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 (Gen AI) development team. The ideal candidate will be hands-on in building and optimizing Multimodal RAG architectures, intelligent agents, and enterprise-grade Gen AI 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 Lang Graph-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, LLa MA 4, etc.) into Gen AI 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 Gen AI, 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 Lang Chain, Lang Graph, 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 Gen AI / RAG / Agentic AI domains.- Strong problem-solving ability and a mindset for rapid prototyping and experimentation.



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