AI/ML Engineer

Lakkshions IT Private Limited; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A technology solutions company in Hyderabad is looking for an Agentic AI Engineer to design and deploy production-grade AI agents. The ideal candidate will have over 4 years of experience in AI/ML Engineering, strong skills in Python, and experience with LLMs and MLOps practices. Responsibilities include building agentic systems, productionizing models, and monitoring AI performance in production environments. Strong knowledge of Docker and Kubernetes is necessary.

Qualifications

• Minimum 4 years of experience in AI/ML Engineering.
• Strong understanding of ML fundamentals and Python.
• Hands-on experience with LangChain, LlamaIndex, AutoGen, CrewAI is preferred.

Responsibilities

• Design and deploy production-grade AI agents.
• Build agentic AI systems including planning and memory.
• Productionize models and monitor performance.

Skills

Python

Machine Learning fundamentals

MLOps best practices

Deployment using Docker

Kubernetes

Cloud platforms (AWS / Azure / GCP)

LLMs & Agent frameworks

Multi-agent systems

Reinforcement learning

DevOps

Job description

LAKKSHIONS IT PRIVATE LIMITED AI ML with MLops JD

Are you excited about building autonomous AI systems that can reason, plan, and act in real-world environments?

We’re looking for an Agentic AI Engineer to design and deploy production-grade AI agents powered by modern ML and LLM stacks.

What You’ll Do

• Build agentic AI systems (planning, tool usage, memory, orchestration)
• Productionize models using MLOps best practices
• Deploy and scale using Docker, Kubernetes, and Cloud platforms
• Monitor model performance, drift, and reliability in production

What We’re Looking For

• 4+ years experience in AI/ML Engineering
• Strong Python and ML fundamentals
• Hands-on experience with LLMs & Agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, etc.)
• Cloud experience (AWS / Azure / GCP)

Nice to Have

• Multi-agent systems or reinforcement learning
• DevOps or platform engineering background