Forward Engineer / AI Developer - College Graduate Program

Our vendor-neutral approach integrates leading AI models, hyperscale platforms, and technologies (Google, AWS, Oracle, IBM, OpenAI, Anthropic, Nvidia, Cursor, Databricks, Snowflake, Microsoft, Salesforce) to deliver secure, production-ready solutions.

Zetta² raised a seed round in August 2026, led by Smith/Newberg Road Partners, L.P./Bekman 514, Ltd., affiliated with Smith ($12B+ global electronic-component distributor).

About the Role - Forward Deployed Engineer (Entry-Level / Recent or Spring 27 Graduate)

We are looking for high-potential, ambitious entry-level Forward Deployed Engineers to bridge technical execution with client-facing solutions. Supported by structured onboarding and dedicated mentorship, you will pair with a senior solutions architect and work directly with client stakeholders to build, scale, and deploy production-ready AI solutions across diverse tech stacks., * Rapidly adapt to new technology stacks, AI tools, and enterprise workflows with a tech stack agnostic mindset to build robust client solutions.

• Pair with senior solutions architects and collaborate closely with cross-functional teams and clients using clear, effective technical communication.
• Participate in regular technical discovery sessions, client-facing technical workshops, and scoping requirements to transition prototypes from proof-of-concept to production.

• Bachelor’s or Master’s degree in computer science, Engineering, Mathematics, Management Information Systems, Economics, or related fields.
• Solid foundation in computer science fundamentals and programming. Experience with technologies such as Python, TypeScript, C++, algorithms, or similar.
• Hands-on experience with AI coding tools (e.g., Claude Code, OpenAI Codex) and an active GitHub/GitLab portfolio that you’re willing to share.
• Hands on exposure to, understanding of and/or any classroom or lab experience with LLMs, building autonomous agents, and working with data lakes.
• Exceptional verbal and written communication skills.
• Highly curious, rapid learner with a self-motivated startup mindset.
• Certifications (Preferred): Certifications in LLMs, AI-driven coding, agentic workflows, or data lakes are a plus.

12-Month Success Criteria

• As a team member, participate in co-delivering at least 2 enterprise client AI/agentic deployments from proof-of-concept to production.
• Demonstrate autonomy in mastering new technology stacks and internal tooling within the first 90 days.
• Maintain high satisfaction scores and effective technical communication with client stakeholders and cross-functional engineering teams.

• 100% medical, dental, and vision coverage for employees and dependents.
• Ongoing AI training, state-of-the-art model access, and high-impact projects.
• In-office lunches/snacks, flexible time off, and relocation assistance.

Hiring Process

• Initial screening > Technical & coding evaluation > Problem-solving / architectural review > Final interview