Jobs ML / AI

Job Summary

We are seeking a highly organized and detail-oriented professional to support project planning, execution, and control. This role combines the functions of a coordinator and junior project manager and requires strong communication skills, multitasking, and a proactive approach to problem solving.
The primary objective of this position is to ensure the smooth running of projects by coordinating teams, monitoring deadlines, maintaining documentation, and supporting communication with clients and stakeholders.

Key Responsibilities:
- Assist in planning and tracking project progress to ensure adherence to deadlines and key milestones.

- Communicating complex information in a clear and understandable manner.

- Communicating and collaborating with internal and external teams to ensure completion of tasks and alignment with project objectives.

- Monitoring data quality and promptly escalating risks or issues that may impact scope, timelines, or quality.

- Providing regular project updates to clients and stakeholders, aligning expectations, and ensuring transparency.

- Maintaining and updating key project documentation: budget reports, trackers, meeting minutes, delivery schedules.

- Monitoring production KPIs (speed, quality), conducting random quality checks to maintain consistent results.

- Identifying and escalating scope changes at client request to the appropriate internal teams.

- Organizing and conducting meetings with the team/clients to agree on goals, discuss issues, and discuss project status.

- Assisting in resolving project issues and optimizing work processes to improve efficiency.

Requirements:

- Higher education in business, IT, or a related field (preferred)
- Experience in project coordination, operations, or support
- Understanding of the project lifecycle and basic Project Management principles
- Excellent planning, organization, and multitasking skills
- Strong communication skills, ability to clearly communicate information
- Ability to handle risks and problems, results-oriented
- Experience with project management tools (JIRA, Trello, Asana)
- Skills in working with spreadsheets, reports, and calculations
- Mandatory language requirements

Fluency in English and Russian/Ukrainian (oral and written)
will be an advantage

• Experience in data annotation or markup;
• Understanding of Agile/Scrum, Kanban;
• Experience working with cross-functional teams;
• Basic knowledge of IT processes and software development.
   

Company Overview:
Webxloo, LLC is an international software development company founded in 2005, with headquarters in Florida, USA, and a branch in Ukraine. Our products, including Autoxloo and Simulcast , focus on business automation and real-time systems in the automotive industry. We are expanding and seeking a highly skilled AI & PHP Backend Developer to join our team.
 

Role Overview:
As an AI & PHP Backend Developer at Webxloo, you will play a dual role: designing and implementing AI-based automation solutions while developing and maintaining robust backend systems using PHP. You will collaborate with cross-functional teams to enhance our product offerings, ensure system scalability, and deliver intelligent automation solutions that provide real business value.
 

Key Responsibilities:

• Design, implement, and maintain AI-driven automation workflows to optimize internal and external processes.
• Build intelligent automation using machine learning, LLMs, and low-code/no-code tools such as n8n, Zapier, or Power Automate.
• Integrate AI features into enterprise platforms and software products.
• Develop and maintain backend modules using PHP frameworks such as YII2, Laravel, or Symfony.
• Work with databases including MySQL/MariaDB, MongoDB, Redis, and ensure efficient data management.
• Implement clean, maintainable code following OOP principles, SOLID, DRY, KISS, YAGNI, and PSR standards.
• Collaborate with front-end developers, QA, design, and support teams to deliver high-quality features.
• Monitor, debug, and enhance existing codebases to ensure system reliability, performance, and security.
   

Required Skills & Qualifications:

• 1+ year of experience in AI development, workflow automation, or backend PHP development.
• Solid experience with PHP frameworks (YII2, Laravel, Symfony) and OOP principles.
• Proficiency with MySQL/MariaDB, MongoDB, and caching/message queue systems (Redis, RabbitMQ).
• Experience with RESTful APIs, XML, DOM, CURL, and Regex.
• Familiarity with AI/ML tools, LLMs, and enterprise automation platforms.
• Strong analytical skills and attention to detail.
• English proficiency (intermediate or higher) for technical documentation and collaboration.
• University degree in Computer Science, Engineering, or a related field.
   

Preferred/Advantageous Experience:

• Experience with cloud platforms, Docker, Kubernetes, or serverless architectures.
• Experience in automotive, healthcare, or digital commerce industries.
• Knowledge of frontend frameworks (React, Vue.js) is a plus.
   

What We Offer:

• Competitive salary with regular reviews.
• Standard working schedule with no overtime (9:00 - 18:00, lunch break 13:00 - 14:00).
• Exposure to international projects with various AI and backend development challenges.
• Career growth, skill expansion, and leadership opportunities.
• Collaborative team environment with experienced professionals.
   

Technical Requirements:

• Computer or laptop with at least 16GB of RAM.
• High-speed internet (minimum 20 Mbps).

• Headset and webcam for regular video calls.
   
  Candidates must have AI certification from Anthropic (Claude) or equivalent accreditation institutions, demonstrating practical experience in developing with COWORK, AGENTS, SKILLS, LLM, workflows, automations, or other AI solutions. Link for the required courses: https://claude.com/resources/courses or equivalent.
   

  Candidates must have worked with clear understanding utilizing the Anthropic Claude Co-working workspace and tools.

If you are interested in this opportunity, we encourage you to apply now.

Codebridge is looking for an Applied AI Engineer to build the AI functionality of a corporate learning platform end to end. Agents — planning, tool use, acting across the product — are the core, surrounded by retrieval, content generation, and labs. Everything is model-agnostic across Claude, OpenAI, and Gemini. 

Responsibilities: 

• Design and ship agents — the core of the role: planning, tool use, memory, and guardrails, orchestrated with LangChain/LangGraph, exposed via MCP where it fits, running behind a provider-abstraction layer with model routing and cost control 
• Build product features end to end — from the front end through backend services to the model call in the cloud 
• Set up and tune retrieval: ingestion, chunking, retrieval quality, reranking, and grounded generation with citations 
• Evolve the content-generation pipeline: grounded generation from ingested sources, structured outputs that survive provider differences, and accuracy checks that keep generated material true to source 
• Develop hands-on lab environments in a sandboxed execution platform: mock APIs, auto-verification harnesses that grade learner work, and managed multi-provider model access with per-user budgets 
• Take charge of evaluation infrastructure: task datasets, deterministic and model-based graders, regression suites, and cross-provider benchmarks 

Requirements: 

• 4+ years in software engineering, with production systems you can walk through end to end 
• 1+ years shipping production LLM applications — agents, tool use, retrieval — with hands-on work across at least two of the three major platforms (Anthropic, OpenAI, Google) 
• Depth in agent development: tool use, memory, multi-step orchestration, and MCP — you've built and debugged MCP servers, not just consumed them 
• Claude Code as a daily working tool, plus working fluency with the OpenAI API and Gemini — or a demonstrated ability to get there fast, since the abstractions matter more than any single SDK 
• Evaluation fluency: task datasets, deterministic and model-based graders, regression suites. "I tested it manually and it looked fine" is an unfinished sentence 
• Solid Python for LLM tooling, with experience in LangChain/LangGraph or an equivalent orchestration framework 
• Comfort with sandboxed cloud execution environments, CI, and API security basics 
• Clear technical communication — you can review someone else's work rigorously and kindly, and explain a model limitation to a non-engineer without jargon 
• A responsible, outcomes-focused mindset 
• Advanced English or higher 

Nice to Have: 

• Experience with TypeScript/Node/React 
• Provider certifications (Anthropic, OpenAI, or Google Cloud AI) or demonstrable equivalent depth 
• Experience with learning platforms, developer education, or technical enablement 
• Experience with LLM gateway/routing layers, structured-output schemas across providers, or multi-model evaluation tooling 
• Public evidence of technical judgment: open-source contributions, technical writing, or talks 

We Offer: 

• Technical Ownership: You own the AI architecture and the standards behind it 
• Modern AI Work: Agents, retrieval and evaluation as the everyday job, not a side experiment 
• Collaborative Environment: A team that values partnership, creativity, and mutual respect 
• Flexible Work: Work remotely from the comfort of your home or join us in our modern Kyiv office 
• Generous Time Off: 20 paid vacation days + 15 sick leave days annually 
• Professional Growth: Compensation for courses, certifications, and learning resources 
• Cutting-Edge Tools: Access to premium AI tools (Cursor Pro, Claude Code, GitHub Copilot, etc.) 

Recruitment Process:    

1. HR&Technical Interview 
2. Client stage 
3. Offer 

About the role

We’re looking for a Lead who will own the design, build, and scaling of a production-level AI-driven CRM system for player retention. The role sits in the Revenue department and reports directly to the CRO.

This is not a classic CRM or campaign execution position. You’ll define the architecture, connect data, models, and tools into one working system, and move the CRM team from manual campaign building to AI-supervised personalization.

The main outcome

Not the number of campaigns sent. The KPI is how much of the CRM process we can automate while increasing the effectiveness of personalization.

The CRM Manager’s role will shift from building campaigns manually to acting as an AI CRM Supervisor: reviewing recommendations, approving campaigns, and owning GEO results.

What you’ll do

• Month 1: Audit the current CRM setup, Customer.io usage, data flows, segmentation, churn models, and integrations. Deliver the target architecture.
• Months 2–3: Launch an MVP flow: Player Data → Churn Prediction → AI Analysis → Offer Recommendation → Customer.io Campaign → Human Approval.
• Months 3–4: Automate segmentation, timing, offer selection, campaign creation, and basic analytics.

• Months 4–6: Put an AI optimization loop into production (Campaign → Results → Analysis → Learning → New Recommendation) and prepare the foundation for VIP/PAM AI.

   

What we’re looking for

• Proven experience building or owning production automation systems that connect data, models, and marketing tools, not only campaign execution
• Hands-on experience with at least one major CRM/marketing automation platform: Customer.io (strongly preferred), Optimove, Braze, or Iterable
• Practical experience with CDPs, data warehouses (BigQuery or Snowflake), and orchestration tools (dbt, Airflow, n8n, Make, or similar)
• Ability to design and implement AI-driven flows: churn/LTV/next-best-action models, recommendation logic, LangChain/LangGraph, or direct LLM APIs (Claude, OpenAI)
• Strong systems thinking: you can describe architecture, data flow, agents, integrations, approval layer, and analytics loop, and then build it
• Senior/Lead level: you own the direction, from roadmap and implementation to documentation and scaling

• Nice to have: background in iGaming, fintech, e-commerce, subscription, or marketplace with high-volume customer data

   

This is probably not a fit if you

• Only create campaigns in Customer.io or similar tools
• Only write prompts or use ChatGPT without system integration
• Do pure dashboard/BI analysis without building automation
• Are a pure Python developer without CRM and marketing automation context

• Wait for a ready technical specification instead of proposing the system design

   

Hiring process: technical assignment

You’ll be asked to design an AI-driven CRM system for 1M players with an existing churn model and Customer.io: daily player analysis, reactivation targeting, best offer and timing selection, campaign creation, human approval, and a feedback loop. We evaluate architecture, data flow, agents, APIs, decision logic, monitoring, and scalability.

What we offer

• 🌍 Work from anywhere: fully remote
• ⏰ Flexible hours: balance your personal and professional life
• 🗣 Corporate English speaking club: regular practice with expert guidance
• 🤝 A culture that cares: a friendly environment with a strong corporate culture
• 🚀 Growth: real career advancement in a rapidly expanding marketing company

N-iX is looking for a Senior/Lead AI Engineer for one of our clients.

Our client is a precision mental health company on a mission to make high-quality, evidence-based digital mental health support accessible at scale.

Their platform transforms deep clinical expertise into trusted, personalized, and measurable digital experiences that help people improve their mental wellbeing. Working with digital health partner companies across the US, they combine AI, rigorous clinical science, and human-centered design to deliver meaningful real-world outcomes.

This is a high-ownership, high-impact role. We operate to the highest standards of clinical safety, compliance, and reliability, because the people using our platform are managing real mental health challenges.

Key Responsibilities:

• Design, build, and maintain agentic AI systems, including multi-agent orchestration frameworks (e.g. LangGraph) for digital therapy product
• Lead the migration of conversational AI bot architecture from legacy frameworks to modern agentic frameworks, improving developer velocity and feature extensibility.
• Develop and maintain fast inference service integrations to reduce end-to-end message latency and enable more responsive AI-powered interactions.
• Work closely with AI scientists and researchers to translate research prototypes into robust, production-grade software.
• Monitor AI models in production — build telemetry and observability tooling to ensure reliability and quality.
• Disseminate and instil good engineering practice, whilst able to work effectively alongside scientists who may be less focused on engineering rigour.
• Manage and mentor other engineers, supporting their technical growth and development.
• Stay current with developments in AI engineering — particularly around LLMs, agentic systems, and LLMOps — and advocate for their adoption where they can meaningfully improve our platform or engineering processes.
• Work effectively in a cross-functional team, collaborating closely with Product, QA, DevOps, Data, AI, and Engineering stakeholders
• Communicate confidently in a multinational environment with business, engineering, marketing, and clinical stakeholders when needed
• Participate fully in Agile/Scrum ceremonies and contribute to continuous improvement
• Troubleshoot complex issues, perform root-cause analysis, and investigate new tools and approaches
• Identify delivery bottlenecks, technical risks, and improvement opportunities proactively
• Help balance delivery speed, quality, scalability, maintainability, and technical debt across initiative

Requirements:

• 6+ years of professional backend software engineering, with at least 2+ years dedicated to building, deploying, and maintaining production applications using LLMs and GenAI
• Agile thinker, able to work with evolving and underspecified requirements
• Proven ability to deliver software in complex, fast-moving environments.
• Strong programming skills and experience building production software systems.
• Experience with LLMs, generative AI, or modern AI engineering (including prompt engineering, LLM APIs, LLMOps / MLOps, or agentic frameworks). 
• Enthusiasm for and comfort with the rapid changes happening in software engineering driven by AI — including AI-assisted development tools and evolving engineering practices.
• Proven ability to mentor and support others, to ‘see the bigger picture’, and make pragmatic engineering trade-offs.
• A desire to make a meaningful difference — our mission is to improve access to mental health care.
• An interest in working with data and understanding how AI systems can be safely and effectively deployed in clinical contexts
• Strong understanding of version control, security best practices, and Agile methodologies
• Strong Agile delivery experience with focus on speed and quality
• Startup mindset: adaptable, fast-moving, pragmatic
• Result-oriented mindset with ownership mentality
• Exceptional verbal and written English communication skills; proven track record presenting technical designs, trade-offs, and leading conversations with client stakeholders
• Able to work independently and as part of a team
• Proactive, responsive, and dependable with strong ownership mindset

Technical Stack/Tools:

• AI Orchestration & Ops: LangChain, LangGraph, Langfuse
• Programming Languages: Python, TypeScript/JavaScript
• Cloud & Infrastructure: Azure, Kubernetes (AKS), Docker, Terraform
• Data & Storage: Azure SQL, Cosmos DB, Blob Storage, Azure Storage 
• DevOps, Infrastructure & CI/CD: Azure DevOps, GitHub, Azure Pipelines, Docker, Kubernetes, Terraform, Grafana

Nice to have:

• Experience building or working with coding agents or AI-assisted development tooling.
• Experience with Azure cloud services, including Azure ML, Azure Kubernetes Service (AKS), or Azure DevOps.
• Experience with message broker systems and real-time data pipelines.
• Experience working in a regulated environment (e.g. healthcare, finance, or with HIPAA and GDPR).
• Experience delivering software in a research or clinical environment. 
• BSc or higher in Computer Science, Mathematics, or a related field.
• Testing and test automation experience
• Data engineering experience

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide

About your role: We’re looking for a Head of AI who can turn AI adoption into a systematic business advantage — not just introduce new tools, but build solutions that deliver measurable financial impact. At United Tech, you’ll work with complex B2C products reaching millions of users across international markets, identifying where AI can improve product performance, accelerate development, and make our teams more effective. This role combines strong engineering expertise, hands-on experience with production LLM systems, and a business mindset to turn AI opportunities into scalable solutions with proven results.

In this role, you will

• Define and drive the company's AI strategy, turning business opportunities into a structured roadmap of AI initiatives
• Identify, evaluate, and prioritize AI use cases across product development and internal business processes
• Lead the design and implementation of production-ready LLM solutions, including AI agents, multi-agent systems, and generative features
• Build and scale internal AI tools that improve engineering productivity and are actively adopted by other teams
• Evaluate the business case for AI initiatives before development, estimating expected impact, development costs, and inference expenses
• Establish measurement frameworks to assess the actual impact of AI solutions, define baselines, and distinguish real improvements from external factors
• Introduce engineering standards and best practices for AI development, including architecture, evaluation, security, and reliability
• Work closely with engineering and product teams to integrate AI into existing workflows, development processes, and products

It’s all about you

• 5+ years of software development experience (we’re open to considering candidates with less experience if they have strong relevant expertise)
• 2+ years of hands-on experience building and deploying LLM-based solutions in production, including AI agents, integrations, and generative features
• Experience developing internal tools and AI solutions actively used by other teams
• Ability to evaluate the economics of AI initiatives before development, including expected business impact, development costs, and inference costs
• Experience measuring the actual impact of implemented solutions, defining baselines, choosing measurement methods, and separating results from external factors
• Solid understanding of the software development lifecycle, including estimation, code reviews, and release management
• Understanding of product metrics such as conversion, retention, ARPU, and unit economics
• Upper-Intermediate (B2) English or higher
  
  It would be a plus
• 2+ years of experience in a Tech Lead or Staff Engineer role
• Experience implementing RAG solutions for codebases or technical documentation

AI skills & tools

• Experience designing and operating multi-agent systems in production, including orchestration, autonomy boundaries, failure handling, and human-in-the-loop workflows
• Hands-on experience building custom MCP servers, not just integrating existing ones
• Advanced Claude Code expertise, including custom skills, commands, subagents, and hooks
• Strong context engineering skills: understanding what belongs in the context window, what should be handled through RAG, and what should be exposed as a tool
• Experience with evaluation frameworks, including offline evaluation datasets, LLM-as-a-judge, and detecting model performance degradation after updates
• Understanding of inference economics and optimization techniques, including caching, batching, model selection, and cost per unit
• Knowledge of AI security policies and practices, including prompt injection protection, data and secret leakage prevention, and agent permission management
• Familiarity with DORA and SPACE engineering metrics
• Claude Certified Architect – Professional (CCAR-P) or Claude Certified Developer – Foundations (CCDV-F) certification

What we offer

Care and support: 

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Maternity Recovery Support Allowance
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine
   

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule 
• Modern equipment or depreciation of your own tools
   

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
   

Hiring process

• Intro call
• Technical interview
• Final  interview
• Reference check
• Offer

Project Overview

Join a high-impact Smart City project in Saudi Arabia (Riyadh). You will be optimizing and creating machine learning models to process video streams from surveillance cameras. Due to strict security restrictions, there is no remote access to the environment or data.

• Type: 6-month contract

• Format: On-site presence in Riyadh, Saudi Arabia for the majority of the time

• Relocation/Travel Support: Visa, airfare, accommodation, and a daily allowance are fully provided.

Requirements

• Experience: At least 5 years of relevant AI/ML or computer vision engineering experience.

• Domain Expertise: Proven track record of delivering production video analytics in smart-city, public-space, transport, or comparable environments.

• Core Tech Stack: Advanced hands-on Python skills, PyTorch and/or TensorFlow, and OpenCV.

• Infrastructure & Tools: Linux, Git, Docker, GPU-based training/inference, and model serving.

• Video Analytics: Practical understanding of video streams, camera/VMS integration, asynchronous/concurrent processing, and time/location alignment.

• Soft Skills: English proficiency (effective communication), ability to work independently, lead the ML workstream, and coordinate interfaces with UI/UX and platform teams.

Responsibilities

• Model Development: Train, fine-tune, and evaluate computer vision models for object detection, counting, multi-object tracking, and classification (people and vehicles).

• Advanced Analytics: Develop crowd analytics (density estimation, occupancy, heatmaps) and historical forecasting trend models (footfall).

• Security & Anomalies: Implement event and anomaly detection for video alerts (overcrowding, restricted-area intrusion).

• Pipeline Optimization: Optimize models and inference pipelines for real-time processing on customer-provided GPU/edge hardware (quantization, batching, acceleration).

• Integration: Package models into deployable inference services and integrate them with video management interfaces (RTSP) and data pipelines (Vantiq).

• Engineering Quality: Maintain production-quality Python code, write automated tests, handle input validation, and manage structured logging/error handling.

• Data & MLOps: Define annotation guidelines, validate labels, handle model versioning, manage containerized deployments, and monitor data drift.

Key Deliverables

• Trained and validated models with architecture details, weights, and training/inference scripts.

• Baseline and final evaluation reports using representative test data.

• Complete ML source code, automated tests, and reproducible experiment records.

• Deployable container images, build definitions, and troubleshooting runbooks.

• Technical support and knowledge transfer during SIT, UAT, and production deployment.

About us:

Spaceplace is a Ukrainian AI startup building an Enterprise Intelligence Platform: a new generation of enterprise software where artificial intelligence becomes an integral part of how companies work. We create a single intelligent environment that brings together corporate knowledge, data, business context, and AI agents, helping every employee and the whole organization think, analyze, and act more effectively. Our ambition is to rethink how companies will work in the age of AI, and to build a global product that becomes the intelligent foundation of the business of the future.

About the role:

We’re looking for a strong, experienced AI Delivery Manager who can successfully lead multiple AI projects and manage relationships with multiple clients simultaneously.
You’ll own each deployment from the day it leaves sales to the day it runs in the client’s business, keeping 2–3 moving at the same time. A typical deployment takes 5–10 weeks. This is a new role, so you’ll shape how we deliver as much as you deliver.

Your future responsibilities:

Understand the business

• Run discovery with the client’s owners, managers and front-line staff: how sales, service and operations really work, not how the org chart says they do.
• Collect and clean the sources: price lists, documents, CRM fields, call recordings, policies. Personal data is anonymised before it leaves the client.
• Map the roles, processes, data and rules, and find what is missing before it blocks the build.

Turn it into a build plan

• Write the specs engineers build from: scenarios, field mappings, integration requirements and where a person has to step in.
• Write the test cases that define what “good” means for each workflow and role workspace.
• Agree the scope with the client in writing. After that, every change goes through a short written change note.

Configure and connect

• Configure agents and role workspaces on our platform; load the knowledge and the rules.
• Wire integrations with CRM, ERP, telephony and messengers together with engineers. Call the APIs and read the webhook payloads yourself, so you know it works before anyone promises a date.
• Check quality and cost on test runs before the client sees anything.

Test and go live

• Run pilot testing with the client’s own staff on their real cases, and turn their feedback into fixes.
• Own the go-live: client acceptance, a quality report at handover, and rollout to more teams in waves.
• Train the client’s people: managers in their workspaces, administrators in the settings.

Keep several deployments moving

• Hold the plan and the dates for each one, and send every client a short written status each week.
• Run the weekly tuning cycle after launch, and report what changed against how the business worked before.

Improve how we deliver

• Keep the delivery playbook current: templates, checklists and lessons from each deployment.
• Bring what you see in the field back to product: repeated requests, missing features, patterns we can reuse.

Your professional qualities:

• Minimum 3 years in delivery, implementation, business analysis, customer success or consulting.
• Hands-on experience shipping something with LLMs, even a small thing.
• Ability to call an API, read a webhook payload and write a short script.
• Clear, concise written communication; you put agreements in writing.
• Ability to stay calm with several clients pulling at once and know what to do first.
• Ukrainian (native) and English (C1+).
• Based in Europe, comfortable working on Kyiv time.

Nice to have:

• Hands-on work with CRMs (Bitrix24, Salesforce, Creatio), IP telephony (Binotel, Ringostat) or messenger APIs (Telegram, Viber, WhatsApp)
• Basic SQL, or experience writing evaluations or test suites for LLM output
• Knowledge of real estate, healthcare or retail operations
• Polish or another EU language
• Work in an early-stage company

What we offer for your success:

• Compensation: $3,500–6,500 per month, depending on experience.
• B2B contract, remote from anywhere in Europe.
• Equity conversation after 6 months.
• Start in November 2026.
• Daily work with the Spaceplace founders: what you learn in the field changes the product.
• End-to-end view of AI deployments across several industries, from the first client meeting to measured results.

Our recruitment process:

• Application. Send your CV and one thing you have built with an LLM: a link, a repo or a screenshot is enough. It tells us more than the CV.
• Intro call, 30 minutes, with Ihor. Your experience, the role, your questions.
• Practical task, about 3 hours, at home. You get an anonymised brief from a real-looking client. You write a one-page spec and 10 test cases, and you check a sample webhook. No trick questions.
• Final call with the founders. You walk us through the task, and we talk about how you would run your first deployments. An offer follows within a week.

Ready to become a part of Spaceplace? Go ahead and send us your CV. We’ll be thrilled to welcome you to the team!

About Atlas Technica

Atlas Technica’s mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds and other investment firms. Founded in 2016, we have grown year over year through our uncompromising focus on service.

We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our Core Values, thrive, and contribute to this environment while putting the customer first. At Atlas Technica, we offer a competitive salary, comprehensive benefits, and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

Position Overview

We are seeking a Senior AI Engineer to join our growing AI & Advisory team in Ukraine. This is a hands-on engineering role focused on building, integrating, testing, and deploying AI-enabled applications and enterprise solutions for sophisticated client environments.

Working under the technical direction of a Principal or Senior AI Architect, the Senior AI Engineer will translate approved architecture and security decisions into working software, integrations, deployment patterns, tests, and technical evidence. This role will build rapid proofs of concept while also helping move successful solutions toward secure, maintainable, and supportable production use.

The successful candidate will combine strong software engineering fundamentals with practical AI, Azure, integration, and security experience. This is not a research-only or prompt-engineering role; we are looking for an engineer who enjoys writing production-quality code, solving complex integration challenges, testing assumptions, and delivering reliable technical solutions.

Position Responsibilities:

• Build rapid proofs of concept and production-ready components for AI-enabled research, data access, document analysis, workflow automation, reconciliation, and internal application use cases
• Develop, review, refactor, test, and maintain application code using Python and other supported development technologies
• Build and integrate REST APIs, MCP components, connectors, webhooks, databases, enterprise applications, and data-integration services
• Connect AI-enabled workflows with Microsoft 365, SharePoint, Microsoft Graph, enterprise data stores, third-party platforms, and approved AI services
• Implement retrieval and data-processing solutions using embeddings, vector or hybrid search, metadata filtering, indexing, and access-aware patterns
• Deploy and operate applications within Microsoft Azure using approved hosting, identity, storage, database, networking, security, and deployment patterns
• Build repeatable development and release processes using Git, CI/CD, Docker, automated testing, and infrastructure automation
• Implement appropriate authentication, authorization, role-based access, secrets management, logging, monitoring, environment separation, and other security controls
• Test AI solutions for reliability, security, model failure, prompt injection, inappropriate data access, unsafe tool use, dependency failure, and other production-readiness risks
• Participate in architecture reviews, code reviews, client technical sessions, troubleshooting, production-readiness assessments, and technical handoffs
• Maintain clear implementation documentation, diagrams, runbooks, testing evidence, and technical decisions while proactively communicating blockers, scope changes, and delivery risks

• Contribute reusable code, deployment templates, testing approaches, connector patterns, and engineering standards to Atlas Technica’s Ukraine-based AI capability

   

Requirements:

• 7+ years of professional software engineering experience, including recent hands-on work with AI-enabled applications, cloud applications, data systems, or enterprise integrations
• Strong Python development skills with experience building APIs, services, scripts, applications, or data workflows
• Experience with at least one additional production development stack such as C#/.NET, TypeScript/Node.js, Java, or a comparable technology
• Hands-on Microsoft Azure experience across application hosting, identity, storage, databases, secrets management, logging, monitoring, and deployment
• Practical experience with LLM APIs, agentic workflows, retrieval-augmented generation (RAG), embeddings, structured outputs, prompt design, and model limitations
• Experience building or integrating APIs, connectors, MCP components, databases, data platforms, or enterprise workflow systems
• Strong understanding of authentication, authorization, role-based access control, least privilege, environment separation, and secure secrets management
• Experience with Git, CI/CD, Docker, automated testing, production troubleshooting, and modern software-development practices
• Ability to write clean, maintainable, and testable code and clearly explain technical and implementation decisions
• Strong problem-solving, ownership, documentation, and follow-through skills with the ability to work effectively in a remote and collaborative delivery environment

• English proficiency at B2 level or higher, with the ability to participate effectively in technical client discussions and produce clear written documentation

   

Desirable Qualities:

• Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Agent Framework, or comparable AI orchestration technologies
• Experience with Microsoft Graph, SharePoint Online, Microsoft Entra ID, Microsoft 365, Copilot Studio, or Power Platform
• Experience with technologies such as Azure Functions, Azure Container Apps, App Service, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, or similar data and application platforms
• Experience developing evaluation datasets, regression tests, or other approaches for testing non-deterministic AI components
• Experience moving prototypes, internally developed applications, vendor solutions, or citizen-developed applications toward controlled production use
• Experience supporting financial services, regulated industries, enterprise clients, or other environments with strong security and compliance requirements
• Relevant Microsoft Azure, AI, software engineering, or cloud certifications

• Experience creating reusable engineering patterns, mentoring junior engineers, or contributing to engineering standards and technical knowledge sharing

   

Atlas Technica is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

About the Role

We are looking for an experienced Voice AI Agents Engineer who will be responsible for building, testing, and improving AI voice agents used in our products and internal tools.

This role focuses specifically on the development of Voice AI agents — systems that can understand speech, process user intent, and respond naturally using modern AI models.

You will work closely with the product and engineering teams to design reliable and scalable voice interactions, experiment with new technologies, and continuously improve the performance of our AI agents.

Responsibilities

• Design, build and maintain Voice AI agents
• Develop pipelines for speech-to-text, LLM processing, and text-to-speech
• Test and improve conversation flows and voice interaction quality
• Integrate voice agents with internal systems, APIs, and business tools
• Monitor performance and optimize response quality, latency, and reliability
• Experiment with new AI models and voice technologies
• Work closely with product managers and developers to ship AI-driven features

Requirements

• 1.5+ years of hands-on experience building Voice AI agents
• Strong experience with LLMs and AI agent architectures
• Experience working with speech-to-text and text-to-speech systems
• Understanding of conversational AI design and dialogue systems
• Ability to independently design and implement AI-driven solutions

Nice to Have

• Experience with telephony or real-time voice systems
• Experience with frameworks for building AI agents

• Experience with prompt engineering and evaluation pipelines

   

What we offer
 

• Fully remote work format and flexible working hours.
• Competitive salary pegged to USD.
• 24 days of paid vacation (sick leave, national, religious, and company holidays).
• A friendly communication culture and transparent processes.
• Dynamic work environment.
• Opportunities for professional development and career growth.
• No micromanagement — just trust, ownership, and freedom to experiment.

DOIT Software is looking for an AI/ML Engineer to join the engineering team of a B2B SaaS product company and build machine learning and AI features into its platform.

About the Client

Our client is a SaaS product company working in analyst relations (AR) and B2B influencer relations. Its platform helps technology vendors and B2B companies manage, track, and measure their relationships with industry analysts who influence buyers in the market.

The product combines a specialized CRM with a searchable database of analysts and influencers, analytics and reporting dashboards (share of voice, sentiment, competitive intelligence), and an analyst-facing self-service portal.

About the Role

You will design Python-based models and services, integrate large language models (Anthropic’s Claude), and ship them alongside the client’s software engineering team.

The platform runs on Angular, C# (.NET), SQL Server and MongoDB. You will not be the primary developer on that stack, but you will work in it daily: pulling data from it, exposing your models to it through APIs, and pairing with engineers to get AI features into production.

You will report to the VP of Engineering. This is a full-time, fully remote position that requires at least 3-4 hours of daily overlap with US Eastern Time for standups and pairing.

What You’ll Do

Machine learning and data science

• Design, train, evaluate and deploy ML models for classification, clustering, recommendation, NLP and forecasting use cases.
• Explore, clean and engineer features from product data stored in SQL Server and MongoDB.
• Define metrics, run experiments and report results clearly to engineering and product stakeholders.
• Monitor models in production for drift, accuracy and cost, and retrain as needed.

AI and Claude integration

• Build LLM-powered features using the Claude API: prompt design, tool use, structured outputs and retrieval-augmented generation (RAG).
• Develop evaluation sets and automated tests to measure LLM output quality, accuracy and safety.
• Optimize LLM usage for latency and cost (prompt caching, model selection, batching).
• Use AI coding assistants such as Claude Code to speed up your own development work.

Working with the product engineering team

• Package models and AI logic as Python services and REST APIs that the C# (.NET) backend calls.
• Work with Angular developers to shape how AI features appear and behave in the UI.
• Write efficient SQL Server queries and MongoDB aggregations, and help design schemas for the data that ML features need.
• Take part in code reviews, sprint planning and standups, following the team’s Git, CI/CD and testing practices.
• Document models, data pipelines and APIs so other engineers can support them.

Required Qualifications

• 3–5 years of professional experience in data science, ML engineering or a similar role.
• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics or a related field, or equivalent experience.
• Strong Python skills, including pandas, NumPy and scikit-learn.
• Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow).
• Solid understanding of ML fundamentals: supervised and unsupervised learning, feature engineering, model evaluation and avoiding overfitting.
• Practical experience building with LLM APIs, ideally Anthropic Claude: prompt engineering, tool use, RAG and output evaluation.
• Experience building and consuming REST APIs in Python (FastAPI or Flask).
• Working knowledge of SQL (SQL Server preferred) and a NoSQL document database (MongoDB preferred).
• Comfortable with Git, code reviews and Agile/Scrum workflows.
• Clear written and spoken English (Upper-Intermediate or higher) for daily collaboration with a distributed team.
• Proactive written communication: status updates, clear questions and documented decisions.
• Ownership of features from prototype to production, not just notebooks.
• Curiosity about new AI capabilities and the judgment to know when a simpler approach is better.

Nice to Have

• Experience with vector databases or embedding search (e.g., MongoDB Atlas Vector Search, pgvector, Pinecone).
• Familiarity with agent frameworks, the Model Context Protocol (MCP) or the Claude Agent SDK.
• Reading-level familiarity with C# / .NET and Angular / TypeScript, enough to trace how your services are called.
• MLOps experience: Docker, CI/CD pipelines, model versioning (MLflow or similar) and cloud deployment (Azure or AWS).
• Prior work on a multi-tenant B2B SaaS product.
• NLP work on unstructured business text such as documents, emails or research content.
• Understanding of data privacy and security practices for customer data used in AI features.

Recruitment Process

1. Pre-screen call with a Recruitment Manager.
2. Technical interview with DOIT Software.
3. Online call with the client.

This is a fantastic opportunity to join a fast-growing company at the heart of the digital revolution. Our software product is revolutionising manufacturing through automation. We are trusted by global brands and work across sectors (mobility, consumer goods, machinery etc).

We have a talented and ambitious team. We value integrity and are passionate about our mission to revolutionise advanced manufacturing.

This is your opportunity to:

• Be part of an AI product company in advanced manufacturing.
• Be part of a research focused team.

Responsibilities: 

• Research, test and develop generative AI based solutions.
• Collaborate with mechanical engineers to enhance your research.
• Design and implement end-to-end AI solutions that integrate with existing systems.
• Collaborate with software engineers and product teams to understand business needs and translate them into technical solutions. 
• Research emerging AI trends and techniques to continually improve the AI solution offerings. 
• Prepare and maintain documentation on design, code, and processes to ensure organizational knowledge retention. 
• Monitor and evaluate the performance of AI systems in production, identifying areas for improvement or further development.

You will be joining a well-versed team if you have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. 
• Proven experience in developing generative AI or machine learning models.
• Commercial experience in using large language models.
• Programming skills in languages such as Python or JavaScript.
• Familiarity with databases (SQL, NoSQL). 
• Solid understanding of deep learning, NLP, computer vision, or other specialized areas within AI is a plus. 
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Good communication skills and the ability to translate complex technical concepts to non-technical stakeholders. 
• Commitment to continuous learning and development in the field of AI and emerging technologies.

We are looking for an AI/ML Research Scientist.

Requirements:

• PhD with 1+ years of research experience in Electrical Engineering, Computer Science, Information Systems, or a STEM-related field
• 1+ years of experience with modern machine learning architectures including Transformers, Graph Neural Networks, and Diffusion models
• Strong coding skills in Python and C++
• Experience with machine learning frameworks like PyTorch
• At least 1 publication in top machine learning conferences (NeurIPS, ICML, ICLR, etc.)
• Experience with deep learning on graphs (general graphs, circuit graphs, molecular graphs, or trees)
• Familiarity with classical search and optimization techniques (Genetic Algorithms, Monte-Carlo Tree Search, Dijkstra's Algorithm, etc.)
• Experience with EDA tools, either commercial or open-source
• Publications in top-tier venues focusing on AI for chip design or AI for materials science. 

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

We are looking for someone who:

🔹Uses advanced AI coding tools and agents as an integral part of the software development lifecycle.
🔹Knows how to use AI effectively for coding, debugging, testing, code exploration, refactoring, documentation, and technical research.
🔹Can design effective workflows around AI rather than relying on simple prompting.
🔹Can identify engineering tasks and processes that can be automated or significantly accelerated with AI.
🔹Understands both the capabilities and limitations of AI-generated code and applies strong engineering judgment when reviewing and deploying it.
🔹Bonus: has built internal AI tools, agents, automation workflows, or AI-powered product capabilities.
 

Key Requirements:

🔹 5+ years of professional software development experience, primarily in backend development;
🔹 Strong experience designing and building production-grade services and APIs;
🔹 Strong software engineering fundamentals, including system design, data structures, clean code, and scalable architecture;
🔹 Strong experience working with C# / .NET ;
🔹 Strong experience with SQL and relational databases, preferably MySQL;
🔹 Experience working with AWS or other cloud platforms;
🔹 Experience with distributed systems, high-scale environments, and production troubleshooting;
🔹 Experience integrating with complex external APIs and third-party platforms;
🔹 Strong ownership mindset — comfortable taking a problem from initial definition through production;
🔹 Strong communication and collaboration skills;
🔹 Ability to independently explore unfamiliar domains and technologies and quickly turn them into working solutions;
🔹 English – Upper-Intermediate or higher.

What you will do:

🔹Design, develop, and own scalable backend services and APIs supporting our social advertising capabilities;
🔹 Build and maintain integrations with leading social platforms such as Meta, TikTok, YouTube, and other advertising ecosystems;
🔹 Take end-to-end ownership of features — from technical design and implementation through production rollout, monitoring, and optimization;
🔹 Work with complex third-party APIs, authentication flows, data models, platform limitations, and constantly evolving external integrations;
🔹 Build reliable, high-scale distributed services operating in a cloud production environment;
🔹 Develop a deep understanding of the product and business use cases, and contribute to product and technical decisions — not only implementation;
🔹 Identify opportunities to simplify systems, automate processes, and improve engineering velocity;


Interview stages:
🔹 HR Interview YozmaTech;
🔹 Technical Interview;
🔹 Live Coding Session;
🔹 Interview with CTO;
🔹 HR Interview;
🔹 Reference Check;
🔹 Offer.

 

INFOBUS is one of the leading online platforms for booking bus, train, and flight tickets. We help millions of people worldwide travel affordably and comfortably.

Six of our ten departments already use AI every week, but adoption remains fragmented, without a unified ecosystem. We are looking for an engineer to build a comprehensive AI architecture for the company, rather than maintain existing processes.

Our current projects include INFOBUS Hub (a management portal), AI agent development, and a prototype AI voice agent for customer support.

We are looking for someone who is deeply engaged in AI: writing production code during the day and experimenting with their own agents in the evening.

Responsibilities:

• AI agent development: Build text and voice agents for customer support, with seamless conversation handoffs to human support agents.
• New sales channels: Enable sales through AI channels, including apps in ChatGPT and Claude, and develop APIs and MCP integrations for third-party agents.
• Knowledge and integrations: Build RAG solutions using internal knowledge and integrate them with the BusSystem API, Zoho Desk, n8n, and other internal services.
• Department automation: Build automated workflows for teams across the company.
• Optimization and quality: Monitor response quality and cost, set up evaluations (evals), and optimize latency.
• Knowledge sharing: Run one workshop per month and help internal “AI guides” with complex automations.

Requirements:

• Software development experience: 2+ years of commercial experience with Python or TypeScript.
• AI stack and architecture: Hands-on experience building AI agents using tool use, structured outputs, and MCP. Experience gained through personal projects also counts.
• Modern development tools: Regular use of AI-assisted development tools such as Claude Code, Cursor, or similar solutions.
• Engineering mindset: Ability to investigate and address hallucinations and agent failures. You find debugging these issues engaging rather than intimidating.

Nice to have:

• Experience deploying AI solutions to production and understanding real-world use cases and failures.
• Experience with voice agents (Voice AI) and evaluations (evals).
• Experience in travel or e-commerce.

What We Offer:

• A competitive compensation based on the interview results, plus a bonus for each successful launch with a verified business impact, measured by comparing results before and after launch.
• Work format: fully remote work from any country, preferably in a European time zone within two hours of Kyiv; a five-day working week with two days off and a flexible start time.
• Tools and professional development:
  • Company-funded access to all necessary AI tools and services on business plans;
  • A separate monthly budget for testing new models and APIs;
  • A budget for relevant training, courses, and conferences.
• Culture: An experiment that is measured and stopped at the right time is a valid outcome. Your launch is your case study, which you can present under your own name without disclosing customer data.
• Team: Direct reporting to the MD of infobus.eu (AI Transformation Lead) and close collaboration with an AI Project Manager.

Ready to build AI solutions that make a measurable difference? Send us your CV and help shape the AI architecture of INFOBUS.