ContextLabs
Engineering · Full-time · Cambridge, United States
Principal Software Engineer, AI Engineering
Cambridge, MA
About this position:
Context Labs is seeking a Principal Software Engineer to help drive forward our AI Engineering initiatives within our ImmutablyTM Platform and analytics spaces. Working as an integral leader within the development team, the engineer will lead many aspects of developing our AI engineering systems; as well as provide thought leadership, upskilling of less senior engineers, and taking part in defining strategic linkages across the company’s products. This role will report to the VP, Engineering.
In this role you will:
Experience & Skills:
10+ years of experience in professional software systems development
Great communication skills
Big picture orientation with strong attention to detail
Comfort in dealing with highly abstract concepts and complex architectures is critical for this role.
Proven experience in integrating and utilizing LLM APIs for building conversational AI and machine-driven insight systems.
Demonstrated ability to fine-tune pre-trained language models (LLMs) to improve performance on specific tasks.
Proficiency in designing and optimizing prompts to elicit desired responses from language models.
Experience with integrating API services.
Proficiency in unit and functional testing
Hands-on experience in building and deploying conversational AI systems, including chatbots and virtual assistants.
Strong coding skills in Java or other JVM languages (e.g., Scala) for developing scalable AI solutions.
Experience with disparate Java frameworks such as Spring/Quarkus/Helidon etc.
Proficiency with Docker based microservice architectures and the Kubernetes platform.
Proficiency with MySQL, PostgreSQL, or equivalent RDBMS
Experience with NoSQL/NewSQL databases.
Proficiency in source code management
Preferred Experience:
Why you’ll like it here:
We understand that applying for a job can be intimidating. Applicants rarely meet every single job requirement, and we know there are many skills and backgrounds that will contribute to success in this role. If you’re interested in applying, please do so.
Context Labs embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our products will be. Context Labs will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please contact Human Resources at HR@contextlabs.com.
Who we are:
Context Labs is dedicated to sourcing, organizing, and contextualizing the world’s climate information. The company enables data to become trusted, shared, and utilized as Asset Grade Data (AGD™), providing insights and solutions to inform markets. Context Labs mission is to provide the world’s trusted data fabric platform, delivering Asset Grade Data to customers using the Immutably™ Enterprise Data Fabric platform, deploying machine learning, Artificial Intelligence, and cryptographic blockchain technologies, for context-driven insights.
Building on the Immutably™ Enterprise Data Fabric platform, the company has deployed customer service layers (1) Decarbonization-as-a-Service™ (DaaS™), tailored to accelerate the Global Energy Transition, and its (2) CLEAR Path™ platform to enable customers to optimize value creation with the highest quality carbon credits. The company was formed out of MIT (Massachusetts Institute of Technology) research and is comprised of a leadership team that has been instrumental in the at-scale growth of the Internet, in prior companies. The company has offices in Amsterdam, Cambridge, Mass., and Houston.
We are a team that is hiring and growing! Learn more about Context Labs here:
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ContextLabs
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ContextLabs provides enterprise platform solutions that deliver trust and transparency for the digital and physical worlds.
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