Ai ML Engineer

Infobell It Solutions; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Infobell It Solutions in Bengaluru is seeking an AI/ML Engineer with at least 2 years of hands-on experience to build and deploy AI-powered applications using Generative AI, LLMs, and RAG. You will implement AI agents, integrate with external APIs and vector stores, fine-tune prompts, and develop scalable backend services in Python, collaborating with cross-functional teams.

A strong grasp of MLOps, REST APIs, and modern frameworks like LangChain and Weaviate is highly desirable.

Qualifications

• 2+ years in AI/ML development
• Strong Python programming
• Hands-on with Generative AI applications
• Experience with Large Language Models (LLMs)
• Strong understanding of RAG architecture
• Experience building Agentic AI workflows and autonomous AI agents
• Knowledge of prompt engineering and LLM optimization
• Experience with AI orchestration frameworks (LangChain, LlamaIndex, LangGraph, CrewAI)
• Experience with vector databases (Pinecone, Milvus, ChromaDB, FAISS, Weaviate)
• Familiarity with REST APIs and model integration
• Understanding of ML fundamentals and model evaluation
• Experience with Git and collaborative workflows

Responsibilities

• Design, develop, and deploy AI applications using LLMs.
• Build and optimize RAG pipelines.
• Develop AI agents using modern Agentic AI frameworks.
• Integrate LLMs with external APIs, databases, vector stores, and enterprise apps.
• Fine-tune prompts and optimize LLM performance for production.
• Develop scalable backend services using Python.
• Work with vector databases for semantic search and knowledge retrieval.
• Evaluate, monitor and improve AI model performance.
• Collaborate with cross-functional teams to design AI-driven solutions.
• Stay updated with Generative AI and ML advancements.

Skills

Python

Generative AI

LLMs

RAG

Agentic AI

Prompt engineering

LangChain

LlamaIndex

LangGraph

CrewAI

Pinecone

Milvus

ChromaDB

FAISS

Weaviate

REST APIs

Git

Education

Bachelor’s or Master’s in CS/AI/DS

Tools

LangChain

LlamaIndex

LangGraph

CrewAI

Pinecone

Milvus

ChromaDB

FAISS

Weaviate

FastAPI

Flask

Job description

Experience: 2+ Years

Location: Bangalore (Work from Office)

Employment Type: Full-Time

Job Summary

We are looking for a passionate AI/ML Engineer with 2+ years of experience in building and deploying AI-powered applications using Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. The ideal candidate should have strong Python programming skills and hands-on experience developing intelligent AI solutions for real-world use cases.

Key Responsibilities

• Design, develop, and deploy AI applications using Large Language Models (LLMs).
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
• Develop AI agents using modern Agentic AI frameworks.
• Integrate LLMs with external APIs, databases, vector databases, and enterprise applications.
• Fine-tune prompts and optimize LLM performance for production use cases.
• Develop scalable backend services using Python.
• Work with vector databases for semantic search and knowledge retrieval.
• Evaluate, monitor, and improve AI model performance.
• Collaborate with cross-functional teams to design AI-driven solutions.
• Stay updated with the latest advancements in Generative AI and machine learning.

Required Skills

• 2+ years of experience in AI/ML development.
• Strong programming skills in Python.
• Hands-on experience with Generative AI applications.
• Experience working with Large Language Models (LLMs).
• Strong understanding of Retrieval-Augmented Generation (RAG) architecture.
• Experience building Agentic AI workflows and autonomous AI agents.
• Knowledge of prompt engineering and LLM optimization.
• Experience with AI orchestration frameworks such as LangChain, LlamaIndex, LangGraph, or CrewAI.
• Experience with vector databases such as Pinecone, Milvus, ChromaDB, FAISS, or Weaviate.
• Familiarity with REST APIs and model integration.
• Understanding of machine learning fundamentals and model evaluation.
• Experience with Git and collaborative development workflows.

Good to Have

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of Docker and Kubernetes.
• Experience with FastAPI or Flask.
• Familiarity with Hugging Face Transformers.
• Experience with model deployment and MLOps.
• Exposure to fine-tuning open-source LLMs.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.