Sports Data Integration Lead – Live Scores, Catalog, Rust
Travoom
AWSBigQueryEC2ETLGoKafkaMySQLPostgresPythonRustSQL
Senior AI Engineer – Backend, AI Systems
GTT
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $100,000 - $120,000 per year
Job Level
Senior
Tech Stack
DockerGRPCPostgresPython
About the role
- Build the Backend Fabric: Guide the AI-augmented development of high-performance, modular Python services that form the backbone of our ecosystem.
- Architect API-Driven Communication: Implement and evolve the gRPC-based APIs that enable seamless, efficient communication between the orchestrator and its various tools.
- Orchestrate AI & LLMs: Integrate and harness Large Language Models to drive complex workflows, tool selection, and advanced reasoning capabilities.
- Develop Scalable Data Strategies: Architect and manage our data persistence layer, combining the strengths of relational (PostgreSQL) and vector (ChromaDB) databases.
- Create Robust Data Pipelines: Build and optimize the data ingestion and processing pipelines that continuously enrich our AI's knowledge base.
- Collaborate on Core Architecture: Work directly with the Lead Architect to solve challenging technical problems, make key design decisions, and guide the platform's technical direction.
Requirements
- 5+ years of professional experience building complex, scalable backend systems.
- Expert-level Python proficiency, with a deep understanding of object-oriented design, concurrency, and best practices.
- Strong, demonstrable experience designing and building APIs (gRPC is a significant advantage; extensive REST/FastAPI experience is also highly valued).
- Solid experience with PostgreSQL (or similar relational databases) and proficiency with an ORM like SQLAlchemy.
- Practical understanding of Vector Databases (e.g., ChromaDB, Milvus) and their role in AI applications like RAG.
- Hands-on mastery of Docker for building, shipping, and running applications.
- Experience integrating with third-party LLM APIs and a solid grasp of concepts like tool calling and prompt engineering.
- A forward-thinking mindset with a demonstrable ability to understand, review, and integrate complex codebases, including those generated with AI assistance.
Benefits
- High Degree of Autonomy
- Direct Collaboration
- Flexible Work Environment
- Ground-Floor Impact
- A Glimpse into the Future of Development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythongRPCRESTFastAPIPostgreSQLSQLAlchemyChromaDBMilvusDockerAPI design
Soft skills
collaborationproblem-solvingdesign decision makingforward-thinkingcodebase integration
