Lead AI Engineer
HumanaFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates must have 8+ years of professional experience in building Machine Learning models and systems, with at least 1 year of hands-on experience with LLMs and Generative AI techniques, including prompt engineering, RAG, and agents. Expertise in Python, Langchain/Langgraph, and SQL is essential, along with a solid understanding of cloud services such as Azure, GCP, or AWS. The role also requires experience in guiding engineering teams towards a technical roadmap and excellent communication skills for collaborating with business SMEs.
The Senior GenAI Engineer will develop and optimize LLM-based solutions by leading the design, training, fine-tuning, and deployment of large language models using techniques like prompt engineering, RAG, and agent-based architectures. Responsibilities include owning and maintaining high-quality, efficient code in Python and SQL, aiding in the deployment of GenAI applications on cloud platforms, and collaborating closely with product owners, data scientists, and business SMEs. Additionally, the role involves providing technical leadership and knowledge-sharing to the engineering team, mentoring junior engineers, and staying current with the latest advancements in LLM research and generative AI to drive continuous innovation.
AI-driven matching of businesses with engineers
Turing provides tech services by using artificial intelligence to connect businesses with skilled software engineers for custom application development and on-demand engineering needs. The company has a large pool of over 3 million vetted engineers from 150 countries, allowing businesses to quickly find the right talent for their projects. When a company needs a developer, they specify the required skills, and Turing's AI matches them with the best candidates, streamlining the recruitment process and helping companies complete projects faster. Turing also supports engineers by offering access to high-paying remote job opportunities in the U.S., with a high rematch rate ensuring job stability. The goal of Turing is to enhance recruitment efficiency for businesses while providing valuable job opportunities for engineers.