Sr. Software AI Engineer

Overview

Drive the development of AI Agents and the underlying infrastructure that powers them, from design through code implementation, testing and production support.

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.
• 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.
• Drive end-to-end execution of medium-to-large features with independence, and contribute to technical direction within the team.

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) and 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) and 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.