Senior AI Engineer- Data

NewVision Software; Pune District; Hybrid; INR 900,000 - 1,300,000; Full time

Job summary

New Vision Softcom & Consultancy Pvt. Ltd. is seeking a Junior AI Engineer to design, build, and deploy AI agents and RAG-based retrieval solutions in a hybrid Pune office.

The role emphasizes scalable, production-grade AI on Azure, with multi-agent workflows and tool-calling, requiring frequent travel to Dubai for initial 3 months as per project needs. You will configure and optimize LLMs, integrate with APIs and databases, and contribute to CI/CD deployment.

Qualifications

• 4+ years of software engineering experience.
• Hands-on with Generative AI or AI agent development.

Responsibilities

• Develop and deploy AI agents and multi-agent workflows.
• Configure, optimize, and evaluate LLMs for business use cases.
• Design and implement RAG-based knowledge retrieval solutions.
• Integrate AI agents with APIs, databases, and enterprise applications.
• Build tool-calling and workflow automation capabilities.
• Monitor, test, and improve agent performance, reliability, and cost efficiency.
• Deploy AI solutions using Azure services and CI/CD practices.

Skills

LLM Applications

Prompt Engineering

Python

REST APIs

JSON/YAML

LangChain

LangGraph

Semantic Kernel

AutoGen / CrewAI

Azure Functions / App Services

Git/GitHub

Embeddings

Knowledge Retrieval

LangSmith

Prompt Flow

Microsoft Fabric

SQL & PySpark

ServiceNow

Jira

Salesforce

Teams integrations

LLMOps

AI Observability

GraphRAG

Fine-Tuning LLMs

AI Governance

Tools

Azure OpenAI

Job description

Company Name New Vision Softcom & Consultancy Pvt. Ltd

Function Business Units (BU)

Department/Practice AI & Analytics

Region APAC

Country India

Base office location Pune

Working model Hybrid

Weekly Off Pune office Standard

State Maharashtra

Skills

Skill

Graduation/Equivalent Course

CERTIFICATION

Working Language

Job Description

Junior AI Engineer with 4+ years of experience

This position needs travel to Dubai for 3 months initially and possible extension beyond that. T he candidate will have to be fine with frequent travel to Dubai as requested by the customer.

Overview

Design, develop, and deploy AI agents that automate business processes using Large Language Models (LLMs), agent orchestration frameworks, Retrieval-Augmented Generation (RAG), and enterprise integrations. The role focuses on building scalable, secure, and production-ready AI solutions on Azure.

Key Responsibilities

• Develop and deploy AI agents and multi-agent workflows.
• Configure, optimize, and evaluate LLMs for business use cases.
• Design and implement RAG-based knowledge retrieval solutions.
• Integrate AI agents with APIs, databases, and enterprise applications.
• Build tool-calling and workflow automation capabilities.
• Monitor, test, and improve agent performance, reliability, and cost efficiency.
• Deploy AI solutions using Azure services and CI/CD practices.

Must Have Skills

AI & GenAI

• LLM Applications (GPT, Claude, Llama, Gemini)
• Prompt Engineering

Programming

• Python
• REST APIs
• JSON/YAML

Agent Frameworks

• LangChain
• LangGraph
• Semantic Kernel
• AutoGen / CrewAI
• Azure Functions / App Services
• Git/GitHub

Data & Retrieval

• Embeddings and Knowledge Retrieval

Good to Have Skills

• LangSmith, Prompt Flow
• Microsoft Fabric
• SQL & PySpark
• ServiceNow, Jira, Salesforce, Teams integrations
• LLMOps and AI Observability

Nice to Have Skills

• GraphRAG
• Fine-Tuning LLMs
• AI Governance & Responsible AI

Behavioral Requirements

• Strong problem-solving and analytical skills.
• Excellent communication and stakeholder management.
• Ability to translate business requirements into AI solutions.
• Self-driven, innovative, and collaborative mindset.
• Experience working in Agile development environments.

Preferred Experience

• 4+ years of software engineering experience.
• 2+ years in Generative AI or AI agent development.
• Hands-on experience with Azure OpenAI and Agent Frameworks.
• Experience building production-grade RAG and AI automation solutions.