Gen AI Engineer

Advance Career Solutions; Bengaluru; Hybrid; INR 1,800,000 - 4,200,000; Full time

Job summary

Advance Career Solutions in Bengaluru is seeking a senior AI engineer to build GenAI/LLM-based solutions. You will work hands-on with prompt engineering, RAG architectures, vector databases, and AI agents to deliver production-ready capabilities.

You will configure and consume Azure OpenAI models, expose solutions via REST APIs in containerized environments, and integrate with Azure services for search, storage, and workflow automation.

Qualifications

• Experience building GenAI/LLM solutions on Azure is required.
• Strong prompt engineering and RAG implementation experience.
• Familiarity with vector databases and AI agents.
• Hands-on with LangGraph/LangChain for agent orchestration.
• Experience deploying AI models via REST APIs in containerized environments.
• Knowledge of Azure OpenAI models (GPT-4o, embeddings) and Azure services.
• Experience with ML, RL, model validation, and performance forecasting.
• Ability to evaluate, monitor, and implement responsible AI controls.

Skills

GenAI/LLM

Prompt engineering

RAG architectures

Vector databases

AI agents

LangChain

LangGraph

Azure OpenAI

REST API

Containerized deployment

Agent frameworks

Orchestration

Multi-agent

Machine learning

Reinforcement learning

Model validation

Forecasting

Retrieval Augmented Generation

Evaluation

Monitoring

Guardrails

Responsible AI

Azure services

Cosmos DB

Functions

Logic Apps

API Management

Fine-tuning

Model optimization

CI/CD

Job description

• Experience in building and deploying GenAI/LLM-based solutions using Azure AI Foundry.
• Hands-on work with Prompt Engineering, RAG architectures, Vector Databases, and AI Agents.
• Experience in creating agents using LangGraph/Langchain
• Experience in configuring and consuming Azure OpenAI models (GPT-4o, embeddings, etc.).
• Experience on deploying AI solutions, exposing solutions as REST API in containerized solutions
• Knowledge of Agentic AI frameworks, orchestration, and multi-agent solutions.
• Hands on experience with Machine Learning, Reinforcement Learning, Model Validation & Performance Evaluation, Statistical Modeling & Forecasting
• Adept at using Prompt Engineering and Retrieval Augmented Generation
• Experience with evaluation, monitoring, guardrails, and responsible AI controls.
• Integration with Azure services such as AI Search, Cosmos DB, Functions, Logic Apps, and API Management.
• Experience in fine-tuning/customization, model selection, and performance optimization.
• Exposure to CI/CD, deployment, and productionization of AI solutions.