Gradient AI

Benefits:

• Medical, dental, vision plans covered at 90%

• 401k Employer Contribution (nonelective contribution of 3% of your compensation)

• Flexible time off - take time off when you need it!

• Two approved remote work weeks per year

• Catered lunches & snacks in-office Team socials & outings throughout the year 12 weeks of paid parental leave

Experience Requirements:

• A degree in a deeply technical field (e.g. computer science, AI/ML, computational science) with a proven track record of applied AI research (e.g. significant journal or conference publication, lead on AI feature development, popular open source project)

• 1+ years of software engineering experience in a production environment

• Experience with Python, PyTorch, LLM prompting

• Fluency with one or more of the following: LMMs, multimodal LLMs, prompt engineering, RL, reasoning and search with AI, and related algorithms

• Are excited about working at an early stage startup and building products from 0 to 1, and have experience doing so Are interested in exploring ways to harness AI to disrupt industries

Responsibilities:

• Identify, prove out, and prototype impactful improvements to our core platform, leveraging novel AI solutions

• Collaborate with adjacent stakeholders - empathize and learn from customer needs, clearly communicate your findings to leadership, and pair with engineering on production implementation

• Stay curious on AI research at all levels of the stack

• Shape culture and research best practices for the team, and the rest of the org

Benefits:

• Medical, dental, vision plans covered at 90%

• 401k Employer Contribution (nonelective contribution of 3% of your compensation)

• Flexible time off - take time off when you need it!

• Two approved remote work weeks per year

• Catered lunches & snacks in-office Team socials & outings throughout the year 12 weeks of paid parental leave

Experience Requirements:

• Have 4+ years of full-time software engineering experience in a production environment

• Are experienced with web development and fluent with React, Typescript, and Python

• Can leverage the latest generative AI techniques (prompt engineering, RAG, and more)

• Are excited about working at an early stage startup and building products from 0 to 1, and have experience doing so

• Are interested in exploring ways to harness AI to disrupt industries and working directly with customers to identify new product innovations

Responsibilities:

• Drive projects end-to-end, from scoping and design to implementation and rollout

• Design and build delightful user-facing products from the ground up, including working hands-on with customers to demonstrate and communicate the value of Gradient technology, from demos to proofs of concept to full productionization

• Collaborate closely with leadership, applied scientists, and other engineers to ensure alignment on decisions

• Stay up-to-date with the AI landscape and technologies, ensuring we are using the best tool at hand for our platform

• Help uplevel the engineering team and shape culture and technical best practices

Benefits:

• Medical, dental, vision coverage covered at 90%

• 401k Employer Contribution (nonelective contribution of 3% of your compensation)

• Flexible time off - take time off when you need it!

• Two approved remote work weeks per year

• Catered lunches & snacks in-office Team socials & outings throughout the year 12 weeks of paid parental leave

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field

Experience Requirements:

• 2-5 years of full-time product management or related industry experience

• Experience building AI products or deeply using LLMs

• Bonus points for experience in Financial Services

• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment

• Ability to think strategically and execute with attention to detail Enjoy building 0 to 1 products from the ground up

Responsibilities:

• Spearhead the strategy and development of AI agents for the use of investors and other users within the Financial Services industry

• Deeply understand the technology and psychology behind AI and agents

• Own the full lifecycle of products from inception and development to rollout and ongoing success

• Craft a narrative, define product requirements, and prioritize effectively

• Collaborate with leadership, engineers, and other stakeholders to deliver high-quality products