Forward Deployed Engineer
Palona AI
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Seattle, WA
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Entry level
Posted April 1, 2026
3 variants
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Responsibilities
Commitments
Responsibilities
- Partner deeply with operators and customers to understand how the business actually runs, uncover real-world workflows, and translate them into system behavior
- Scope, design, and deploy adaptive AI agents that evolve with the customer's environment—not static models, but living systems that improve through interaction
- Build and integrate production-ready applications that connect Palona's AI platform to customer infrastructure
- Develop demos, prototypes, and workflows that show how adaptive agents solve real operational problems
- Debug edge cases in the wild and convert observations from real deployments into product intelligence and system improvements
- Ensure reliability, safety, and performance of AI agents operating in fast-moving, operationally intense environments
- Build long-term relationships where you and the agent grow alongside the customer
- This is neither a pure engineering role nor a pure consulting role—it is a hybrid built for range, curiosity, and ownership.
- Ownership to take problems from discovery to deployment
Commitments
This is neither a pure engineering role nor a pure consulting role—it is a hybrid built for range, curiosity, and ownership.
Adaptability in environments where requirements shift weekly
Ownership to take problems from discovery to deployment
Not Met Priorities
What still needs stronger evidence
Requirements
- Strong full-stack development skills (Python, JavaScript, or similar)
- Experience in customer-facing or client delivery roles
- Ability to thrive in fast-moving, resource-constrained, startup-style environments
- Fast learner capable of adapting to new tools, domains, and requirements
- High ownership mindset with the ability to work independently and follow problems end-to-end
- Excellent communication with technical and non-technical stakeholders
- Adaptability in environments where requirements shift weekly
- Ownership to take problems from discovery to deployment
Preferred Skills
- Deploying LLMs, multimodal models, or generative AI systems
- Background in NLP, computer vision, or multi-agent systems
- Sales engineering, pre-sales, or customer success engineering in high-growth environments
- Experience working in domains with heavy operational complexity (hospitality, logistics, retail, etc.)
- Curiosity and empathy to explore both the technology and hospitality
- Technical fluency to diagnose, build, and refine systems
- Clear communication across both technical and non-technical teams
- Adaptability in environments where requirements shift weekly
- Ownership to take problems from discovery to deployment
At Palona, the Forward Deployed Engineer is a new kind of builder—born from the era of adaptive, multimodal AI systems. This role sits at the intersection of engineering, customer partnership, and real-world operations. You'll work directly with operators in one of the most dynamic industries in the world and help guide AI agents that learn and evolve alongside them.
If you're the type of person who loves both systems and people, who's energized by real-world complexity, and who wants your work to have immediate impact in live environments, this is your path.
Responsibilities
As a Forward Deployed Engineer, you'll be the connective tissue between our product, our customers, and the AI agents we deploy into the field. You will:
Partner deeply with operators and customers to understand how the business actually runs, uncover real-world workflows, and translate them into system behavior
Scope, design, and deploy adaptive AI agents that evolve with the customer's environment—not static models, but living systems that improve through interaction
Build and integrate production-ready applications that connect Palona's AI platform to customer infrastructure
Develop demos, prototypes, and workflows that show how adaptive agents solve real operational problems
Debug edge cases in the wild and convert observations from real deployments into product intelligence and system improvements
Ensure reliability, safety, and performance of AI agents operating in fast-moving, operationally intense environments
Build long-term relationships where you and the agent grow alongside the customer
This is neither a pure engineering role nor a pure consulting role—it is a hybrid built for range, curiosity, and ownership.
Requirements
Required
Strong full-stack development skills (Python, JavaScript, or similar)
Experience in customer-facing or client delivery roles
Ability to thrive in fast-moving, resource-constrained, startup-style environments
Fast learner capable of adapting to new tools, domains, and requirements
High ownership mindset with the ability to work independently and follow problems end-to-end
Excellent communication with technical and non-technical stakeholders
Preferred
Deploying LLMs, multimodal models, or generative AI systems
Background in NLP, computer vision, or multi-agent systems
Sales engineering, pre-sales, or customer success engineering in high-growth environments
Experience working in domains with heavy operational complexity (hospitality, logistics, retail, etc.)
Curiosity and empathy to explore both the technology and hospitality
Technical fluency to diagnose, build, and refine systems
Clear communication across both technical and non-technical teams
Adaptability in environments where requirements shift weekly
Ownership to take problems from discovery to deployment
If you're the type of person who loves both systems and people, who's energized by real-world complexity, and who wants your work to have immediate impact in live environments, this is your path.
Responsibilities
As a Forward Deployed Engineer, you'll be the connective tissue between our product, our customers, and the AI agents we deploy into the field. You will:
Partner deeply with operators and customers to understand how the business actually runs, uncover real-world workflows, and translate them into system behavior
Scope, design, and deploy adaptive AI agents that evolve with the customer's environment—not static models, but living systems that improve through interaction
Build and integrate production-ready applications that connect Palona's AI platform to customer infrastructure
Develop demos, prototypes, and workflows that show how adaptive agents solve real operational problems
Debug edge cases in the wild and convert observations from real deployments into product intelligence and system improvements
Ensure reliability, safety, and performance of AI agents operating in fast-moving, operationally intense environments
Build long-term relationships where you and the agent grow alongside the customer
This is neither a pure engineering role nor a pure consulting role—it is a hybrid built for range, curiosity, and ownership.
Requirements
Required
Strong full-stack development skills (Python, JavaScript, or similar)
Experience in customer-facing or client delivery roles
Ability to thrive in fast-moving, resource-constrained, startup-style environments
Fast learner capable of adapting to new tools, domains, and requirements
High ownership mindset with the ability to work independently and follow problems end-to-end
Excellent communication with technical and non-technical stakeholders
Preferred
Deploying LLMs, multimodal models, or generative AI systems
Background in NLP, computer vision, or multi-agent systems
Sales engineering, pre-sales, or customer success engineering in high-growth environments
Experience working in domains with heavy operational complexity (hospitality, logistics, retail, etc.)
Curiosity and empathy to explore both the technology and hospitality
Technical fluency to diagnose, build, and refine systems
Clear communication across both technical and non-technical teams
Adaptability in environments where requirements shift weekly
Ownership to take problems from discovery to deployment