Jobs ML / AI

We're looking for an engineer with hands-on experience building and evaluating GenAI services - from RAG and agentic reasoning systems to production-grade LLM deployments. You'll work closely with Frontend and Backend teams to bring AI agents into real products, with a strong focus on reliability, safety, and shipping working prototypes fast.

Hard Skills:

• Practical experience developing and evaluating GenAI services, including RAG systems, understanding of the "ReAct" (Reasoning + Acting) paradigm and Agentic RAG, LLM API integration, and prompt/context engineering, as well as training, fine-tuning, and deploying ML models in production environments.
• Knowledge of ML/GenAI frameworks: LangGraph or LangChain, PyTorch / TensorFlow, Hugging Face, OpenAI/Anthropic SDK.
• Practical commercial experience working with AI models via API (Gemini, Anthropic) and self-hosted models (Llama 3, Mistral, Mixtral), with an understanding of model differences based on functional/non-functional requirements (FR/NFR).
• Deep understanding of how LLMs interact with external APIs via Function Calling.
• Experience with vector databases, semantic search methods, and principles of database structuring and cleaning.
• Practical experience with at least one cloud platform (AWS, GCP, or Azure).
• Proficiency in Python and understanding of asynchronous programming.
• Understanding of the AI model lifecycle: monitoring, versioning, and quality evaluation (RAGAS, DeepEval), with hands-on experience using these tools.
• Experience with Guardrails: setting hard constraints on conversation topics and agent actions, filters that automatically strip personal data before sending requests to external LLMs, and the ability to build output filters that fact-check generated responses before they're displayed.
• Deterministic Logic Integration — running AI agents on strict schemas to prevent the model from "making things up."
• A plus: knowledge of automated testing approaches for evaluating responses across large datasets to measure hallucination rates before MVP launch.
• Knowledge of Human-in-the-loop mechanisms, ensuring agents cannot execute actions without final user verification.
• Ability to design memory systems that store context from a client's previous conversations and operations for personalization (Long-term Memory & User Context).

Soft Skills:

• Ability to clearly communicate complex technical concepts and mentor team members.
• Ability to quickly test and evaluate new libraries and approaches.
• Analytical problem solving - debugging complex "black boxes" and understanding why an agent behaves unpredictably.
• Focus on delivering a working prototype rather than a perfect research paper.
• Close collaboration with Frontend and Backend developers to seamlessly integrate AI agents into the required environment.

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

*not applicable for freelancers

AI and Software engineer for a seed-stage VC backed startup.

AI & SOFTWARE ENGINEERING INTERN
Help build production AI products that turn complex nonprofit data into actionable intelligence.
REMOTE INTERNSHIP ENGLISH
 

WHY JOIN US
- 50% month-over-month growth as we add US
customers and partnerships.
- Backed by leading investors in the sector.
- Direct mentorship from our founder, an ex-JP
Morgan engineer.

WHO WE ARE LOOKING FOR
Current students or recent graduates in Computer
Science, Data Science, AI or a related field.
Strong programming fundamentals, ideally with
Python.

Evidence that you build things: personal projects,
university work, open-source contributions or
internships.

Comfort working independently, learning quickly and
communicating in English.

WHAT YOU WILL WORK ON
Build and improve features powered by LLMs and
other AI models.

Develop APIs, backend services and reliable data
pipelines.

Extract and structure information from messy
real-world web sources.

Improve data quality, matching and enrichment
across hundreds of thousands of organizations.

Ship useful work into production and see how
customers use it.

WHAT YOU WILL GAIN
Hands-on ownership of real AI and software
problems.

Close mentorship in a fast-moving international
startup.

Experience across engineering, data, AI and product
development.

The opportunity to grow into a longer-term role if
there is a strong mutual fit.
 

IT Craft is looking for an experienced AI Developer with hands-on expertise in LLM evaluation and automated testing to join our team. In this role, you will take ownership of designing and implementing an evaluation framework for a deployed AI assistant running on AWS Bedrock, with infrastructure support from the internal DevOps team.

Key Responsibilities:

• Design and implement automated end-to-end and regression testing infrastructure for an LLM-based assistant;
• Build an evaluation harness that runs a structured set of prompt scenarios against the deployed service;
• Implement automated checks for response correctness, tool usage, and guardrail behavior;
• Generate clear pass/fail results based on agreed evaluation baselines;
• Collaborate with the internal DevOps team to integrate evaluation runs into CI/CD processes and identify quality and behavior regressions before and after deployments;
• Analyze evaluation results and continuously improve test coverage and reliability;

• Plan and organize the implementation independently, define follow-up tasks, and coordinate with internal specialists through regular synchronization meetings.

   

Required Skills:

• Hands-on experience with LLM evaluation tools such as Promptfoo, Langfuse, Arize, or comparable solutions;
• Practical experience designing or implementing automated evaluation and regression testing for LLM-based applications;
• Understanding of approaches used to evaluate non-deterministic LLM responses, tool calls, and guardrail behavior;
• Solid experience with AWS and CI/CD;
• Ability to design a solution from scratch and deliver it independently;
• Familiarity with Kotlin and Spring would be a plus;
• Strong written and spoken English (Upper-Intermediate+ / Advanced).
   

IT Craft offers:

• Competitive compensation according to the qualifications;
• Flexible working hours, remote work;
• Opportunity for career growth;
• Compensation for technical courses, educational resources, and sport;
• In-house English training;

• A friendly team of open-minded people.

   

Please send your CV.
By submitting your application, you consent to the processing of your personal data in accordance with IT Craft's Privacy Policy, available at https://itechcraft.com/datenschutz/ 

About the Role

We are seeking an experienced Senior Data Technology Consultant to join our growing Data & AI practice. This role bridges technology with business value, helping clients harness the power of data to drive transformative business results. You will play a pivotal role in crafting innovative data solutions, supporting sales efforts, and delivering exceptional value to our clients through strategic consulting and technical expertise.

Key Responsibilities

• Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to our offerings
• Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations
• Lead workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and our solutions
• Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insights
• Develop competitive proposals, pricing models, and value propositions to successfully close opportunities and secure engagements
• Stay updated on emerging trends in Data & Analytics, Cloud, and AI, providing strategic advice to clients and supporting innovation within the practice
• Contribute to the development of reusable solution frameworks, accelerators, and methodologies to drive operational efficiency
• Act as a mentor and knowledge-sharer across the team, supporting skill-building and best practice dissemination

Requirements

• Extensive experience in presales, solution architecture, or consulting, with a focus on Data/AI technologies and related business use cases
• Strong technical knowledge in legacy Data Warehouse platforms (Oracle, DB2, Informatica, SSIS, etc.)
• Good experience in cloud data technologies (AWS, Azure, GCP)
• Experience in modern data platforms (Databricks, Snowflake)
• Familiarity with data science techniques and proficiency in analysis of client needs to align with technical solutions
• Excellent communication and storytelling skills—able to translate complex technical concepts into clear, client-friendly narratives
• Proven track record in engagement with senior stakeholders and delivery of impactful presentations or pitches
• Experience in creation of detailed proposals, RFP responses, and pricing/engagement models for data-related services or projects
• Understanding of strategic consulting principles and the ability to develop future-state recommendations and roadmaps for client success
• Strong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environment
• Bachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience)
• Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences.

We build Arabic and English chat and voice assistants for UAE government services. They answer questions from official documents with citations, and they complete real transactions: traffic fines, licence renewals, payments, identity verification, all through SOAP and REST integrations with government systems.

Our work spans two worlds. Some projects run in the cloud with hosted models and managed GPUs. Others run fully on-premise inside air-gapped government networks: local models on our own GPU servers, no internet, no external APIs. You will work across both, and you will ship the same quality in each.

We are a small team and we deliver fast. A full system typically goes from requirements to production in under 30 days. That pace is possible because each engineer owns their work end to end: read the documents, build the feature, integrate the services, test the complete journey in chat and voice, package the release, and support it live.

What you will build

• Chat applications: multi-step citizen journeys with intent detection, tool calling, confirmations, and clean handling of records like vehicles, fines, and receipts. English and Arabic, including right-to-left layouts.
• Voice: streaming speech recognition and synthesis, barge-in, interruption handling, and smooth handoff from voice to visual UI for forms, payments, and OTP.
• RAG pipelines: ingestion of PDF, DOCX, scanned and bilingual documents; hybrid retrieval; reranking; citations that point to the exact source; evaluation so we know retrieval actually works.
• Agentic workflows: model reasoning combined with deterministic controls, so the assistant completes real services and never invents fees, eligibility rules, or records.
• Model serving: hosted model APIs and cloud GPUs on some projects; open models served locally with vLLM or similar on others, including quantization, latency, and throughput tuning on government hardware.
• Integrations: SOAP 1.1/1.2, WSDL, XML, and REST services; UAE PASS and OAuth identity flows; payment gateways with callbacks, receipts, idempotency, and audit logs.
• Deployment: containers, systemd, reverse proxies, TLS. For air-gapped sites, complete offline packages: Python wheels, model weights, container images, migrations, and rollback, with nothing silently downloaded at install time.

How we work

This part matters as much as the technical list. You will often be the only engineer on a delivery, working directly from client documents and existing code.

• You start from the documentation and the codebase, not from a task-by-task checklist.
• You search the docs, code, logs, WSDLs, and captured traffic before asking for help, and you escalate only when something genuinely blocks you: a missing credential, an external contract, a business decision.
• You fix root causes, not symptoms, and you check whether the same defect exists in the paths nobody reported.
• You test your own work across the whole journey before calling it done: chat, voice, retrieval, integrations, UI, deployment, and the scenarios your change might have broken. Done means verified, not "the model answered correctly once."
• You give short, honest progress updates with realistic estimates, especially when something slips.
• You stay accountable for the outcome the citizen sees, not just the component you wrote.

What we need from you

• 4+ years of production Python: async services, APIs, background workers, real error handling.
• LLM applications you actually shipped: RAG, tool calling, or agents doing useful work in production.
• Experience with hosted model APIs, and either experience running open models on GPUs or the clear ability to learn it fast.
• Solid Linux: containers, networking, TLS, and debugging a server that has no internet access.
• Integration skill: you can take a WSDL or API spec, get a working integration, and diagnose it when the live service disagrees with the documentation.
• The independent working style described above, for real, not as an interview answer.
• Based in the UAE or able to relocate quickly; the role is primarily on-site.

Strong pluses (we will teach what you are missing)

• Arabic, especially Gulf dialect, and English-Arabic code-switching
• Streaming speech systems: ASR, TTS, WebSockets, WebRTC
• GPU serving and quantization (vLLM, TensorRT-LLM, or similar)
• UAE PASS, UAE government services, or payment gateway integrations
• Air-gapped packaging: offline repositories, checksums, SBOMs
• SQL Server or comparable enterprise databases

AI Delivery Engineer (Agent Tooling & Code Generation) 🤖⚡

ZentixSoft is looking for an AI Delivery Engineer! 🚀
 

Format: Full-Time Outstaffing, long-term remote project. You will build and ship production-grade AI agent tooling and code-generation solutions, embedding AI agents directly into the delivery lifecycle.

💡 Why ZentixSoft? 
💸 Salary Review: A structured system of compensation reviews aligned with your engineering growth. 
⚖️ Work-Life Balance: Sustainable workflows with no senseless overtime, helping you keep your resource fully charged. 
🦾 Trust and Transparency: Zero micromanagement and no invasive time-trackers—we fully trust your professional autonomy. 
🎁 Gifts & Culture: Corporate gifts for holidays, birthdays, and a true team atmosphere where your voice always matters.
 

🧩 Responsibilities:

• AI Tooling & Automation: Design, build, and maintain AI agent tooling that automates engineering and business workflows.
• Code Generation Pipelines: Develop and refine developer copilots and code-generation workflows.
• Agent Integration & RAG: Integrate LLM APIs, agent-orchestration frameworks, RAG pipelines, and vector databases into production systems.
• Production Reliability: Monitor, evaluate, and enhance agent performance, safety guardrails, and reliability from prototype to production rollout.
• Documentation & Adoption: Document tooling, establish prompt engineering standards, and support internal teams in adopting AI agents.
   

🎓 Requirements:

• Engineering Background: 4+ years of commercial software engineering experience, with a recent focus on applied AI/LLM systems.
• Agent Frameworks: Hands-on experience building LLM-based agents or agent-orchestration frameworks (LangChain, LangGraph, AutoGen, or custom pipelines).
• Code-Gen & Copilots: Proven experience with code-generation tooling and AI-assisted development workflows.
• Core Tech Stack: Strong Python skills (TypeScript/JavaScript is a plus) for agent tooling and integration.
• LLM & Vector Ecosystem: Experience working with LLM APIs (OpenAI, Anthropic, etc.), RAG architecture, vector stores, prompt engineering, and guardrails.
• Production Shipping: Demonstrated ability to take AI concepts and prototypes to production-grade deployment.
   

➕ Nice to Have:

• Experience deploying agentic frameworks in enterprise settings.
• Familiarity with MLOps / LLMOps practices.
• Contributions to open-source AI tooling.
   

📍 Project Details:

⏳ Duration: Long-term (Full-time).

📍 Location: Fully Remote.

We are looking for a strong Middle Backend Engineer to help us build AI-powered products and workflows. This role is ideal for someone with solid Node.js / TypeScript experience who is already exploring AI in practice and wants to go deeper into RAG, voice agents, and multi-agent systems.

What matters most is a strong backend foundation, the ability to build reliable production systems, and a genuine interest in how LLM-based applications work and in using AI to speed up delivery.

What you’ll do

• Design and build backend services for AI-powered product features
• Work with LLM APIs, prompts, AI SDKs, and agent workflows
• Help shape systems involving retrieval, grounding, tool use, and orchestration
• Collaborate on products that include Node.js backend 
• Improve reliability, latency, observability, and overall production readiness of AI features

• Explore and implement capabilities around RAG, voice experiences, and multi-agent systems

   

What we’re looking for

• Strong commercial experience with Node.js / TypeScript, 2+ years of experience
• Experience building and maintaining complex backend systems in production
• Solid understanding of architecture, APIs, async flows, integrations, and system reliability
• Some hands-on exposure to LLM applications: prompt design, AI APIs, agent flows, or internal AI tooling
• Ability to learn quickly in a fast-moving technical area
• Strong engineering judgment and product mindset

• A degree in Computer Science, Mathematics, or a related field is a plus, but not required

   

Nice to have

• Experience with LangChain, LangGraph, Vercel AI SDK, or similar frameworks
• Familiarity with RAG concepts such as chunking, embeddings, retrieval, reranking, and hallucination reduction
• Experience with voice agents or real-time AI experiences
• Experience with React

• Familiarity with Python

   

Why this role

• You’ll work on real AI product problems, not toy demos
• You’ll have room to grow into RAG and agentic systems
• We’re open to hiring a strong engineer with the right mindset, even if some of the AI-specific depth is still developing

AI Delivery Engineer  —  Agent Tooling & Code Generation

Builds and ships production-grade AI agent tooling and code-generation solutions, working closely with engineering and product teams to embed AI agents into the delivery lifecycle — from prototyping through reliable, monitored production rollout.

Key Responsibilities:

• Design, build, and maintain AI agent tooling that automates engineering and business workflows
• Develop and refine code-generation pipelines and developer copilots
• Integrate LLM APIs and agent-orchestration frameworks into production systems
• Build and maintain RAG pipelines, vector stores, and prompt-engineering workflows
• Identify high-value automation opportunities together with engineering and product teams
• Monitor, evaluate, and improve agent performance, reliability, and safety in production
• Document tooling and support internal teams adopting AI agents

Requirements:

• 4+ years of software engineering experience, with recent focus on applied AI/LLM systems
• Hands-on experience building LLM-based agents or agent-orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, or custom pipelines)
• Experience with code-generation tooling, developer copilots, or AI-assisted development workflows
• Strong Python skills (TypeScript/JS a plus) for building agent tooling and integrations
• Experience with LLM APIs (OpenAI, Anthropic, etc.), RAG pipelines, and vector databases
• Proven ability to take AI prototypes from concept to reliable, production-grade delivery
• Understanding of prompt engineering, evaluation, and guardrails for LLM-based systems

Nice to Have:

• Experience deploying agentic frameworks in enterprise settings
• Familiarity with MLOps/LLMOps practices
• Contributions to open-source AI tooling

Who we are:

We are a Ukrainian multiproduct company that creates database development and management tools, connectivity solutions, productivity tools, and data services for more than 500.000 clients from 120 countries.

Since 1997, we have been streamlining data workflows for professionals and teams with our intuitive and efficient software products.

We're committed to enhancing the experience of our customers across the globe by minimizing data-related tasks and enabling them to focus on more inspiring goals.

Among our clients you can find such legends as Microsoft Corporation, Oracle America, IBM, Intel, and much more companies that deserved their place in Fortune-100 and Fortune-500.

Whether it's global companies or individuals, we provide a customer-centric approach, delivering high-quality solutions and exceptional support.

Driven by passion, we play a substantial role in shaping the future of data management. 
 
Product that needs your engagement

Skyvia is a versatile no-code SaaS cloud platform designed for data integration, automation, backup, management, and connectivity. It offers support for over 200+ connectors, including popular cloud applications like CRMs, marketing tools, support systems, and management solutions, as well as databases and data warehouses.

Your future team of professionals

You’ll become part of a growing, cross-functional team that is building AI-driven capabilities into the core of our platform. You’ll work closely with engineers, product managers, and designers who are passionate about delivering innovation and tangible value to users

 
The impact you will make:

• Deeply research and analyze AI-driven features implemented by competitors to understand the underlying architecture and approaches.
• Propose multiple implementation options for new AI features, clearly outlining trade-offs, technical implications, and cost efficiency.
• Build standalone proof-of-concepts (PoCs) to validate functionality and feasibility before full-scale development.
• Collaborate closely with the product team to ensure PoCs are aligned with user needs and product goals, maximizing their value.
• Document architectural decisions, implementation plans, and evaluation criteria to ensure transparency and traceability.
• Define or contribute to post-launch evaluation processes, helping to measure the actual impact of features and gather actionable feedback.
• Maintain continuous feedback loops between ideation, implementation, and iteration to ensure long-term value delivery. 

Skills we are looking for: 

• 3+ years of experience in AI/ML engineering or data science.
• Bachelor’s or Master’s degree in Computer Science, Engineering,  or a related field.
• Hands-on experience with LLMs such as OpenAI GPT, LLaMA, or similar.
• Knowledge of agentic techniques, prompt engineering, and fine-tuning language models.
• Familiarity with LangChain or equivalent AI frameworks.
• Experience working with vector databases (FAISS, Qdrant, etc.).
• Proficiency in Python and SQL.
• Understanding of how to work with structured and unstructured data.
• English — Intermediate.

Soft Skills:

• Strong analytical and problem-solving mindset.
• Clear written and verbal communication.
• Ownership, autonomy, and result-driven mindset.
• Adaptability and teamwork.
• Attention to detail and critical thinking.
• Curiosity and willingness to experiment.

Additional skills we would appreciate:

• Familiarity with MCP, ETL, data warehousing, and data extraction (e.g., from web/PDF)
• Understanding of Data Warehousing and ETL

Benefits you get

• Maintain your work-life balance

Manage your own working hours with our flexible schedule

19 days of annual vacation granted on a pro-rata basis

No overtimes required

• Hybrid type of cooperation

Whether you prefer to work remotely in the comfort of your home office or from one of our 4 offices, you can still take part in increasing the world`s awareness about quality Ukrainian products from any part of the world

• Stay healthy

Medical insurance from one of the top insurance companies in Ukraine with a wide range of included services, as well as special programs for relatives; and special options for those who live abroad.

15 working days of sick leave per year — because your health is a priority.

• Grow with us

In-house English courses — increase your proficiency through our online courses and speaking clubs with a native speaker

Online learning activities — workshops, lectures, and webinars to enhance your leadership, management, and self-awareness skills

Experience exchange — we are proud of our team of professionals who gladly share their deep expertise in all kinds of fields with the rest of the team

Promotions, rotations, and transitions — when you believe your skills could benefit a different role or team.

• Stand with Ukraine!

We have an active pro-Ukrainian position, and that means we help our army, our servicemen, and their families not only through constant donations and volunteering, but also through our military leave policy, special health insurance options, and financial help

We are a perfect match if you share our values

We are professionals in our field.

We know how to turn up our professionalism to the maximum, because we are experts who enjoy solving complex tasks.

We know how to focus on the product, think big, and at the same time delve deep into the details.

We create a calm and friendly atmosphere within the company.

We value the freedom of open and transparent communications.

Radical honesty is embedded in the foundation of our culture.

We are open to new things and constantly develop and practice regular knowledge sharing, which helps us evolve continuously.

Most importantly, the company creates an environment where we can fulfill our potential upon a solid foundation.

Our Hiring Process

• Recruitment Interview
• Technical Interview
• Offer Call

We are looking for an 

Requirements:
• Strong experience in AI/ML Engineering
• Hands-on experience with AI solutions in production
• Experience with Microsoft Azure
• Azure AI experience is highly preferred
• Strong Python and AI/ML development skills
• Experience with LLMs, Generative AI and AI integrations
• Understanding of scalable AI solutions and cloud architectures
• English — B2+

Duration: 1.5 months

About ByChat FinOps

ByChat FinOps is a production-ready B2B AI platform that helps organizations understand, analyze, and optimize cloud infrastructure costs across AWS.

Our platform combines cloud billing data with Generative AI, enabling users to ask natural language questions such as:

• Why did our cloud costs increase this month?
• Which services generate the highest expenses?
• Will we exceed our budget next quarter?
• Where can we reduce infrastructure costs?
   

Behind the scenes, intelligent LLM Agents work with cloud APIs, read-only SQL queries, billing datasets, forecasting models, anomaly detection algorithms, and FinOps analytics to deliver accurate, explainable business insights.

ByChat FinOps is an actively growing production product where AI reliability, security, scalability, and measurable business value are our highest priorities.
 

About the Role

We are looking for a Senior / Lead ML Consultant to support our engineering team on a part-time basis and provide expert guidance on the architecture, development, evaluation, and optimization of our AI/ML capabilities.

This is primarily an advisory and technical leadership role rather than a full-time hands-on engineering position.

You will work closely with our AI/ML engineers and technical team, review existing approaches and processes, identify potential risks and inefficiencies, and provide practical recommendations for improving the quality, reliability, and efficiency of our AI systems.

We expect you to act as a senior technical advisor and sparring partner for the team, helping us validate technical decisions and ensure that our ML/LLM practices meet production-grade standards.
 

What You'll Do

Your responsibilities will include:

• Review the architecture and implementation of our AI/ML and LLM-based solutions.
• Provide regular technical feedback to AI/ML engineers and help validate key engineering decisions.
• Review existing ML/LLM development processes and recommend improvements.
• Evaluate the effectiveness, reliability, and scalability of current AI workflows.
• Advise the team on the design of LLM Agents, sub-agents, tool calling, structured outputs, and agentic workflows.
• Review approaches to prompt engineering, context management, guardrails, validation, retries, and hallucination mitigation.
• Assess and improve LLM evaluation methodologies, automated testing, golden datasets, and quality metrics.
• Advise on AI observability, tracing, monitoring, and production quality control.
• Review Text-to-SQL approaches and help ensure safe and reliable interaction with financial datasets.
• Provide guidance on anomaly detection, forecasting, and other ML components used within the platform.
• Identify performance bottlenecks and opportunities to optimize LLM latency, token usage, infrastructure usage, and operational cost.
• Help the team evaluate new AI/ML technologies, frameworks, models, and architectural approaches before introducing them into production.
• Participate in technical discussions and architecture reviews for complex AI-related features.
• Mentor engineers and help strengthen the team's ML/LLM engineering practices.
• Help establish practical engineering standards and best practices for building production-grade AI systems.
   

What We Expect

Must Have

• Strong senior-level commercial experience in Machine Learning / AI Engineering, ideally including technical leadership or consulting responsibilities.
• Proven experience designing and reviewing production AI/ML systems.
• Strong practical experience with modern LLM applications and Agentic AI systems.
• Deep understanding of:
  • LLM Agents and agentic workflows
  • Prompt Engineering
  • Function / Tool Calling
  • Structured Outputs
  • Context management
  • Hallucination mitigation
  • Guardrails and validation
  • Retry and fallback strategies
• Strong understanding of ML/LLM evaluation methodologies and how to measure AI system quality in production.
• Experience with AI observability, tracing, testing, and monitoring.
• Strong Python and SQL knowledge with the ability to review implementation and architecture decisions.
• Understanding of statistics, anomaly detection, forecasting, and data-driven system evaluation.
• Experience identifying technical risks, architectural weaknesses, and performance bottlenecks.
• Ability to translate complex technical findings into clear, practical recommendations for an engineering team.
• Strong communication and mentoring skills.
• English sufficient for technical discussions, documentation, and regular communication with the team.
   

Nice to Have

• Previous experience as a Lead ML Engineer, ML Architect, AI Architect, Staff/Principal ML Engineer, or ML Consultant.
• Experience with LangChain, LangGraph, or other Agent frameworks.
• Experience with AWS Bedrock, Claude, or other managed LLM platforms.
• Experience with FinOps, cloud billing, or cloud cost optimization.
• Knowledge of:
  • AWS CUR
  • AWS Cost Explorer
• Experience with Langfuse, LangSmith, RAGAS, or similar AI observability and evaluation platforms.
• Experience designing evaluation pipelines and golden datasets for LLM applications.
• Experience with forecasting and time-series analysis.
• Experience processing large financial or billing datasets.
• Understanding of multi-tenant architectures and secure AI tool execution.
• Experience optimizing LLM latency, token usage, and operational costs.
   

Technology Stack

• Python 3.12
• FastAPI
• LangChain
• LangGraph
• AWS Bedrock
• PostgreSQL
• SQL
• Langfuse
• RAGAS
• Docker
• Next.js / TypeScript
   

Engagement Format

• Part-time consulting engagement
• Flexible involvement based on project and team needs
• Regular technical reviews and consultations with the AI/ML team
• Architecture and solution reviews for key AI/ML initiatives
• Focus on technical guidance, quality assurance, process improvement, and mentoring rather than day-to-day feature implementation
   

Why Join Us?

• Influence the technical direction of a real production AI product without committing to a full-time role.
• Work on challenging problems at the intersection of Generative AI, Agentic AI, Cloud, and FinOps.
• Help shape the architecture and engineering practices behind production-grade AI systems.
• Work with a team that values measurable AI quality, reliability, security, and business impact.
• Apply your senior-level expertise where it has the highest impact: technical decisions, architecture, evaluation, optimization, and team development.
• Stay close to modern AI technologies while working in a flexible consulting format.

🔹Who we are!

At Levi9, we are passionate about what we do. We love our work and together in a team, we are smarter and stronger. We are looking for skilled team players who make change happen. Are you one of these players?

🔹About the project

You will join a dynamic, cross-functional AI team building AI prototypes, from classic ML to advanced LLM applications such as Text-to-SQL and complex RAG systems. Our goal is to engage our customers with advanced AI solutions.

🔹Responsibilities

• Design and deploy predictive ML models (e.g., decision trees, random forests, gradient boosting) for analytics and feature engineering.
• Develop recommendation systems using collaborative and content-based filtering techniques.
• Build and enhance RAG systems, including embedding pipelines, managing vector databases, and integrating LLMs.
• Implement text-to-SQL capabilities, allowing users to query relational databases naturally using LangChain or similar technologies.
• Work alongside data engineers to ensure robust data pipelines and high-quality datasets for training and inference.
• Collaborate with Product Owners and UX Designers to align AI features with user needs and business goals.
• Continuously research, test, and apply cutting-edge algorithms and technologies to boost model performance and scalability.
• Monitor and improve production models, ensuring reliability, performance, and compliance with ethical standards.
   

🔹Requirements

• Experience: 4+ years in AI/ML, specifically building and deploying production-level ML models.
• Classic ML: Solid skills with decision trees, random forests, and gradient boosting methods (scikit-learn, XGBoost).
• Recommender Systems: Proven experience in collaborative and content-based recommendation algorithms.
• RAG & LLM Development: Hands-on expertise with retrieval-augmented generation systems, vector databases (Pinecone, Weaviate), and frameworks like LangChain or LlamaIndex.
• Text-to-SQL: Experience developing natural-language-to-SQL solutions using frameworks like LangChain.
• Programming & Data: Advanced Python proficiency, strong SQL skills, and familiarity with Pandas and NumPy.
• Cloud & MLOps: Knowledge of deploying models on AWS, Azure, or GCP, and familiarity with CI/CD and MLOps tools (MLflow, Kubeflow).
• Communication: Comfortable in Agile teams with excellent English communication skills.

🔹Will be a plus

• Experience with Docker and Kubernetes.
• Familiarity with advanced embedding techniques and optimizing similarity searches.
• Background in deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of ethical AI practices and data privacy standards.

🔹 Our customer's stack
Core — Python 3.13, LangGraph and LangChain for agent orchestration, AWS Bedrock for inference, retrieval, and runtime (AgentCore, Knowledge Bases, Guardrails), Pydantic for schema enforcement, CloudFormation for infrastructure.
Quality — pytest across unit, integration, and e2e tiers with a coverage gate, ruff, mypy and pyright, promptfoo for prompt and output evaluation. We hold agent code to the same bar as any other production system.

🔹9 reasons to join us:

1. Today we're working with the technology of tomorrow.
2. We don't wait for a change. We are the change.
3. We're experts in creating experts (Levi9 academy, Lead9 program for leaders).
4. No micromanagement. We are free birds with a clear understanding of what high performance is!
5. Learning in Levi9 never stops (unlimited Udemy for business, meetups, English courses, Professional trainings).
6. Here you can train your body and mind.
7. We've gathered the best locations - comfortable, cozy and pet-friendly offices in Kyiv (5 minutes from Olimpiyska subway station) and Lviv (5 minutes from the Opera Theatre) with regular offline internal events
8. We have master's degree in work-life balance.
9. We are actively supporting Ukraine with constant donations and volunteering
    

🔹Simple steps to get this job

Click the APPLY NOW button and leave your contacts!

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

This is a hyper-scale fintech platform trusted by over 40 million users worldwide, offering access to multi-asset trading - including stocks, indices, currencies, and digital assets.

The product operates as a regulated, data-intensive financial ecosystem, processing massive volumes of transactions and real-time customer interactions daily. It’s well-funded, profitable, and known for pushing innovation in AI, automation, and data governance across its operations. Advertising presence is strong (especially in the UK), but behind the scenes is a serious engineering culture solving hard, real-world problems at scale.

About the Role:

We are looking for an Applied AI Engineer (Squad Lead) to join a fast-paced, AI-first environment where AI is already a core part of how the company operates. This is not a role where you’ll be adding an AI feature to an existing product or experimenting with isolated prototypes. You’ll take real business challenges, work directly with stakeholders to understand what needs to change, and turn those problems into production-grade AI agents and applications — end to end, from idea and POC to deployment and continuous improvement.

This is a deeply hands-on role with significant autonomy and ownership. You’ll work with modern GenAI and agentic technologies, use AI-native development workflows daily, and see the impact of your solutions quickly. As the squad grows, you’ll also guide other engineers while remaining hands-on.

Key Responsibilities:

• Design, build, and deploy AI-powered agents and applications from concept through production.
• Develop and maintain AI pipelines for data ingestion, embeddings, retrieval, and LLM orchestration.
• Write high-quality backend and frontend code to embed AI into user-facing tools and internal platforms.
• Build APIs and integrations with internal systems (CRM, databases, third-party services) for seamless automation and data flow.
• Work with structured, unstructured, and vectorized data to support intelligent workflows and decision-making.
• Continuously monitor, evaluate, and iterate to improve system performance, reliability, and cost efficiency.
• Design and implement scalable, secure, observable, cloud-based solutions.
• Own production systems, including debugging, enhancements, and ongoing optimization.
• Collaborate closely with product and business stakeholders to translate requirements into high-impact solutions.

Required Competence and Skills:

• 5+ years of software engineering experience (backend or full-stack).
• Proven daily use of AI-native development workflows (e.g., Cursor, Claude Code) for production systems.
• Hands-on experience building production AI agents, including RAG, multi-agent orchestration, tool-calling, structured outputs/validation, memory, and workflow management.
• Experience with agent orchestration and evaluation frameworks (LangChain, LangGraph, LangSmith, Semantic Kernel or equivalent).
• Track record of deploying LLM-powered systems in production.
• Strong backend and modern frontend development skills for complex workflows.
• Experience with cloud services (Azure, AWS, or GCP) and designing scalable architectures.
• Familiarity with vector databases and embedding pipelines.
• Deep understanding of system design, scalability, observability, and security best practices.
• Experience leading small development teams or owning a technical domain.
• Excellent communication, stakeholder management, and problem-solving skills.
• Fluent written and verbal English.

Nice to Have:

• Experience building AI systems in regulated or compliance-driven environments.
• Background working with internal teams and platforms (e.g., customer service, retention, operations, compliance).
• Strong understanding of business process automation and operational intelligence.
• Familiarity with event-driven architectures and distributed systems.
• Experience implementing AI evaluation frameworks and automated testing for LLM systems.

We are currently seeking a skilled and driven Senior AI/ML Engineer to join our R&D team.

We believe that you have:

• In-depth knowledge of Machine Learning (ML) and Deep Learning (DL) principles
• A minimum of 3 years of experience working as a Software/ML Engineer
• Strong proficiency in Python programming and ML related libraries and engines
• Experience with AI Agents
• Proven experience in prompt engineering, Large Language Models (LLM)
• LLM Fine-tuning: Experience in fine-tuning pre-trained language models for specific tasks or domains
• LLM Frameworks and Tools: Langchain / LlamaIndex or other + familiarity with other relevant frameworks such as Transformers, GPT-Index, or FAISS
• Experience with one or more machine learning libraries such as TensorFlow, Keras, PyTorch
• Ability to extract meaningful business insights from data and identify the stories behind the patterns
• Willingness to work in an R&D team with shifting priorities and actively engage in PoC initiatives.

• Intermediate or higher level of English proficiency

   

Cool to have:

• Experience with Computer Vision
• Expirience with LLMOps
• DevOps & MLOps: CI/CD pipelines, Docker, Kubernetes
• Experience with SQL, NoSQL and Vector databases

• Experience with NLP, NLU, Semantic Search

   

Responsibilities:

• Collaborate closely with the web development team to design, develop, and deploy machine learning models
• Develop new machine learning models or enhance existing ones to meet project requirements

• Monitor and maintain machine learning models in production, ensuring their optimal performance and stability

   

We offer:

• Flexible schedule
• Horizontal management and communication directly with project stakeholders
• 20 days of paid vacation
• Paid sick-leaves
• Annual activities budget — we endorse your wish to self-improvement
• Remote work

SupportYourApp is an international Intelligent Support-as-a-Service company that has been providing business process outsourcing services to IT companies around the globe for the past 15 years. We have 1500+ people in our international community.

We operate globally, supporting clients in 60 languages and partnering with industry leaders like MasterCard, Calm, and MacPaw. With international hubs and coworking spaces around the world, we develop innovative products like Quidget and continuously work to improve the customer experience.

About the role:

We are looking for an AI Solutions Specialist to join our team and lead the design and implementation of AI-powered solutions for customer support and business operations.

In this role, you will translate business and operational requirements into scalable technical solutions, design AI architectures, evaluate technologies and integrations, and guide solutions from discovery through implementation.

You will work closely with clients, internal teams, and technical stakeholders to identify the right AI approach for each use case and ensure that solutions are reliable, scalable, and aligned with business goals.

What you will do:

• Design end-to-end AI solutions based on client business and technical requirements;
• Define solution architecture, integrations, data flows, and implementation approach;
• Design and implement AI-powered solutions, including conversational AI, chatbots, agent assist, and automation;
• Work with LLMs, RAG, prompt engineering, AI agents, and knowledge retrieval systems;
• Lead technical discovery and solution design sessions with clients and internal teams;
• Conduct demos of proposed AI solutions and explain their functionality, capabilities, and business value;
• Troubleshoot technical issues and drive solutions through to resolution.

What you need to succeed in this role:

• Fluency in English (C1+ / Advanced+);
• Practical experience taking an AI support solution from implementation/configuration to actual use by customers or support teams;
• Experience implementing AI-powered chatbots and voicebots specifically for customer support or customer service operations;
• Hands-on experience with AI and automation platforms (for example, Zendesk AI Agents, n8n, Voiceflow, Botpress, Cognigy, or similar tools);
• Understanding of LLMs, Generative AI, RAG, prompt engineering, and AI agents;
• Basic understanding of APIs, integrations, databases, and system architecture;
• Ability to translate business requirements into scalable technical solutions and communicate technical concepts to both technical and non-technical stakeholders.

Will be an advantage:

• Hands-on experience with helpdesk platforms (for example, Zendesk, Freshdesk, and Intercom), including their automation and AI features;
• Experience with AI evaluation, monitoring, and guardrails;
• Experience working directly with clients during technical discovery and solution design;
• Experience leading implementation projects.

Benefits and Perks:

• Providing services during business hours;
• Opportunity to cooperate fully remotely;
• Inclusive international environment;
• Compensation in USD;
• Rewards for referring friends;
• Balance between project workload and personal time, but also – internal health policy;
• Responsive leadership interested in your growth and long-lasting cooperation;
• Greenhouse conditions for self-development;
• A culture built on trust, with no time-tracking requirements.

*The items listed in this section may vary depending on the terms of your engagement. Certain benefits and conditions typically apply to employees; independent contractors may not be eligible for all of these. The specific terms, including compensation, benefits, and work conditions, will be clearly defined in your agreement if selected.

Are you passionate about connecting systems and driving intelligent automation? Do you thrive in fast-paced environments where you can analyze workflows, implement AI solutions, and collaborate with teams to deliver scalable, high-impact results?

Grab the chance to join us and send your CV in English, pointing out your outstanding skills!

Know someone perfect for the role? Refer them and get rewarded! 

We adhere to the principles of equal treatment of candidates and prohibit discrimination on any grounds protected by law.

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