ALBUM

• Contribute to the design and evolution of the AI orchestration layer, building durable, fault-tolerant agentic workflows using Temporal activities and ReAct reasoning loops powered by pydantic-ai and Claude.

• Deliver features across their complete lifecycle — from design and prototyping through implementation, pytest/syrupy snapshot testing, GitLab CI/CD deployment via Octopus Deploy, and New Relic APM post-launch monitoring.

• Uphold engineering excellence by conducting thorough code reviews, writing comprehensive tests (unit, integration, Playwright end-to-end), maintaining structlog observability, and upholding uv monorepo workspace standards.

• Mentor mid-level and junior engineers in async Python best practices, pydantic-aiagent design, and clean, testable agentic architecture.

• Collaborate closely with product managers, UX designers, legal domain experts, and frontend engineers to translate complex attorney workflows into reliable, high-impact AI-powered features.

• Actively participate in cross-team planning, design reviews, sprint ceremonies, and AI platform standards discussions.

• Communicate technical trade-offs, agentic design decisions, and reliability impacts clearly to both technical teams and non-technical stakeholders, while contributing to AI orchestration roadmap discussions.

• 6+ years of professional backend development experience with expert-level mastery of Python (3.12+), async/await, FastAPI, and Pydantic v2.

• Proven production experience building complex, distributed systems — ideally including durable workflow orchestration (Temporal or equivalent), message queues, or event-driven architectures.

• Exceptional communication skills, with the ability to clearly articulate agentic design decisions, reliability trade-offs, and LLM behavior to non-technical stakeholders and cross-functional partners.

• Growth mindset, strong collaborative approach, genuine passion for mentoring others, and proven track record of delivering high-impact features end-to-end in fast-moving production environments.

• Bachelor’s degree in Computer Science or related field preferred — equivalent experience, certifications, or demonstrated expertise with a strong production track record considered equally.