Senior AWS Developer, Products

NeuraFlash

. Build Pulse's AI core, including conversation ingestion, topic detection, LLM-based evaluations and scoring, PII redaction, and insights/recommendation capabilities .

Posted 10/9/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building AI applications using Amazon Bedrock and serverless architecture, with a strong focus on security and integration. Proficient in programming with Python and TypeScript/Node.js, and experienced in developing and operating AI agents and REST APIs.

Highest-signal resume keywords

Python ProgrammingTypeScript/Node.js ProgrammingAmazon Bedrock DevelopmentAWS Serverless ArchitectureAmazon Connect Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GenAI/LLM Application EngineeringPrompt DesignAWS CDKCloudFormationREST API DevelopmentEvent-Driven IntegrationSecurity-Minded DevelopmentIAMCognitoKMS Encryption

Soft Skills

MentoringTechnical OwnershipCode Review

Tools & Technologies

AWS LambdaAPI GatewayDynamoDBS3KinesisEventBridgeAmazon ConnectLexCTRContact Lens

Certifications & Qualifications

AWS Developer CertificationAWS Solutions Architect Certification

Industry Keywords

AI Core DevelopmentConversation IngestionTopic DetectionLLM-Based EvaluationsPII RedactionQuality ScoringProduction Health MetricsSecurity PostureSecure SDLCAgent Observability

Tech Stack

Tools & technologies

AWSDynamoDBJavaScriptNode.jsPythonSDLCTypeScript

About the role

Key responsibilities & impact

Build Pulse's AI core, including conversation ingestion, topic detection, LLM-based evaluations and scoring, PII redaction, and insights/recommendation capabilities
Develop on Amazon Bedrock, including model invocation, Agents, AgentCore, Knowledge Bases/RAG, and Guardrails, plus third-party LLM APIs
Design and build Pulse's MCP server and agentic interfaces
Engineer agent observability through session/trace capture, evaluation harnesses, quality scoring, and production health metrics
Build the supporting serverless backend using Lambda, API Gateway, DynamoDB, Aurora/RDS, S3, Kinesis, and Step Functions
Own AWS CDK product infrastructure and reusable hardened constructs for 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, IAM least privilege, encryption, SAST/DAST/CSPM remediation, and third-party security assessments
Lead code reviews, mentor developers, and take technical ownership of product epics

Requirements

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, 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 or Solutions Architect certification at Associate or Professional level
Experience building AI agents using Amazon Connect, Lex, and Bedrock
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

Benefits

Comp & perks

Remote work options
Flexible working arrangements
Potential travel commitment of up to 25% for certain roles
Company town halls and meetings
Team celebrations and social events