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 in Pune is hiring a Junior AI Engineer with 4+ years of software and AI experience. The role focuses on building scalable AI agents, integrating with enterprise systems, and deploying on Azure.

The position is hybrid from the Pune office, with travel to Dubai for an initial 3-month assignment and potential extensions. You will work in AI & Analytics, collaborating with stakeholders to translate business needs into practical AI solutions.

Qualifications

• Design, develop, and deploy AI agents and multi-agent workflows.

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

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

Azure Functions / App Services

Git / GitHub

SQL

PySpark

ServiceNow

Jira

Salesforce

Teams

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.