Forward-deployed AI engineer, Fintech → San Francisco · Brazil · Spain · Poland · Remote

Joinplank; Brasil; A distancia; BRL 180.000 - 300.000; Jornada completa

Descripción de la vacante

Plank places forward-deployed engineers inside fintech teams to ship production AI with emphasis on correctness and trust, working across OpenAI, Anthropic, and open models. You own delivery end to end, often on-site, and collaborate with customer engineers and leadership.

You will build scalable systems, from 0-to-1 prototypes to MVPs, writing production-grade code across the stack and ensuring robust integrations with real systems of record.

Formación

• 4 to 10 years of engineering experience, ideally customer-facing or in deployment.
• You write and review production-grade code across frontend and backend, with Python as a baseline and TypeScript a strong plus.
• Hands-on production experience with LLMs: prompt engineering, agent development, evals, RAG, and deployment at scale.
• A track record of scoping and shipping complex systems, and comfort with cloud, data pipelines, and enterprise environments.
• High agency and comfort with ambiguity: you turn vague business problems into concrete technical plans and own the outcome.
• Strong communication and stakeholder management, from technical discovery to the executive relationship.
• Interest or experience in fintech: payments, risk, underwriting, or financial compliance.

Responsabilidades

• Embed with a customer team, often on-site, and own delivery end to end: discovery, technical scoping, system design, build, and production rollout.
• Drive solutions from a 0 to 1 prototype through MVP to scale, writing and reviewing production-grade code across the stack.
• Build the hard parts hands-on: agents and sub-agents, MCP servers, RAG pipelines, evals, and integrations against real systems of record.
• Be the primary technical owner of the engagement, partnering with the customer’s engineers, domain experts, and leadership.
• Codify what works into reusable building blocks, playbooks, and repeatable deployment patterns.
• Bring the field back to product: surface deployment friction and eval-driven signal that sharpens what gets built next.
• Build against financial systems and data with the accuracy, auditability, and controls the domain requires.

Conocimientos

Python

TypeScript

LLMs / Prompting

Distributed systems

Stakeholder management

Herramientas

Python

TypeScript

Descripción del empleo

Plank places forward-deployed engineers inside fintech teams to ship production AI where correctness and trust are the product: risk, underwriting, compliance, and financial co-pilots. Plank already builds AI financial co-pilots and climate-credit diligence with Prosperity, PayJoy, and Ezra Climate. You own delivery end to end, vendor-neutral across OpenAI, Anthropic, and open models.

What you will do

• Embed with a customer team, often on-site, and own delivery end to end: discovery, technical scoping, system design, build, and production rollout.
• Drive solutions from a 0 to 1 prototype through MVP to scale, writing and reviewing production-grade code across the stack.
• Build the hard parts hands-on: agents and sub-agents, MCP servers, RAG pipelines, evals, and integrations against real systems of record.
• Be the primary technical owner of the engagement, partnering with the customer's engineers, domain experts, and leadership.
• Codify what works into reusable building blocks, playbooks, and repeatable deployment patterns.
• Bring the field back to product: surface deployment friction and eval-driven signal that sharpens what gets built next.
• Build against financial systems and data with the accuracy, auditability, and controls the domain requires.

What we are looking for

• 4 to 10 years of engineering experience, ideally customer-facing or in deployment; former founders welcome.
• You write and review production-grade code across frontend and backend, with Python as a baseline and TypeScript a strong plus.
• Hands-on production experience with LLMs: prompt engineering, agent development, evals, RAG, and deployment at scale.
• A track record of scoping and shipping complex systems, and comfort with cloud, data pipelines, and enterprise environments.
• High agency and comfort with ambiguity: you turn vague business problems into concrete technical plans and own the outcome.
• Strong communication and stakeholder management, from technical discovery to the executive relationship.
• Interest or experience in fintech: payments, risk, underwriting, or financial compliance.

Nice to have

• Experience with financial data, fraud and risk systems, or regulated workflows.