Job Description
<h3>📋 Description</h3> • You will design and implement LLM-based agentic applications, run experiments, establish technical patterns for the team and mentor other engineers.
• You will write code 90%+ of the time and iterate with the frequency of a startup.
• This is what you can expect to do in this role: Design and implement AI agents using LLMs, vector databases, orchestration frameworks and connect to external systems using MCP.
• Define architectural patterns for prompt engineering, agent workflows, and system integration.
• Build on AWS (Bedrock, Lambda, DynamoDB).
• Establish and execute testing and evaluation strategies for non-deterministic AI systems.
• Partner with product teams to scope and plan, interview customers to gather feedback and boost adoption.
• Work directly with our Chief Architect and SVP of Engineering, they are both contributing code to our AI solutions. <h3>🎯 Requirements</h3> • Building and shipping code to production in "startup mode" - releasing frequently, incorporating user feedback, continuous refactoring to preserve code quality while moving fast.
• Using AI-assisted development tools like Cursor, Windsurf or Claude Code.
• Building and deploying LLM-based production systems, including MCP connectors and RAG solutions.
• Experience with AI frameworks (LangChain, LlamaIndex, etc.) or equivalent experience with complex software systems and eagerness to learn AI-specific tools.
• AWS knowledge, particularly managed AI services.
• Open source AI contributions (Bonus points).
• Experience with AI evaluation and observability at scale (Bonus points).
• Model training or fine-tuning (Bonus points). <h3>🏖️ Benefits</h3> • Generous Flexible Time Off (FTO) Policy
• Up to 15 paid company holidays including some commemorating social justice events and self-care
• Paid volunteer time
• Resources for savings and investments
• Paid parental leave
• Paid sick leave
• Health, vision, dental, and life insurance with additional access to health and wellness programs.
• Opportunities to learn, develop, network, and connect