Job Overview
Location
United States
Job Type
Full-time
Category
Software Engineering
Date Posted
May 22, 2026
Full Job Description
📋 Description
- • Build and iterate on AI workflows for Project Animus, an internal AI agent that transforms GTM data (call transcripts, CRM records, support tickets, telemetry) into actionable insights for Sales, Customer Success, Product, and Marketing teams.
- • Extend and optimize the FastAPI + LangGraph agentic loop, including tool definitions, routing logic, prompt strategies, error handling, and observability layers.
- • Integrate new data sources such as Zendesk, Google Drive, telemetry feeds, and email into existing AWS Lambda-based data pipelines.
- • Define and consume pre-aggregated account and opportunity summaries stored in S3 to enable fast, reliable structured queries for business stakeholders.
- • Optimize Lambda-based data processing jobs for cost efficiency, reliability, and performance while maintaining data accuracy and system scalability.
- • Implement model strategy decisions by routing queries between cost-efficient models (e.g., Claude Haiku) and higher-quality models (e.g., Claude Sonnet/Opus) based on business impact and token budgeting.
- • Evaluate prompt quality, tool selection effectiveness, and response accuracy using measurable metrics to drive continuous improvement in agentic system performance.
- • Collaborate directly with GTM stakeholders to define, test, and refine AI-assisted workflows including product feedback extraction, customer update generation, onboarding plans, and win/loss summaries.
- • Contribute to the React/TypeScript web UI layer by leveraging AI tooling to accelerate frontend development tasks and improve feature delivery speed.
- • Participate in evolving the integration layer by adopting emerging standards such as Salesforce MCP for structured CRM data access.
- • Operate within an AI-native development lifecycle (AI-DLC), using AI agents and sub-agents to write, review, and iterate on code as a standard practice—not as an experimental tool.
- • Maintain system observability and cost awareness by monitoring token usage, model performance, and infrastructure spend across AWS services including Bedrock, Lambda, and S3.
- • Ensure AI-generated outputs are accurate, trustworthy, and aligned with business needs through rigorous evaluation and human-in-the-loop validation processes.
- • Work closely with the AI Solutions lead to implement and scale AI workflows that are secure, governed, and compliant with enterprise data policies.
🎯 Requirements
- • 3+ years in software engineering, including 1+ years building LLM-based applications or agents
- • Genuine fluency with AI-native development (AI-DLC): using agents and sub-agents to write, review, and iterate on code as standard practice
- • Strong Python for backend and data processing; FastAPI or equivalent async framework preferred
- • Hands-on experience with LLM tool calling and agentic loops (LangGraph, LangChain, N8N, or equivalent)
- • Practical RAG expertise: chunking, metadata schemas, retrieval quality, and evaluation
- • Cloud infrastructure experience with AWS (Lambda, S3, Bedrock) or equivalent platforms with solid CI/CD experience
🏖️ Benefits
- • Opportunity to work on cutting-edge AI agent systems at the forefront of autonomous coding
- • Transparent and structured interview process designed to respect candidate time and experience
- • Use of AI tools during take-home assessments permitted and encouraged with full disclosure
- • Employment with a company committed to ethical AI use, data privacy, and compliance with labor and data protection laws
- • Inclusive workplace culture that values equal opportunity and does not discriminate on any protected basis
- • Access to internal AI development environment for secure, governed, and scalable AI deployment
Skills & Technologies
About Coder Technologies Inc.
Coder Technologies provides a cloud development environment platform that moves software creation to remote, containerized workspaces. The open-source Coder server provisions VS Code and JetBrains IDEs running in Docker or Kubernetes, giving engineers consistent, secure, high-performance environments accessible from any browser. Teams eliminate local setup, standardize toolchains, and scale compute on demand while source code remains centralized. Enterprise features include single-sign-on, audit logging, air-gapped deployments, and granular resource controls. Founded in 2017 and headquartered in Austin, Texas, Coder serves Fortune 500 companies, government agencies, and fast-growing startups accelerating developer productivity and onboarding.
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