{"id":3946834,"url":"https://alion.io/job/algoleap-senior-python-ai-engineer","title":"Senior Python AI Engineer","company":{"id":3800168,"name":"Algoleap","domain":"algoleap.com","url":"https://alion.io/company/algoleap-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"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":["Noida, 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":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"LLM","optional":false},{"name":"OCR","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Vertex AI","optional":false},{"name":"CI/CD","optional":true},{"name":"GitHub Actions","optional":true}],"status":"live","first_seen_at":"2026-11-08T21:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-08T21:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Role Summary:\n\nThe Senior FDE builds and ships AI features on GCP end to end, working closely with client users. They are the pod's hands-on technical anchor and guide the two Junior FDEs day to day.\n\nKey Responsibilities:\nBuild and deploy AI solutions on GCP from design through production\nDevelop GenAI and LLM features: prompt pipelines, RAG, tool calling, and agent workflows\nBuild voice workflows (speech-to-text, text-to-speech, voice bots) and document pipelines (extraction, classification, search)\nWrite clean, tested Python services and integrate with client systems and APIs\nLead debugging of production issues and drive fixes to closure\nReview Junior FDEs' code, pair with them, and break work into clear tasks\nJoin client calls to gather requirements, demo progress, and explain technical choices\nDocument solutions, runbooks, and handover notes\n\nRequired Skills:\nGCP stack: hands-on with Vertex AI, Cloud Run or Cloud Functions, BigQuery, Cloud Storage, and Pub/Sub\nPython: strong; REST APIs, data processing, unit and integration testing\nAI: practical GenAI and LLM delivery (Gemini or similar), embeddings, vector search, prompt engineering\nVoice and document management: working experience with Speech-to-Text or Text-to-Speech and Document AI or OCR tools\nDebugging: independent troubleshooting across code, cloud logs, and integrations\nCommunication and presentability: clear with client users; 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