About this role
The candidate will join a cross-functional development team working on the Legacy Code Semantic Documentation Project, a 26-week enterprise initiative for a global industrial automation leader. Responsibilities include developing AI pipelines using self-hosted LLMs like Llama 3.1 and Mixtral, and integrating RAG retrieval with Qdrant and Neo4j. The role involves constructing domain-specific prompts, implementing NLI-based validation, and collaborating with Data Engineers and QA to ensure high-precision documentation generation. The technical environment utilizes Tree-sitter AST parsing, vector search, and knowledge graphs within a secure tenant. The engineer will work on a project aimed at generating structured Markdown documentation from a large undocumented codebase.
Skills & technologies
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Job Description
Ciklum is looking for an Artificial Intelligence / Machine Learning Engineer to join our team full-time in Ukraine.
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 an Artificial Intelligence / Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.
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
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.
As one of Ukraine’s largest IT companies and a top employer recognized by Forbes, we’ve spent over 20 years delivering meaningful tech solutions. We proudly support diverse talent and military veterans, recognizing their unique skills and perspectives they bring to shaping the future.
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.
Ciklum is looking for an Artificial Intelligence / Machine Learning Engineer to join our team full-time in Ukraine.
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 an Artificial Intelligence / Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.
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
- AI Pipeline Development: Implement and maintain multi-pass LLM generation workflows using self-hosted open-weight models (Llama 3.1, Mixtral)
- RAG Retrieval Integration: Connect vector search routines (Qdrant) and graph queries (Neo4j) into unified prompt context builders
- Evaluation Pipeline Support: Integrate automated NLI checking scripts to filter low-confidence generations and verify factual precision
- Prompt Engineering & Templating: Construct, benchmark, and refine domain-specific prompts to output structured Markdown assets
- Cross-Functional Collaboration: Partner with Data Engineers on schema ingestion and work with QA to validate AI-generated output quality against code baselines
- Professional Experience: 3+ years in commercial software development or data science, with 1.5+ years building and deploying practical LLM/AI applications
- Core Technical Stack: High proficiency in Python, clean code principles, REST APIs, and asynchronous programming
- Practical AI/RAG Exposure: Demonstrated working knowledge of RAG architectures, prompt design, and vector databases (Qdrant/OpenSearch)
- Model Execution Understanding: Familiarity with self-hosted open-weight LLM workflows, token management, and inference engines (vLLM, TGI)
- Engineering Best Practices: Hands-on experience with Git, Docker containerization, unit testing, and CI/CD pipelines
- Language: Professional proficiency in English (B2+/C1)
- 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 radical flexibility – work remotely or from an office, your choice
- Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations
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.
As one of Ukraine’s largest IT companies and a top employer recognized by Forbes, we’ve spent over 20 years delivering meaningful tech solutions. We proudly support diverse talent and military veterans, recognizing their unique skills and perspectives they bring to shaping the future.
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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