Principal Agentic Engineer (Back-end)

Strong experience with Python 3 for backend development.

Experience designing and consuming RESTful APIs.

Proven experience with spec-driven development.

Hands-on experience using AI coding agents (e.g., Copilot, Claude Code).

Strong prompt engineering skills.

Experience working with LLMs (e.g., Gemini 3, Claude Opus, GPT-4.x/5.x).

Experience implementing vector stores and RAG architectures.

Experience with Agent Development Kits (e.g., Google ADK).

Strong experience with Google Cloud Platform (GCP).

Hands-on experience with Vertex AI and Google Gen AI APIs.

Experience with relational and non-relational databases.

Experience with Git and CI/CD pipelines.

Strong system design fundamentals, including queues, caching strategies, database schema design, and API design. You know how to build systems that survive and scale in production.

Experience designing AI agents, agent task planning, and reasoning patterns.

Agent observability and debugging experience.

Ability to clearly articulate goals, constraints, and context for agentic systems; reason through edge cases and failure modes; and iteratively refine agent behavior based on observed outcomes.

Comfort understanding and integrating across the full stack; experience with TypeScript and modern JavaScript is highly beneficial.

Excellent English communication skills (written and verbal), with the ability to explain complex technical concepts to both technical and non-technical audiences.

Excellent command of the English language to guide coding agents to complete required coding tasks.

Experience working effectively with fully remote, distributed teams.

Experience working in a consultancy, agency, or professional services firm.

Ability to thrive in a flexible, fast-paced delivery environment.