AI/ML Developer

AI/ML Developer

Location: Pune, Maharashtra
Experience: 6–9 Years
Notice Period: Immediate to 45 Days(525)

Role Summary

We are looking for an experienced AI Engineer to design, develop, and scale production-grade AI and Generative AI applications.

The role involves building LLM-powered applications, RAG pipelines, agentic systems, automation workflows, APIs, and enterprise integrations. The ideal candidate should have strong software engineering fundamentals, hands-on AI/GenAI experience, and excellent communication skills.

Key Responsibilities

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  Design, develop, and deploy end-to-end AI and GenAI applications.

  
  


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  Build and integrate LLM-powered applications, RAG pipelines, AI agents, and automation workflows.

  
  


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  Develop scalable APIs and microservices for AI solutions.

  
  


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  Design and implement robust data pipelines and retrieval systems.

  
  


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  Work on prompt engineering, model evaluation, and performance optimization.

  
  


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  Build reliable and scalable AI services suitable for production environments.

  
  


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  Implement observability, monitoring, and reliability practices for AI applications.

  
  


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  Work with distributed systems and cloud-based architectures.

  
  


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  Collaborate with technical and business stakeholders to develop AI-driven solutions.

  
  


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  Contribute to system design, engineering best practices, and technical documentation.

  
  


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  Mentor junior engineers and support knowledge-sharing initiatives.

  
  

Must-Have Skills

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  5+ years of relevant professional experience in software engineering and/or AI roles.

  
  


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  Strong hands-on programming experience in Python or JavaScript/TypeScript

  
  


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  Practical 4+yrs of work experience working with Large Language Models (LLMs),RAG

  
  


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  Hands-on experience building RAG pipelines.

  
  


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  Experience with AI/ML frameworks and libraries.

  
  


• Strong and in depth work experience with APIs, microservices, and databases (SQL/NoSQL)


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  Strong understanding of Artificial Intelligence and Machine Learning concepts.

  
  


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  Experience building and integrating APIs and microservices.

  
  


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  Experience working with distributed systems.

  
  


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  Familiarity with Kubernetes and Docker.

  
  


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  Experience with CI/CD pipelines and DevOps practices.

  
  


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  Hands-on experience with at least one cloud platform: AWS, Azure, or GCP.

  
  


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  Excellent verbal and written communication skills.

  
  


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  Strong problem-solving and collaboration skills.

  
  

Nice-to-Have Skills

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  Experience with agentic AI and agent frameworks such as:

  
  
  
  
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    LangGraph

    
    
  
  
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    Semantic Kernel

    
    
  
  
  
  


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  Knowledge of vector databases.

  
  


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  Understanding of hybrid search and advanced retrieval techniques.

  
  


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  Strong knowledge of system design, scalability, and performance tuning.

  
  


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  Experience with enterprise system integrations, such as:

  
  
  
  
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    CRM

    
    
  
  
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    ERP

    
    
  
  
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    ITSM

    
    
  
  
  
  


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  Experience designing production-grade AI platforms and services.

  
  


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  Knowledge of AI application observability, evaluation, and monitoring.

  
  

Keywords shuld be highlighted in resume:

AI Engineer | Generative AI | GenAI | LLM | Large Language Models | RAG | AI Agents | Python | TypeScript | Machine Learning | APIs | Microservices | Kubernetes | Docker | CI/CD | AWS | Azure | GCP | Vector Database | Hybrid Search