AI Engineer – ML, LLM & Agentic AI

Ecolibrium; Bengaluru Urban; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Ecolibrium is seeking an experienced AI Engineer in Bengaluru to drive end-to-end AI initiatives. You will work across ML, LLMs, Agentic AI and production AI systems, building and evaluating models with modern frameworks and deploying scalable solutions.

You will own RAG pipelines, vector stores and tool-assisted development, using Claude Code and Cursor to accelerate progress while ensuring reliability and security of production systems.

Qualifications

• 5+ years of AI/ML engineering or related role.
• Strong ML and DL fundamentals with hands-on model work.
• Hands-on experience with LLMs, prompt engineering and tool calls.
• Experience with RAG, embeddings and vector search.
• Proficient in Python and APIs for production services.

Responsibilities

• Own AI initiatives end-to-end from problem definition to production.
• Translate product problems into measurable AI/ML solutions.
• Build/train/evaluate/deploy ML models using PyTorch or TensorFlow.
• Develop production-grade LLM apps and Agentic AI systems.
• Create RAG pipelines and vector search solutions.
• Apply PEFT/LoRA/QLoRA for fine-tuning and adaptation.
• Develop evaluation frameworks for ML/LLM systems.
• Build and monitor APIs and services around AI/ML models.

Skills

ML fundamentals

Deep Learning

Python programming

Problem solving

Independent work

System design

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Cloud deployment

AWS

Azure

GCP

Claude Code

Cursor

vector stores

pgvector

Qdrant

Milvus

Pinecone

Job description

We are looking for an AI Engineer who can build intelligent systems end-to-end, working across Machine

Learning, LLMs, Generative AI, Agentic AI, model development, fine-tuning and production AI systems. This is a

hands-on engineering role: you will take ambiguous problems, determine the right AI approach, build and

evaluate the solution, productionise it and continuously improve it.

The AI Engineer will use AI coding agents such as Claude Code and Cursor to accelerate development, while

owning the correctness, security, reliability and maintainability of everything shipped. This is an individual

contributor role requiring strong ML, LLM and Agentic AI fundamentals, production engineering discipline and

the ability to work independently with ambiguous requirements, and requires 5+ years of relevant experience.

THE WORK

Key Responsibilities

• Own AI initiatives end-to-end, from problem definition and experimentation through development,
• Translate real-world product problems into measurable AI/ML solutions, and determine whether a problem
• Build, train, evaluate and deploy ML models using modern frameworks such as PyTorch, TensorFlow and
• Build production-grade LLM applications, intelligent workflows and Agentic AI systems with planning,
• Build RAG pipelines, retrieval systems, embeddings and semantic search using vector stores such as
• Implement model fine-tuning and adaptation techniques, including PEFT, LoRA and QLoRA.
• Build evaluation frameworks for ML and LLM-based systems, and optimise for quality, latency, cost and
• Build APIs and production services around AI/ML models, and monitor systems in production to
• Deploy and operate AI/ML systems on AWS, Azure or GCP using Docker, Kubernetes and CI/CD pipelines. Use Claude Code, Cursor and other AI coding agents to increase engineering velocity, reviewing and owning

evaluation, production and continuous improvement.

requires ML, LLMs, RAG, fine-tuning, Agentic AI or a hybrid approach.

reasoning, tool use and multi-step execution.

pgvector, Qdrant, Milvus or Pinecone.

reliability.

continuously improve performance.

everything shipped.

WHAT WE'RE LOOKING FOR

Qualifications & Experience

• 5+ years of experience in AI/ML engineering or a closely related engineering role.
• Strong Machine Learning and Deep Learning fundamentals, with hands-on model development, training,
• Strong hands-on experience with LLMs, prompt/context engineering, structured outputs and function/tool
• calling.
• Hands-on experience with RAG architectures, embeddings and vector search.
• Hands-on Agentic AI experience, including agent orchestration, planning, tool calling and multi-step
• workflow design.
• Experience with model fine-tuning and parameter-efficient techniques such as PEFT, LoRA or QLoRA.
• Strong Python and software engineering fundamentals, with experience building APIs and production
• services around AI/ML models.
• Experience with Docker, Kubernetes and cloud deployment on AWS, Azure or GCP.
• Experience with Claude Code, Cursor or equivalent AI development tools.
• Strong problem-solving, system-design and debugging ability, with the ability to work independently with
• Experience building AI products from 0 to 1.
• IoT, energy, industrial or time-series data experience, including forecasting, anomaly detection or predictive
• analytics.
• Experience with AI observability and evaluation, and meaningful open-source contributions or independent