Sr. AWS Developer, Products

Overview

The Sr. AWS Developer — Products builds the AI backbone of Pulse, NeuraFlash's AI agent monitoring, insights and evaluation platform, and NeuraFlash Desktop for Amazon Connect. This AI product engineering role develops LLM pipelines, agentic services and MCP surfaces for monitoring, evaluating and improving AI agents using contact center conversations from Amazon Connect.

What you'll do

• Build Pulse's AI core, including conversation ingestion, topic detection, LLM-based evaluations and scoring, PII redaction, and the insights and recommendation engine.
• Develop on Amazon Bedrock, including model invocation, Agents, AgentCore gateways and runtimes, Knowledge Bases/RAG and Guardrails, plus third-party LLM APIs.
• Design and build Pulse's MCP server and agentic interfaces so AI assistants and customer tooling can consume Pulse data and actions.
• Engineer agent observability, including session and trace capture, evaluation harnesses, quality scoring and health metrics for production AI agents.
• Build the supporting serverless backend using Lambda, API Gateway, DynamoDB, Aurora/RDS, S3, Kinesis and Step Functions.
• Own product infrastructure as code using AWS CDK, with reusable, hardened constructs that deploy cleanly into customer-owned AWS accounts.
• Own the Amazon Connect integration layer, including CTR, Contact Lens, agent event streams, Lex bots and contact flow touchpoints that feed Pulse and power ACE features.
• Drive security posture through Cognito/OIDC authentication, IAM least privilege, encryption everywhere, SAST/DAST/CSPM remediation and third-party security assessments.
• Lead code reviews, mentor developers and take technical ownership of product epics with minimal direction.

What you'll need

• Minimum 5+ years of experience.
• Strong hands-on programming in Python and/or TypeScript/Node.js.
• Hands-on GenAI/LLM application engineering experience, including prompt design, RAG, structured outputs, LLM-as-judge evaluation, guardrails and token/cost optimization.
• Experience with Amazon Bedrock, or equivalent LLM platforms, in production workloads.
• Deep experience with AWS serverless architecture, including Lambda, API Gateway, DynamoDB, S3 and EventBridge/Kinesis.
• Experience with AWS CDK or CloudFormation and CI/CD pipelines.
• Amazon Connect experience, including contact flows, Lex, and CTR/Contact Lens data streams.
• AWS Developer / Solutions Architect certification at Associate or Professional level.
• Experience building AI agents using Amazon Connect, Lex and Bedrock for voice/chat self-service and agent assist.
• Experience building and operating REST APIs and event-driven integrations across multiple systems.
• Security-minded development experience with IAM, Cognito, KMS encryption, VPC/network design and secure SDLC.

Nice to have

• MCP server development or experience with agentic frameworks such as Bedrock AgentCore, LangGraph, Strands or CrewAI.
• AI agent evaluation and observability experience, including evals, tracing and scoring pipelines.
• Experience shipping multi-tenant SaaS or products deployed into customer cloud accounts.
• Contact center platform breadth, including WFM, voice protocols such as WebRTC/SIP or other CCaaS platforms.
• Salesforce platform/API familiarity, including Service Cloud, Data Cloud and Agentforce.
• AWS AI Practitioner or Machine Learning Specialty certification.

Details

• Remote in India, limited to Bengaluru, Chennai, Gurugram, Hyderabad, Noida or Pune.