{"id":3986321,"url":"https://alion.io/job/gobblecube-senior-ai-and-backend-engineer","title":"Senior AI and Backend Engineer","company":{"id":46465,"name":"Gobblecube","domain":"gobblecube.ai","url":"https://alion.io/company/gobblecube","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","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":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Claude","optional":false},{"name":"Cursor","optional":false},{"name":"FastAPI","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"ClickHouse","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Redis","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-11-09T21:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-09T21:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for a hands-on technical leader who can build production grade AI systems, design scalable backend architecture, and lead a team of 3-4 engineers. You will balance technical execution with people management, taking ownership of complex projects while helping the team deliver high-quality software faster using AI-native development practices.\n\nWhat You'll Do:\nLead the team: Manage day-to-day execution, prioritise work, conduct 1:1s, provide feedback, mentor engineers, and support hiring and performance reviews.\nBuild backend systems: Design and develop scalable APIs, asynchronous services, integrations, and distributed systems using Python, FastAPI, and related technologies.\nBuild AI-powered products: Develop LLM applications, AI agents, RAG pipelines, and agentic workflows.\nOwn architecture and reliability: Drive technical decisions across databases, performance, security, testing, and observability.\nStay hands-on: Contribute directly to critical features, solve complex engineering problems, and support production systems.\nChampion AI-native engineering: Use tools like Cursor and Claude effectively, establishing practices that improve team productivity without compromising code quality.\nCollaborate across teams: Work with product, data, and platform teams to take initiatives from requirements to production.\n\nWhat We're Looking For:\n4+ years of software engineering experience, with demonstrated ownership of production systems.\nStrong Python fundamentals and experience designing backend services at scale.\nPractical experience building AI/LLM-powered applications, beyond basic API integrations or prototypes.\nExperience with system design, SQL, distributed systems, and production debugging.\nAbility to make sound technical trade-offs and balance delivery speed with reliability and maintainability.\nExperience mentoring engineers or leading technical projects, with strong communication and prioritisation skills.\nA hands-on mindset toward AI-assisted development, testing, and code quality.\n\nNice to Have:\nExperience with FastAPI, LangGraph, LangChain, or similar frameworks.\nFamiliarity with PostgreSQL, Redis, Snowflake, ClickHouse, or vector databases.\nExperience with AWS, Docker, Kubernetes, or messaging systems.\nBackground in data engineering, analytics platforms, or multi-agent systems.\n\nWhat Success Looks Like:\nA team of 3-4 engineers delivering reliably with clear ownership and strong engineering standards.\nScalable backend systems and AI features running reliably in production.\nImproved engineering velocity through effective AI tooling and workflows.\nEngineers who grow in capability while you continue contributing to critical technical work.\nSkills\nAPIs, Backend, FastAPI, LLM, LangChain, LangGraph, Python, 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