{"id":791599,"url":"https://alion.io/job/vecten-senior-ai-engineer-llm-data","title":"Senior AI Engineer (LLM, Data)","company":{"id":687500,"name":"Vecten","domain":"vecten.com","url":"https://alion.io/company/vecten","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":61000,"max_usd":104000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":46},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Claude Code","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"IAM","optional":false},{"name":"JavaScript","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Next.js","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Search","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Windows","optional":false}],"status":"live","first_seen_at":"2026-01-19T00:00:00Z","employer_posted_date":"2026-01-19","last_verified_at":"2026-11-08T22:01:40Z","board_verified":true,"closed_at":null,"days_open":294,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":293},"description":"Vecten is an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with PE firms and VC funds managing a cumulative $1.2T+ in assets. Our average engagement runs five years. Our NPS sits above 80.\nWe've also done to ourselves what we do for clients. We restructured our own company around AI - tools, policies, roles, delivery models. You'll join a team that runs this playbook daily, not one that's still debating it.\nThe project\nYou'll work with our client, an American private equity and investment management firm - Fortune 500, based in New York. We support them in the area of infrastructure and data platform, and we build AI systems within that environment. The client works across finance, credit, investments, and real estate.\nSnowflake is the central data warehouse. Much of your work will start with data that already lives there and end with an AI-powered system the client's teams rely on.\nWhat you'll do\nDesign and ship LLM-powered applications: prompt pipelines, RAG, retrieval, evaluation. From validated proof of concept to production.\nDeliver MCP servers that expose data and services to AI agents and applications.\nImplement the security and authentication layer around them: enterprise authentication, custom IdP integrations, OAuth/OIDC flows.\nConsume external APIs and wrap them into services - web services, traditional APIs, or basic UIs.\nIntegrate LLM providers (OpenAI and others) into client systems.\nBuild semantic search and retrieval on vector databases (Pinecone).\nQuery, process, and analyze data in Snowflake using SQL and Python. Prepare datasets that feed AI features and analytics.\nContribute to data pipelines when needed. Other team members own them day to day, so this stays occasional.\nDocument design decisions before implementation.\nClaude Code is your primary delivery environment. Agentic engineering is how we work, not an experiment on the side.\nRequirements\nAI / LLM\nHands-on experience integrating LLMs in production: provider APIs, embeddings, RAG, vector semantic search.\nExperience with vector databases (Pinecone or similar).\nPython and data\nStrong Python, with solid command of the typical Python data stack for analyzing and processing data.\nStrong SQL and hands-on Snowflake experience. Expect a lot of querying, processing, preparing, and analyzing.\nInfrastructure and web services\nGood fundamentals in AWS (EC2, IAM, RDS, S3 and friends), Terraform, and Docker. You don't need to be the expert in the room, but you should have real experience and know your way around.\nExperience consuming and integrating external APIs.\nExperience building web services, APIs, or simple UIs.\nGeneral\n5+ years of professional engineering experience.\nUndergraduate or graduate degree in Computer Science, Engineering, Mathematics, or a similar field.\nComfortable working in both Windows and Linux environments. Your workstation runs Windows; part of the server estate does too.\nEnglish at C1 or above, spoken and written.\nClear technical writing. You document decisions and ask questions before they become problems.\nExtra points for\nLLM fine-tuning experience.\nWorking knowledge of MCP and MCP-based integrations.\nBackground in statistics or machine learning - training and evaluating basic models with scikit-learn or PyTorch.\nExperience with agent frameworks.\nWorking knowledge of OAuth 2.0 and OIDC flows.\nAirflow and dbt.\nExperience with FastAPI or other Python web frameworks.\nTypeScript or JavaScript, plus Next.js or React if UI work interests you.\nBenefits\nFrontier work, not filler. You're not building another chatbot. These systems support investment decisions at one of the largest investors in the world.\nReal autonomy. Once we align on goals, you own delivery end to end. No process layers between you and the work.\nSenior collaboration. Small team, direct access to client stakeholders, real decisions. No filler meetings.\n Growth tied to output. Your impact on client outcomes directly shapes what you earn and how fast you grow here.\nFlexible working hours, remote or hybrid from our central Warsaw office.\nThe controller of the data contained in your application is Sunscrapers Sp. z o.o., operating under the Vecten brand, ul. Tadeusza Czackiego 15/17, 00-043 Warsaw, Poland, NIP 1182116268. We process your data in order to assess your application for the role you are applying for. You have the right to access, rectify, erase and restrict the processing of your data, and the right to lodge a complaint with the President of the Polish Data Protection Authority. For data protection matters write to . Full information, including the legal bases, recipients and retention periods, is set out in our Privacy Policy","description_format":"text","description_chars":4763,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Equity","Flexible schedule"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-12T03:41:42Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.185,"p_room":0.28,"age_days":293,"expected_fill_days":30,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/vecten-senior-ai-engineer-llm-data","json_url":"https://alion.io/job/vecten-senior-ai-engineer-llm-data.json","meta":{"generated_at":"2026-11-09T03:02:40Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":801,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":687500},"rest":"https://alion.io/mcp/rest/get_company?id=687500"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvecten-senior-ai-engineer-llm-data"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fvecten-senior-ai-engineer-llm-data"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fvecten-senior-ai-engineer-llm-data"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/vecten-senior-ai-engineer-llm-data\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvecten-senior-ai-engineer-llm-data"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":791599}},{"tool":"search_jobs","arguments":{"company":"vecten.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":791599},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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