Python AI Engineer

Python AI Engineer

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We are seeking an experienced Python AI Engineer with 3–7 years of hands-on experience developing AI and machine learning solutions, specifically with Large Language Models (LLMs).

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Key Responsibilities

• Design and develop LLM-powered applications
• Build and optimize agentic systems and workflows
• Develop workflows using LangChain and LangGraph
• Implement RAG systems, vector databases, and knowledge management solutions
• Integrate OpenAI, Anthropic, Azure OpenAI APIs
• Optimize model performance, cost, latency and monitoring

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Required Skills

• Strong Python, FastAPI, Microservices, Multiprocessing, Async APIs and Webhooks
• Hands-on with PostgreSQL, Vector DBs and Caching
• Production experience with LLM applications
• Experience with LangChain, LangGraph or similar frameworks
• Knowledge of AWS, Azure or GCP
• GitHub collaboration and open-source contributions

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Good to Have

• Knowledge of React or frontend frameworks

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Python AI Engineer – Prescreening Questions

#	Prescreening Question	Expected Answer Type
1	Do you have 3–7 years of professional experience in Python development?	Yes / No
2	Have you built and deployed LLM-powered applications in production?	Yes / No
3	Which LLM frameworks have you used (LangChain, LangGraph, others)?	Text
4	Describe your experience with agentic workflows (planning, reasoning, tool usage).	Text
5	Do you have hands-on experience with RAG systems and vector databases?	Yes / No
6	Which vector databases and RDBMS have you worked with?	Text
7	Describe your experience with FastAPI and microservices architecture.	Text
8	Have you integrated OpenAI, Azure OpenAI, or Anthropic APIs?	Yes / No
9	Which cloud platforms have you deployed AI solutions on (AWS, Azure, GCP)?	Text
10	Do you contribute to GitHub or open-source repositories?	Yes / No
11	Rate your experience with async programming and multiprocessing in Python.	Scale 1–5
12	Do you have working knowledge of React or frontend frameworks?	Yes / No