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Gen AI Engineer (Microsoft Foundry)

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Onsite

Gen AI Engineer (Microsoft Foundry)

Bargad

Gen AI Engineer (Microsoft Foundry)

Skills

Deep LearningE-commerce WebsitesDockerPythonData SciencePostgreSQLMachine LearningAIGitHubNLP / Natural Language ProcessingFastAPIAzure

9 days ago

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Important information


Contract type:

Permanent, Internship

Location:

Maharashtra, India

Work mode:

Onsite

Published on:

17 October 2026

What they need


Bargad.ai is an advanced AI and Machine Learning (ML) based solution designed to detect and prevent identity fraud. It is a smart and flexible platform built for industries including Banking & Financial Services (BFSI), Social Media, Gaming, and E-Commerce.

We are looking for an Generative AI Engineer with a strong understanding of AI/ML, Large Language Models (LLMs), Small Language Models (SLMs), Retrieval-Augmented Generation (RAG), fine-tuning, and AI agents, with a particular focus on Microsoft Foundry.

Both freshers with strong fundamentals and experienced candidates with hands-on project experience are welcome to apply. The role and responsibilities will be aligned with the candidate's skills and experience.

  • Job Title: Gen AI Engineer
  • Location: Mumbai (Vikhroli)
  • Employment Type: Full-Time
  • Experience: Freshers & Experienced Candidates Can Apply
  • Working Mode: Work from Office
  • Time: 10:00 am to 7:00 pm (Mon - Sat)
  • Company name: Bargad.ai

Key Responsibilities:

  • Develop Generative AI applications using LLMs and SLMs.
  • Work with Microsoft Foundry to explore, configure, build, test, and deploy AI applications and agents.
  • Design and implement RAG pipelines, including document processing, chunking, embeddings, retrieval, and response generation.
  • Build AI agents using standard frameworks and Microsoft Foundry.
  • Develop agents capable of using tools, calling APIs, retrieving information, and executing defined workflows.
  • Work on model selection, prompt engineering, fine-tuning, and model evaluation.
  • Apply ML, Deep Learning (DL), and Natural Language Processing (NLP) techniques to real-world problems.
  • Develop AI-powered chatbots, knowledge assistants, and intelligent automation solutions.
  • Integrate AI models and agents with backend APIs, databases, and existing applications.
  • Evaluate AI responses for accuracy, relevance, governance, and performance.
  • Debug, optimize, and improve AI applications for reliability and scalability.
  • Collaborate with Product, Engineering, and Data Science teams to convert business requirements into AI solutions.
  • Support application deployment, testing, documentation, and production improvements.

Requirements:

  • Strong understanding of Generative AI, LLMs, and SLMs.
  • Good knowledge of Machine Learning, Deep Learning, and NLP concepts.
  • Detailed understanding of Microsoft Foundry, including its models, development environment, and agent-building capabilities.
  • Strong understanding of RAG architecture and end-to-end RAG pipeline implementation.
  • Knowledge of embeddings, vector databases, semantic search, and information retrieval.
  • Understanding of model fine-tuning, datasets, training approaches, and evaluation techniques.
  • Ability to create AI agents using standard frameworks and Microsoft Foundry.
  • Good knowledge of Python and REST API integration.
  • Understanding of prompt engineering, context management, and model limitations.
  • Strong problem-solving, analytical, and debugging skills.
  • Ability to learn new technologies and work independently on assigned tasks.
  • Good communication and teamwork skills.

Good to know:

  • Hands-on experience with Microsoft Foundry projects, model deployments, and agent development.
  • Familiarity with LangChain, LangGraph, LlamaIndex, or similar frameworks.
  • Experience with multi-agent systems, tool calling, and workflow orchestration.
  • Familiarity with Azure AI Search, vector databases, and document-processing pipelines.
  • Experience with FastAPI, PostgreSQL, Git/GitHub, and Docker.
  • Knowledge of AI application deployment, monitoring, security, and responsible AI practices.
  • Experience building enterprise AI solutions or BFSI applications is an advantage.

Who Can Apply:

  • Freshers: Candidates with strong AI fundamentals, relevant projects, practical implementations, or demonstrable Microsoft Foundry skills.Those who stays in Mumbai location.
  • Experienced candidates: Professionals with hands-on experience building, integrating, or deploying LLM applications, RAG pipelines, and AI agents.
  • Candidates with equivalent practical knowledge and project experience are encouraged to apply, even if their previous job title differs

Pay: ₹10,000.00 - ₹30,000.00 per month

Benefits:

  • Paid sick time
  • Paid time off

Application Question(s):

  • Do you have a certification of Microsoft Foundry ?
  • How much you rate yourself in building AI Agents ?
  • Where do you stay ? It is confirmable for you to travel daily to office ?

Work Location: In person

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