Senior Fullstack and AI Developer

Overview

We’re hiring a senior full stack developer to serve as a primary builder on AI agent evaluation and assurance platform. This is not a traditional full stack role; we need someone who is deeply technical, highly productive, and genuinely AI-native in how they work. They will help turn a complex technical vision into working product, operating multiple parallel cloud development sessions and moving quickly across the stack.

You’ll help build the platform that allows enterprises to test, evaluate, govern, and improve AI agents and agentic workflows. The work spans React frontend, backend services, orchestration layers, cloud infrastructure integration, and third-party enterprise systems including Salesforce, AWS Bedrock and Agentcore, and other agent platforms. We already have strong AI expertise and Dev Ops support; we need a highly capable builder who can connect the pieces and write a high volume of solid code.

What You’ll Do

• Build core product capabilities across the stack
• Develop and ship frontend experiences in React
• Build backend services, APIs, orchestration layers, and platform integrations
• Translate product and technical direction into high-quality production code

Own implementation across complex AI workflows

• Help design and implement systems for agent evaluation, orchestration, observability, and execution
• Integrate with third-party platforms such as Salesforce, AWS Bedrock, Bedrock Agents, Agent Core, and related enterprise systems
• Work across structured and unstructured workflows, including cloud session orchestration and test execution pipelines
• Use AI tools and agentic coding workflows as a core part of daily development
• Effectively manage 4–6+ simultaneous cloud coding and execution sessions
• Help define and improve how the team uses AI coding agents, parallel development flows, and rapid iteration

Drive speed without sacrificing quality

• Write a high volume of clean, maintainable code
• Move quickly from concept to implementation while maintaining strong engineering judgment
• Help reduce ambiguity by solving problems directly rather than waiting for perfect specs
• Partner with AI engineers, product leadership, and Dev Ops
• Help connect infrastructure, model workflows, product UX, and enterprise integrations into a coherent platform
• Contribute technical ideas, architecture feedback, and pragmatic solutions as the platform evolves

What We’re Looking For

Core Requirements

• Strong experience as a full stack engineer building production systems
• Strong frontend capability with React and modern component frameworks (Type Script preferred)
• Strong backend experience building APIs, services, and orchestration layers (Node.js, Python, or both)
• Hands-on AWS experience — comfortable working directly with services like Lambda, ECS/EKS, Step Functions, S3, Dynamo
  
  DB, API Gateway, and Cloud Formation or CDK
• Production experience with Mongo
  
  DB — data modeling, query optimization, aggregation pipelines, and operating at scale in cloud environments
• Ability to work comfortably across product, platform, and integration boundaries
• Proven track record of shipping high volumes of quality, production-grade code in fast-paced environments
• Strong grasp of modern engineering practices: CI/CD, automated testing, infrastructure-as-code, observability, and version control workflows
• Comfortable working in a small, senior team where ownership is high and hand-holding is low

AI-Native Workflow Requirements

• Genuine fluency with AI-assisted and agentic coding workflows (e.g., Claude Code, Claude Code Codex, Cursor, Copilot, Windsurf, or similar)
• Comfortable working in an environment where AI tools are used heavily for development acceleration
• Able to manage multiple parallel cloud sessions and coding agents productively (3–6+ simultaneously)
• Understands how to use AI to increase throughput while still maintaining correctness, structure, and code quality

Nice to Have

• Experience with Salesforce, Agentforce, or enterprise SaaS integrations
• Experience with AWS Bedrock, Bedrock Agents, Agent Core, or other LLM/agent platforms
• Experience building products involving agents, copilots, workflow automation, or LLM-based systems
• Background in building evaluation,…