Jobs ML / AI

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software, IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

Client - Europe's largest online car marketplace with 30M+ monthly users across 18 countries - is investing in a next-generation Agentic Software Delivery platform. The goal: run autonomous engineering tasks at scale, starting with SDLC automation and expanding beyond. Humans steer, agents deliver.
 

This is greenfield work. A dedicated team will build an end-to-end platform on top of AWS, integrating with existing internal systems and delivery processes. The north star is 10–20% of JIRA stories flowing through fully autonomous delivery within 12 months.

We are looking for a mature, self-driven Full-Stack Engineer with AI experience who thrives in ambiguity and takes ownership without waiting to be directed. This is not a request-response role - the ideal candidate proactively identifies what needs to be done, picks it up, and drives it forward.
Beyond core engineering, a meaningful part of the role (~10%) involves engaging with internal delivery teams: understanding how they work today, where friction exists in their SDLC, and feeding those insights back into what's being built. Think of it as technical discovery embedded in engineering - not BA in the traditional sense, but the same curiosity and listening skills applied in a developer-to-developer context.
As the platform rolls out, the engineer will also act as advocate and coach, helping other teams understand and adopt the new tooling.

Must-Have Requirements:

• 5-7+ years of hands-on software engineering experience in full-stack environments.
• AI Tooling: hands-on experience with AI-assisted development tooling - e.g. Claude Code, GitHub Copilot, Codex, Cursor, or similar agentic coding tools. Candidates must show genuine enthusiasm for - and practical experience with - using AI agents in their development workflow.
• Strong full-stack fundamentals; comfortable owning significant pieces end-to-end across frontend and backend.
• Proven ability to work in a proactive, self-directed manner - identifies gaps, proposes solutions, and executes without waiting for detailed instructions.
• Strong communication skills in English (B2–C1); able to engage confidently with peer engineers across teams.

Technical Stack & Experience

The platform is being built on AWS. The application stack is likely Java (backend) and React (frontend), driven by the selection of Camunda as the workflow engine, which runs natively on the JVM, with React used to build a custom UI layer on top of Camunda's interfaces.
That said, the final technology choices are not fully locked - the team should be prepared to adapt (e.g. to Python-based orchestration) if a different engine is selected.

Required:

• Solid Java and React experience (primary stack).
• Practical experience with AWS (core services: Lambda, ECS, etc.).

Strong Plus:

• Workflow Engines: Experience with workflow or orchestration engines (e.g. Camunda, N8N, or similar).
• Camunda experience specifically is a significant advantage given the current architectural direction.
• Familiarity with AWS AI services; AWS AI Practitioner certification (AIF-C01) is a notable bonus.
• Exposure to cloud-native orchestration patterns and multi-agent system design.

Mindset & Soft Skills:

• Energized by the idea of changing how software gets delivered - not just a participant, but a believer.
• Forward-thinking: stays current with the AI/agentic tooling landscape and brings new ideas to the team.
• Comfortable with ambiguity and evolving requirements; can make pragmatic decisions when the path isn't fully defined.
• Enjoys tight feedback loops - proactively seeks input from future users to shape what's being built.
• Acts as an advocate and coach when rolling out new tooling: explains, demonstrates, and helps others adopt.

Inception-1 is a product company that creates AI-driven B2C products designed to help people feel more connected and less alone. Our mission is to build meaningful digital experiences that blend technology with empathy — and to prove that technology can be both human and transformative.

We’re looking for a AI/ML Product Engineer who will be responsible for delivery of AI-driven features of our product (which are the core) 
We want you to be responsible for solving complex user’s problems – delivering ready-to-use features and final value to user
This is hands-on role which requires mix of business acumen, team management and sufficient technical expertise in implementing visual and conversational AI models
Ideal candidate would have either experience of own AI-first project development (no, chat-bot is not there…) or managing the team of ML engineers with clear business impact. 
Both cases imply experience with agentic coding and AI tools/ agent integration - eg. you built pipeline with comfy for your companion/ developed support agents’ chain on n8n/ built context prompting architecture for your assistant/ etc. 

Responsibilities:

• Own the end-to-end product lifecycle with a strong technical focus: discovery, specification, delivery, and iteration.
• Act as a bridge between business and engineering: translate product goals into clear technical requirements and vice versa.
• Define product requirements for AI-powered features (logic, constraints, data dependencies, edge cases).
• Work closely with engineers to shape system architecture, API contracts, data flows, and technical trade-offs.
• Design, run, and interpret A/B tests, including experiments impacting AI behavior, personalization, and monetization.
• Prioritize roadmap, features, and technical debt based on business impact, system limitations, and user value.
   

Requirements:

• 2+ years of experience as a Product Manager in multi-purpose AI-first products (eg. not only conversational module, but also voice/ image generation/ video/ OCR/ etc.).

OR

• Founder of AI-first startup with seed round closed.
• Strong technical background (engineering, computer science, or equivalent hands-on experience).
• Rapid prototyping or scripting skills to validate ideas quickly.
• Hands-on experience in implementation of AI features, at least – API services, self-developed multi-purpose agents, etc.
• Ability to reason about trade-offs between speed, quality, scalability, and technical complexity.
• Excellent ability to align technical and non-technical stakeholders.
   

Nice to Have:

• Experience with AIAI companionship, social discovery, chat, or personalization system.
• Ability to read code and participate in technical discussions (even without being the primary implementer).
• Experience with prompt-based systems, model evaluation, AI quality metrics.
   

What We Offer:

• Real ownership — full responsibility for a core AI product used by millions worldwide.
• Technical impact — shape how AI systems are designed, shipped, and scaled in production.
• Entrepreneurial ecosystem — part of Genesis, with access to resources, funding, and the option to launch your own startup.

You will work on scalable AI solutions, developer-focused tools, workflow automation, and AI capabilities that improve engineering productivity and deliver real business value for clients.

Responsibilities:

— Design, build, and deploy LLM-based applications and agentic AI systems from prototype to production.

— Develop production-grade AI agents, multi-agent systems, and tool-using workflows.

— Implement RAG pipelines over proprietary and third-party data sources.

— Build and maintain vector databases for AI data storage, retrieval, and search.

— Design and implement AI-powered capabilities such as code assistance, documentation generation, test automation, summarization, knowledge discovery, and code review support.

— Evaluate foundation models such as OpenAI, Anthropic, Gemini, Llama, and other commercial or open-weight models.

— Build LLM evaluation and benchmarking pipelines, including offline tests, online monitoring, human-in-the-loop review, and quality measurement.

— Improve model performance across relevance, faithfulness, latency, throughput, reliability, and cost.

— Design and maintain APIs, backend services, integrations, data flows, and custom tools for AI systems.

— Build custom tools, skills, integrations, and MCP-style server/client patterns for agentic workflows.

— Deploy, monitor, and optimize AI systems on cloud platforms, with a focus on scalability, reliability, observability, and cost efficiency.

Requirements: 

— 2+ years of hands-on experience building and deploying LLM-based applications, RAG systems, or AI agents in production.

— Strong Python experience, ideally 3+ years.

— Experience building backend systems, APIs, services, integrations, and data flows.

— Experience with object-oriented programming, backend architecture, design patterns, and production system design.

— Hands-on experience with LangChain, LangGraph, or similar AI orchestration frameworks.

— Strong experience designing agentic AI systems, tool-using agents, or multi-step AI workflows.

— Experience with RAG architecture, including chunking strategies, embeddings, vector databases, reranking, and retrieval evaluation.

— Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or similar.

— Experience with LLM evaluation and benchmarking, including designing evaluation pipelines and measuring model performance.

— Strong prompt design, prompt iteration, and prompt optimization skills.

— Experience working with major model providers or open-weight models such as OpenAI, Anthropic, Gemini, Llama, or similar.

— Cloud experience with AWS, GCP Vertex AI, Azure AI Foundry, or similar platforms.

— Familiarity with AI safety, responsible AI, guardrails, and output validation for production systems.

— Experience with CI/CD pipelines, deployment workflows, and engineering best practices.

We offer:

— remote time job, B2B contract
— 12 sick leaves and 18 paid vacation business days per year
— Comfortable work conditions (including MacBook Pro and Dell monitor on each workplace)
— Smart environment
— Flexible work schedule
— Competitive salary according to the qualifications

You will work on scalable AI solutions, developer-focused tools, workflow automation, and AI capabilities that improve engineering productivity and deliver real business value for clients.
 

Responsibilities:

— Design, build, and deploy LLM-based applications and agentic AI systems from prototype to production.

— Develop production-grade AI agents, multi-agent systems, and tool-using workflows.

— Implement RAG pipelines over proprietary and third-party data sources.

— Build and maintain vector databases for AI data storage, retrieval, and search.

— Design and implement AI-powered capabilities such as code assistance, documentation generation, test automation, summarization, knowledge discovery, and code review support.

— Evaluate foundation models such as OpenAI, Anthropic, Gemini, Llama, and other commercial or open-weight models.

— Build LLM evaluation and benchmarking pipelines, including offline tests, online monitoring, human-in-the-loop review, and quality measurement.

— Improve model performance across relevance, faithfulness, latency, throughput, reliability, and cost.

— Design and maintain APIs, backend services, integrations, data flows, and custom tools for AI systems.

— Build custom tools, skills, integrations, and MCP-style server/client patterns for agentic workflows.

— Deploy, monitor, and optimize AI systems on cloud platforms, with a focus on scalability, reliability, observability, and cost efficiency.

— Collaborate with solution architects, engineers, product stakeholders, and delivery teams to translate business problems into technical solutions.

— Participate in architecture discussions, code reviews, design reviews, and technical decision-making.

— Troubleshoot production issues, system bottlenecks, and AI performance problems.

— Document system designs, development processes, technical decisions, and best practices.

— Mentor other engineers and help improve engineering quality across the team.

— Stay up to date with the fast-moving AI, LLM, and agentic AI landscape.

Requirements

— 2+ years of hands-on experience building and deploying LLM-based applications, RAG systems, or AI agents in production.

— Strong software engineering fundamentals and ability to write clean, maintainable, production-ready code.

— Strong Python experience, ideally 3+ years.

— Experience building backend systems, APIs, services, integrations, and data flows.

— Experience with object-oriented programming, backend architecture, design patterns, and production system design.

— Hands-on experience with LangChain, LangGraph, or similar AI orchestration frameworks.

— Strong experience designing agentic AI systems, tool-using agents, or multi-step AI workflows.

— Experience with RAG architecture, including chunking strategies, embeddings, vector databases, reranking, and retrieval evaluation.

— Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or similar.

— Experience with LLM evaluation and benchmarking, including designing evaluation pipelines and measuring model performance.

— Strong prompt design, prompt iteration, and prompt optimization skills.

— Experience working with major model providers or open-weight models such as OpenAI, Anthropic, Gemini, Llama, or similar.

— Cloud experience with AWS, GCP Vertex AI, Azure AI Foundry, or similar platforms.

— Experience with production testing, observability, monitoring, performance optimization, and cost optimization.

— Solid understanding of algorithms, data structures, machine learning concepts, and data engineering fundamentals.

— Familiarity with AI safety, responsible AI, guardrails, and output validation for production systems.

— Experience with CI/CD pipelines, deployment workflows, and engineering best practices.

— Strong problem-solving, analytical, collaboration, and communication skills.

We offer:
— remote time job, B2B contract
— 12 sick leaves and 18 paid vacation business days per year
— Comfortable work conditions (including MacBook Pro)
— Smart environment
— Interesting projects from renowned clients
— Competitive salary according to the qualifications
 

Admiral Studios is a fast-growing Ukrainian IT outsourcing company, specializing in web development, mobile development, UI/UX, and SEO.

We embrace the latest and most advanced technologies: Node.js, React, Laravel, Shopify, Python, and WordPress.

We create quality projects for clients in the US, Europe, the UK, and Canada 🌍, especially Healthcare, Real Estate, and E-commerce projects.

Currently, our team consists of more than 60+ skilled experts 👨‍💻, and we are constantly growing.

Now, we're looking for a hands-on AI Transformation Manager who will take ownership of AI adoption across the company and directly impact how our teams work, deliver, and grow.

For a perfect match, we expect 🎯

• 1+ year of experience working with AI tools in a professional context
• Deep, confident command of at least one LLM - Claude is a strong advantage, as it's the core of our infrastructure
• Hands-on experience with no-code/low-code automation: Make, Zapier, n8n
• Basic understanding of APIs and prompt engineering
• Ability to analyze existing processes and design improved workflows (SOP-building experience is a plus)
• Strong hypothesis-driven mindset: spot inefficiency → propose AI solution → test → measure → scale
• Understanding of how Dev, Sales, and HR teams operate in an IT environment

• English level: B2+ (working with documentation, tools, and vendors)

   

Nice to Have 💎

• Technical background or experience in software development
• Experience with BI or productivity tools (Notion AI, Airtable, etc.)
• Track record of successfully implementing AI or automation initiatives
• Active follower of AI trends — you try new tools before anyone asks you to

Duties & Responsibilities 💼

• Auditing current internal processes and identifying opportunities for AI-driven improvement
• Introducing and implementing AI tools into day-to-day workflows across departments
• Working closely with the CTO and CEO on strategic AI initiatives:
  • researching and evaluating new tools and solutions
  • building and documenting implementation cases
  • transferring knowledge and best practices to teams
• Launching internal pilot projects, measuring results, and scaling what works
• Training and supporting team members in adopting new AI-powered workflows
• Staying on top of the AI landscape and proactively proposing improvements

Why Join Admiral Studios?

⭐️Growth-Oriented Environment – value efficiency, flexibility, and results

🤝Team Spirit – Regular corporate online & offline events to keep the team connected
📚Professional Development Support – we provide:

• A structured Performance Review system
• Access to an internal knowledge library
• Career growth opportunities with a clear development plan
• A budget for improving work processes and implementing new ideas

🧘Work-Life Balance – Enjoy a flexible work schedule and a fully remote work model
✅Paid Time Off – 20 vacation days + 10 sick leave days per year

Hiring steps: Screening — Tech Interview — СEО Interview — Job Offer 

If your experience and skills match our candidate scorecard, the recruiting team will contact you within 5 business days 💙

Admiral Studios is a fast-growing Ukrainian IT outsourcing company, specializing in web development, mobile development, UI/UX, and SEO.

We embrace the latest and most advanced technologies: Node.js, React, Laravel, Shopify, Python, and WordPress.

We create quality projects for clients in the US, Europe, the UK, and Canada 🌍, especially Healthcare, Real Estate, and E-commerce projects.

Currently, our team consists of more than 60+ skilled experts 👨‍💻, and we are constantly growing.

Now, we're looking for a hands-on AI Transformation Manager who will take ownership of AI adoption across the company and directly impact how our teams work, deliver, and grow.

For a perfect match, we expect 🎯

• 1+ year of experience working with AI tools in a professional context
• Deep, confident command of at least one LLM - Claude is a strong advantage, as it's the core of our infrastructure
• Hands-on experience with no-code/low-code automation: Make, Zapier, n8n
• Basic understanding of APIs and prompt engineering
• Ability to analyze existing processes and design improved workflows (SOP-building experience is a plus)
• Strong hypothesis-driven mindset: spot inefficiency → propose AI solution → test → measure → scale
• Understanding of how Dev, Sales, and HR teams operate in an IT environment

• English level: B2+ (working with documentation, tools, and vendors)

   

Nice to Have 💎

• Technical background or experience in software development
• Experience with BI or productivity tools (Notion AI, Airtable, etc.)
• Track record of successfully implementing AI or automation initiatives
• Active follower of AI trends — you try new tools before anyone asks you to

Duties & Responsibilities 💼

• Auditing current internal processes and identifying opportunities for AI-driven improvement
• Introducing and implementing AI tools into day-to-day workflows across departments
• Working closely with the CTO and CEO on strategic AI initiatives:
  • researching and evaluating new tools and solutions
  • building and documenting implementation cases
  • transferring knowledge and best practices to teams
• Launching internal pilot projects, measuring results, and scaling what works
• Training and supporting team members in adopting new AI-powered workflows
• Staying on top of the AI landscape and proactively proposing improvements

Why Join Admiral Studios?

⭐️Growth-Oriented Environment – value efficiency, flexibility, and results

🤝Team Spirit – Regular corporate online & offline events to keep the team connected
📚Professional Development Support – we provide:

• A structured Performance Review system
• Access to an internal knowledge library
• Career growth opportunities with a clear development plan
• A budget for improving work processes and implementing new ideas

🧘Work-Life Balance – Enjoy a flexible work schedule and a fully remote work model
✅Paid Time Off – 20 vacation days + 10 sick leave days per year

Hiring steps: Screening — Tech Interview — СEО Interview — Job Offer 

If your experience and skills match our candidate scorecard, the recruiting team will contact you within 5 business days 💙

Job Description

Requirements:
 

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
   
• 5+ years in software engineering, technical leadership, or developer experience roles, with recent hands-on exposure to GenAI-assisted development.
   
• Demonstrated track record of introducing new tools, practices, or methodologies across engineering teams and measuring adoption.
   
• Hands-on proficiency with AI coding assistants and agentic dev tools (e.g., Claude Code, GitHub Copilot, Cursor, Windsurf, Cline) and ability to evaluate them critically.
   
• Solid understanding of modern SDLC practices: code review, CI/CD, test automation, requirements management, and release engineering.
   
• Working knowledge of LLM fundamentals: prompting, context management, retrieval-augmented generation, evals, model selection, and cost/latency trade-offs.
   
• Familiarity with MCP, agent frameworks, and integrating AI tools with existing engineering systems (Jira, GitLab/GitHub, Confluence, ALM tools).
   
• Strong communication, facilitation, and storytelling skills — comfortable presenting to engineers, architects, delivery managers, and client executives.
   
• Ability to define adoption metrics (productivity, quality, cycle time) and run structured pilots that produce defensible results.
   
• English proficiency at Upper-Intermediate level or higher.

Preferred Qualifications (Nice to Have)
 

• Experience introducing AI tooling into a regulated SDLC (IEC 62304, ISO 13485, FDA design controls, GxP, or equivalent).
   
• Familiarity with healthcare-specific constraints on AI use: PHI handling, HIPAA, GDPR, FDA AI/ML guidance (including PCCP), and EU AI Act / MDR implications for development workflows.
   
• Prior involvement in presales, proposal writing, or client technical advisory.
   
• Experience standardizing prompts, skills, or reusable AI assets across multiple delivery teams.
   
• Background in developer advocacy, technical enablement, or internal evangelism programs.
   
• Awareness of test-generation, code-review, and documentation use cases that intersect with regulated traceability requirements.
   

Job Responsibilities

• Lead the introduction and scaling of AI-assisted SDLC practices across HealthTech and MedTech delivery teams.
   
• Identify, evaluate, and pilot AI tools (coding assistants, agentic systems, AI-driven QA, documentation, and requirements tools) and produce clear go/no-go recommendations.
   
• Define and standardize prompts, skills, playbooks, and reusable assets that teams can adopt without reinventing the wheel.
   
• Embed with project teams to coach engineers, architects, and QA on practical, day-to-day AI usage — moving from demos to durable workflow change.
   
• Establish adoption KPIs, run controlled pilots, collect evidence, and report measurable impact on productivity, quality, and time-to-delivery.
   
• Partner with delivery and engineering leadership to integrate AI tooling into existing processes (code review, test management, documentation, traceability) without breaking compliance posture.
   
• Work with InfoSec, Legal, and Compliance to ensure AI usage respects PHI/PII handling, IP, client data agreements, and regulated SDLC constraints.
   
• Support technical presales: shape AI-in-SDLC narratives, contribute to proposals, and present to client engineering and executive audiences.
   
• Run internal enablement: workshops, brown-bags, office hours, and accountability-driven adoption meetings.
   
• Contribute to GlobalLogic's healthcare-focused AI accelerators, internal knowledge bases, and the Architects Team's shared body of practice.
   
• Track the external landscape (model releases, tooling, regulatory signals) and translate it into actionable guidance for delivery teams.
   

Department/Project Description
 

Join GlobalLogic’s Architects Team within the Healthcare Business Unit, supporting clients across the EMEA region. This strategic role focuses on engaging new clients, solving real-world healthcare challenges, and launching data-driven AI/ML projects. You will work closely with clients and internal stakeholders to translate complex business needs into impactful data science solutions. If you’re passionate about applying data science in a meaningful domain and want to shape the future of healthcare, we’d love to hear from you.

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

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

This is your opportunity to:

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

Responsibilities: 

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

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

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

We’re Expanding and Looking for Talented Developers!

You’ll work directly with our technical founder (experienced developer with a strong AI interest), helping shape our AI direction from the ground up.

The main focus is prompt engineering, the ability to build pipelines for AI agents, and working with memory and external data.

Our team specializes in working with startups, starting from the earliest stages of their development. Each project we take on is a unique challenge, requiring innovative and effective solutions. That’s why we always stay at the cutting edge of technology.

We believe that productive work is only possible in a comfortable environment with excellent planning. The best solutions are built on well-thought-out architecture, quality code, and modern technologies.

If these priorities resonate with you, you’ll love being part of our team!

Requirements

• 1+ years of experience with LLM APIs (e.g., OpenAI, Hugging Face Inference API).
• Understanding of how pretrained models work (LLMs, image-to-text, TTS/STT).
• 1+ years of experience building simple pipelines in Python using libraries like Transformers, Diffusers, Gradio, LangChain, or similar.
• 1+ years of experience with visual AI tools (ComfyUI, Automatic1111, or similar).
• Understanding of REST APIs and integrating ML features into web services (via API requests).

• Ability to work with texts: translations, basic transformations (tokenization, embeddings, chunking, etc.).

   

Nice-to-Haves

• 1+ years of experience with or interest in RAG (Retrieval-Augmented Generation).
• Basic fine-tuning skills or familiarity with LoRA / DreamBooth.
• 1+ years of experience building simple chatbots or AI agents.
• Exposure to multimodal tasks (text → image / audio / video).
• Prompt engineering knowledge to control LLM behavior.

• 1+ years of experience preparing glossaries or structured files to support translation tasks.

   

Responsibilities

• Help build and maintain simple AI pipelines for use in our internal tools and client web services.
• Integrate LLM and multimodal models (image, video, audio) into production-ready features.
• You’ll work directly with our technical founder (experienced developer with a strong AI interest), helping shape our AI direction from the ground up.
• Collaborate with backend/frontend engineers to deliver AI-driven features. Prepare and use glossaries, structured data, and RAG files for translation and document understanding tasks.
• Build early versions of AI-powered chatbots, assistants, and user-facing agents.

• Use both Python and visual tools (e.g., ComfyUI) for building and debugging pipelines. Take initiative and learn new tools or techniques as needed — you’ll be our first AI specialist.

   

Additionally:

• DevOps support is available in the team to help with deployment and running models locally.

• Complex integrations or tuning tasks can be delegated internally if needed.

   

What We Offer

• Possibility to be a part of startups from around the world
• Supportive, understanding, and flexible management
• Paid vacations and sick leave
• A friendly and welcoming team

Leading US-based MSP provider is seeking an AI Engineering professional to join our DevOps team and help build an internal AI-powered platform. You’ll design and deploy intelligent chatbots and autonomous agents using Azure OpenAI and modern LLM frameworks.

COMPANY
Atlas Technica is a fast-growing US-based MSP working with hedge funds and investment firms. Founded in New York in 2016, the company has grown to 200+ engineers across 10+ countries (US, UK, UA, HK, SG).

The goal of this role is to design and deploy intelligent chatbots using Azure Bot Framework, OpenAI, and Cognitive Services. Build data pipelines and fine-tune NLP models with Azure ML. Integrate AI with enterprise systems via RESTful APIs, ensuring compliance with security and privacy standards. Stay current with LLM advancements and collaborate across teams.

 

Responsibilities

AI Agent & Chatbot Development
• Design, build, and deploy intelligent conversational agents using Azure Bot Framework, Azure OpenAI, and Cognitive Services.
• Develop prompt strategies and manage datasets to support context-aware, multi-turn dialogue and accurate responses.
• Conduct rapid prototyping to validate technical feasibility and demonstrate the business value of AI-driven solutions.

Data & Model Engineering
• Build and maintain robust data pipelines to support training and inference workflows.
• Configure, train, and fine-tune machine learning models using Azure Machine Learning, with a focus on NLP and LLMs.
• Evaluate and optimise AI system performance for accuracy, scalability, latency, and cost-efficiency.

System Integration & Architecture
• Architect and implement integration between AI and enterprise systems (e.g., ConnectWise Manage, Confluence, etc) using RESTful APIs.

Security, Compliance & Governance
• Ensure AI systems comply with data privacy regulations (e.g., GDPR) and enterprise-grade security standards.
• Implement access controls, data encryption, and audit logging for sensitive AI workflows.

Research & Innovation
• Stay current with evolving LLM technologies, frameworks and methodologies.
• Evaluate emerging tools and techniques to improve solution quality and delivery speed continuously.

Collaboration & Leadership
• Work closely with cross-functional teams to interpret business requirements and recommend LLM-driven solutions.
• Contribute to technical and architectural decisions, ensuring alignment with strategic goals.

Requirements:

• 4+ years of experience in ASP.NET software development (Core/WebAPI, C#, React/React.js), with a focus on AI engineering and Azure-based solutions.
• Experience building intelligent chatbots and autonomous agents (Agentic AI) that perform real actions, plan, reason, and act with minimal human input; familiar with multi-agent orchestration and agent memory.
• Advanced expertise in machine learning, deep learning, and NLP, including pipelines, model fine-tuning, embeddings, and transformer-based architectures.
• Strong understanding of large language models (LLMs), their limitations, and modern capabilities (e.g., GPT, Claude, Gemini), as well as practical experience with Retrieval-Augmented Generation (RAG) and optimising retrieval pipelines.
• Hands-on experience with Azure AI services (Azure Machine Learning, Cognitive Services, Bot Framework) and knowledge of MCP or similar protocols for secure, scalable integration between AI agents and enterprise systems.
• Familiarity with deploying, monitoring, and maintaining ML models in production environments.
• Ability to write clean, maintainable, and testable code following SOLID principles and Clean Architecture patterns.

Desirable Qualities:

• Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms.
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience with Azure Cosmos DB.
• AI-102
• Prior experience integrating AI agents with enterprise platforms like ConnectWise Manage, Confluence, SPO, etc.

What we offer:

• Direct long-term contract with a US-based company
• Full-time remote role
• B2B set-up via SP (ФОП in $USD)
• Competitive compensation
• Annual salary reviews and performance-based bonuses
• Company equipment provided for work
• Professional, collaborative environment with the ability to influence strategic decisions
• Opportunities for growth within a scaling global organization

Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We seek an experienced Senior AI Engineer to join our team. You will work hands-on with innovative startups' Data Science and R&D teams and be in charge of various projects. You will develop robust MLOps pipelines, create cutting-edge Generative AI solutions, implement the latest technologies, and ensure the customers’ success by overseeing the project from inception to completion.

📍 Work location - remote from Ukraine

If you are interested in this opportunity, please submit your CV in English.

Responsibilities

• Developing backend Generative AI solutions and POCs, utilizing RAG pipelines, agent-based systems, and LLM-powered services
• Taking existing ML or customer-provided code and adapting it for training, fine-tuning, and production deployment using PyTorch
• Developing and optimizing fine-tuning workflows, model evaluation, benchmarking, and inference optimization
• Provision of ML AWS resources and infrastructure primarily using managed and cloud-native services
• Developing ML-oriented CI/CD pipelines using GitHub Actions, Bitbucket, or similar tools
• Deploying Machine Learning models in production and ensuring they are observable and monitorable
• Collaborating with Solution Architects and DevOps teams on scalable and cost-efficient AI infrastructure
• Learning new skills and technologies quickly to stay up to date with rapidly evolving GenAI tools
• Using and writing Terraform libraries for infrastructure deployment
• Maintaining infrastructures and environments of all types, from dev to production
• Security monitoring and administration

Requirements

• Excellent customer-facing skills to understand and address client needs effectively
• Ability to design and implement cloud solutions and to build GenAI pipelines on AWS
• Experience with one or more large language model frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex
• Fluency in Python, a good understanding of Linux, and mandatory hands-on production experience with PyTorch
• Ability to understand tools used by data scientists and experience with building Generative AI applications beyond notebooks or demos
• Good understanding of supervised and unsupervised learning, and deep learning concepts
• Fluent written and verbal communication skills in English
• Ability to work hands-on, independently, and deliver under real project constraints
• Bachelor’s or Master’s degree in AI-related fields - an advantage
• Working knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc.) - an advantage
• Experience with Docker and Kubernetes - an advantage
• Experience with Azure or GCP (DevOps/MLOps) for ML or GenAI workloads - an advantage
• ML certification (AWS ML Specialty or similar) - an advantage

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our team.

Quantum Systems next-generation unmanned solutions across air, land, and sea. From advanced aerial drones to underwater and ground platforms, our systems combine cutting-edge hardware with AI-driven software for seamless control and real-time data insights. Trusted by defense, security, and public sector clients worldwide, we redefine mission versatility and performance.

Quantum-Systems is a strong supporter of Ukraine and has it’s local Ukrainian office since 2022.
 

The role is based in Kyiv, and we expect you to work full-time in the office.
 

What is your Day to Day Mission:

• Lead team of ML Engineers
• Design, develop, and optimize real-time object detection and tracking models for aerial video from UAVs (EO/IR cameras)
• Implement inference pipelines optimized for edge hardware (e.g., NVIDIA Jetson, Orin)
• Conduct model training, testing, benchmarking, and validation in real flight environments
• Integrate AI models into onboard systems
• Collaborate with other software and hardware teams to ensure robust end-to-end performance
• Research and apply state-of-the-art deep learning methods in computer vision

What you bring to the team:

• 8+ years of experience in AI/ML, with a strong focus on computer vision
• Strong Leadership experience
• Experience building ML infrastructure and training pipelines
• Proven experience in object detection/tracking using models like YOLO, SSD, or custom CNNs
• Proficiency in Python, C++, PyTorch or TensorFlow
• Experience with real-time video processing and optimization techniques (e.g., TensorRT, ONNX, pruning, quantization)
• Solid understanding of data annotation, augmentation, and training workflows
• Familiarity with embedded/edge AI deployments (e.g., Jetson Xavier, Orin)
• Experience working with aerial/surveillance imagery or geospatial data is a strong plus
• Bachelor’s or Master’s degree in Computer Science, Robotics, or related field

Nice to Have:

• Knowledge of GStreamer, OpenCV, or similar real-time streaming frameworks
• Familiarity with UAVs, drone flight control, or defense technologies
• Understanding of object re-identification or multi-target tracking

Why Quantum-Systems:

• We Stand with Ukraine!
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.
• We promise to be your runway for individual and professional growth.

The role is based in the Kyiv region, and we will expect you to work full-time in the office. We have a shuttle service from the nearest metro station.

What is your Day to Day Mission:

• Design, develop, and optimize real-time object detection and tracking models for aerial video from UAVs (EO/IR cameras)
• Implement inference pipelines optimized for edge hardware (e.g., NVIDIA Jetson, Orin)
• Conduct model training, testing, benchmarking, and validation in real flight environments
• Integrate AI models into onboard systems
• Collaborate with other software and hardware teams to ensure robust end-to-end performance
• Research and apply state-of-the-art deep learning methods in computer vision

What you bring to the team:

• 3+ years of experience in AI/ML, with a strong focus on computer vision
• Proven experience in object detection/tracking using models like YOLO, SSD, or custom CNNs
• Proficiency in Python, C++, PyTorch or TensorFlow
• Experience with real-time video processing and optimization techniques (e.g., TensorRT, ONNX, pruning, quantization)
• Solid understanding of data annotation, augmentation, and training workflows
• Familiarity with embedded/edge AI deployments (e.g., Jetson Xavier, Orin)
• Experience working with aerial/surveillance imagery or geospatial data is a strong plus

• Bachelor’s or Master’s degree in Computer Science, Robotics, or related field

   

 Nice to Have:

• Knowledge of GStreamer, OpenCV, or similar real-time streaming frameworks
• Familiarity with UAVs, drone flight control, or defense technologies

• Understanding of object re-identification or multi-target tracking

   

Why Quantum-Systems:

• We Stand with Ukraine
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.
• We promise to be your runway for individual and professional growth.

We’re building an intelligent AI agent that doesn’t just answer questions, but reasons, retrieves, understands context, and acts across documents, SQL data, and visual inputs.

If you're excited by rapid experimentation, real users, and pushing LLMs beyond chat - this role is for you.

     What You'll Do

• Design and implement an intelligent chatbot/agent capable of reasoning over documents, structured SQL data, and multimodal inputs
• Fine-tune or integrate LLMs (OpenAI, Ollama, Deepseek, etc.) for contextual Q&A
• Develop text analytics pipelines (sentiment analysis, classification, topic modeling)
• Design image processing systems for tagging, feature extraction
• Experiment rapidly with new ideas, validate hypotheses
• Support and work with Hadoop clusters for big data processing.
  
  What We're Looking For
• 2+ years of experience as ML/AI engineering or in a similar role
• Bachelor’s degree in Computer Science, or a related field
• Strong proficiency in Python, and solid experience with ML frameworks
• Deep understanding of NLP and CV fundamentals
• Hands-on experience with AI/ML projects deployed in production
• Experience integrating LLMs, retrieval pipelines in multi-step reasoning agents
• Practical experience in text/image processing
  
  Nice to Have
• Knowledge of OCR, captioning
• Experience with prompt engineering
• Experience in predictive modeling

About the project:

We are seeking a production-focused and highly analytical Senior AI/Backend Developer to join our team for a high-stakes healthcare startup. This role is responsible for architecting and deploying multi-layered voice AI agents that simulate natural, empathetic phone calls for elderly and Medicare patients. You will focus on solving the "uncanny valley" of voice AI, ensuring ultra-low latency so that interactions feel instant and human, rather than like a "thinking" chatbot. This position requires deep expertise in real-time voice technologies, the ability to troubleshoot complex data flows mid-call, and a commitment to maintaining total data integrity within a HIPAA-regulated environment.
 

Does this relate to you?

• You have extensive experience in Voice AI and Backend development, specifically deploying real-time systems to thousands of users.
• Mandatory proficiency in Python and Voice Orchestration tools like Pipecat and Twilio ConversationRelay.
• Deep knowledge of LangGraph for managing complex, multi-agent logic and mid-call hand-offs.
• Proficiency with tools like ClaudeCode, Cursor, or GitHub Copilot to accelerate development and solve complex architectural puzzles.
• Proven ability to optimize RAG pipelines and WebSocket flows to achieve "instant" response times essential for elderly users.
• Upper-Intermediate English or higher with the ability to overlap with US Central Time.

• Knowledge of BAA/HIPAA protocols is essential.

   

A new team member will be in charge of:

• Take full responsibility for the implementation and optimization of Pipecat and Twilio ConversationRelay to ensure natural, low-latency interactions.
• Design and manage multi-agent workflows using LangGraph while ensuring seamless transitions and context retention during mid-call agent hand-offs.
• Develop and own agent tool-call mechanisms with a strict focus on idempotency, retries, and safe failure modes for mission-critical health data.
• Maintain full accountability for data security and privacy protocols within GCP/AWS environments to ensure every deployment adheres to BAA standards.
• Proactively identify latency bottlenecks and initiate architectural improvements to keep the patient experience fluid and reliable.

 
Ready to try your hand? Send your CV without a doubt!