Dhayari Pune Maharashtra Ai developer Jobs – 1360 Open Jobs Today

AI/ML Developer
Decision Management Solutions —Pune, Maharashtra
- ₹12,00,000 - ₹14,00,000 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Databases
- Paid time off
- Cell phone reimbursement
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5d
Python Developer
Diginnovators Solutions Private Limited —Pune, Maharashtra
- ₹5,00,000 - ₹7,00,000 a year
- Full-time
- Computer Science
- Analysis skills
- Bachelor's degree
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Python Gen AI Developer
Infosys Limited —Pune, Maharashtra
- Agile
- AI
- Python
13d
Generative AI Developer
Muks Robotics AI Pvt.Ltd. —Baner, Pune, Maharashtra
- Full-time
- Computer Science
- Master's degree
- AWS
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13d
Website Developer
Aliv Regenerative Wellness —Pune, Maharashtra
- ₹25,000 - ₹35,000 a month
- Full-time
- JavaScript
- In-person
- AI
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AI/ML Developer
WebMobril Technologies Pvt. Ltd. —Pune, Maharashtra
- ₹10,00,000 - ₹17,00,000 a year
- Full-time
- Machine learning
- APIs
- In-person
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AI Native Developer Intern
MagicWorks IT Solutions Pvt Ltd —Bavdhan, Pune, Maharashtra
- Online application
- SQL
- Machine learning
- JavaScript
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4d
AI Native Developer
Career Path HR Solution —Pune, Maharashtra
- ₹15,00,000 a year
- Full-time
- Software troubleshooting
- Machine learning
- APIs
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Developer, AI
Magna International —Pune, Maharashtra
- Full-time
- Azure
- SQL
- APIs
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AI Tester
Dimakh Consultants —Pune, Maharashtra
- Computer Science
- Analysis skills
- Bachelor's degree
Agentic AI Developer
PinnacleU —Pune, Maharashtra
- ₹20,00,000 - ₹22,00,000 a year
- Full-time
- Master's degree
- Databases
- APIs
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SQL Developer
Fiddle Leaf Solutions —Pune, Maharashtra
- From ₹5,00,000 a year
- Full-time
- Hybrid work
- SQL
- AI
- Commuter assistance
- Paid time off
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Generative AI Developer
IT Shastra —Pune, Maharashtra
- Computer Science
- Master's degree
- Databases
AI Developer / Engineer
Dimakh Consultants —Pune, Maharashtra
- Azure
- Computer Science
- DevOps
Agentic AI Developer - Pune
EDMO —Pune, Maharashtra
- ₹15,00,000 - ₹22,00,000 a year
- Full-time
- Hybrid work
- Master's degree
- Databases
- Bachelor's degree
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GEN AI
WebMobril Technologies Pvt. Ltd. —Pune, Maharashtra
- ₹9,00,000 - ₹12,50,000 a year
- Full-time
- Hybrid work
- Azure
- Databases
- AWS
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14d
SQL Developer
ZecData Technology —Pune, Maharashtra
- ₹10,00,000 - ₹19,00,000 a year
- Full-time
- Microsoft Excel
- Computer Science
- Software troubleshooting
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4d
FRONTEND DEVELOPER
nCircle Tech —Pune, Maharashtra
- Full-time
- CAD
- JavaScript
- AI
6d
Frontend Developer
Mobikon —Pune, Maharashtra
- Computer Science
- JavaScript
- APIs
Quick apply
Gen AI Developer
Barclays —Pune, Maharashtra
- AI

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AI/ML Developer

Decision Management Solutions
Pune, Maharashtra

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Job details

Full-time
₹12,00,000 - ₹14,00,000 a year
5 days ago

Benefits

Provident Fund
Paid time off
Cell phone reimbursement
Paid sick time

Qualifications

BCS
CI/CD
Node.js
Law
Computer Science
React
PyTorch
Git
Master's degree
Databases
AWS
Bachelor's degree
Neo4j
Continuous integration
Back-end development
REST
Natural language processing
Software development
GitHub
APIs
S3
AI
Graph databases
Python
Information Technology

Full job description

Job Title: AI/ML Developer
Company: Blue Polaris (formerly Decision Management Solutions)
Location: Pune District, Maharashtra, India (Hybrid)
Employment Type: Full-time
Seniority: Mid-level (3–5 years experience)

About Blue Polaris

Blue Polaris is a technology firm with a subsidiary based in Pune, India, focused on building enterprise-grade AI solutions for decision management, banking, and business automation. We develop custom AI systems that go beyond off-the-shelf tooling — including multi-agent pipelines, RAG-based knowledge systems, and LLM-integrated applications for real clients. We're a small, high-output team and the work here is hands-on from day one.

About the Role

We are looking for a mid-level AI/ML Developer to join our Pune team and contribute to the development of intelligent, production-ready AI systems. You'll work primarily on building and integrating AI models — LLMs, RAG pipelines, multi-agent architectures — while also contributing to the backend and frontend layers needed to bring those systems to life. This is a builder role; you'll be expected to take ownership of features end to end.

Key Responsibilities

Design, develop, and deploy AI-powered applications using Python, integrating LLMs, RAG systems, and multi-agent frameworks
Build and optimise NLP pipelines, including fine-tuning, prompt engineering, and retrieval-augmented generation
Develop and maintain backend APIs (FastAPI/Node.js) to expose AI models and connect them to frontend interfaces
Work with vector databases (Qdrant, FAISS, Neo4j) and embedding models to support knowledge retrieval systems
Collaborate with cross-functional teams to integrate AI components into scalable, production-ready applications
Contribute to MLOps practices including model versioning, monitoring, and deployment workflows
Stay current with developments in GenAI, agentic AI, and open-source LLM tooling

Required Skills & Qualifications

3–5 years of hands-on software development experience, with at least 2 years focused on AI/ML
Strong Python proficiency — you write clean, production-quality code
Practical experience with LLMs and GenAI frameworks: LangChain, LangGraph, Hugging Face Transformers, or similar
Experience building RAG systems or multi-agent AI pipelines
Familiarity with NLP concepts: embeddings, token classification, text generation, semantic search
Backend development experience with FastAPI, REST APIs, or Node.js
Basic frontend capability (React.js or similar) sufficient to build interfaces for AI tools
Experience with vector databases or graph databases (Qdrant, FAISS, Neo4j, or similar)
Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience)

Nice to Have

Experience with PyTorch — custom model training, fine-tuning (PEFT, LoRA, QLoRA), or ONNX optimisation
Familiarity with IBM WatsonX, WatsonX Orchestrate, or WatsonX Assistant
MLOps or LLMOps experience: model monitoring, CI/CD for ML pipelines, deployment tooling
Exposure to cloud platforms: AWS (S3, EC2, SageMaker) or equivalent
Experience with BPMN or workflow automation concepts

Pay: ₹1,200,000.00 - ₹1,400,000.00 per year

Benefits:

Cell phone reimbursement
Paid sick time
Paid time off
Provident Fund

Application Question(s):

What is your current notice period as per your employment contract?
What is your current CTC (Cost to Company) per annum in INR, and what are your salary expectations for this role?
Briefly describe an AI/ML application or system you have built end-to-end — from problem definition through to deployment. What was your specific role and what tech stack did you use?
Have you worked with Large Language Models (LLMs) or Generative AI in a professional setting? If yes, describe the use case and how you integrated the model into an application.
What is RAG (Retrieval-Augmented Generation) and have you built a RAG pipeline? If yes, what vector database or retrieval mechanism did you use and why?
Describe your experience with Python for AI/ML development. What libraries and frameworks do you use regularly, and can you give an example of a complex problem you solved using Python?
Have you worked with multi-agent AI systems or agentic frameworks such as LangGraph, CrewAI, or AutoGen? If yes, describe the architecture you built and the problem it solved.
What is your experience with NLP tasks such as text classification, named entity recognition, semantic search, or language translation? Describe a specific NLP project you worked on.
Describe your experience building backend APIs for AI applications. What frameworks have you used and how did you expose an AI model as a service?
Have you worked with any frontend technologies such as React.js, Streamlit, or Gradio to build interfaces for AI systems? Describe what you built and its purpose.
Describe your experience with model fine-tuning, prompt engineering, or any form of model customisation. What approach did you take and what was the outcome?
How do you stay current with developments in AI and machine learning? Mention any recent development, paper, tool, or technique you have explored in the last 3–6 months.
Describe a situation where an AI model or system you built did not perform as expected. What went wrong, how did you diagnose the issue, and what did you do to fix it?
Are you currently based in Pune, Maharashtra? If not, are you open to relocating, and what would your timeline for relocation be?
Do you have a GitHub profile, portfolio, or any publicly available work such as research papers, open-source contributions, or personal projects that you would like to share? If yes, please provide the links.

Work Location: Hybrid remote in Pune, Maharashtra (Pune, Pune District)

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