Senior AI Agent Developer | AWS & Data Engineering

Job Title :Senior AI Agent Developer | AWS & Data Engineering

Location : Intuit India – Bengaluru Office
EcoSpace, Intuit Campus 8, Campus 4A & 6A
Pritech Road, Adarsh Palm Retreat
Bellandur Village, Varthur Hobli
Bengaluru, Karnataka – 560103, India

Salary Range: 24-26.2 LPA

About the Role

We are looking for a Senior AI Agent Developer to design, build, and deploy intelligent LLM-powered agents that automate complex workflows and surface data-driven insights. You will work at the intersection of large language models, cloud-native data infrastructure, and serverless architectures on AWS.

Key Responsibilities

AI Agent Development

• Design and implement autonomous LLM-based agents using frameworks such as LangChain, and AWS Bedrock Agents
• Build multi-step agentic workflows with tool use, memory, and retrieval-augmented generation (RAG) patterns
• Integrate agents with enterprise data sources, APIs, and knowledge bases
• Evaluate, fine-tune, and optimize foundation models on Amazon SageMaker for domain-specific tasks

Data Understanding & Engineering

• Develop and maintain data pipelines (batch & streaming) using AWS Glue, Athena, and S3 data lake architectures
• Design structured and unstructured data flows that feed agent context windows and vector stores (e.g., Bedrock Knowledge Bases)
• Work with Amazon Redshift and Lake Formation for governed, analytics-ready data access
• Perform data profiling, quality checks, and schema design to ensure agent reliability

Cloud Architecture & Orchestration

• Build serverless agent pipelines using AWS Lambda and Step Functions
• Architect event-driven systems that trigger, chain, and monitor agent executions
• Design for scalability, cost efficiency, observability (CloudWatch, X-Ray), and security (IAM, VPC)

Collaboration & Delivery

• Partner with ML engineers, data scientists, and product managers to translate requirements into agent systems
• Document architecture decisions, runbooks, and agent behavioral specs
• Drive code reviews, promote best practices, and mentor junior engineers

Required Qualifications

• 5–8 years of software/ML engineering experience, with 2+ years in AI agent or LLM application development
• Hands-on experience with AWS Bedrock (Claude, Titan, etc.) and/or Amazon SageMaker (training, endpoints, pipelines)
• Proficiency with LLM agent frameworks: LangChain, LlamaIndex, CrewAI, or Bedrock Agents
• Strong understanding of RAG architectures, vector databases, and prompt engineering