Hiring for AI/ML Full Stack Engineer at Bay Area, CA (Hybrid)

[John Tin]

Hello Folks, 

Please share suitable resumes at Shanka...@relanto.ai

Role: AI/ML Full Stack Engineer
Location: Bay Area, CA (Hybrid)

Job Description:
We are seeking a highly skilled AI/ML Full Stack Engineer with expertise in modern frontend development, Python-based backend services, Generative AI frameworks, and AWS cloud technologies. In this role, you will design and develop end-to-end AI-powered applications that leverage LLMs, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and Amazon Bedrock to deliver scalable, production-grade AI solutions. You will work across the full technology stack, building intuitive user experiences while developing robust backend services and AI orchestration layers.

Responsibilities:
• Design, develop, and deploy end-to-end AI-powered applications using React, Python, FastAPI, and AWS services.
• Build responsive and scalable frontend applications using React and optionally Next.js, ensuring seamless user experiences for AI-driven workflows.
• Develop backend APIs and microservices using Python and FastAPI to support AI and business application requirements.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embedding generation, retrieval optimization, and response orchestration.
• Implement and integrate Model Context Protocol (MCP) servers and clients to enable secure communication between AI systems, tools, and enterprise applications.
• Build and maintain AI agent workflows leveraging Amazon Bedrock, foundation models, and agent orchestration frameworks.
• Integrate with LLM providers and Bedrock foundation models while implementing prompt engineering, tool calling, structured outputs, and reasoning workflows.
• Design and implement vector database integrations and semantic search capabilities to support enterprise knowledge retrieval use cases.
• Develop real-time AI experiences using streaming APIs, Server-Sent Events (SSE), and WebSocket-based architectures.
• Collaborate with product managers, architects, and business stakeholders to translate requirements into scalable AI solutions.
• Implement security, authentication, authorization, and observability best practices across AI applications and APIs.
• Participate in architecture reviews, code reviews, and technical design discussions while contributing to engineering best practices.

Required Skills:
• 5+ years of software engineering experience with strong full-stack development expertise.
• Strong hands-on experience with React and modern JavaScript/TypeScript development.
• Experience with Next.js for server-side rendering and modern web application development (preferred but not mandatory).
• Strong proficiency in Python and backend development using FastAPI.
• Experience designing and implementing Retrieval-Augmented Generation (RAG) systems in production environments.
• Hands-on experience with Model Context Protocol (MCP), including MCP clients, servers, tools, and integrations.
• Strong knowledge of Amazon Bedrock and foundation model integrations.
• Experience working with LLMs such as Claude, Llama, Amazon Nova, Mistral, OpenAI, or similar models.
• Experience implementing vector databases and semantic search solutions using technologies such as Pinecone, Weaviate, Chroma, or FAISS.
• Strong understanding of prompt engineering, tool calling, agent orchestration, and AI application architectures.
• Experience developing REST APIs, microservices, and event-driven architectures.
• Familiarity with AWS services including Bedrock, Lambda, API Gateway, S3, DynamoDB, ECS/EKS, CloudWatch, IAM, and Secrets Manager.
• Experience with Docker, containerized deployments, and CI/CD pipelines.
• Strong understanding of authentication and authorization mechanisms including JWT, OAuth, and OIDC.
• Excellent problem-solving, communication, and collaboration skills.