AI Software Engineer

(AI Software Engineer  -  this one is more data focused)

3 days onsite in San Francisco, CA  -  locals only

 

Key Responsibilities & Deliverables:
This role is focused on the successful completion of specific tasks and deliverables. Your responsibilities will include:

• Automate processes aggressively using LLMs, Python/JS scripts, APIs, and virtual servers.
• Create secure, efficient backend services and agent pipelines in Python, Javascript, or other object-oriented programming languages.
• Develop and maintain feedback loops for your AI Agents.
• Work directly with customers and internal Go-To-Market (GTM) teams to understand needs and iterate quickly.
• Create user-focused frontend experiences using React & Typescript/Javascript.
• Quickly adapt to new technologies, coding languages, and domains.
• Proactively raise issues that might impact delivery commitments.
• Participate in Agile environments using Scrum software development practices, automated unit testing, CI/CD, code reviews, and Git version control.

Required Skills & Experience:
We are looking for someone with a proven track record of successful contract engagements. The ideal candidate will have:

• BA/BS degree or equivalent work experience.
• Deep expertise in building AI Agents and prompt engineering, React, Typescript/Javascript, and Python, Java or other object-oriented programming languages. This isn''t a learning role—you need to be a subject matter expert.
• Demonstrated ability to work autonomously and manage your own time effectively to meet project goals.
• Experience with AI-assisted development tools (e.g., LLMs for coding assistance) to accelerate software delivery, integration of third-party APIs, and public cloud (Azure or AWS).
• Strong communication skills to provide clear and concise status updates to the project team.

Preferred Qualifications:

• Excellent problem solving skills.
• Experience having gone “zero to one” in a fast-paced environment.
• Curiosity and ability to learn new technologies and tool sets.
• A product mindset, with a focus on understanding customer problems and iterating on solutions.
• Strong communicator across Slack, async docs, and live conversations.