Gen AI Engineer

2 weeks ago

Bengaluru, Karnataka, India SWITS DIGITAL Private Limited Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Title:
Gen AI Engineer ( ML )

Location:
Bangalore, Pune

Experience:
6-15 Years

Roles & Responsibilities

  • Lead the design, development, and deployment of GenAI applications using frameworks such as LangChain, LlamaIndex, HuggingFace Transformers.
  • Architect and implement RAG pipelines, agentic systems, and MCP-based integrations.
  • Drive QLoRA-based fine-tuning and quantization for domain-specific tasks.
  • Ensure AI governance, compliance, and responsible use of generative AI solutions.
  • Evaluate, benchmark, and integrate open-source and proprietary LLMs for enterprise-grade use cases.
  • Collaborate with cross-functional teams including data engineers, backend developers, and product stakeholders.
  • Mentor junior engineers, fostering growth in prompt engineering, model experimentation, and best practices.
  • Stay ahead of emerging research and incorporate the latest advancements in LLMs, embeddings, multimodal models, and vector databases.

Required Skills

  • 6+ years in software/ML engineering, with 2+ years focused on Generative AI.
  • Deep expertise in RAG, MCP, agentic architectures, and LLMs.
  • Strong proficiency in Python and leading AI frameworks (LangChain, LlamaIndex, HuggingFace).
  • Proven hands-on experience with QLoRA fine-tuning and inference optimization.
  • Solid knowledge of AI governance frameworks, compliance, and ethical AI practices.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
  • Exceptional communication and leadership skills, with the ability to mentor teams and articulate complex concepts clearly.

Preferred Qualifications

  • Prior work with multi-agent systems, memory-based agents, or frameworks such as CrewAI, AutoGen, LangGraph.
  • Experience with multimodal models (text-to-image/video/audio).
  • Research publications or open-source contributions in the GenAI ecosystem.
  • Demonstrated thought leadership in emerging AI technologies and enterprise adoption.

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