Sr. AWS Developer, Products
New
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NeuraFlash, Part of AccentureAI software, contact center
Remote - India (Bengaluru, Chennai, Gurugram, Hyderabad, Noida, or Pune Only)Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- Minimum 5+ Years of experience
- Required Skills
- Node.jsPythonTypeScript
Requirements
- Minimum 5 years of experience.
- Strong hands-on programming skills 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.
- Production workload experience with Amazon Bedrock or equivalent LLM platforms.
- 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 or Solutions Architect certification at Associate or Professional level.
- Experience building AI agents using Amazon Connect, Lex, and Bedrock for voice/chat self-service or 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.
Responsibilities
- Build Pulse's AI core, including conversation ingestion, topic detection, LLM-based evaluations and scoring, PII redaction, and insights and recommendations.
- Develop with Amazon Bedrock, including model invocation, Agents, AgentCore, Knowledge Bases/RAG, and Guardrails, as well as third-party LLM APIs.
- Design and build Pulse's MCP server and agentic interfaces for AI assistants and customer tooling.
- Engineer agent observability, including session and trace capture, evaluation harnesses, quality scoring, and production health metrics.
- Build the serverless backend using Lambda, API Gateway, DynamoDB, Aurora/RDS, S3, Kinesis, and Step Functions.
- Own product infrastructure as code with AWS CDK, creating reusable constructs that deploy into customer-owned AWS accounts.
- Own the Amazon Connect integration layer, including CTR, Contact Lens, agent event streams, Lex bots, and contact flow touchpoints.
- Drive security posture through Cognito/OIDC authentication, least-privilege IAM, encryption, and security remediation and assessments.
- Lead code reviews, mentor developers, and take technical ownership of product epics.
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