Job Role: Full Stack Engineer AI with Bedrock
Location: Hyderabad/Bangalore (Hybrid/ Remote)
Job Type : Fulltime
**Only Immediate Joiners only**
Job Summary
:As a Senior Full-stack Engineer, you will build production-grade systems that go well beyond conversational assistants. This role sits at the intersection of software engineering, data engineering, and Agentic engineering, building stateful, goal-driven AI systems that can reason, plan, coordinate, and execute complex tasks with appropriate controls
.You will collaborate closely with colleagues across Product, Design, Infrastructure, and other Application engineers. You will help enforce sound engineering practices, and ensure our AI-driven applications remain robust, maintainable, and performant
.You must demonstrate a strong understanding of cloud architecture principles
.
Primary Responsibilities
- : Build High-Quality SPA: Design, develop, test, and maintain Single Page Applications ranging from experiments to flagship product
- s.Build High-Quality Backend Systems: Design, develop, test, and maintain backend services and APIs that power AI applications, ensuring they are reliable, secure, and performan
- t.Design and build multi-agent workflows: Build stateful agentic applications using agent orchestration frameworks capable of coordinating multiple autonomous component
- s.State, memory, and long-running execution: Engineer control flows for non-deterministic systems, including message passing, persistent memory, recoverability, and interruptible execution for long-running task
- s.Standardized tool interfaces: Establish universal interfaces between agents, enterprise data sources, and operational tools to ensure modularity, reusability, and consistent governanc
- e.Model integration and runtime optimization: Build routing and fallback strategies across multiple model endpoints; optimize context management, latency, and inference cost while maintaining reliabilit
- y.Production deployment: Package and deploy workloads via containerization and cluster orchestration, using cloud-native services for scaling, isolation, and secure runtime operation
s.
Education/Experienc
- e: Experience: 8+ years in software engineering, data engineering, and/or machine learning engineering, with demonstrated ownership of production systems. Using Python, React/Angular, TypeScript, FastAPI, LangGraph, AI SDK, AWS, Langf
- useFull-stack development: Advanced proficiency in Python and React/Angular for building modular, testable, maintainable production servic
- es.Generative AI in production: Proven experience building and deploying LLM-based applications and/or agentic systems in real-world environmen
- ts.Storage and retrieval expertise: Proven experience designing AI-ready storage layers across vector databases, relational and NoSQL databases, and modern lakehouse/warehouse architectur
- es.Cloud and infrastructure depth: Strong capability deploying and scaling services on major cloud platforms using containerization, cluster orchestration, CI/CD, and secure runtime practic
- es.LLM systems understanding: Strong grasp of retrieval-augmented generation, embeddings, context strategies, prompt/system design, and failure modes in deployed syste
- ms.Hybrid engineering skillset: Ability to blend ML intuition (model behavior, uncertainty, evaluation) with software excellence (APIs, async systems, reliability engineerin
- g).Education: Bachelor's degree in computer science, Engineering, Mathematics, or related technical field (or equivalent experienc
e).
Technology St
- ack:Backend: Python, Fas
- tAPIFrontend: React or Angular, TypeSc
- riptAI/LLM: AWS Bedrock, LangGraph, RAG pipelines, embedd
- ingsObservability: Langfuse or similar LLM observability t
- oolsInfra: Docker, Kubernetes/ECS, C
- I/CDData: Vector DBs (Pinecone, OpenSearch, Weaviate, etc.), SQL/N
oSQL
