Build production software – Design and implement scalable backend services, APIs, and data pipelines with a focus on reliability, performance, and maintainability
Develop agentic systems – Create autonomous agents that leverage LLMs to reason, use tools, and orchestrate complex multi-step workflows
Architect for scale – Design systems that handle real-time AI inference, conversation state, and tool execution with proper error handling and recovery
Design, develop, and deploy machine learning models that drive product features, improve user engagement, and enhance decision-making processes
Collaborate cross-functionally – Partner with Product, Design, and Engineering teams to define requirements and deliver AI-powered features.
Maintain engineering excellence – Write clean, well-tested code; conduct thorough code reviews; champion best practices across the team
Stay current – Evaluate emerging agentic frameworks, patterns, and tools; prototype new approaches to solve real problems
Requirements
Bachelor's Degree in computer science, engineering or related technical field
6+ years in professional software engineering experience
2+ years building applications that integrate LLMs or agentic systems
Proficiency in Python with experience in modern frameworks (FastAPI, async/await)
Experience with cloud platforms (AWS preferred – Lambda, Bedrock, OpenSearch)
Proven track record of shipping and operating production systems
Strong debugging, troubleshooting, and problem-solving skills
Excellent communication skills with an ability to work with global, cross-functional teams, and stakeholders
Tech Stack
AWS
Cloud
Python
Benefits
Fullsteam supports an inclusive workplace that values diversity of thought, experience, and background.