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At COMMANDO, you’ll build next-generation Generative AI solutions by developing LLM- and RAG-based systems that redefine how information is retrieved, processed, and generated. This role demands solid technical expertise, creative problem-solving, and a curious mindset to apply Large Language Models to real-world challenges, designing and optimizing scalable AI architectures for impactful outcomes.

Key Roles:
Design and optimize RAG and Generative AI systems for production.
Develop LLM pipelines, and integrate APIs.
Implement vector search with databases and deploy AI systems.
Ensure scalability, reliability, and performance through monitoring and evaluation.
Research and innovate in LLM fine-tuning, prompt engineering, and emerging tools.

Ideal Candidate:
Solid proficiency in Python and Generative AI frameworks.
Solid understanding of RAG, embedding models,



and retrieval workflows.
Ability to build, deploy, and monitor production-grade AI services and APIs.
Analytical mindset with expertise in data structures, algorithms, and applied machine learning.

Primary Skills:
Python Programming
Generative AI
RAG Architectures
Prompt Engineering
AI Deployment

Secondary Skills:
Containerization
Linux Environments
LLM Fine-Tuning

Pay: ₹500,000.00 - ₹900,000.00 per year

Ability to commute/relocate
Mahape, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred)

Experience:
AI deployment: 2 years (Preferred)
RAG: 2 years (Preferred)

Work Location: In person

📌 Ai Engineer Mahape
🏢 Commando Networks
📍 Mahape