Python + Generative AI Engineer

Note - This opportunity is on behalf of one of our esteemed clients – we’re assisting them with the hiring process. They are looking to fill this position immediately (by next week).

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Job Overview

Python + Generative AI Engineer

Key Responsibilities:

• Design and implement AI-driven applications using

  Python

  and

  Generative AI frameworks

  .
• Fine-tune and optimize

  LLMs

  (e.g.,

  GPT,

  LLaMA

  ,

  Falcon

  ) for domain-specific use cases.

• Develop APIs

  and microservices to integrate AI models with enterprise systems.
• Implement retrieval-augmented generation (RAG) pipelines, embeddings, and vector databases (e.g.,

  Pinecone, FAISS, Chroma

  ).
• Build and maintain

  CI/CD pipelines for AI/ML deployments.

• Collaborate with cross-functional teams (Data Science, DevOps, Product) to deliver scalable AI solutions.
• Ensure AI model performance, security, and compliance standards are met.
• Research and adopt emerging AI/ML techniques for continuous improvement.

Required Skills & Qualifications:

• Programming

  : Strong expertise in Python (FastAPI / Flask preferred).

• Generative AI

  : Experience with OpenAI API, Hugging Face Transformers, LangChain, LLaMA, or similar.

• Machine Learning

  : Solid understanding of NLP, embeddings, prompt engineering, and fine-tuning LLMs.

• Infrastructure

  : Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS / GCP / Azure).

• Databases

  : Familiarity with vector DBs (Pinecone, FAISS, ChromaDB) and relational DBs (PostgreSQL/MySQL).

• DevOps

  : Experience in CI/CD pipelines, Git, and model deployment best practices.
• Strong problem-solving skills and ability to work in fast-paced, agile environments.

Good to have

• Knowledge of agentic AI workflows and multi-agent orchestration.
• Exposure to security and compliance aspects in AI model deployment.
• Contributions to open-source AI projects.
• Experience in integrating AI with third-party tools/APIs

Why Join Us?

• Opportunity to work on next-gen AI products impacting real-world industries.
• Collaborative and innovative work culture.
• Continuous learning with access to latest AI research and tools.