Lead Engineer (AI and Agent Development) at Atrium Staffing
Job Description
Job Description
Our client partners with advisors and institutions to deliver personalized, values-aligned, and tax-smart investing. Their technology enables sophisticated investment solutions through a simple and engaging client experience. They empower advisors and institutions to deliver investments that reflect what matters most to them and their clients. They are backed by investors and are an SEC Registered Investment Adviser based in New York City. Their team is committed to fostering an environment that brings together diverse voices, perspectives, and lived experiences. They are striving to drive positive outcomes for investors and to contribute to a more sustainable and prosperous future for the world, seeking a Lead Engineer (AI and Agent Development).
Salary/Hourly Rate:
$175k - $195k
Position Overview:
As a Lead Engineer (AI and Agent Development) and a member of the Software Engineering team, you will play a vital role in designing, developing, and deploying cutting-edge generative AI models and agents. You will collaborate closely with experienced engineers, product managers, and end-users to build innovative solutions leveraging the latest advancements in artificial intelligence. You'll work with modern technology paradigms on Google Cloud, including large language models (LLMs), deep learning frameworks, and distributed systems.
Responsibilities of the Lead Engineer (AI and Agent Development):
- Leverage, train, and fine-tune scalable AI models for a variety of applications.
- Build, test, and maintain autonomous agents capable of complex reasoning and actioning for different tasks.
- Stay up to date with the latest research and advancements in the field of AI.
- Collaborate on the development of infrastructure needed to support and scale AI initiatives.
- Identify new opportunities to apply generative AI and agent-based systems.
- Write clean, efficient, and well-documented code.
- Work directly with engineering, product, and business teams throughout all phases of the software development lifecycle.
- 4+ years of professional software engineering experience.
- 2+ years of hands-on experience in developing and implementing AI-powered solutions, with a focus on generative models and/or agent-based systems.
- Strong understanding of machine learning principles.
- Strong programming skills in Python.
- Knowledge of programming with Java.
- Knowledge of RDBMS.
- Strong understanding of functional programming paradigms.
- Familiarity with unit testing tools.
- Strong knowledge of data structures and algorithms.
- Passionate about software and technology.
- Excellent problem-solving and analytical skills.
- Strong collaboration and communication skills.
- Working experience with Google Cloud Platform (GCP) products such as Vertex AI, BigQuery, and Cloud Storage.
- NoSQL experience is a plus.
- Interest in Asset Management is a plus.
- None required.
- Medical, dental & vision insurance - premiums 100% covered (includes dependents).
- 401k with sustainable investment options and a 3.5% employer match.
- Unlimited paid time off.
- 16-weeks of paid parental leave.
As a woman-owned firm, we value diversity. We are an equal opportunity and affirmative action employer and will consider all applications without regard to race, sex (including gender, pregnancy, sexual orientation and gender identity), age, color, religion or creed, national origin or ancestry, veteran status, disability (physical or mental), genetic information, citizenship or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Candidates who apply for roles through the Atrium website will be added to our candidate pool and may be considered for additional roles of a similar title. Please contact us to request an accommodation.
EOE/M/F/D/V/SO
Position ID: 158392
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