AI Agentic Developer (Python//Java)

Job title - Developer (AI Agentic) - Java & Python

Location - Sunnyvale CA

Length - Contract (12 Months+)

Candidate Requirements:

  - Strong background as a pure developer, starting with Core Java development and transitioning to developing AI agents using Python in the recent years.
  - Experience with the AWS cloud platform.
  - Hands-on experience with multi-agent orchestration.
  - Note: The specific AI agents the candidate has developed must be explicitly detailed on their resume.

Project Details:

  - The project involves developing AI agents and integrating them with their legacy QMS system, TrackWise, as they build out new features and capabilities around it.

Position Overview:

This is a software engineering role focused on building applications and AI capabilities for our regulated quality systems landscape. The person will design and develop Java-based applications, services and integrations that support GxP processes, and will design, build and support Python-based AI agents that automate and augment those same processes.

The emphasis of this role is engineering, not platform configuration. We are looking for a strong developer who can write production Java and Python, design solutions on AWS, and do so inside a validated environment. Familiarity with an enterprise QMS such as TrackWise is important context, but deep configuration expertise is not the primary requirement, the ability to build, integrate and support software around it is.

Skills - 

• Minimum 8 years of software engineering experience, with a majority delivering applications in regulated or otherwise highly controlled enterprise environments
• Strong, current, hands-on core Java development — Spring Boot, REST API design, multithreading, SQL and relational data modelling
• Full-stack capability, including a modern front-end framework such as React or Angular
• Minimum 2 years building and shipping production AI/LLM solutions in Python agent frameworks (LangChain / LangGraph / Bedrock Agents / MCP or equivalent), RAG, vector stores, prompt engineering and systematic evaluation
• Hands-on AWS architecture and deployment experience Bedrock or SageMaker, Lambda, API Gateway, S3, IAM, VPC networking; infrastructure-as-code (CloudFormation or Terraform) and CI/CD
• Demonstrated experience developing or integrating with an enterprise Quality Management System (TrackWise, Veeva Vault QMS, MasterControl or similar) APIs, web services, data model and workflow integration points
• Experience in the medical device, pharmaceutical or life sciences industry and systems regulations (21 CFR Part 11, GxP, GAMP 5, computer system validation)
• Experience working with business end users, gathering requirements and producing detailed design specifications
• Familiarity with Software Development Lifecycle (SDLC) processes; ability to work on multiple projects concurrently with minimum supervision