GenAI Developer

System One
Gaithersburg, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 121K

Job location

Gaithersburg, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
Cloud Computing
Cloud Computing Security
Identity and Access Management
Python
Lex (Software)
Routing
Software Safety
Search Technologies
Software Engineering
Systems Integration
Amazon Connect
Data Logging
Large Language Models
Prompt Engineering
AWS Lambda
GIT
AI Platforms

Job description

This role focuses on developing conversational AI solutions (voice/chat bots), integrating AWS services, and supporting intelligent automation that improves customer experience and agent efficiency.

You'll work alongside senior engineers and designers to build secure, scalable applications using tools like AWS Lambda, Lex, Bedrock, and OpenSearch., * Develop backend services using AWS Lambda (Python)

  • Support AI features using Amazon Bedrock (LLMs) and retrieval-based systems (RAG)
  • Implement OpenSearch for knowledge retrieval and search
  • Configure Contact Lens for transcription, sentiment, and analytics
  • Build APIs and integrations between web chat, Connect, and AI services
  • Contribute to CI/CD pipelines, monitoring, and documentation
  • Help enforce data privacy, PII protection, and AI safety guardrails

Requirements

  • 2-4 years of software development experience (Python preferred)
  • Hands-on experience with AWS Lambda and cloud-based development
  • Experience with Amazon Connect (contact flows, routing, or integrations)
  • Exposure to Lex V2 or conversational AI tools
  • Familiarity with CI/CD pipelines and Git
  • Basic understanding of cloud security (IAM, encryption, logging)
  • Strong communication skills and ability to work on a collaborative team, * Experience with Bedrock, LLMs, or prompt engineering
  • Exposure to RAG, OpenSearch, or vector search
  • Experience with Contact Lens or Amazon Q in Connect
  • Knowledge of CloudFront, WAF, or web integrations
  • Familiarity with FISMA/FedRAMP environments
  • AWS certifications

Apply for this position