{"id":4077351,"url":"https://alion.io/job/hanna-robulets-company-senior-aiml-engineer-python-llm-claude","title":"Senior AI/ML Engineer (Python / LLM / Claude)","company":{"id":4485899,"name":"Hanna Robulets 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SDK","optional":true},{"name":"pgvector","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-11-11T13:44:05Z","employer_posted_date":null,"last_verified_at":"2026-11-11T13:44:05Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Senior AI/ML Engineer (Python / LLM / Claude)\n\nProject Details\n\nProject: B2B SaaS / AI & Machine Learning\n\nWorkload: To be confirmed\n\nLocation: To be confirmed\n\nDuration: To be confirmed\n\nRate: To be discussed (B2B)\n\nEnglish: B2+\n\nStart: To be confirmed\nWe are looking for an experienced Senior AI/ML Engineer to join the engineering team of a B2B SaaS company and develop intelligent, AI-powered features for an established product.\n\nYou will work with traditional machine learning, data science, and modern LLM technologies, particularly Anthropic Claude, taking solutions from experimentation to production.\n\nAbout the Project\n\nOur client develops a B2B SaaS platform for analyst relations and influencer management.\n\nThe platform helps technology companies manage industry analyst relationships, monitor market perceptions, analyze competitive intelligence, and measure influence on purchasing decisions.\n\nThe existing technology stack includes Angular, C#/.NET, SQL Server, and MongoDB.\n\nYou will collaborate closely with backend, frontend, and product teams to integrate AI capabilities into the platform.\n\nResponsibilities\n\nDesign, train, evaluate, and deploy ML models for classification, clustering, recommendations, NLP, and forecasting.\n\nDevelop AI-powered features using LLM APIs, particularly Anthropic Claude.\n\nImplement prompt engineering, tool calling, structured outputs, and RAG pipelines.\n\nBuild Python-based services and REST APIs using FastAPI or Flask.\n\nExtract, process, and transform data from SQL Server and MongoDB.\n\nPerform feature engineering, model evaluation, and experimentation.\n\nCreate evaluation datasets and automated tests for LLM accuracy, quality, and safety.\n\nOptimize inference latency and costs through caching, batching, and model selection.\n\nMonitor production models for performance, accuracy, drift, and operational costs.\n\nIntegrate AI services with the existing .NET backend and Angular frontend.\n\nParticipate in code reviews, CI/CD workflows, and Agile development processes.\n\nTake ownership of AI features from initial prototyping through production deployment.\n\nRequirements\n\n5+ years of professional experience in Machine Learning, Data Science, or AI Engineering.\n\nStrong Python programming skills, including pandas, NumPy, and scikit-learn.\n\nHands-on experience with PyTorch or TensorFlow.\n\nStrong understanding of supervised and unsupervised learning, feature engineering, and model evaluation.\n\nPractical experience with LLM APIs, preferably Anthropic Claude.\n\nExperience with prompt engineering, tool calling, RAG, and LLM evaluation.\n\nStrong experience developing REST APIs using FastAPI, Flask, or similar frameworks.\n\nWorking knowledge of SQL and NoSQL databases, preferably SQL Server and MongoDB.\n\nExperience delivering production-ready ML/AI solutions.\n\nFamiliarity with Git, code reviews, and Agile/Scrum practices.\n\nStrong problem-solving skills and the ability to select appropriate AI/ML approaches based on business requirements.\n\nBachelor's degree in a relevant field or equivalent practical experience.\n\nEnglish: Upper-Intermediate (B2+) or higher.\n\nNice to Have\n\nExperience with vector databases such as MongoDB Atlas Vector Search, pgvector, or Pinecone.\n\nFamiliarity with AI agents, MCP, or Claude Agent SDK.\n\nExperience using Claude Code or similar AI-assisted development tools.\n\nBasic knowledge of C#/.NET and Angular/TypeScript.\n\nMLOps experience with Docker, CI/CD, MLflow, Azure, or AWS.\n\nExperience developing multi-tenant B2B SaaS products.\n\nNLP experience with unstructured business data, documents, emails, or research content.\n\nUnderstanding of data privacy and security in AI applications.\n\nIf you have strong ML engineering expertise and hands-on experience building production LLM applications, we'd be happy to hear from you!","description_format":"text","description_chars":3812,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Ukraine","iso":"UA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-11T15:43:45Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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