Ai Ml Engineer

Dear Candidate,

Greetings from Calsoft Technologies!

I am reaching out regarding an exciting career opportunity at Calsoft Technologies a leading technology-first product engineering company with 25+ years of global experience.

ABOUT CALSOFT

Calsoft is a premier digital and product engineering services company, serving Fortune 500 clients across Storage, Cloud, AI/ML, Networking, Security, and Telecommunications domains. With offices spanning multiple countries and thousands of innovators, Calsoft is committed to solving complex business challenges through technology.

Learn more: https://www.calsoftinc.com

POSITION DETAILS

Position - AI/ML GenAI Engineer

Job Type - Permanent

Experience - 3+ Years

Location - Pune

Work Mode - Hybrid

ROLE OVERVIEW

We are looking for a hands-on AI/ML GenAI Engineer who can design and implement cutting-edge AI/ML solutions particularly leveraging Large Language Models (LLMs) and agentic workflows while translating complex business requirements into actionable technical architectures.

KEY SKILLS REQUIRED

Technical Skills:

AI Engineer

Were hiring an AI Engineer to build and scale production-grade AI and agentic systems that solve real business problems. This role is hands-on and engineering-heavy, focused on taking AI from prototype to reliable, governed production systems.

What Youll Do

• Build and deploy LLM-powered applications and agentic workflows (single & multi-agent).
• Design and implement RAG pipelines, embeddings, and vector search.
• Develop end-to-end ML/LLM pipelines from data ingestion to inference and monitoring.
• Productionize AI systems with cost controls, observability, and guardrails.
• Integrate AI solutions into enterprise workflows and platforms.
• Collaborate with product, platform, and governance teams to deliver responsible AI.

What Were Looking For

• 2+ years of experience in ML Engineering or Applied AI.
• Hands-on experience deploying LLM-based systems in production.
• Strong Python skills and experience with scalable systems.
• Experience with agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar).
• Solid understanding of RAG, vector databases, embeddings, and prompt optimization.
• Familiarity with MLOps, monitoring, and cost/performance trade-offs.

Nice to Have

• Experience in regulated or enterprise environments.
• Exposure to AI governance, explain ability, or risk controls.
• Background in document intelligence or NLP-heavy systems.

Why Join

• Build real AI systems, not demos.
• High ownership over architecture and implementation.
• Work on cutting-edge agentic AI with enterprise impact.
• Competitive compensation and strong growth opportunities.