Sr. AWS Developer, Products

Team: IT

Location: India

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Build core AI product capabilities, including conversation ingestion, topic detection, LLM-based evaluations and scoring, personally identifiable information (PII) redaction, and insights and recommendations.

• Develop generative AI solutions using Amazon Bedrock, including model invocation, agents, AgentCore, Knowledge Bases, retrieval-augmented generation (RAG), guardrails, and third-party LLM APIs.

• Design and implement Model Context Protocol (MCP) servers and agentic interfaces that enable AI assistants and customer tools to access product data and actions.

• Build AI agent observability capabilities, including session and trace capture, evaluation frameworks, quality scoring, and production health metrics.

• Develop and maintain serverless backend services using AWS Lambda, API Gateway, DynamoDB, Aurora/RDS, S3, Kinesis, and Step Functions.

• Own infrastructure as code using AWS CDK, creating reusable, secure, and hardened components that can be deployed into customer-owned AWS accounts.

• Build and maintain Amazon Connect integrations involving Contact Trace Records (CTR), Contact Lens, agent event streams, Lex bots, and contact flows.

• Strengthen application security through Cognito/OIDC authentication, least-privilege IAM policies, encryption, and remediation of findings from security testing and assessments.

• Lead code reviews, mentor other developers, and take end-to-end technical ownership of product initiatives with minimal supervision.

Requirements:

• At least 5 years of professional software development experience.

• Strong hands-on programming skills in Python and/or TypeScript/Node.js.

• Practical experience engineering generative AI and LLM applications, including prompt design, RAG, structured outputs, LLM-as-judge evaluations, guardrails, and token and cost optimization.

• Production experience with Amazon Bedrock or equivalent LLM platforms.

• Strong knowledge of AWS serverless architecture, including Lambda, API Gateway, DynamoDB, S3, and EventBridge/Kinesis.

• Experience with AWS CDK or CloudFormation, infrastructure as code, and CI/CD pipelines.

• Hands-on Amazon Connect experience, including contact flows, Lex, and CTR/Contact Lens data streams.

• Experience building AI agents with Amazon Connect, Lex, and Bedrock for voice or chat self-service and agent assistance.

• Proven ability to build and operate REST APIs and event-driven integrations across multiple systems.

• A security-focused development approach, including IAM, Cognito, KMS encryption, VPC and network design, and secure software development practices.

• AWS Developer or Solutions Architect certification at the Associate or Professional level.

• Strong problem-solving, communication, collaboration, and technical leadership skills.

• Preferred qualifications: Experience developing MCP servers or using agentic frameworks such as Bedrock AgentCore, LangGraph, Strands, or CrewAI; AI agent evaluation and observability; multi-tenant SaaS or products deployed into customer cloud accounts; broader contact center technologies, including workforce management and WebRTC/SIP; familiarity with Salesforce Service Cloud, Data Cloud, or Agentforce; and AWS AI Practitioner or Machine Learning Specialty certification.

Benefits:

• Remote work within India, limited to the listed eligible locations: Bengaluru, Chennai, Gurugram, Hyderabad, Noida, or Pune.

• Flexible working arrangements built around trust, personal responsibilities, and outcomes rather than rigid working hours.

• A collaborative environment that encourages employees to contribute ideas and feedback through team discussions, town halls, and company meetings.

• Opportunities to work with emerging AI, generative AI, AWS, and contact center technologies.

• A team culture that values connection, recognition, and celebrating achievements together.

• Travel may be required for certain roles, with an anticipated commitment of up to 25%; the specific travel expectations for this position are not confirmed.

• Salary, healthcare coverage, and other financial or insurance benefits are not specified in the job description.