Senior Machine Learning Engineer

My client is a startup looking to transform the way their clients use AI!They are building the next-generation platform for drug launches, starting with a cutting-edge compliance layer. Their vision is to create an AI, Gen AI and Agentic platform that empowers life sciences organizations to navigate their medical, regulatory and legal (MLR) processes seamlessly, accelerate time to market, and drive innovation. This is an opportunity to join a company at the forefront of transforming compliance workflows and setting a new industry standard.As the Senior/Lead founding AI Engineer, you'll play a pivotal role in developing the AI, ML andGen AI engines and setting our AI technical strategy.**● Design, develop, test, deploy, and support the AI and Gen AI agentic engineincluding foundation model fine-tuning and/or training, large language model inference,similarity search, guardrails, model evaluation, experimentation, governance, andobservability, etc.● Leverage a broad stack of Open Source and SaaS AI technologies such as LLama,GCP Vertex, AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch,VLLM, LoRA Adapters, neo4j, etc.● Leverage state-of-the-art LLM optimization techniques to improve the accuracy andconsistency of our Gen AI engine● Lead the creation of mulit-agent system using ReAct frameworks such as LangGraph orCrewAI● Contribute to the technical vision and the long term roadmap of foundational AI systems**● Years of experience in software engineering, with a focus on AI, Gen AI and MLdevelopment● Experience designing, developing, integrating, delivering, and supporting complex AIsystems● Experience developing AI and ML algorithms or technologies (e.g. LLM training andfine-tuning, Inference, Similarity Search and VectorDBs, Guardrails, Memory) usingPython, Typescript, C++, or Java● Passion for staying abreast of the latest AI research and AI systems, and judiciouslyapply novel techniques in production● Hands on experience with prompt structures and fine-tune model outputs to align withbusiness needs and user expectation● Excellent communication and presentation skills, with the ability to articulate complex AIconcepts to peers● Familiarity with cloud infrastructure (AWS, GCP, or Azure).

Created: 2025-03-01