{"id":2257631,"url":"https://alion.io/job/deloittece-senior-ai-engineer-2","title":"Senior AI Engineer","company":{"id":4401342,"name":"Deloitte Central Europe","domain":"deloittece.com","url":"https://alion.io/company/deloittece","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":61000,"max_usd":102000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":56},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Claude","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"Weaviate","optional":false},{"name":"AI Agents","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Edge AI","optional":true},{"name":"Git","optional":true},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true},{"name":"LLM","optional":true},{"name":"NLP","optional":true},{"name":"NumPy","optional":true},{"name":"Pandas","optional":true},{"name":"Rest API","optional":true},{"name":"SQL","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-11T04:14:34Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-12T21:21:47Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Description & Requirements\nWho we are looking for\nWe are seeking a talentedSeniorAI Engineer to join our team, focusing on designing, developing, and implementing advanced AI solutions. The ideal candidate will have a strong background in Python programming and practical experience with modern AI frameworks and tools.\nTechnical Skills\nProgramming Languages: Python (required), JavaScript/TypeScript (beneficial)\nAI Technologies: OpenAI, Anthropic Claude, LangChain\nData Processing: Pandas, NumPy, Data Engineering, Data Analysis\nWeb Frameworks: FastAPI, Django, REST APIs\nCloud Platforms: Microsoft Azure, AWS\nDatabases: SQL, NoSQL, Vector databases (Pinecone, etc.)\nDevOps: Docker, Git, CI/CD pipelines\nRequired Qualifications\nBachelor's degree in Computer Science, Applied Mathematics, or related technical field\n2+ years of experience as an AI Engineer \nStrong programming skills in Python\n Experience with generative AI technologies\nFamiliarity with vector databases (Pinecone, Weaviate, etc.)\nExperience with OpenAI products and Anthropic Claude\nAdditional skills would be a plus:\nBackground in building multi-agent AI-based solutions\nExperience with FastAPI or Django frameworks\nKnowledge of message queuing systems\nRelevant certifications (AWS, etc.)\nBackground in data engineering or data analysis\nSoft Skills\nStrong analytical and problem-solving abilities\nExcellent communication skills in English\nAbility to work effectively in cross-functional teams\nSelf-motivation and ability to work independently\nAdaptability to rapidly evolving technologies\nPassion for AI innovation and emerging technologies\nYour future role\nDesign and implement collaborative AI agent environments using OpenAI, Anthropic, and other LLM platforms\nDevelop and customize AI agents using existing frameworks and build custom agentic systems\nCreate autonomous agent workflows and orchestration systems for complex task execution\nDevelop scalable RESTful APIs for AI-powered applications\nCreate and optimize natural language processing (NLP) pipelines and workflows\nImplement and fine-tune large language models\nDesign and maintain vector databases for efficient retrieval of AI-relevant information\nWork with cross-functional teams to integrate AI capabilities into existing products and services\nContainerize and deploy AI services using Docker and cloud platforms\nOptimize AI model performance and ensure system reliability\nMentor junior team members on AI technologies and best practices\nStay current with latest advancements in AI and recommend new approaches\nWhat we offer\nOpportunity to work on cutting-edge AI technologies and solutions\nProfessional development and learning opportunities\nCollaborative and innovative work environment\nCareer advancement opportunities","description_format":"text","description_chars":2758,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Professional 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