GenAI Engineer (GCP)

SNI is serving as a trusted IT Outsourcing partner in line with the needs of World's most prestigious firms and carried out successful projects worldwide.

Scope:

• Design, develop, and deploy cutting-edge Generative AI solutions using state-of-the-art LLMs and multimodal models

• Fine-tune and optimize large language models (LLMs) for domain-specific and enterprise use cases

• Build and implement GenAI-powered applications leveraging NLP, agentic workflows, and orchestration frameworks like LangChain and LangGraph

• Develop scalable, production-ready AI systems on GCP, using services such as Vertex AI, BigQuery, and Cloud Run

• Design and implement Retrieval-Augmented Generation (RAG) pipelines with vector databases like FAISS or Pinecone

• Work with distributed computing tools and data pipelines to process large-scale datasets efficiently

• Collaborate with cross-functional teams to translate business requirements into AI-driven solutions

• Lead or contribute to R&D initiatives to explore emerging trends in Generative AI and LLMOps

• Ensure best practices in MLOps / LLMOps, including CI/CD, monitoring, versioning, and governance of AI models

Skills:

• 4+ years of experience in AI/ML, with a focus on Generative AI

• Strong Python skills; experience with Hugging Face Transformers, LangChain, and LangGraph

• Solid knowledge of LLM fine-tuning, RLHF, and prompt engineering

• Hands-on experience with Google Cloud Platform (especially Vertex AI) and cloud-native deployments

• Understanding of MLOps / LLMOps (CI/CD, pipelines, monitoring)

• Experience with data pipelines, ETL, vector databases, and RAG architectures

• Familiarity with Git and collaborative development workflows

• Strong problem-solving and communication skills, including client-facing experience

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