Senior LLM Engineer

About this opportunity

Turing is seeking a Senior LLM Engineer for a hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role involves developing LLM systems with Python and LangChain, building Retrieval-Augmented Generation pipelines, implementing prompt engineering and agent-based frameworks, contributing to technical roadmaps, and translating business requirements into scalable production-ready AI solutions.

What the listing describes

• ✓Design and develop Generative AI and LLM-based systems using LangChain and Retrieval-Augmented Generation pipelines
• ✓Implement prompt engineering techniques and agent-based frameworks
• ✓Collaborate with engineering teams to shape and drive the technical roadmap for LLM initiatives
• ✓Translate business needs into scalable, production-ready AI solutions
• ✓Work with business SMEs and data teams to align AI models with real-world use cases
• ✓Contribute to architecture discussions and code reviews
• ✓Optimize system and model performance

Requirements shown on the source

• ✓7–12 years of overall professional experience
• ✓Proficiency in Python, LangChain, and SQL
• ✓Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows
• ✓Background in machine learning or software engineering with system-level thinking
• ✓Experience working with cloud platforms such as AWS, Azure, or GCP
• ✓Ability to work independently and collaborate effectively across teams
• ✓Excellent communication and stakeholder management skills

Relevant backgrounds mentioned

• ✓1+ years of hands-on experience with LLMs and Generative AI techniques
• ✓Experience contributing to ML/AI product pipelines or end-to-end deployments
• ✓Familiarity with MLOps and scalable AI model deployment patterns
• ✓Prior exposure to client-facing projects or cross-functional AI teams