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Software Engineer, AI Agents (Remote SF)

Role overview

Summary

This role focuses on developing AI-powered products by rapidly prototyping and architecting LLM applications. You will work closely with a small team and senior leadership to explore new ideas and build production-ready solutions that enhance user experiences.

Qualifications

  • 5–12 years of software engineering experience working with core products.
  • Strong technical skills, particularly in backend architecture.
  • Strong customer and product thinking, with the ability to translate ideas into working software.
  • Ability to rapidly prototype and architect production-ready LLM pipelines.
  • Creativity in exploring AI applications and evaluating technical approaches.

Responsibilities

  • Rapidly develop and iterate on proofs of concept (POCs) exploring the potential of integrating AI into data and marketing workflows.
  • Collaborate with a small team and senior leadership to prototype and ship new product ideas quickly.
  • Make key decisions about AI architecture and frameworks.
  • Build production data agents that use company data to answer analytics and data science questions about users and marketing efforts.

Key facts

Hard skills

Other skills

  • Creativity
  • Collaboration

About the company

Morgan Pinnacle Group logo

Morgan Pinnacle Group

  • Staffing & Recruiting
  • 11–50
Morgan Pinnacle Group (MPG) | Executive Support Staffing CEO doesn’t stand for Chief Everything Officer. At MPG, we connect entrepreneurs and small to mid-sized business owners with top-tier, US-based executive support who give you the time and space to focus on what really matters. Delegate like a boss. Because you are one. Our US-based talent are productivity partners who keep your day moving, your priorities clear, and your business goals on track. From inbox and calendar management to operations, research, marketing support, and more, they help you clear your plate so you can scale confidently. Concierge-level staffing, without the hiring hassle. With MPG’s flexible subscription model (40 to 160 hours/month), you get executive support without the cost, risk, or admin burden of hiring full-time. We handle vetting, onboarding, payroll, benefits, coaching, and check-ins, so you don’t have to. Tailored, not transactional. We don’t use algorithms or talent databases. Every MPG match is hand-selected to fit your work style, pace, and culture. Our talent are U.S.-based, highly vetted, and ready to integrate into your business seamlessly. Support that grows with you. Your business evolves, so does our support. Whether you need project-based help or a long-term partner, MPG is here to scale with you. Looking to join the MPG team? Our talent are W-2 employees, not contractors. That means benefits, professional development, and a team that has your back from day one. You’re not just finding work, you’re building a career. 📍 US-Based Talent 📈 Flexible Subscription Staffing Plans 💼 Executive Support Experts 🤝 Long-Term, Top-Tier Support 🔑 Strategic Business Partnerships Ready to reclaim your time and elevate your operations? Visit mpgstaff.com or message us to get started. 🚀

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Job description

Software Engineer, AI Agents (Remote SF)

Location: San Francisco Bay Area (Remote, with occasional office visits)
Employment Type: Full-Time
Base Salary: 200,000–320,000
Equity: Competitive

About the Opportunity

We are seeking a product-minded AI engineer with strong customer and product thinking, creativity in building LLM applications, and the ability to rapidly prototype and architect production LLM pipelines.

This opportunity involves working closely with a small team and senior leadership to explore, prototype, and launch new AI-powered products. The ideal candidate combines strong technical skills, particularly in backend architecture, with product intuition and the ability to execute projects from start to finish.

What You'll Do

  • Rapidly develop and iterate on proofs of concept (POCs) exploring the potential of integrating AI into data and marketing workflows.

  • Collaborate with a small team and senior leadership to prototype and ship new product ideas quickly, laying the groundwork for major product lines.

  • Make key decisions about AI architecture and frameworks.

  • Explore different AI methodologies and determine where various LLMs can and cannot be effectively used within the product.

  • Build production data agents that use company data to answer analytics and data science questions about users and marketing efforts.

  • Develop a deep understanding of user workflows to create seamless AI-assisted user experiences.

Required Qualifications

  • 5–12 years of software engineering experience working with core products.

  • Strong technical skills, particularly in backend architecture.

  • Strong customer and product thinking, with the ability to translate ideas into working software.

  • Ability to rapidly prototype and architect production-ready LLM pipelines.

  • Creativity in exploring AI applications and evaluating technical approaches.

  • Ability to understand and execute engineering projects from start to finish.

  • Willingness to occasionally visit the San Francisco Bay Area office.

Preferred Qualifications

  • Software engineering experience in an AI/ML context.

  • Previous experience working with LLMs and AI applications.

  • Experience with TypeScript.

Prior experience with LLMs or AI is not required. Candidates with strong technical skills, backend architecture experience, and product intuition are encouraged to apply.

Compensation & Work Arrangement

  • Base Salary: 200,000–320,000 annually

  • Equity: Competitive equity

  • Employment: Full-time

  • Location: San Francisco Bay Area, with remote flexibility and occasional office visits

  • Visa Sponsorship: Open to visa transfers, including OPT and H-1B transfers. The employer can sponsor most visas.

About the Ideal Candidate

We are looking for intellectually curious, motivated engineers interested in exploring the forefront of AI.

Successful candidates will demonstrate strong technical judgment, product intuition, creativity, and the ability to work independently while collaborating closely with a small team.

This opportunity is particularly well suited for engineers who enjoy exploring new technologies, building products quickly, and turning promising ideas into production software.

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