Senior Artificial Intelligence/Machine Learning Engineer

Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in Poland.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As a Senior Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.

Project Description:

The Legacy Code Semantic Documentation Project is a 26-week enterprise initiative for a global industrial automation leader. The primary objective is to engineer an automated, AI-assisted pipeline to generate structured, system-level Markdown documentation directly from an undocumented ~400K LOC codebase (spanning IEC 61131-3 languages and ANSI C/C++).

Operating within a dedicated, zero-data-egress secure tenant, the technical architecture combines Tree-sitter AST parsing, Neo4j knowledge graphs, Qdrant vector search, and self-hosted open-weight LLMs (Llama 3.1 / Mixtral family) with NLI-based validation. Delivery is structured across 7 work packages executing over a 6-month period, governed by strict contractual KPIs: ≥95% code coverage, ≥92% NLI-verified factual precision, and ≥90% SME validation acceptance. All outputs align with EU Cyber Resilience Act (EU CRA) requirements for SBOM and source-level traceability.

Responsibilities:

• LLM Pipeline Engineering: Build and optimize multi-pass generation pipelines using self-hosted open-weight LLMs (Llama 3.1, Mixtral) running on local GPU infrastructure
• NLI & Validation Development: Design and integrate NLI-based validation layers and automated confidence filtering to consistently meet the ≥92% factual precision threshold
• Context Assembly & RAG: Implement advanced RAG retrieval routines combining Neo4j graph traversal and Qdrant vector search for structured code context generation
• Prompt Optimization & Fine-Tuning: Develop, test, and benchmark domain-specific prompts and structured output templates for multi-level code summarization
• Inference Optimization: Tune model throughput, latency (p95 <30s/entity), and token budget management under fixed compute constraints
• Cross-Functional Support: Partner with Data Engineers to finalize pipeline data schemas and assist AQAs in defining automated test suites for AI outputs

Requirements:

• Professional Experience: 5+ years of software/AI engineering experience, with 2+ years actively designing and deploying production-grade LLM and RAG solutions
• Mandatory AI Core Skills:
  • Direct experience with LLM deployment & inference (Llama 3.1, Mixtral, vLLM, TGI)
  • Demonstrated expertise in RAG architectures and hybrid retrieval strategies
  • Hands-on experience with NLI (Natural Language Inference) and automated LLM evaluation tools
• Programming & Tooling: Deep technical proficiency in Python, async processing, LangChain/LlamaIndex, and AI evaluation toolkits
• Infrastructure: Familiarity with Docker, Kubernetes, GPU resource optimization, and private cloud deployment models
• Quality & Engineering Discipline: Strong focus on code quality, unit testing for AI pipelines, and systematic benchmarking
• Language: Full professional proficiency in English (C1+)

What’s in it for you?

• Strong community: Work alongside top professionals in a friendly, open-door environment
• Growth focus: Take on large-scale projects with a global impact and expand your expertise
• Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
• Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
• Flexibility: Enjoy flexibility – full remote working possibilities
• Care: We've got you covered with company-paid premium medical package through Luxmed
• Benefits: Access the MyBenefit cafeteria platform, allowing you to choose perks that best suit your lifestyle and needs

About us:

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.

With delivery centers in Wrocław and Gdańsk, our 300+ professionals in Poland drive forward-thinking solutions for global clients. Join a community where collaboration sparks innovation—and your impact reaches millions.

Explore, empower, engineer with Ciklum!

Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

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