AI Engineer – Generative AI & Agentic AI

SJ Mobilita

Bengaluru Urban

On-site

INR 2,500,000 - 4,500,000

Full time

14 days+
Application generator

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Job summary

SJ Mobilita is seeking a skilled AI Engineer to design, develop, and deploy production-ready AI applications. You will build scalable Generative AI and Agentic AI solutions using LLMs, RAG, and Azure AI services, collaborating with cloud and product teams to optimize performance and cost.

Responsibilities include implementing pipelines, integrating with OpenAI APIs and vector databases, and delivering robust AI copilots for enterprise use cases.

Qualifications

  • Extensive experience building generative AI and agentic AI solutions.
  • Hands-on with LLMs, RAG, Python, and Azure cloud technologies.
  • Develop production-ready AI applications with data ingestion, retrieval, and orchestration.
  • Familiarity with OpenAI APIs, AutoGen, MCP, and vector databases.

Responsibilities

  • Design and develop scalable Generative AI and Agentic AI solutions using LLMs.
  • Build AI apps with OpenAI APIs, AutoGen, RAG, and MCP.
  • Develop intelligent agents and multi-agent workflows for enterprise use cases.
  • Design and implement RAG pipelines including data ingestion, retrieval, ranking, and generation.
  • Collaborate with cloud, product, and engineering teams to deploy production-grade AI solutions.

Skills

Generative AI
LLMs
Agentic AI
Prompt Engineering
Python
REST APIs
Microservices
AI assistants / copilots

Tools

Docker
Kubernetes
CI/CD
Azure Functions
AKS
App Services
Azure AI Search
Pinecone
Milvus
Weaviate
Cosmos DB
Graph DB
Vector Databases
OpenAI APIs
AutoGen
MCP

Job description

AI Engineer – Generative AI & Agentic AI

We are looking for a highly skilled AI Engineer with strong hands‑on experience in Generative AI, LLMs, Agentic AI, RAG, Python, and Azure AI technologies.

The ideal candidate should be capable of designing, developing, optimizing, and deploying production‑ready AI applications using modern AI frameworks and Azure cloud technologies.

  • Design and develop scalable Generative AI and Agentic AI solutions using LLMs.
  • Build AI applications using OpenAI APIs, AutoGen, RAG, and MCP.
  • Develop intelligent agents and multi‑agent workflows for enterprise use cases.
  • Design and implement RAG pipelines, including data ingestion, retrieval, ranking, and response generation.
  • Work with structured, unstructured, and graph‑based data.
  • Integrate AI solutions with Azure AI Services, Azure OpenAI, Azure Cosmos DB, and Graph capabilities.
  • Develop high‑quality, scalable applications using Python.
  • Manage the complete lifecycle from design and development to testing, deployment, monitoring, and production support.
  • Optimize AI applications for latency, throughput, scalability, reliability, and resource utilization.
  • Troubleshoot production issues and continuously improve application performance.
  • Collaborate with engineering, product, and cloud teams to deliver production‑ready AI solutions.
Generative AI

LLMs, OpenAI, RAG, Agentic AI, AutoGen, MCP, Prompt Engineering

Programming

Python, REST APIs, Microservices, Software Development

Databases

Cosmos DB, Graph DB, Vector Databases, Similarity Search

Production

Deployment, Performance Optimization, Scalability, Monitoring, Troubleshooting

Good to Have

Docker, Kubernetes, CI/CD, Azure AI Search, Pinecone, Milvus, Weaviate

Candidates should have practical experience taking AI applications from development to production, with knowledge of:

  • Application and API deployment
  • Latency and performance optimization
  • Compute and memory optimization
  • Scalability and concurrency
  • Resource and cost optimization
  • Monitoring, logging, and debugging
  • Production troubleshooting
  • Reliable and maintainable AI services
Good to Have
  • Experience with Docker and Kubernetes
  • CI/CD and DevOps practices
  • REST APIs and Microservices
  • Azure Functions, AKS, or App Services
  • AI/ML model evaluation and observability
  • Experience with Azure AI Search, Pinecone, Milvus, Weaviate, or similar
  • Experience building enterprise AI assistants, copilots, or intelligent agents
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