Full Stack Senior AI Engineer

Bounteous · Gurgaon

Source and collection record

Last observed by our collector: 8 October 2026 at 11:12 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 40cf64e9-2456-4c80-9ad6-b625d39afaaf

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected role description

Role Overview We're hiring senior AI Full Stack Engineers to join a high-velocity engagement team building enterprise-grade AI-powered products. You'll own delivery across the full stack - AI/LLM integration, backend services, cloud infrastructure, and UI - shipping at scale with real accountability for outcomes. Front-end proficiency is a strong plus. The near-term roadmap is UI-heavy, and engineers who can move fluidly across the stack - including building polished interfaces - will have the most impact. What You'll Do Design, build, and ship full-stack features on AI-powered enterprise applications. Integrate LLMs and AI tools into production workflows - RAG pipelines, agent orchestration, prompt engineering at scale. Build and maintain backend services, APIs, and data pipelines. Deploy and manage infrastructure on AWS (Lambda, ECS/EKS, API Gateway, S3, RDS, etc.). Contribute to UI delivery - building performant, well-structured interfaces using modern frameworks. Collaborate with PMs, architects, and client stakeholders in an agile delivery model. Write clean, testable, production-ready code built for enterprise scale. What You Bring 6+ years of full-stack engineering experience. Strong proficiency in at least one backend language (Python, Node.js, Java, or Go). Hands-on production experience integrating AI/ML models or LLM APIs (OpenAI, Bedrock, LangChain, etc.). Solid AWS deployment experience - ownership, not just familiarity. Experience at enterprise scale: multi-tenant systems, security, observability, CI/CD. Proficiency in a modern front-end framework (React preferred); ability to own UI delivery end-to-end is a strong differentiator. Comfort with ambiguity and delivering fast in client-facing engagements. Strong communication - you can hold your own in stakeholder conversations. Good to Have Experience with agentic frameworks (LangGraph, CrewAI, AutoGen). Familiarity with vector databases (Pinecone, pgvector, Weaviate). Prior consulting or client-facing delivery experience. Contributions to AI tooling or open-source projects.

Collected experience requirement

6-8 years