Posted:
3/26/2025, 3:48:03 AM
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Workplace Type:
Remote
COMPANY SUMMARY
Sorcero's medically-tuned intelligence platform transforms life sciences decision-making, accelerating patient access to life-saving treatments. By harnessing insights from global medical data, we empower industry leaders to deliver breakthrough therapies. Founded in 2018 by pioneers in AI, public health, and personalized content, Sorcero is a Certified B Corp headquartered in Washington, DC. Our innovation has been recognized by over a dozen awards, including Fast Company's Most Innovative companies of 2024, and six foundational medical AI patents. For more information, visit www.Sorcero.com.
WHY JOIN SORCERO?
Our growth and success by collaborating with our network of passionate entrepreneurs to build a scalable, impactful organization. From flexible working arrangements to encouraging meaningful interactions with teammates across the globe, Sorcero provides a supportive community to bring out the best in each of us.
Our employees are driven by these common values:
Sorcero builds AI powered solutions, combining the power of deep learning with the accuracy of ontologies to drive natural language understanding. Top Pharma companies, scientists and researchers use our platform and applications.
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 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:
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 execute quickly and thrive in a fast-paced environment. 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
PERFORMANCE INDICATORS
Success in this role will be measured by:
REQUIRED QUALIFICATIONS:
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 $130,000-$150,000 depending on experience.
We also provide the following benefits:
Because ∑ (human + AI) > human or AI alone
Sorcero is an Equal Opportunity Employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, education, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. and celebrates the diversity of its growing team.
We are unable to sponsor or take over sponsorship of employment Visa at this time.
Website: https://www.sorcero.com/
Headquarter Location: Washington, District of Columbia, United States
Employee Count: 11-50
Year Founded: 2018
IPO Status: Private
Last Funding Type: Venture - Series Unknown
Industries: Artificial Intelligence (AI) ⋅ Enterprise Software ⋅ Health Care ⋅ Machine Learning ⋅ Natural Language Processing ⋅ PaaS ⋅ Software