About the position
GoodLeap is building AI agents to empower professionals in the trades industries and homeowners to adopt sustainable solutions. As a Principal Software Engineer - AI Agents, you will play a critical and strategic role in shaping our next generation of intelligent, conversational, and task-driven products. This is a hands-on technical leadership role-you will architect, build, and deliver production-grade AI agent capabilities across our software ecosystem, while also setting the long-term technical direction and engaging in R&D-style innovation. You will work closely with product, design, and other engineering teams to ensure our AI solutions are reliable, scalable, and truly impactful for our customers. We are looking for someone who thrives in environments where deep technical expertise, strategic thinking, and execution excellence intersect.
Responsibilities
- Lead the design, architecture, and development of AI agent platforms and tools, including multi-modal interactions, multi-agent orchestration, memory systems, long running tasks, and other agentic AI fundamentals.
- Set technical direction for AI-powered systems, balancing near-term delivery with long-term scalability and maintainability.
- Partner with cross-functional leaders to identify high-impact opportunities for AI agent integration across products and workflows.
- Build backend services and APIs (primarily in Python with FastAPI) to support agent orchestration, memory, and secure tool access.
- Develop and integrate vector databases, embeddings, and semantic search capabilities to enhance agent intelligence.
- Drive technical excellence in system performance, reliability, observability, and security.
- Mentor engineers across teams, fostering growth in AI, backend architecture, and software craftsmanship.
- Conduct hands-on prototyping and R&D to explore new AI capabilities and frameworks, validating technical feasibility and product fit.
Requirements
- 10+ years of professional software engineering experience, including designing and delivering production systems at scale.
- 1+ years of experience working with LLMs or building and deploying machine learning models.
- Proven technical leadership in driving architecture, guiding teams, and delivering complex projects end-to-end.
- Strong backend development experience in Python (FastAPI strongly preferred).
- Experience integrating with LLM APIs (e.g., OpenAI, Claude, AWS Bedrock, Vertex AI), vector databases, and RAG pipelines.
- Familiarity with MCP and multi-agent frameworks.
- Deep understanding of system design, distributed systems, and architectural trade-offs.
- Excellent communication skills, able to convey complex technical ideas to diverse stakeholders.
Nice-to-haves
- Experience building production AI agents or agent frameworks.
- Familiarity with AWS services for scalable backend deployment.
- Experience with AI observability, MLOps, and CI/CD for AI pipelines.
Benefits
- $202,000 - $237,000 a year
- This role may be eligible for cash bonus and equity compensation.
