Python AI/ML Developer

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.