Senior Python Developer

We are Hiring Senior Python Developer (Onsite - San Jose, CA)

Must attend an IN-PERSON interview this Saturday!
We are looking for a Senior Python Developer to build the backend backbone of our AI platform. You will be responsible for creating high-performance APIs, integrating advanced AI agent logic, and ensuring our infrastructure remains rock-solid as we scale.

If you enjoy solving complex architectural puzzles at the intersection of traditional backend engineering and modern GenAI/LLMs, we want to hear from you immediately!

Location: San Jose, California (100% Onsite)
Job Type: Contract
Compensation: Level 3 Wage Preferred
Interview Process: ONLY 1 ROUND (In-Person this Saturday)

LOCAL CANDIDATE & INTERVIEW REQUIREMENT (MANDATORY):
100% Local Candidates Only: We are only considering candidates currently residing in the San Jose / Bay Area. Non-local profiles will not be considered.
In-Person Interview: Selected candidates must be available to attend a one-round, face-to-face interview with the end client this Saturday. Please do not apply if you cannot make it in person.

CRITICAL TAX TERM REQUIREMENTS:
H-1B Candidates: Accepted on C2C (Level 3 wage preferred).
Note to Employers/Vendors: Do not submit consultant profiles for C2C. They will not be processed.

Core Responsibilities:
Scalable API Development: Design, build, and maintain robust, high-throughput APIs (FastAPI, Django) capable of handling millions of requests.
Agent Logic Integration: Architect backend systems that power our AI agents, managing long-running tasks, state persistence, and seamless communication between LLMs and core services.
Authentication & Security: Implement secure identity protocols (OAuth2, JWT, OpenID Connect).
Routing & Orchestration: Design efficient request routing using API Gateways or Service Meshes.

Required Technical Skills:
Must have 13+ years of experience
Language: Expert-level proficiency in Python (3.10+ preferred).
Frameworks: Deep experience with FastAPI and Django.
AI Tooling: Hands-on familiarity with LangChain, LlamaIndex, or similar frameworks for agentic workflows.
Databases: Strong knowledge of SQL (PostgreSQL), NoSQL (Redis, MongoDB), and Vector Databases (Pinecone, Weaviate).
Infrastructure: Proficiency with Docker, AWS/Google Cloud Platform, and asynchronous task queues.

How to Apply:
If you are a local Bay Area candidate available for an in-person interview this Saturday, please fast-track your profile by sending your updated resume and visa status directly to: