Jobs ML / AI

About the Role & Project

We’re looking for a Middle AI Engineer to help build practical AI solutions for real-world business needs.

In this role, you’ll work hands-on with LLMs and GenAI, collaborating with engineers, solution designers, and product teams. You’ll be involved in designing, prototyping, and deploying AI features, with room to grow into more advanced or client-facing responsibilities over time.

Location: Remote / Hybrid (Ukraine / EU), with occasional travel if needed

What You’ll Do

AI Development & Implementation

• Build and integrate AI / GenAI solutions into products
• Work with LLM APIs (OpenAI, Azure OpenAI, etc.)
• Develop and improve RAG pipelines and AI-powered features
• Create PoCs and MVPs to validate ideas

Systems & Integration

• Integrate APIs and third-party services
• Work with databases, including vector databases
• Troubleshoot and optimize existing solutions

Team Collaboration

• Work closely with engineers and solution designers
• Contribute to architecture discussions
• Participate in code reviews

AI-Enhanced Development

• Use tools like Copilot, Cursor, etc. to speed up development
• Apply prompt engineering techniques
• Validate and refine AI-generated outputs

What We Expect

Experience

• 3+ years in software development (Python or similar)
• ~1 year of hands-on experience with AI / LLMs
• Experience building and integrating APIs
• Experience working on real-world projects

Technical Skills

• Python (APIs, async, production-level code)
• LLM basics (prompting, APIs, understanding of RAG)
• REST APIs (GraphQL is a plus)
• SQL + basic knowledge of vector databases
• AWS or Azure (basic level)
• Docker (Kubernetes is a plus)

Nice to Have

• Experience with RAG or AI agents
• AI-related pet projects or open-source contributions
• Some exposure to client communication or presales

Soft Skills

• Clear communication of technical ideas
• Proactive and самостоятельный mindset
• Comfortable working with some ambiguity
• Willingness to learn and grow in AI

Languages

• English: Upper-Intermediate (B2+)
• Ukrainian: required

What We Offer

• Flexible working schedule
• Remote-friendly setup
• Stable employment
• Paid vacation and sick leave
• Growth opportunities within the project

We are looking for a AI Engineer to help us build and scale AI features in our e-commerce platform and develop LLM-based solutions in production.

What you will do:

• Design and develop RAG pipelines to work with internal data (product catalog, customer data, operational data)
• Build AI agents to automate business workflows (customer support, merchandising, order processing)
• Integrate LLMs (OpenAI, Anthropic, AWS Bedrock) into existing services and microservice-based architecture
• Work on fine-tuning / adapting models for domain-specific tasks
• Define and improve approaches to evaluation, prompt engineering, and response quality
• Optimize AI solutions for latency, cost, and performance
• Collaborate with product and engineering teams to deliver end-to-end AI features

What we are looking for:

• 6+ years of software engineering experience, with 1–2+ years of practical experience in AI/LLM (must have)
• Hands-on experience with LLM-based applications (RAG, agents, prompt engineering)
• Understanding of embeddings and semantic search principles
• Experience with vector databases (Qdrant, Weaviate, Pinecone, or similar)
• Strong Python skills for AI/ML-related tasks
• Solid understanding of microservices architecture and REST APIs
• Experience working with cloud platforms (preferably AWS)

• English level: B2 (must be able to communicate fluently during client interviews) and fluency in Ukrainian

   

Nice to have:

• Experience with AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen, etc.)
• Practical experience evaluating LLM systems
• Experience with AWS AI services (Bedrock, SageMaker, etc.)
• Experience optimizing AI systems in production
• Experience in the e-commerce domain

Why join Empeek?

• A high-impact role leading AI transformation within an established enterprise platform.
• A collaborative, experienced engineering team with a strong focus on modernization.
• Significant autonomy and influence over technical direction.
• Access to cutting-edge tools, models, and cloud infrastructure.
• Competitive compensation package (discussed during the interview process).
• Opportunities for professional development and continuous learning.

What we offer:

• Access to internal and external training, certification reimbursement;
• 18 working days of paid vacation, 10 compensated public holidays, and up to 10 paid sick days;
• Partial compensation for English classes + free speaking club;
• Up to $180/year for sports activities;
• A strong culture of knowledge sharing with senior experts you can really learn from;
• New equipment provision, and accounting support if needed;
• Competitive market-level salary with regular performance and salary reviews;
• Extra perks such as an insurance fund, seasonal gifts, celebrations, and additional team compensations;
• A psychologically safe and supportive environment;
• Active social responsibility and continuous support for the Armed Forces.

If you believe this role could be a great match for you, please send us your resume via the link — we’ll be happy to get in touch with you.

You’re also welcome to recommend colleagues or friends — we offer a referral bonus of 2000$🎁
 

We are looking for an Autonomous systems engineer with a background in computer vision, control theory and mathematical modelling. The ideal candidate will have a strong math background, experience with autonomous systems, modelling and control design. 

Required Qualifications: 

• 2 years of hands-on experience with classical computer vision
• Understanding of geometrical computer vision principles 
• System identification and control
• Sensor fusion/signal processing
• Proficiency in C++ and/or experience with Python
• Experience with Linux and single-board computers
• Experience with PID controllers tuning in embedded or autonomous systems
• Ability to quickly navigate through recent research and trends in computer vision and autonomous systems
• Relevant work experience or education in STEM field

Nice to Have:

• Experience with SLAM and/or Visual-Inertial Odometry (VIO)
• Matlab
• Experience with PX4, betaflight, Ardupilot 
• Familiarity with neural networks and common CV frameworks/libraries (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
• Experience with simulation tools (Gazebo, AirSim)
• SITL, HITL testing
• ROS2

We are looking for a Senior AI/ML Engineer to design, build, and scale AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready AI systems, including LLM-powered applications, RAG pipelines, and machine learning models, while collaborating closely with cross-functional teams. You will contribute to architectural decisions, ensure high-quality implementations, and help evolve AI capabilities within enterprise environments.

Key Responsibilities

• Design, develop, and enhance AI-driven solutions, including machine learning models, LLM-based applications, and NLP workflows for analytics, automation, and decision-making
• Build and optimize RAG pipelines, including embeddings, retrieval strategies, chunking approaches, and hybrid search techniques
• Develop AI solutions within Palantir Foundry, leveraging Ontology objects, pipelines, and workflows
• Apply LLMs and GenAI techniques (prompt engineering, fine-tuning, embeddings, retrieval-augmented generation) using Palantir AIP
• Own the end-to-end lifecycle of AI solutions: data preparation, model development, evaluation, deployment, and monitoring
• Collaborate with data engineers to ensure data quality, pipeline efficiency, and scalable data processing
• Integrate AI models into production workflows to deliver business-facing insights and automation capabilities
• Evaluate and improve model and system performance, including accuracy, latency, scalability, and cost-efficiency
• Contribute to architecture decisions, including selection of tools, frameworks, and design patterns for AI systems
• Implement and follow MLOps / LLMOps best practices, including versioning, evaluation frameworks, monitoring, and continuous improvement
• Ensure responsible AI practices, including data privacy, governance, and compliance considerations
• Collaborate with stakeholders to translate business needs into practical and scalable AI solutions
• Mentor junior engineers and contribute to knowledge sharing within the team

Requirements

• 4–5+ years of experience in AI/ML engineering, applied data science, or related fields
• Strong proficiency in Python and experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow)
• Hands-on experience with LLMs, NLP, or GenAI applications (prompt engineering, embeddings, text processing, summarization, etc.)
• Practical experience with RAG architectures, vector databases, and retrieval strategies
• Strong understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and deployment
• Experience building and deploying production-grade AI systems
• Familiarity with structured and unstructured data processing (tabular, time series, text, documents)
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
• Understanding of MLOps / LLMOps practices, including monitoring, evaluation, and iteration
• Experience working in enterprise data environments with cross-functional teams
• Ability to communicate AI concepts and results to technical and non-technical stakeholders
• Upper-Intermediate English or higher

Nice to Have

• Experience with Palantir Foundry (Ontology, Object Builders, Code Repositories, AIP)
• Experience in regulated industries (e.g., pharma, finance)
• Experience with distributed data processing (e.g., Spark)
• Exposure to multilingual or multimodal AI systems

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

We believe that you have:

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

• Intermediate or higher level of English proficiency

   

Cool to have:

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

• Experience with NLP, NLU, Semantic Search

   

Responsibilities:

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

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

   

We offer:

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

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.

We are looking for a Senior AI/ML Engineer to design, build, and scale AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready AI systems, including LLM-powered applications, RAG pipelines, and machine learning models, while collaborating closely with cross-functional teams. You will contribute to architectural decisions, ensure high-quality implementations, and help evolve AI capabilities within enterprise environments.
 

Responsibilities:

• Design, develop, and enhance AI-driven solutions, including machine learning models, LLM-based applications, and NLP workflows for analytics, automation, and decision-making
• Build and optimize RAG pipelines, including embeddings, retrieval strategies, chunking approaches, and hybrid search techniques
• Develop AI solutions within Palantir Foundry, leveraging Ontology objects, pipelines, and workflows
• Apply LLMs and GenAI techniques (prompt engineering, fine-tuning, embeddings, retrieval-augmented generation) using Palantir AIP
• Own the end-to-end lifecycle of AI solutions: data preparation, model development, evaluation, deployment, and monitoring
• Collaborate with data engineers to ensure data quality, pipeline efficiency, and scalable data processing
• Integrate AI models into production workflows to deliver business-facing insights and automation capabilities
• Evaluate and improve model and system performance, including accuracy, latency, scalability, and cost-efficiency
• Contribute to architecture decisions, including selection of tools, frameworks, and design patterns for AI systems
• Implement and follow MLOps / LLMOps best practices, including versioning, evaluation frameworks, monitoring, and continuous improvement
• Ensure responsible AI practices, including data privacy, governance, and compliance considerations
• Collaborate with stakeholders to translate business needs into practical and scalable AI solutions
• Mentor junior engineers and contribute to knowledge sharing within the team
   

Requirements:

• 4–5+ years of experience in AI/ML engineering, applied data science, or related fields
• Strong proficiency in Python and experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow)
• Hands-on experience with LLMs, NLP, or GenAI applications (prompt engineering, embeddings, text processing, summarization, etc.)
• Practical experience with RAG architectures, vector databases, and retrieval strategies
• Strong understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and deployment
• Experience building and deploying production-grade AI systems
• Familiarity with structured and unstructured data processing (tabular, time series, text, documents)
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
• Understanding of MLOps / LLMOps practices, including monitoring, evaluation, and iteration
• Experience working in enterprise data environments with cross-functional teams
• Ability to communicate AI concepts and results to technical and non-technical stakeholders
• Upper-Intermediate English or higher
   

Nice to Have:

• Experience with Palantir Foundry (Ontology, Object Builders, Code Repositories, AIP)
• Experience in regulated industries (e.g., pharma, finance)
• Experience with distributed data processing (e.g., Spark)
• Exposure to multilingual or multimodal AI systems

We offer*:

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

*not applicable for freelancers

As an AI Engineer, you will be at the forefront of our innovation engine, architecting the next generation of intelligent agentic systems. This isn't just about prompt engineering; it’s about building scalable, production-ready Generative AI ecosystems that solve high-stakes business challenges.

Key Responsibilities

• Architect & Deploy: Design end-to-end GenAI solutions, specialized AI agents, and high-performance RAG pipelines.
• Lead Innovation: Rapidly build and validate Proof of Concepts (PoCs) to showcase the "art of the possible" to stakeholders.
• Consult & Collaborate: Partner with cross-functional teams and interface directly with clients to translate complex needs into tailored AI strategies.
• Research & Evaluate: Stay ahead of the curve by benchmarking emerging models, agentic frameworks, and dev kits.

The Profile

• The Experience: 3+ years of industry-hardened experience in Applied AI or Machine Learning.
• The Tech Stack: Expert-level command of agentic frameworks (LangGraph, Agno, Google ADK) and Vector Databases.
• Cloud Fluency: Deep familiarity with at least one major Hyperscaler (GCP, AWS, or Azure).
• Bonus Points: Proficiency with the Google Cloud AI stack (Vertex AI, Gemini), MLOps (Docker/K8s), and rigorous evaluation frameworks like RAGAs or LangSmith.
• AI agent building: know-how
   

OneAcademy is looking for a Video Designer with strong motion design skills and hands-on experience using AI tools for commercial video production. We are building a fast-scaling education brand focused on high-performance digital content, and we need someone who can combine creativity with speed and ownership.

What You’ll Do

• Create short-form video content (Reels, YouTube Shorts, TikTok) using AI-assisted production tools
• Develop static creatives for social media and marketing campaigns
• Optimize video production workflows to improve speed, efficiency, and scalability
• Adapt content to different platforms and formats
• Work within tight deadlines while maintaining quality standards

Hard Skills & Experience

• 2+ years of strong, hands-on experience with Adobe After Effects
• Basic proficiency in Adobe Photoshop
• At least 6 months of practical experience using AI tools for commercial video production (e.g., Kling, VEO, Sora, or similar)
• Experience with prompt engineering and cost optimization of AI tools (tokens / credits management)
• Solid understanding of composition, color correction, and storytelling fundamentals

Soft Skills We Value

• High level of independence and self-management
• Strong sense of responsibility and ownership over tasks and results
• Proactive mindset
• Fast learner, comfortable adapting to new tools and workflows
• Ability to operate in a performance-driven environment

What We’re Looking For

This role is ideal for someone who is not just an executor, but a creator who understands both aesthetics and performance metrics. You should be comfortable experimenting with AI tools, iterating quickly, and continuously improving production efficiency.

If you thrive in a fast-moving, digital-first environment and want to shape the visual language of a growing education brand — we’d love to hear from you.

Why OneAcademy

• Direct ownership over growth of a core educational product
• Opportunity to build a scalable, data-driven education business
• Global product with long-term LTV focus
• High level of autonomy and fast execution
  
  What We Offer
• Ownership of acquisition strategy 
• Work with large budgets and high-scale performance campaigns
• Direct influence on unit economics and growth metrics
• Opportunity to build and shape your own team
• Remote work with flexible schedule
• Work in a fast-growing global prop trading firm
• Performance bonuses and incentives

GetDeal AI is an expert-driven, AI-specialized marketplace for acquiring and selling high-growth AI companies. Our due-diligence pipeline delivers in 30 minutes what traditional processes take 3 weeks to produce. The platform is 95% complete and launching this quarter.

Every internal function is already partly run by subagents: department agents, buyer outreach, deal research, ops. This role takes that work over and makes it better every day.

What you'll own in your first 6 months:

- Ship scoped features inside the GetDeal platform monorepo at a weekly cadence (asset-card UI, onboarding flow, buyer portal improvements), each with tests written, code review passed, and merged without reverts

- Own several internal agentic pipelines end-to-end (HR drafting, buyer outreach, deal research, ops), each with a subagent definition, tool scope, guardrail file, and JSONL audit log

- Stand up new subagents continuously as the work surfaces them — deal-pipeline analyst, seller success drafter, QA helpers, and anything that removes manual founder work

- Reduce founder time spent on manual ops by a measurable amount every week, tracked in a before/after log in the repo

- Own the internal AI-tooling handbook — a living doc capturing Claude Code workflows, prompt patterns, subagent definitions, and MCP wiring notes

What you bring:

- Shipped at least one real project end-to-end using modern AI tools (Claude Code, Cursor, Copilot, custom LLM agents, MCP servers)

- Comfortable in a TypeScript / Node monorepo — reads it, edits it, writes tests for it

- Reads a specification and follows it precisely — guardrails, caps, error paths, and edge cases get implemented as written

- Available full-time; ready for startup cadence

- Evidence of fast learning under ambiguity

Nice to have:

- Prior exposure to M&A, private investment, or confidential-deal workflows

- A public artifact of your AI-tool use (prompt library, custom subagent set, blog post, OSS tool)

- Experience instrumenting an agentic system (structured logs, caps and guardrails, idempotency, rate limits)

How we work: Remote-first, core team in Spain and Portugal. EU working hours — core overlap 10:00–15:00 CET. Communication is direct and technically precise. We hire for evidence of outcomes, not credentials.

To apply: Email alex@getdeal.ai with a link to something you have shipped where AI tools did non-trivial work and short Loom video intro about yourself and what do you expect from your job

About ChatRevenue.ai 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid). 

We are building an agentic sales automation for post-CRM era. The AI-native product combines structured and unstructured data, LLM workflows, and agentic automation to help sales people to focus properly, work more efficiently and automate repetitive sales processes. 

The product is already being tested by early customers. We are growing the core engineering team and looking for people who want to work on real product systems with direct impact on architecture, quality, and speed of delivery. 

About the role 

We are looking for a Senior Generative AI Engineer with 5+ years of commercial Python experience and hands-on experience building production GenAI / RAG systems. 

This is a hands-on engineering role focused on: 

• Python backend  
• LLMs and RAG  
• AI Copilot / assistant workflows  

We are looking for someone who can take a problem, propose a practical solution, and move it to production. 

What you will do 

• Design, build, deploy, and maintain production GenAI / RAG pipelines  
• Integrate LLMs and agentic assistants into product workflows  
• Improve latency, reliability, scalability, and cost-efficiency of AI systems  
• Evaluate and implement new GenAI, multi-agent, and orchestration frameworks  
• Contribute to architecture and technical decisions across the platform  

What we are looking for 

• 5+ years of commercial Python experience 
• Strong backend experience with FastAPI, APIs, webhooks, Docker, Kubernetes, Git, and CI/CD 
• Commercial experience with LLMs in production 
• Strong hands-on experience with RAG, retrieval workflows, embeddings, and vector search 
• Experience with LangChain, LangGraph, LangSmith, or similar frameworks 
• Good knowledge of SQL, Pandas, ETL, data cleaning, and ingestion pipelines 
• English: B2 or higher 
• High ownership, independence, and product mindset 

Nice to have 

• Multi-agent LLM systems 
• Knowledge graphs, graph databases, or graph-based retrieval 
• Kafka, Azure Event Hub, or other event-driven systems 
• Azure cloud infrastructure 
• Production ML / NLP systems 
• Evaluation, tracing, observability, and optimization of AI pipelines 
• Graph algorithms or tools like NetworkX 

What we offer 

• Remote-first setup 
• Flexible schedule aligned with European time zones 
• A core engineering role in an AI-native product 
• Direct influence on technical decisions and architecture 
• Real ownership and visible product impact 

If you have strong Python backend fundamentals and real production GenAI / RAG experience, we’d love to talk. 

We are looking for AI-driven Software Engineer to join our long-term project.

Responsibilities:

• Design practical, scalable software architectures
• Translate business requirements into clear technical solutions
• Define data models, APIs, integrations, and system structures
• Contribute across the full lifecycle — from idea to production

You’ll be part of a small, fast-moving team where ownership and initiative are highly valued.
 

Who you are

• You take ownership and enjoy responsibility
• You communicate clearly with both technical and non-technical stakeholders
• You’re comfortable in a fast-paced, evolving environment

You also:

• Think in systems and trade-offs, not rigid rules
• Take a hands-on, proactive approach
• Balance structure with pragmatism
• Stay curious and keep up with new technologies
• See AI as a practical tool, not just a trend
   

Requirements:

You don’t need to master everything, but you’re familiar with or interested in:

• APIs and system integrations
• Modern architectures (React, React Native, TypeScript, Next.js, Supabase)
• AI-assisted development tools (e.g., Cursor, Claude Code)
• Automation tools (e.g., n8n)
• No-/low-code platforms (e.g., Bubble.io — a plus)
  
  Location Belgium must have!
   

👉 What matters most: understanding core principles, not just tools.

About the Role

We are looking for a highly experienced Staff Engineer to build and own a next-generation production intelligence platform at the intersection of AI, infrastructure, and data systems.

This role goes beyond traditional backend or data engineering — it focuses on designing a knowledge graph layer that enables AI systems to understand and reason about complex production environments in real time.

You will be one of the first engineers in this domain area, with full ownership of architecture and key technical decisions.

What You Will Do

• Design and own a production knowledge graph architecture (schema, entities, relationships, temporal modeling)
• Build data ingestion pipelines from multiple sources (CI/CD, infrastructure, cloud systems, streaming platforms)
• Define strategies for handling high-volume, high-cardinality production data
• Develop a semantic layer enabling intelligent querying and reasoning over the system
• Ensure data consistency, quality, and long-term coherence
• Work closely with engineering leadership on architecture and system design
• Validate solutions against real-world production environments

Requirements

• 10+ years of experience in backend or systems engineering
• Strong hands-on experience with graph databases (Neo4j preferred)
• Proven experience building scalable data ingestion pipelines
• Deep understanding of distributed systems and cloud-native infrastructure
• Experience with Kubernetes, CI/CD, and modern DevOps practices
• Strong data modeling skills (entities, relationships, versioning, schema design)
• Ability to make architectural decisions independently in a fast-paced environment

Nice to Have

• Experience with infrastructure graph tools (e.g., Cartography or similar)
• Experience working with AI/ML systems or LLM-based architectures
• Familiarity with event-driven systems (Kafka, streaming)
• Background in knowledge graphs or semantic systems

Tech Stack

Neo4j, Python, Kafka, Kubernetes, PostgreSQL, Graph-based tooling, cloud infrastructure

What Makes This Role Unique

This is not a typical backend or data role. You will be building the core knowledge layer that enables AI systems to reason about production environments.

You will:

• Own the architecture from day one
• Make high-impact technical decisions
• Work on a product that sits at the intersection of AI + infrastructure + data

Hiring Process

• 2–3 interview stages
• Technical + system design focus

We're partnered with an AI company that cleans up and enriches messy product data (PDFs, spreadsheets, images, CAD files) turning it into clean, marketplace-ready catalogs for brands and retailers selling on Shopify, Amazon, Walmart, and large PIM/ERP systems. We're helping the company bring on a few more engineers – one of the positions is this Data Scientist one.

Stack: Python / FastAPI on the backend, React / Next.js on the frontend, LLMs throughout. 

Engagement: Full-time, fully remote.

=====

You'll own the ML that powers the enrichment, classification, and validation pipelines — the core of the product. Real data, large scale, noisy inputs, a lot of LLM work alongside classical ML.

What you'll do

• Build classification, extraction, and enrichment models over product data (text, images, metadata)
• Design and ship LLM pipelines – RAG, extraction, validation – in production, not just notebooks
• Run experiments and build evaluation frameworks you actually trust
• Work with engineering to deploy models, not hand them off

We're looking for

• 4-7+ years in data science / ML
• Strong Python (pandas, sklearn, PyTorch, TensorFlow, etc)
• Real experience with LLMs, NLP, CV
• Solid instincts on model evaluation and data quality
• You've worked on messy real-world data and know how to handle it
• You're comfortable working with a significant overlap with the US Pacific Time
• Your conversational English is strong (you will be speaking with your teammates daily)

Nice to have

• Product / catalog / e-commerce data experience
• Experience with vector DBs, embeddings, RAG in production

Location: EU
Workload: Full-time
Duration: Long-term

About the role

We are looking for a Senior AI Solution Architect with strong experience in the Microsoft ecosystem and solid expertise in designing enterprise-grade AI solutions. In this role, you will lead architecture decisions for modern AI-driven applications, including solutions based on RAG patterns, Azure AI services, and generative AI technologies.

You will work in a consulting-style environment, helping shape scalable, secure, and production-ready architectures for clients across the EU.

Key responsibilities

• Design end-to-end architecture for AI and cloud-native solutions on Azure
• Lead implementation of solutions leveraging RAG, Azure OpenAI, and related AI services
• Define scalable application architecture using Azure PaaS services
• Integrate AI capabilities such as search, OCR, vision, and content enrichment into business solutions
• Collaborate with engineering and DevOps teams to ensure reliable delivery pipelines
• Support architectural governance, technical decision-making, and best practices
• Translate business requirements into robust technical designs

Required skills and experience

• 8+ years of overall experience with the Microsoft application stack
• Proven background as an Azure Architect in a consulting environment
• Hands-on experience with AI solution implementation
• Strong understanding of prompt engineering techniques
• Experience implementing Retrieval-Augmented Generation (RAG) solutions
• Strong knowledge of:
  • Architecture design
  • Azure PaaS: Container Apps, Functions, Web Apps, Storage
  • Azure Cognitive Services: Azure AI Search, OCR, Vision, etc.
  • Azure AI Foundry or Azure OpenAI
  • Microsoft Fabric, Azure Data Factory, or Databricks
  • Azure DevOps Pipelines or equivalent CI/CD tooling
  • .NET 6+ or Python
• Native-level English

Nice to have

• Experience with Azure OpenAI or other generative AI technologies such as GPT
• Microsoft certifications such as:
  • AZ-900
  • AZ-204
  • AZ-300
  • AZ-400
  • DP-900
  • AI-102

What we offer

• Long-term full-time engagement
• Opportunity to work on modern enterprise AI initiatives
• International environment with EU-based delivery
• High-impact architectural role in a growing AI space

Remote · Contract · EU time zone preferred · Capacity: propose what the scope needs.

We pay for outcomes, not hours. You own the pipeline; we own the product.

Contract engagement, scope-driven. Propose your own structure — trial period, fixed-price milestones, retainer, or a hybrid. Whatever fits how you actually work.
 

We're building the definitive structured quality, safety & value dataset for the global supplement market. Two customers: consumers (React Native app) and AI systems (structured API). The data pipeline IS the product. 
 

What you deliver:

A pipeline that generalizes across our module types: boolean classification, multi-class classification, characteristic extraction, entity extraction, entity linking/grouping, and structured attribute profiling.
Core deliverables:

• Golden-record schema and workflow that works for any of the above, co-built with our regulatory SME
• Eval harness in CI — accuracy reported on every commit, per module
• Versioned prompt/rule system with rollback
• Measured, reproducible accuracy numbers on held-out sets, per module, against written gates
• A workflow our SME can operate without a developer in the loop

Success = numbers we trust, on sets we trust, with a pipeline that won't silently regress — and a framework that scales to every remaining module without rework.
 

Stack: Python, DSPy, vLLM, PaddleOCR, RT-DETR, open-weight VLMs and LLMs. Laravel/Filament backend (you consume it, our backend team maintains it).
 

Required:

• 3+ years shipping production ML/data pipelines — not research
• Prompt optimization at scale: DSPy / BootstrapFewShot / MIPROv2, or equivalent (LangChain + pytest eval harness counts)
• VLM inference serving (vLLM / TGI / llama.cpp)
• OCR pipelines wired to detection models
• Eval-first: you ship the harness before the pipeline
• Clean Python, git discipline, versioned prompts
• You've maintained a pipeline in production for 12+ months (not just built and handed off

Not a fit if you:

• Propose RAG for structured extraction
• Want to fine-tune before prompt-optimizing
• Want to pre-train a domain model
• Need a PM to translate goals into tickets
   

Nice to have: Comfortable reading enough PHP/Laravel to integrate with our Filament admin.

We provide: 

• Direct CEO collaboration — fast decisions.
• Regulatory SME owns golden records and sign-off
• Backend team handles schema and infra
• Written acceptance criteria before each module
   

Compensation: fixed-price per milestone, or retainer. Propose your structure with application.
 

How to apply?

Fill out questioner below and submit.

NB. No cover letters. No AI-generated applications — we'll notice.