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Senior AI / ML Engineer – Agentic AI

Senior AI / ML Engineer – Agentic AI

GGS Information ServicesChennai, Tamil Nadu, India
2 days ago
Job description

About the Role

We are looking for a highly skilled and innovative AI / ML Engineer (Contract role) to join our Agentic AI and Generative AI (GenAI) development team. The ideal candidate will be hands-on in building and optimizing Multimodal RAG architectures, intelligent agents, and enterprise-grade GenAI automation systems .

This role offers a unique opportunity to work on next-generation Agentic AI frameworks , combining LLMs, multimodal retrieval, and automation pipelines for global enterprise use cases.

Key Responsibilities

  • Design, build, and deploy Multimodal RAG architectures and LangGraph-based Agentic AI systems for enterprise automation.
  • Develop and optimize chunking strategies, embedding pipelines , and vector database integrations (Vertex AI, PGVector, Pinecone).
  • Integrate LLMs (Gemini 2.5, Gemma, LLaMA 4, etc.) into GenAI workflows and automation pipelines.
  • Implement and maintain CI / CD pipelines , supporting MLOps / LLMOps frameworks for continuous delivery.
  • Collaborate with cross-functional teams to ensure scalable deployment on GCP (Vertex AI) platforms.
  • Continuously evaluate, monitor, and fine-tune models for precision, recall, relevance, faithfulness , and cost efficiency .
  • Contribute to the development of evaluation frameworks (e.g., RAGAS) and AI efficacy dashboards.

Required Skills & Experience

  • Minimum 4+ years of experience in AI / ML model development with a focus on GenAI, RAG, or Agentic AI systems.
  • Proven hands-on experience with :
  • Vector databases : PGVector, Pinecone, or similar
  • Multimodal data processing : text, image, audio embeddings and chunking
  • Embedding models and vector search optimization
  • Practical knowledge of LangChain, LangGraph , and LLMOps toolkits.
  • Familiarity with GCP Vertex AI or equivalent ML platforms.
  • Experience with CI / CD , MLflow , or other MLOps automation pipelines.
  • Exposure to prompt engineering, fine-tuning , and LLM model integration .

    • Good to Have

  • Bachelor’s or Master’s degree in Computer Science, AI / ML, Data Science , or related disciplines.
  • GCP / AWS / ML certifications are an advantage.
  • Contributions to open-source AI projects or publications in GenAI / RAG / Agentic AI domains.
  • Strong problem-solving ability and a mindset for rapid prototyping and experimentation .
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    Agentic Ai Engineer • Chennai, Tamil Nadu, India