AI Engineer

F22 Labs; Bengaluru; Hybrid; INR 1,000,000 - 2,000,000; Full time

Job summary

A leading AI solutions provider in Bengaluru is looking for an experienced AI Engineer to join their Applied AI team. The role requires 2–5 years of experience in implementing production-ready AI/ML solutions, particularly in building autonomous AI agents and deploying machine learning models using technologies like Docker and Kubernetes. Candidates must be proficient in Python and SQL and familiar with various tools for AI development. Interested applicants should send their CV to the provided email address.

Qualifications

• 2–5 years of experience in building and deploying production-ready AI/ML solutions.
• Strong expertise in LLMs, AI agents, RAG architectures, and MLOps.
• Knowledge of security, compliance, testing frameworks, and production monitoring for AI systems is an added advantage.

Responsibilities

• Design autonomous AI agents and multi-agent workflows.
• Build data pipelines, vector database integrations, and enterprise AI solutions.
• Deploy models using cloud platforms.

Skills

Python

SQL

LangChain/LangGraph

LlamaIndex

PyTorch/TensorFlow

FastAPI

Pinecone

Weaviate

FAISS

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

AI Engineer | Bangalore | 2–5 Years | Hybrid

We are hiring an AI Engineer for our Applied AI team in Bangalore. The ideal candidate will have 2–5 years of experience in building and deploying production-ready AI/ML solutions, with strong expertise in LLMs, AI agents, RAG architectures, and MLOps.

Responsibilities

• Design autonomous AI agents and multi-agent workflows.
• Build data pipelines, vector database integrations, and enterprise AI solutions.
• Deploy models using Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP.

Qualifications

• Strong proficiency in Python, SQL, LangChain/LangGraph, LlamaIndex, PyTorch/TensorFlow, FastAPI, and vector databases such as Pinecone, Weaviate, or FAISS.
• Experience with RAG, prompt engineering, agent orchestration, cloud deployment, CI/CD, MLflow, and enterprise integrations (APIs, CRM/ERP systems) is highly preferred.
• Knowledge of security, compliance, testing frameworks, and production monitoring for AI systems is an added advantage.

Location & Mode

• Bangalore
• Hybrid

Other Details

Interested candidates can share their updated CV to: [e-mail].