Senior AI Engineer

Welcome to the era of Velsera! Seven Bridges, Pierian UgenTec have combined to become Velsera.

Velsera is the precision engine company. We empower researchers, scientists, and clinicians to drive precision RD, expand access to, and more effectively leverage analytics at the point of care.

We unify technology-enabled solutions and scientific expertise to enable a continuous flow of knowledge across the global healthcare ecosystem. This interweaves diverse biomedical communities, allowing them to build upon each other s success and accelerate medical breakthroughs that positively impact human health.

With our headquarters in Boston, MA, we are growing and expanding our team which located in 14 different countries!

What will you do

Train, fine-tune, and deploy Large Language Models (LLMs) to solve real-world problems effectively.

Design, implement, and optimize AI/ML pipelines to support model development, evaluation, and deployment.

Collaborate with Architect, software engineers, and product teams to integrate AI solutions into applications.

Ensure model performance, scalability, and efficiency through continuous experimentation and improvements.

Work on LLM optimization techniques, including Retrieval-Augmented Generation (RAG), prompt tuning, etc.

Manage and automate the infrastructure necessary for AI/ML workloads while keeping the focus on model development.

Work with DevOps teams to ensure smooth deployment and monitoring of AI models in production.

Stay updated on the latest advancements in AI, LLMs, and deep learning to drive innovation.

What do you bring to the table

Strong experience in training, fine-tuning, and deploying LLMs using frameworks like PyTorch, TensorFlow, or Hugging Face Transformers.

Hands-on experience in developing and optimizing AI/ML pipelines, from data preprocessing to model inference.

Solid programming skills in Python and familiarity with libraries like NumPy, Pandas, and Scikit-learn.

Strong understanding of tokenization, embeddings, and prompt engineering for LLM-based applications.

Hands-on experience in building and optimizing RAG pipelines using vector databases (FAISS, Pinecone, Weaviate, or ChromaDB).

Experience with cloud-based AI infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).

Experience in model monitoring, A/B testing, and performance optimization in a production environment.

Familiarity with MLOps best practices and tools (Kubeflow, MLflow, or similar).

Ability to balance hands-on AI development with necessary infrastructure management.

Strong problem-solving skills, teamwork, and a passion for building AI-driven solutions.

Our Core Values

People first. We create collaborative and supportive environments by operating with respect and flexibility to promote mental, emotional and physical health. We practice empathy by treating others the way they want to be treated and assuming positive intent. We are proud of our inclusive diverse team and humble ourselves to learn about and build our connection with each other.

Patient focused. We act with swift determination without sacrificing our expectations of quality. We are driven by providing exceptional solutions for our customers to positively impact patient lives. Considering what is at stake, we challenge ourselves to develop the best solution, not just the easy one.

Integrity. We hold ourselves accountable and strive for transparent communication to build trust amongst ourselves and our customers. We take ownership of our results as we know what we do matters and collectively we will change the healthcare industry. We are thoughtful and intentional with every customer interaction understanding the overall impact on human health.

Curious. We ask questions and actively listen in order to learn and continuously improve. We embrace change and the opportunities it presents to make each other better. We strive to be on the cutting edge of science and technology innovation by encouraging creativity.

Impactful. We take our social responsibility with the seriousness it deserves and hold ourselves to a high standard. We improve our sustainability by encouraging discussion and taking action as it relates to our natural, social and economic resource footprint. We are devoted to our humanitarian mission and look for new ways to make the world a better place.

Velsera is an Equal Opportunity Employer:
Velsera is proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, colour, gender, religion, marital status, domestic partner status, age, national origin or ancestry.