{"id":3101723,"url":"https://alion.io/job/corpus-software-founding-engineer","title":"Founding Engineer","company":{"id":8332,"name":"Corpus Software","domain":"corpus.com","url":"https://alion.io/company/corpus-software","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CrewAI","optional":false},{"name":"Embeddings","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"Weaviate","optional":false},{"name":"LangChain","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-10-22T17:35:00Z","employer_posted_date":null,"last_verified_at":"2026-10-22T17:35:00Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"Responsibilities: \nBuild the AI agents at the heart of the product's multi-step reasoning over a user's finances, planning, and executing financial workflows.\nBuild retrieval and grounding over structured and unstructured financial data, so answers are accurate, current, and specific to the individual.\nDesign the evaluation harness, guardrails, and observability measuring quality rigorously, where being wrong carries real cost.\nBuild the conversational experience, including voice, so talking to Corpus feels natural and fast.\nBuild backend services, APIs, and data pipelines that take these systems from prototype to production.\nStay ahead of a fast-moving model landscape and bring in what's worth adopting and discard what isn't.\n\nRequirements: \n3-8 years building software, with depth in applied AI/ML, backend systems, or LLM applications.\nStrong Python and sound engineering fundamentals you write code others can build on.\nExperience taking LLM-powered systems to production: RAG, agents, and the unglamorous work of making them reliable.\nBe serious about evaluating; 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