Jobs ML / AI

Backend Software Engineer (Python, AI)
 

Requirements:
- 6+ years of experience in backend design and development of production-grade applications.
- Strong experience with Python
- Solid experience with databases, preferably SQL
- Experience working with large-scale systems
- Experience with AI orchestration frameworks such as LangChain or LlamaIndex, or experience integrating third-party AI APIs such as OpenAI or Anthropic.
- Knowledge of networking infrastructure.
- Cybersecurity experience - a strong advantage.
- Ability to learn quickly and adapt to new technologies.
- Strong teamwork and collaboration skills.
 

Responsibilities:
- Take full ownership of features, from product design through deployment, including end-to-end feature architecture.
- Plan, design, and develop systems with complex performance and scalability requirements.
- Design, maintain, and contribute to the company’s code infrastructure.
- Design, build, and maintain robust, scalable server-side architecture.
- Integrate with Large Language Models (LLMs) and vector

B2B, remote, US Eastern Time clients, 2 calls per week with the team.

About the Role

We are looking for a Senior Forward Deployed Engineer who combines strong hands-on engineering, enterprise infrastructure expertise, and executive presence.

You will work directly with US-based mid-market and enterprise clients, understand complex business problems, design the technical solution, build and deploy it, integrate it into existing enterprise environments, and remain the trusted technical point of contact.

This is not a ticket-based engineering role. You will own the full journey:

Business Problem → Architecture → Build → Integration → Deployment → Client Outcome
 

What You'll Do

• Own client projects end-to-end with minimal handholding
• Turn ambiguous business problems into technical solutions
• Design and build production AI agents, applications, automations, integrations, and data pipelines
• Work with complex enterprise infrastructure, ERP systems, data warehouses, APIs, and cloud environments
• Make architecture and infrastructure decisions independently
• Use AI coding tools to build and ship quickly
• Work directly with client IT teams and senior stakeholders
• Lead client meetings and clearly explain technical decisions, progress, risks, and next steps
   

What We're Looking For

Strong Engineering & Architecture

• Approximately 7–12+ years of software engineering experience; flexible for exceptional candidates
• Strong hands-on development experience with TypeScript/JavaScript and Python
• Experience with technologies such as Next.js, PostgreSQL, Supabase, and APIs
• Ability to independently design system architecture and ship production software
• Former CTOs, Tech Leads, architects, founders, and consultants are welcome if they are still hands-on
   

Enterprise Infrastructure

Strong enterprise infrastructure experience is a key requirement.

You should have experience with:

• AWS, Azure and/or GCP
• ERP systems and enterprise integrations
• Data warehouses and data pipelines
• Microsoft/enterprise environments
• Authentication, security, and APIs
• Complex or legacy enterprise systems

You should be able to confidently discuss architecture and infrastructure with a client's IT team. This was explicitly highlighted by the hiring manager as increasingly important.
 

AI-Native Engineering

You should already use tools such as Claude Code, Codex, Cursor, or similar agentic coding tools as part of your normal development workflow.

Production experience with several of the following is expected:

LLM APIs · AI Agents · RAG · Vector Databases · MCP · Agent Frameworks · AI Automations

We care especially about how you work with AI—context, documentation, agents/sub-agents, code review, testing, and QA.

Executive Presence

This is a highly client-facing position.
 

You must have:

• Excellent spoken and written English
• Strong confidence and executive presence
• Experience communicating with senior client stakeholders
• Ability to explain complex technical topics in business language
• Confidence leading meetings with executives, operations teams, and enterprise IT
• Ability to become a trusted technical advisor rather than relying on someone else to manage the client relationship

The client specifically wants engineers who can independently represent the technical work in senior stakeholder meetings.
 

You're a Strong Fit If

You are a hands-on senior engineer who thinks like an architect, operates like an owner, and communicates like a consultant.

You don't wait for detailed specifications. You can understand the business problem, decide what should be built, build it, integrate it into a complex enterprise environment, and confidently present the result to the client.

Розглядаємо як фултайм (голова + руки), так і парттайм, де руки вам дадуть і від вас тільки голова.
__________

Хелоу, люба спільното \0/

Ми продовжуємо нарощувати команду американського Survey SaaS, що аналізує поведінку юзерів під час digital опитувань. По суті, це платформа, де бізнес може засетапити своє опитування та отримати advanced behavioural analytics від нашої моделі на підставі того, як юзер водив мишою, відповідав на різні питання, тупив та чухався.

Вам сподобається, якщо:
- в вас ідеальний інгліш. Це найважливіший фактор. Треба багато діскутувати на складні теми. Якщо вам здається, що в вас не супер сильний інгліш – го не гаяти часу.
- в вас достатньо терпіння для щоденної роботи із гіперактивним фаундером, в якого багато ідей, іноді протилежних.
- ви вмієте поєднувати грацію науки та експеріменти на колінці (напр.: взяти наукову роботу про кореляцію відповідей із часом на роздуми та придумати як превірити це за нишими даними не за мільйон доларів та часу).

По суті, нам потрібен Scientific Lead, який буду допомагати фаундеру народжувати проект, покриваючи наукову та ML частину самостійно, або за допомогою нашого ML Engineer.

На цьому я дозволю перемкнутись на англійську, бо далі конкретніше.

What you'll do

• Act as the scientific and ML lead next to the founder, turning a stream of ideas (sometimes conflicting ones) into testable hypotheses and priorities
• Design lean experiments: take a research paper (e.g. how thinking time correlates with answer quality) and find a cheap, fast way to test it on our data
• Set tasks for our ML Engineer and review the work, or build it yourself
• Own model quality: evaluation methodology, calibration, segment-level analysis, precision/recall tradeoffs
• Keep work reproducible and audit-ready (experiment tracking, clean notebooks, documented results)
   

What you need

• Deep learning on sequence/time-series data (PyTorch, CNNs built from scratch)
• Tabular ML with gradient boosting (LightGBM / XGBoost)
• Rigorous evaluation: imbalanced classification, threshold tuning, AUC-ROC, calibration, label quality
• Solid experimental design and the ability to turn research into practice
• Experiment tracking (MLflow, W&B or similar)
• Excellent spoken and written English
• The patience and structure to work day to day with a fast-moving, idea-heavy founder
   

Nice to have: behavioral/clickstream analytics, fraud/anomaly detection, survey methodology/psychometric.
 

Stack: Python, PyTorch, LightGBM, MLflow, HDF5, PostgreSQL.
 

Not an LLM/GenAI role: this is classical ML and deep learning on structured behavioral data.

The Team

• Playing Founder
• Project Manager
• ML Engineer
• 2x Fullstack Devs
• Anti-Fraud Automation QA
• DevOps

For fulltime players we offer:

• 15 paid day-offs per year.
• 10 US/UA holidays.
• Flexible schedule and fully remote work from anywhere with reliable overlap to CET.
• Senior team members.
• Minimal bureaucracy, high authonomy and trust, fast decisions.

Our client is looking for a Conversational AI Specialist.

Role Overview:We are looking for a Conversational AI Specialist to train and improve our AI agent, maintain its Knowledge Base, monitor conversation quality, and ensure responses remain accurate and up to date. You will also coordinate with our technical vendor to resolve issues and support testing and monitoring of AI updates.Key Responsibilities:

• Train and continuously improve the AI agent's responses through structured content and configuration;
• Maintain and update Knowledge Base content to keep the AI agent's answers accurate and current;
• Monitor live chat conversations to identify inaccurate or unclear AI responses and flag/fix them;
• Update AI configurations when promotions, bonuses, or policies change;
• Coordinate with our technical vendor to report and track issues, ensuring fixes are tested before going live;
• Support monitoring after updates to confirm the AI agent is working correctly for users.

Required Skills & Experience:

• To be fluent in Polish (native or near-native) and English, both written and spoken;
• Experience with AI chatbot or virtual assistant platforms (e.g., Google Dialogflow, or similar conversational AI tools) is preferred;
• Strong attention to detail and a structured, analytical mindset for identifying and resolving inconsistencies in AI responses;
• Comfortable working with basic structured data formats (e.g., reading simple JSON-like data) — full training will be provided;
• Experience using project management or ticketing tools (e.g., Jira, Trello, Asana, or similar) is a plus;
• Strong written communication skills, with the ability to document issues clearly and coordinate with technical teams.

Will be a plus:

• Prior experience in iGaming, customer support, or live chat operations is a plus;
• Prior experience in content writing, knowledge base management, or FAQ documentation is a plus;
• Curiosity about AI/chatbot technology and willingness to learn new tools.

The company guarantees you the following benefits:

• A positive workplace atmosphere that creates a culture of collaboration and support, making it a place you'll love working in;
• Competitive compensation and regular career development reviews;
• Flexible working hours and remote working options, you'll enjoy the freedom that the company provides;
• A generous vacation and sick leave policy, allowing you to take time off and enjoy a work-life balance;
• Financial assistance for professional development, helping you stay ahead of the curve and love your career path;
• Educational Allowances that give you the opportunity to expand your knowledge and experience;
• You'll have a monthly allowance for personal activities, giving you the opportunity to pursue your interests and hobbies outside of work;
• A comprehensive health insurance plan, depending on your current location;
• Referral program with financial rewards for bringing top talent to the company;
• Engaging in team-building activities and corporate parties.

Interview process:

• HR Interview with the Recruiter;
• A 1-hour technical inetrview;
• A 1-hour final interview with the team;
• Final decision.

If you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!

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

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

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!

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

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field.
• 7+ years of experience in data science or machine learning roles, ideally with exposure to healthcare projects.
• Strong knowledge of ML frameworks such as scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM.
• Proficiency in Python for data science and related libraries (NumPy, pandas, matplotlib, seaborn, etc.).
• Experience working with large datasets and data processing frameworks (e.g., Spark, Dask, SQL).
• Understanding of MLOps concepts and tools (e.g., MLflow, Kubeflow, Vertex AI, Azure ML).
• Familiarity with cloud environments (Azure, AWS, or GCP) for training and deploying models.
• Experience with model interpretability, fairness, and explainability techniques.
• Strong communication and visualization skills for storytelling with data.
• English proficiency at Upper-Intermediate level or higher.

Preferred Qualifications (Nice to Have)

• Experience working with medical data (EHR, imaging, wearables, clinical trials, etc.).
• Familiarity with healthcare regulations related to data and AI (e.g., HIPAA, GDPR, FDA AI/ML guidelines).
• Knowledge of FHIR, HL7, or other healthcare interoperability standards.
• Practical experience with deep learning models (e.g., CNNs for imaging, transformers for NLP).
• Involvement in presales, proposal writing, or technical advisory work.

Job responsibilities

• Lead the design and development of AI/ML solutions across HealthTech and MedTech projects.
• Participate in technical presales by analyzing business cases and identifying opportunities for AI/ML application.
• Build and validate predictive models, classification systems, NLP workflows, and optimization algorithms.
• Collaborate with software engineers, cloud architects, and QA to integrate models into scalable production systems.
• Define and guide data acquisition, preprocessing, labeling, and augmentation strategies.
• Contribute to the development of GlobalLogic’s healthcare-focused AI accelerators and reusable components.
• Present technical solutions to clients, both business and technical audiences.
• Support model monitoring, drift detection, and retraining pipelines in deployed systems.
• Ensure adherence to privacy, security, and compliance standards for data and AI usage.
• Author clear documentation and contribute to knowledge sharing within the Architects Team.