Senior AI/ML Engineer – Agentic AI

1 week ago


Chennai, India GGS Information Services Full time

About the RoleWe 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 ResponsibilitiesDesign, 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 & ExperienceMinimum 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 similarMultimodal data processing: text, image, audio embeddings and chunkingEmbedding models and vector search optimizationPractical 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 HaveBachelor’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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