Generative AI Engineer

Job Overview And Responsibility

We are currently looking for a passionate and skilled AI/ML Engineer to join our team for an exciting engagement with one of our clients – TRG, a DeepTech company building high-trust AI platforms for education, compliance, and knowledge-centric domains. Our project will work with teams across Singapore, India, and the UK. They specialize in building infrastructure for interpretable, precise, and domain-aligned AI, focusing on advanced retrieval systems, knowledge grounding, agentic reasoning, and explainability in LLM environments. This role offers a unique opportunity to work on cutting-edge research and rapid prototyping of AI systems that go beyond generic tooling, delivering real impact in sensitive and high-stakes domains. WHY JOIN THIS PROJECT? - Opportunity to build inventive systems, not just maintain them. - Work with a globally distributed, research-forward DeepTech client. - Access to TRG's interdisciplinary team of domain experts, researchers, and legal engineers. - Support and mentorship from INNOMIZE technical leads throughout the engagement. WHAT YOU’LL BE DOING - Rapidly design and prototype GenAI workflows using LLMs, prompt chaining, and agentic frameworks. - Work with OCR/vision/NLP models to handle multimodal inputs. - Develop intelligent pipelines for document understanding, retrieval, and reasoning. - Integrate symbolic search techniques (e.g., BM25, SPLADE) and multimodal processing tools (e.g., TrOCR, SimCLR). - Fine-tune or adapt open-source LLMs (e.g., LLaMA, Mistral, Qwen) for domain-specific tasks. - Present working PoCs that demonstrate performance, alignment, or reasoning traceability. - Collaborate with non-engineers (product, legal, academic, compliance) to define goals and refine direction. - Portray the underlying mathematics and principles of AI/ML to peers and lay persons. Transfer knowledge of understanding of AI/ML to peers and lay persons. - Develop data pipelines for structured/unstructured data ingestion, tagging, indexing. - Stay updated with the latest GenAI/LLM innovations and contribute to internal best practices. - Support infrastructure, deployment, and MLOps where needed.