Sr. AWS Developer, Products

Why NeuraFlash, Part of Accenture:

At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, AWS, and Salesforce innovation, we craft intelligent solutions—integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more—to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies.

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we’ve earned the distinction of being Salesforce’s #1 partner for Agentforce, reinforcing our role as pioneers in this transformative space.

Be part of the NeuraFlash, Part of Accenture journey and help shape the next wave of AI-powered transformation. Here, you’ll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you’re developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you’re ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you.

The Sr. AWS Developer — Products builds the AI backbone of Pulse , NeuraFlash’s AI agent monitoring, insights & evaluation platform, and NeuraFlash Desktop for Amazon Connect , our contact center product suite. This is an AI product engineering role with contact center DNA: you ship the LLM pipelines, agentic services, and MCP surfaces that let customers monitor, evaluate, and improve their AI agents grounded in real contact center conversations flowing out of Amazon Connect.

The ideal candidate pairs strong Amazon Bedrock ecosystem experience with hands-on Amazon Connect knowledge, is proficient in Python or TypeScript/Node.js, and treats security, scalability, and deployment portability as first-class requirements. If you love building GenAI products for the contact center on AWS end-to-end, we’d love to talk to you!

Responsibilities:

• Build Pulse’s AI core: conversation ingestion, topic detection, LLM-based evaluations and scoring, PII redaction, and the insights/recommendation engine
• Develop on Amazon Bedrock — model invocation, Agents, AgentCore (gateways, 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: session/trace capture, evaluation harnesses, quality scoring, and health metrics for production AI agents
• Build the supporting serverless backend: Lambda, API Gateway, DynamoDB, Aurora/RDS, S3, Kinesis, Step Functions
• Own product infrastructure as code (AWS CDK): reusable, hardened constructs that deploy cleanly into customer-owned AWS accounts
• Own the Amazon Connect integration layer: CTR, Contact Lens, agent event streams, Lex bots, and contact flow touchpoints that feed Pulse and power ACE features
• Drive security posture: Cognito/OIDC auth, IAM least privilege, encryption everywhere, SAST/DAST/CSPM remediation, third-party security assessments
• Lead code reviews, mentor developers, and take technical ownership of product epics with minimal direction

Required Skills:

• Minimum 5+ Years of experience
• Strong hands-on programming in Python and/or TypeScript/Node.js
• Hands-on GenAI/LLM application engineering: prompt design, RAG, structured outputs, LLM-as-judge evaluation, guardrails, token/cost optimization
• Experience with Amazon Bedrock (or equivalent LLM platforms) in production workloads
• Deep experience with AWS serverless architecture (Lambda, API Gateway, DynamoDB, S3, EventBridge/Kinesis)
• Experience with AWS CDK or CloudFormation and CI/CD pipelines
• Amazon Connect experience (contact flows, Lex, CTR/Contact Lens data streams)
• AWS Developer / Solutions Architect certification (Associate or Professional)
• Experience building AI agents using Amazon Connect, Lex, and Bedrock (voice/chat self-ser…