Forward Deployed AI Engineer

ZettaSquared

Houston, Texas, United StatesFull-time$80,000–$150,000Posted Nov 2, 2026

About the role

About Zetta2 (ZettaSquared)

At Zetta², we’re on a mission to help enterprises realize the value of AI for their business. We’re a pure-play, agnostic AI-native firm that provides a full range of AI infrastructure and software products, solutions, agentic workflows and services, alongside leading AI technologies and best-in-class partnerships, helping enterprises drive measurable business outcomes, quickly taking AI solutions from idea to production.

ZETTA² integrates leading AI models, hyperscale platforms, and AI technologies to deliver secure, production-ready AI-native solutions. Our vendor-neutral approach enables us to recommend the best technology or ground-up approach for each customer — not just a preferred platform. We continually vet partners from the fast-moving AI world and have strategic partnerships with many of the industry’s leaders. We work with Google, Amazon Web Services, Oracle, IBM, OpenAI, Anthropic, Nvidia, Cursor, Grok by X, Typesafe AI, Thinking Machines, Apache Iceberg, Databrinks, WorkOS, Zapier, Unsloth, Snowflake, Ping Identity, Pinecone, ServiceNow, Microsoft, Salesforce and many more AI stack industry leaders.

ZETTA² raised a substantial seed round in August of 2026, led by Smith/Newberg Road Partners, L.P./Bekman 514, Ltd. Smith, with sales in excess of $12B, is one of the world's largest independent electronic-component distributors, offering supply chain services on a global scale.

About the Role – Forward Deployed Engineer

We're looking for several Forward Deployed AI Engineers to join our team and support our most mission-critical client engagements. You'll be in the field — shoulder-to-shoulder with other ZETTA² engineers and our clients — designing, building, and deploying end-to-end AI solutions.

This is not a demo-building role. Forward Deployed AI Engineers are hands-on builders. They design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other ZETTA² engineers.

Key Responsibilities:

Client Engagement

· Work side-by-side with our client’s technology and engineering teams and the ZETTA² consulting team to support full stack AI-native deployments.

· Build and integrate AI solutions systems using open and closed LLMs, RAG pipelines, agentic frameworks and workflows, vector DBs, and related tools.

· Translate high-level designs into working components that deliver measurable outcomes.

· Write modular, reusable code that balances speed of delivery with long-term maintainability.

· Debug relentlessly - optimize for reliability in production, not just elegance in code.

Delivery & Enablement

· Partner with ZETTA² Senior Forward Deployed Engineers/Architects and the leadership team to translate client-specific solutions into reusable proprietary AI products, solutions, agentic workflows, and services.

· Share insights across the company and team, raising the bar for future deployments.

About You

· Experience designing and delivering enterprise AI-native solutions. You have built applications powered by LLMs or other AI models and are comfortable composing multiple components — prompts, agents, tools, retrieval, evaluators, workflows, and integrations — into end-to-end systems.

· 1-2 years software engineering experience, designing and delivering enterprise software systems, with strong AI/ML depth.

· Strong programming experience with Python or TypeScript.

· Exposure to agent frameworks and orchestration tools.

· Experience using AI-assisted development tools such as Codex, Cursor, or Claude Code.

· Ability to engage credibly across technical audiences – from business executives to technologists and engineers.

· Ability to travel - typically 10–50%, depending on the project, customer needs, and your role on the engagement.

· Background in consulting or client-facing engineering roles.‍

What We Offer

The base salary range for this role is $80K – $150K, total salary for role expected to be $100K – $200K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful early-stage equity, quarterly and year-end bonuses, along with a comprehensive benefits package:

· 100% coverage of medical, dental, and vision insurance for employees and dependents.

· Ongoing training across our strategic AI partners.

· Access to state-of-the-art AI models, generous usage of modern AI tools, and exciting customers with real-world business problems.

· Complementary in-office lunches and snacks provided.

· Ownership of high-impact projects across some of the world’s best companies.

· Flexible time off.

· Relocation assistance.

· Enjoy a fast-moving culture that values the desire and ability to learn AI technologies while having fun.

ZETTA² has offices in Houston, Los Angeles (2027) & Boston (2027).

www.zetta2.AI

We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.

Responsibilities

  • Design, build, deploy, and iterate on end-to-end AI solutions with clients and engineering teams.
  • Integrate LLMs, RAG pipelines, agents, vector databases, and related tools into production systems.
  • Translate high-level designs into reliable, reusable software components.
  • Turn client-specific solutions into reusable AI products, workflows, and services.
  • Share deployment insights to improve future engagements.

Qualifications

  • 1–2 years of software engineering experience delivering enterprise systems, with strong AI/ML depth.
  • Experience designing and delivering enterprise AI-native solutions powered by LLMs or other AI models.
  • Strong programming experience with Python or TypeScript.
  • Exposure to agent frameworks and orchestration tools.
  • Experience with AI-assisted development tools such as Codex, Cursor, or Claude Code.
  • Ability to communicate with business executives, technologists, and engineers.
  • Willingness to travel, typically 10–50%, depending on project needs.
  • Background in consulting or client-facing engineering.

Benefits

  • Medical, dental, and vision insurance fully covered for employees and dependents.
  • Training across strategic AI partners.
  • Access to advanced AI models and modern AI development tools.
  • Complimentary in-office lunches and snacks.
  • Ownership of high-impact projects.
  • Flexible time off.
  • Relocation assistance.
  • Early-stage equity and quarterly and year-end bonuses.

Skills mentioned

PythonTypeScriptGenerative AILarge Language ModelsRetrieval-Augmented GenerationAI AgentsLangChainPrompt EngineeringTool CallingAPI Integration