Python AI/ML Developer

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About the Role

We are seeking a highly skilled and passionate Python AI Developer to join our growing team. The ideal candidate will have strong experience in backend development using Flask, Django, or FastAPI, along with hands-on expertise in AI/ML model integration, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) architectures.

You’ll work on building scalable backend systems, AI-driven applications, and intelligent APIs by leveraging OpenAI, LangChain, Hugging Face, and other leading AI frameworks.

Key Responsibilities

• Backend Development: Design, develop, and deploy scalable backend systems using Flask, Django, or FastAPI.
  
• AI/ML Model Integration: Build and integrate AI/ML models, including LLMs for NLP and automation use cases.
  
• RAG Pipelines: Implement Retrieval-Augmented Generation architectures with vector databases (Pinecone, FAISS, Chroma, Weaviate).
  
• AI Ecosystem Integration: Work with tools such as OpenAI, Hugging Face, LangChain, and LlamaIndex to develop advanced AI applications.
  
• API Development: Develop and manage RESTful and GraphQL APIs for seamless system integrations.
  
• Optimization & Scalability: Enhance performance, ensure data security, and maintain reliability of production systems.
  
• Cross-functional Collaboration: Work closely with data scientists, frontend developers, and product teams to deliver end-to-end AI solutions.
  
• Research & Innovation: Explore emerging AI frameworks, libraries, and tools to drive continuous innovation.
  

Required Skills & Qualifications

• Programming

  : Strong proficiency in Python.

• Frameworks

  : Hands-on experience with Flask, Django, and FastAPI.

AI/ML Tools & Frameworks:

• Expertise with OpenAI API, LangChain, Hugging Face.
  
• Knowledge of RAG pipelines and vector databases (Pinecone, FAISS, Chroma, Weaviate).
  
• Experience with LlamaIndex or similar AI orchestration tools.
  

• Databases

  : Proficiency with PostgreSQL, MySQL, MongoDB, Redis.

• Cloud & DevOps:

  Experience with AWS, Azure, or GCP; familiarity with Docker and Kubernetes preferred.

• Version Control:

  Proficient in Git/GitHub or GitLab.

• Architecture

  : Strong understanding of RESTful APIs, microservices, and JSON-based integrations.

• Education

  : Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field.

• AI Expertise

  : Experience with prompt engineering, fine-tuning LLMs, and MLOps practices.

Soft Skills

• Strong analytical and problem-solving mindset.
  
• Excellent communication and collaboration skills.
  
• Team-oriented with a proactive and innovative approach.
  
• Passionate about exploring and implementing emerging AI technologies.