Generative AI Engineer at Sia

About the Role

We are seeking a skilled Generative AI Engineer to join our team, where you will harness model capabilities to implement cutting-edge algorithms and solutions across various industries. You will serve as a pivotal link between Data Scientists, ML, and Platform Engineers to unleash the potential of Generative AI technology.

Key Responsibilities

• →Build applications powered by LLMs (OpenAI, Claude, Mistral, etc.) using LangChain, LlamaIndex, and related GenAI frameworks.
• →Implement RAG pipelines with vector DBs (Pinecone, FAISS, pgvector, ChromaDB) for grounding LLM responses with internal knowledge
• →Develop multimodal AI solutions (text, audio, image) and build autonomous agents where relevant.
• →Drive MLOps excellence: CI/CD (ML pipelines), drift detection, canary releases, retraining schedules.
• →Design robust and reusable prompt templates using CoT, ReAct, Graph-of-Thought, and Agent flows.
• →Continuously improve model reliability, relevance, and UX by tuning prompt flows
• →Deploy GenAI models on AWS/GCP/Azure using services like SageMaker, Bedrock, Vertex AI
• →Ensure performance observability, security guardrails, and compliance (GDPR, Responsible AI)
• →Work with DevOps teams to integrate GenAI solutions into microservices and APIs (FastAPI/Flask)
• →Benchmark open-source and commercial LLMs for use-case fit and cost-performance tradeoffs
• →Evaluate fine-tuning strategies (PEFT, LoRA, RLHF) where applicable for proprietary use cases
• →Support solution architects and cross-functional teams in delivering PoCs and enterprise-grade rollouts
• →Document frameworks, best practices, risks, and learnings for future scaling