Python AI Engineer

AI Engineer

Core Responsibilities:

• Develop, fine-tune, and deploy

  LLM-based solutions

  for conversational AI, smart content generation, and personalization.
• Design and implement workflows using

  LangChain

  ,

  LangGraph

  , and

  Vector Databases

  (e.g., Pinecone, Weaviate, FAISS).
• Collaborate with front-end/mobile teams to ensure smooth AI feature integration.
• Optimize AI inference for scalability and cost-efficiency (including edge deployment strategies).
• Develop modular and scalable API layers for AI model interaction (RESTful & GraphQL APIs).
• Research and prototype new AI capabilities, keeping up with trends in

  LLMs

  ,

  Multimodal AI

  , and

  AI on mobile platforms

  .

Must-Have Skills:

• 2+ years of experience in AI/ML development with a focus on

  LLM applications

  .
• Proficiency in

  LangChain

  ,

  LangGraph

  , and knowledge of

  RAG (Retrieval Augmented Generation)

  pipelines.
• Experience with

  Prompt Engineering

  , chain-of-thought prompting, and API orchestration.
• Hands-on experience with

  Generative AI models for image generation

  (Stable Diffusion, DALL·E, Mid Journey, or similar).
• Strong Python programming skills with experience in API integrations.
• Familiarity with cloud platforms (AWS, GCP, Azure) for deploying AI services.
• Knowledge of AI/ML Ops practices including model serving, monitoring, and optimization.

Benefits :

• 5 Day working
• On time salary
• inter- tech work
• Skill upgradation trainings
• Soft skills trainings
• Rewards and recognitions