{"id":3267051,"url":"https://alion.io/job/task-harmony-backend-engineer-ai","title":"Backend Engineer - AI","company":{"id":4475213,"name":"Task Harmony","domain":"taskharmony.co","url":"https://alion.io/company/task-harmony","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":"junior","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":{"min_usd":8500,"max_usd":23000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":43},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"FastAPI","optional":false},{"name":"FFmpeg","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Gmail","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Outlook","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQLAlchemy","optional":false},{"name":"YOLO","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"C","optional":true},{"name":"Computer Vision","optional":true},{"name":"Docker","optional":true},{"name":"JavaScript","optional":true},{"name":"OpenAI","optional":true},{"name":"OpenCV","optional":true},{"name":"React.js","optional":true},{"name":"TypeScript","optional":true},{"name":"Vite","optional":true}],"status":"live","first_seen_at":"2026-10-26T09:35:00Z","employer_posted_date":null,"last_verified_at":"2026-10-26T09:35:00Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Responsibilities: \nThis is not a role of maintaining existing systems. You'll build core infrastructure from scratch.\nAgentic Email Intelligence (Freight Forwarding) - Multi-agent pipeline: fetch, classify, extract, auto-respond - LLM-powered extraction of freight rates and shipment details from unstructured emails - Prompt versioning and LLM observability with Langfuse - IMAP/Outlook/Gmail sync handling quotas, reconnection, multi-account\nDistributed Video Processing Pipeline (Warehouse Ops) - Cloud-to-edge architecture: Azure Functions Service Bus on-premise NVR agents - YOLO-based object detection, FFmpeg video clipping, overlays - Event-driven job orchestration with dead-letter handling, retries - Automated evidence generation and email dispatch\nScalable Backend Systems - Multi-tenant FastAPI services serving enterprise clients - PostgreSQL connection pooling, query optimisation, async workers - Azure Container Apps, Functions, Blob Storage - CI/CD with GitHub Actions, same-day production deploys\nYou'll own features end-to-end from database schema to API to deployment.\n\nRequirements: \nExperience with large-scale async systems (queues, workers, and event-driven architecture).\nTrack record of productionizing LLM applications (not just Langchain tutorials).\nComfort with AI coding tools (Cursor, Claude Code): We use these daily.\nWith systems thinking, you design for scale, failure modes, and end-to-end product impact.\nYou say I built it; no, my team built it. We want drivers, not passengers.\nThrived in early-stage startups where ambiguity is the norm and speed matters.\n2-4 years of production backend experience. You've built and maintained systems that real users depend on. Not hobby projects.\nStrong system design fundamentals. You can design a multi-tenant SaaS backend, think about connection pooling, handle async job queues, and debug production issues at 11 PM.\nDeep Python knowledge Not just that I can write Python. We want someone who understands generators, context managers, async/await internals, metaclasses, and the stuff that separates good code from great code.\nDatabase optimisation experience: You've dealt with slow queries, missing indexes, connection pool exhaustion, and N+1 problems. You know how to read, EXPLAIN, and ANALYZE.\nCloud deployment experience: You've deployed services on AWS/Azure/GCP. 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