Sr. Software AI Engineer

Overview

Drive the development of AI Agents and the underlying infrastructure that powers them, including MCP (Model Context Protocol) servers that standardize data connectivity, skills, and tools.

What you'll do

• Collaborate with cross-functional teams (product, design, operations, infrastructure) to build AI-native application experiences.
• Build AI Agents, MCP Servers, and Tools, and integrate LLM / generative AI capabilities into products, including structured prompting, memory management and context management.
• Implement retrieval-augmented generation (RAG) patterns (e.g., embeddings + retrieval) and contribute to context-aware and personalized user experiences.
• Drive end-to-end execution of medium-to-large features with independence, and contribute to technical direction within the team.
• Be involved from design to code implementation to rigorous testing and production support.
• Partner with internal teams and external contractors to lead technical reviews, integrations, and delivery execution.
• Deliver using Coding Agents, establish testing approaches for prompts and model performance, and implement observability for AI features.

What you'll need

• Bachelor's degree in computer science, Computer Engineering, or related technical field.
• 4+ years of experience using at least one general purpose programming language (Python, Java, or Go).
• Front-end experience with JavaScript/TypeScript.
• Proven track record shipping production applications that incorporate LLMs, MCPs or AI services at scale.
• Experience with cloud platforms (i.e. AWS).
• Experience with advanced containerization (Docker, Kubernetes).

Nice to have

• Experience in Cloud Software Development, including architecture design, technical leadership, and system optimization.
• Experience with Strands, ADK or Agent development frameworks.
• Experience with multiple LLM providers and advanced AI orchestration frameworks (e.g. Amazon Bedrock AgentCore, LangChain).
• Experience with modern front-end frameworks (React, Vue, or Angular) and advanced state management.
• Experience with vector databases (e.g. pgvector) and embedding model optimization.
• Experience with enterprise RAG architectures, semantic search optimization, and conversation memory management at scale.

Details

• Location: Bengaluru.
• Relocation assistance provided: Yes.