Location: HSR Layout, Bangalore

Experience: 3+ Years

Work Mode: Hybrid

Role Overview Looking for an experienced AI Developer with hands-on expertise in Generative AI, LLMs, RAG, AI Agents, and Machine Learning to build and deploy scalable AI solutions.

Required Skills
Solid experience in Python, AI/ML, and Deep Learning.
Hands-on experience with Generative AI, LLMs, Prompt Engineering, and RAG pipelines.
Experience with LangChain, LangGraph, AI Agents, Vector Databases, and Embeddings.
Knowledge of LLM models like OpenAI, LLaMA, Mistral, BERT, Claude, Qwen.
Experience with FastAPI/Flask, REST APIs, SQL databases.
Understanding of NLP, Model Evaluation, Docker, Git, and Cloud deployment (AWS/Azure).

Responsibilities
Develop and deploy GenAI and LLM-based applications.
Build RAG-based solutions and AI Agent workflows.
Integrate AI models with enterprise applications through APIs.
Optimize AI solutions for performance, accuracy, and scalability.




Own end-to-end AI feature development.

Preferred: Experience with AI chatbots, automation solutions, enterprise AI projects, and production-level GenAI applications. Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.

Responsibilities [Be specific when describing each of the responsibilities. Use gender-neutral, inclusive language.]

Example: Determine and develop user requirements for systems in production, to ensure maximum usability

Qualifications [Some qualifications you may want to include are Skills, Education, Experience, or Certifications.]

Example: Excellent verbal and written communication skills

Skills: cloud,learning,enterprise,models,azure,automation,aws,skills,agents,databases

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