Raas Infotek
Senior Technical Lead - Python Development
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Technical Lead - Python Development based in Santa Clara, California. Contract length is unspecified with a competitive pay rate. Key skills include expert Python proficiency, FastAPI, Django, AI tooling, and strong database knowledge.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 23, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Santa Clara, CA
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🧠 - Skills detailed
#FastAPI #AI (Artificial Intelligence) #Redis #MongoDB #Flask #PostgreSQL #AWS (Amazon Web Services) #API (Application Programming Interface) #NoSQL #Django #SQL (Structured Query Language) #Databases #Langchain #GCP (Google Cloud Platform) #Scala #Security #Docker #Python
Role description
Job Title/Role: Python Engineer
Location: Santa Clara, California
Mandatory Skills
• Language: Expert-level proficiency in Python (3.10+ preferred).
• Frameworks: Deep experience with FastAPI, Django
• AI Tooling: Familiarity with LangChain, LlamaIndex, or similar frameworks for agentic workflows.
• Databases: Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, Weaviate).
• Infrastructure: Proficiency with Docker, AWS/GCP, and asynchronous task queues
Role Overview:
We are looking for a Python Developer to build the backbone of our 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 and want to work at the intersection of traditional backend engineering and AI
Core Responsibilities
• Scalable API Development: Design, build, and maintain robust, high-throughput APIs (FastAPI, Django, or Flask) capable of handling millions of requests.
• Agent Logic Integration: Architect the backend systems that power our AI agents, managing long-running tasks, state persistence, and seamless communication between LLMs and our core services.
• Authentication & Security: Implement and manage secure identity protocols (OAuth2, JWT, OpenID Connect) to protect user data and internal endpoints.
• Routing & Orchestration: Design efficient request routing and service communication patterns using tools like API Gateways, or Service Meshes.
• Required Technical Skills
• Language: Expert-level proficiency in Python (3.10+ preferred).
• Frameworks: Deep experience with FastAPI, Django
• AI Tooling: Familiarity with LangChain, Llama Index, or similar frameworks for agentic workflows.
• Databases: Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, Weaviate).
• Infrastructure: Proficiency with Docker, AWS/GCP, and asynchronous task queues
Job Title/Role: Python Engineer
Location: Santa Clara, California
Mandatory Skills
• Language: Expert-level proficiency in Python (3.10+ preferred).
• Frameworks: Deep experience with FastAPI, Django
• AI Tooling: Familiarity with LangChain, LlamaIndex, or similar frameworks for agentic workflows.
• Databases: Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, Weaviate).
• Infrastructure: Proficiency with Docker, AWS/GCP, and asynchronous task queues
Role Overview:
We are looking for a Python Developer to build the backbone of our 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 and want to work at the intersection of traditional backend engineering and AI
Core Responsibilities
• Scalable API Development: Design, build, and maintain robust, high-throughput APIs (FastAPI, Django, or Flask) capable of handling millions of requests.
• Agent Logic Integration: Architect the backend systems that power our AI agents, managing long-running tasks, state persistence, and seamless communication between LLMs and our core services.
• Authentication & Security: Implement and manage secure identity protocols (OAuth2, JWT, OpenID Connect) to protect user data and internal endpoints.
• Routing & Orchestration: Design efficient request routing and service communication patterns using tools like API Gateways, or Service Meshes.
• Required Technical Skills
• Language: Expert-level proficiency in Python (3.10+ preferred).
• Frameworks: Deep experience with FastAPI, Django
• AI Tooling: Familiarity with LangChain, Llama Index, or similar frameworks for agentic workflows.
• Databases: Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, Weaviate).
• Infrastructure: Proficiency with Docker, AWS/GCP, and asynchronous task queues
