Forward Deployed Engineer

Bandpey; Union (NJ); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Bandpey benefits

Job summary

Bandpey is seeking forward deployed engineers to bring AI products to life at client sites across Europe and beyond. You will write production code, design agents, tools, and integrations, and ensure the system runs end-to-end with real users.

The role combines hands-on software engineering with customer collaboration; you’ll deploy, monitor, and iterate on deployments, with travel to Europe as needed and strong emphasis on clear communication and reliable software.

Qualifications

• Several years of hands-on software engineering experience.
• Production systems you designed, shipped and operated.
• Experience with large language models in production is a plus.

Responsibilities

• Work directly with client teams to understand workflows and constraints.
• Design and build production AI systems: agents, tools, pipelines and evaluations.
• Deploy and integrate products at client sites and ensure reliable operation.
• Prototype quickly, then harden into observable software.
• Own releases with the client from start to finish: deployment, monitoring and handover.
• Translate field learnings into reusable components and better defaults.

Skills

Python/TypeScript

Rust

LLM production

Cloud infra

APIs

Databases

CI/CD

English fluency

German helpful

Job description

About Bandpey

Bandpey GmbH is an international data and AI software company in Munich, Germany. We build agent-first products, Facthory, Emolysis, Copolly and Inteliwert, and we design, build and operate production AI systems for enterprises.

The role

Forward deployed engineers are where our products meet real work. You sit with a client's operators, engineers and decision makers, find the workflow where AI can change the outcome, and build the system that does it: agents, tools, integrations, evaluations and the infrastructure to run them. You write production code, not slide decks, and you stay until the system is used.

What you will do

• Work directly with client teams to understand their workflows, data and constraints, and agree what a useful first release looks like.
• Design and build production AI systems: agents, retrieval and knowledge pipelines, tool integrations, evaluations and guardrails.
• Deploy Facthory, Emolysis, Copolly or Inteliwert where they fit, and build the engineering around them where they do not.
• Prototype quickly to answer the hardest questions early, then harden what works into reliable, observable software.
• Own releases with the client from start to finish: deployment, monitoring, incident response and handover.
• Turn what you learn in the field into product feedback, reusable components and better defaults for the whole team.

What you bring

• Several years of hands-on software engineering, including production systems you designed, shipped and operated.
• Strong programming skills in Python or TypeScript; Rust is a plus.
• Experience building with large language models in production: context engineering, tool use, retrieval and evaluations.
• Comfort across the stack: APIs, databases, cloud infrastructure on Google Cloud, Azure or AWS, containers and CI/CD.
• The judgement to scope ambiguous problems, and the communication skills to explain trade-offs to engineers and executives alike.
• Willingness to work on site with clients in Europe when the work needs it.
• Fluent English. German is a strong plus.

Nice to have

• Experience as a forward deployed, solutions or field engineer, or as an early engineer at a start-up.
• Hands-on experience with agent harnesses, the Model Context Protocol and AI coding agents such as Claude Code.
• Data engineering experience with Databricks, Spark or a lakehouse.
• A background in regulated industries such as healthcare, financial services or manufacturing.

How we work

• A small team of engineers who build and run our own products, working directly with the founders.
• Remote within the EU, with time on site with clients when it helps the work.
• Spec-first, test-backed engineering with modern AI tooling. Our technology radar shows what we use.