Lead a team of engineers building production-grade tools and apps for video game asset pipelines, with a focus on LLM agent engineering (prompting, MCP, guardrails) and Python/FastAPI backends. Frontend work is Vue/React, backed by PostgreSQL/MongoDB/Redis on AWS/GCP with GitLab CI/CD and Docker.
ABOUT THE POSITION
We're seeking a lead Full-Stack Engineer to lead a diverse team to design, implement, and optimize production-grade tools and applications that support video game asset pipelines and production workflows.
Responsibilities
Agent loop & harness engineering
Own prompting strategy at scale: system prompt design, guardrails, mitigation of context poisoning and pollution, and management of hyperparameters (context window sizing, lost-in-the-middle effects, temperature, top-k).
Design tool interfaces for agents: MCP servers, structured inputs/outputs for context, and sub-agent composition patterns.
Champion best practices for typed-agent frameworks, with first-class observability and telemetry baked into every agent.
Evaluate and integrate ..local LLM.. options where latency, cost, or data-residency requirements demand it.
Backend
Design and build scalable backend services and secure RESTful APIs using Python (FastAPI or Flask).
Model, query, and optimize data across relational and NoSQL databases implement caching and messaging when needed.
Enforce authentication/authorization, input validation, and robust error handling.
Quality, performance, and delivery
Write comprehensive tests with tools such as pytest.
Own performance tuning, troubleshooting, code reviews, and technical documentation.
Set up and maintain CI/CD with Git and GitLab use Docker for local development and deployment pipelines.
Collaboration and process
Lead a group of engineers to deliver AI/Software project.Partner with UI/UX, backend, production, SRE, and IT stakeholders to deliver user-centric solutions.
Contribute to architectural decisions and mentor junior engineers.
Work within agile methodologies, continuously improving team practices.
Qualifications
7+ years of professional experience building production applications as a fullstack engineer.
Strong hands-on expertise in Python (FastAPI or Flask), RESTful API design, and SQLAlchemy/Pydantic or similar tooling.
Proficiency in Vue or React, including routing, state management (Vuex/Pinia or Redux), and component libraries.
Proven experience working on public cloud like AWS/GCP
Database proficiency with relational systems (PostgreSQL) and familiarity with NoSQL (MongoDB, Vector DB) experience with caching and message queues (Redis) is valued.
Proven testing mindset and experience with automated test suites.
Comfortable with Git, GitLab CI/CD, and Docker.
Clear communication skills and experience collaborating with cross-functional teams.
Nice to haveExperience with agent development frameworks (LangChain/LangGraph) is a plus.Certification: AWS Certified Solutions Architect - Associate