Negotiable
Outside
Remote
USA
Summary: The role of Python AI Developer involves leading software development with a focus on Python programming, particularly in the context of AI and RAG development. Candidates should have extensive experience with FAST APIs, AWS, and modular AI workflows. The position is remote and emphasizes the integration of various technologies to build scalable AI solutions. This is a contract-to-hire opportunity lasting six months.
Key Responsibilities:
- Lead software development with a strong emphasis on Python programming.
- Utilize Python web frameworks such as Django, Flask, or FastAPI.
- Integrate LangChain or similar frameworks to build modular AI workflows and applications.
- Develop prompt-based APIs and chaining tools for generative AI solutions.
- Implement retrieval-augmented generation (RAG) pipelines in scalable software systems.
- Build conversational agents and integrate chat models with third-party APIs and custom backends.
Key Skills:
- 5+ years of experience in software development with a focus on Python.
- Proficient in Python web frameworks (Django, Flask, FastAPI).
- Solid understanding of object-oriented programming principles and software architecture.
- Experience with relational databases and ORM frameworks like SQLAlchemy.
- Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes).
- Knowledge of cloud platforms (AWS, Azure, Google Cloud Platform).
- Experience in developing AI solutions and conversational agents.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Role: Python AI Developers 6 Months-CTH-Remote
Experience with FAST APIs, AWS, and AI/RAG development and deployment.
Top Skills Details
- 5+ years of experience leading software development, with a strong emphasis on Python programming.
- Proficient in Python web frameworks such as Django, Flask, or FastAPI.
- Solid understanding of object-oriented programming principles, design patterns, and software architecture.
- Proficiency in integrating LangChain or similar frameworks to build modular AI workflows and applications.
- Experience with relational databases and ORM frameworks like SQLAlchemy.
- Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
- Knowledge of cloud platforms (e.g., AWS, Azure, or Google Cloud Platform) and their services.
Experience in developing prompt-based APIs and chaining tools for task-specific generative AI solutions.
Familiarity with retrieval-augmented generation (RAG) pipelines and their implementation in scalable software systems.
Hands-on experience with building conversational agents, including integrating chat models with third-party APIs and custom backends.