Gen AI Developer

4 days ago

Pune, Maharashtra, India Neova Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Role: Gen AI Developer

Total Experience: 6+ years in development with 2+ years in Gen AI development

Employment Type: Permanent & full time

Working Model: Hybrid (3 days work from office)

Job Summary:

We are seeking a Senior AI Developer with proven expertise in Generative AI technologies, a solid foundation in machine learning, and a strong understanding of data governance. The ideal candidate will have hands-on experience with both cloud-based LLM platforms, on-premise, open-source LLMs like Ollama, , and GGUF-based models. You should also have good knowledge in Model Context Protocol (MCP). You will help architect and implement GenAI-powered products that are secure, scalable, and enterprise-ready.

Key Responsibilities:

  • Design, build, and deploy GenAI solutions using both cloud-hosted and on-prem LLMs.
  • Work with frameworks like Hugging Face, LangChain, LangGraph, LlamaIndex to enable RAG and prompt orchestration.
  • Implement private LLM deployments using tools such as Ollama, LM Studio, , GPT4All, and vLLM.
  • Design retrieval-augmented generation (RAG) pipelines with context-aware orchestration using MCP.
  • Implement and manage Model Context Protocol (MCP) for dynamic context injection, chaining, memory management, and secure prompt orchestration across GenAI workflows.
  • Fine-tune open-source models for specific enterprise tasks and optimize inference performance.
  • Integrate LLMs into real-world applications via REST, gRPC, or local APIs.
  • Ensure secure data flows and proper context management in RAG pipelines.
  • Collaborate across data, product, and infrastructure teams to operationalize GenAI.
  • Incorporate data governance and responsible AI practices from design through deployment.

Required Skills and Qualifications:

  • 6+ years of experience in AI/ML; 2+ years working on GenAI initiatives.
  • Solid understanding of object-oriented programming and software design principles.
  • Experience working with at least one Generative AI framework (e.g., OpenAI, Hugging Face, Stable Diffusion).
  • Familiarity with ML libraries such as TensorFlow, PyTorch, or Transformers.
  • Experience with REST APIs, databases (SQL/NoSQL), and version control (Git).
  • Strong problem-solving and communication skills.

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