Job Title: AI Engineer

Company Name: Sorcero

Job Url: https://boards.greenhouse.io/embed/job_app?token=5681606004&utm_source=jobright&jr_id=68f27af076a51a4307bc427f

Job Description: THE ROLE

We are looking for an AI Engineer with experience in enterprise SaaS environments, with a focus on Generative AI and Data Science skills. The ideal candidate will have experience leading cross-functional product teams designing, building, and training AI-powered services for processing complex data in the life sciences domain. 

You will tackle some of our most critical AI challenges:

Collaborating with subject matter experts and cross-functional product teams to design and build robust pipelines using cloud infrastructure for ingesting and processing both structured and unstructured data from diverse life sciences sources.
Developing and implementing transparent and explainable AI systems that maintain scientific accuracy while delivering insights that medical professionals can trust and act upon.
Creating domain-specific AI solutions that can address the complexity of medical and scientific language with high precision, balancing the power of cutting-edge AI with the need for regulatory compliance and scientific rigor in healthcare applications.
The primary languages, services, and frameworks that the candidate would be expected to work with frequently: Python, Jupyter Notebooks, pytest, Poetry, PostgreSQL, Big Query, Vertex AI, Google Cloud Storage, PyTorch, and LLMs within Google's Model Garden. Sorcero is an agile startup on the bleeding edge of current AI advancements, including LLMs, RAG and Agentic Frameworks. Experience with deploying and maintaining LLM-based systems and frameworks used for them (such as LangChain and LlamaIndex) is a bonus, as is the ability to learn new technologies quickly.

The ideal candidate will be a collaborative team player who can lead execution to build innovative AI solutions. You will be expected to contribute to the decision-making process and influence the design of our services, bringing initiative and a positive, collaborative attitude. Communication skills are critical, as AI engineers are the ambassadors of good AI practices throughout Sorcero.

Keep in mind - this is a challenging domain. We make decisions fast, based on scientific facts, using advanced custom technology. We are not building standard, ordinary applications. Our products are innovative and so is our team. This is a great opportunity for someone looking to contribute meaningfully and learn while having fun in the process.

RESPONSIBILITIES

AI Model Development: Collaborate with the AI and MLOps teams to create, train and test models that deliver our AI capabilities with a focus on scientific accuracy and domain relevance, enabling new solutions for our customers, as well as our enterprise SaaS product offerings. 
Strong Leadership Focused on Excellence: Lead agile teams of fellow engineers, product managers, and SMEs to execute aiming for excellence in engineering while managing uncertainty, communicating effectively and driving cross-functional clarity and value creation.
Explainable AI Development: Build AI systems with transparency and explainability at their core, allowing users to understand how and why specific conclusions are reached—critical for life sciences applications where trustworthiness is paramount
Product Understanding: Understand our products from both the customer perspective and the engineering perspective.
AI Advocacy: Actively advocate for improving AI best practices, both internally in the tools and services offered by the AI team, as well as externally in the way the product teams integrate against those services.
PERFORMANCE INDICATORS

Success in this role will be measured by:

Ability to lead fellow engineers to develop accurate, scalable, and explainable AI solutions that directly address customer needs
Reduction in processing time for complex scientific datasets while maintaining or improving accuracy
Quality of integration between AI systems and product features as measured by customer satisfaction
Contributions to our AI toolkit that enable other teams to build more efficiently
Demonstrated ability to balance innovation with production stability in deployed AI systems
REQUIRED QUALIFICATIONS:

3+ years of enterprise SaaS software development experience
3+ years of Python experience
3+ years of experience with cloud computing (GCP preferred)
Experience with Large Language Models
Experience with common Data Science tooling and packages
A positive and collaborative attitude
Initiative and self-motivation
Motivation and drive to continuously improve and learn by trying new tools, processes, or methodologies
Excellent verbal and written communication skills
Company-provided laptop and hardware
COMPENSATION AND BENEFITS

Sorcero is a remote and globally distributed team. We offer rewarding compensation that will include a base salary in the range of $150,000-$180,000 depending on experience.