Forward Deployed Engineer (FDE)

pofft Technology Inc.; Polska; Hybrid; PLN 300,000 - 460,000; Full time

Job summary

pofft Technology Inc. is seeking a Forward Deployed Engineer in Poland to embed with product teams, shaping AI-enabled solutions across data pipelines, model serving, and MLOps.

You will translate business needs into production-ready AI services and work hands-on across the stack. You will lead discovery, design new services when needed, and ensure reliability, observability, and performance while collaborating with stakeholders and engineers.

Qualifications

• 5+ years of software engineering experience across production systems.
• Proficient Python, and able to work with other languages.
• Experience with cloud-native services, Azure AKS, Blob Storage, Key Vault.
• Experience integrating LLMs into production apps and APIs.
• Experience building agentic applications using tools, APIs, and orchestration frameworks.
• Experience designing production RAG and retrieval architectures.

Responsibilities

• Embed directly with product teams to understand business flows and identify AI opportunities.
• Lead technical discovery to separate bottlenecks from symptoms.
• Spot where AI services can be applied or extended to solve problems and help design AI-first apps.
• If no existing service fits, gather requirements and collaborate to scope, design, and build a new service.
• Work hands-on with data pipelines, model training, serving, and MLOps tooling behind AI services.
• Ship a working first version quickly and then harden with monitoring and production-grade reliability.
• Translate product pain points into actionable input for the AI services roadmap.
• Collaborate with product owners, stakeholders, and engineering leads, communicating trade-offs clearly.

Skills

Python

Cloud & Kubernetes

AI/LLM integration

Agentic systems

Retrieval & RAG

APIs & enterprise integration

Deployment & IaC

Other languages

Tools

Azure AKS

Blob Storage

Key Vault

Job description

Forward Deployed Engineer (FDE) Poland 20 saat 16 dakika önce yayınlandı. Full Time Himalayas -

As a Forward Deployed Engineer, R&D AI Services, you embed directly with product development teams to understand real business problems and work out the right way to solve them with AI: reusing and extending an existing AI service, or — when nothing suitable exists — scoping the requirements and working with the engineering team to build one. You are the bridge between a product team's business flow and a working AI capability: you know the AI service catalogue well enough to match the right service to the problem, you help teams build AI-first applications on top of it, and when a gap exists, you make sure the right thing gets built to close it.

This is a high-agency role for a hands-on senior engineer who is as comfortable in a stakeholder conversation about a business process as they are building and shipping the data pipeline or model-serving system behind it.

What you'll do

Embed directly with product teams (your internal customers) to understand their business flows and work out where AI genuinely helps

• Lead technical discovery: separate the actual bottleneck in a business process from the symptom the product team came to you with
• Know the existing catalogue of AI services well enough to spot where one could be applied or extended to solve a product team's problem, and help them design and build AI-first applications on top of it
• Where no existing service fits, gather and document the requirements yourself, then partner with the engineering team responsible for AI services to scope, design, and build the new service — you're hands-on throughout, not just handing off a ticket
• Get hands-on with the data pipelines, model training and serving, and MLOps tooling behind both new and existing AI services, plus the integrations that connect them into product workflows
• Ship a working first version fast, then harden it: proper monitoring, feedback loops from real usage, and production-grade reliability
• Translate product team pain points and business requirements into actionable input for the AI services roadmap
• Work directly with product owners, business stakeholders, and engineering leads — going deep into the data and code while communicating trade-offs clearly to non-technical audiences
• Be the connective tissue between IFS R&D's AI capability and the product teams consuming it — your field insights shape what gets built next

Qualifications

• 5+ years of software engineering experience, with strong hands-on capability building and deploying production systems and the ability to work across an unfamiliar stack when needed.
  • Languages: Strong Python, with the ability and willingness to work across other languages and existing customer codebases.
  • Cloud & Kubernetes: Experience building and operating cloud-native services. Azure experience - particularly AKS, Blob Storage, Key Vault, and Azure-hosted AI/model services - is highly relevant.
  • AI & LLM Integration: Experience integrating LLMs and AI services into production applications, including model APIs, authentication, gateways, reliability, latency, cost, and observability.
  • Agentic Systems: Experience building agentic applications using tools, APIs, and orchestration frameworks. Hands-on MCP experience is strongly preferred.
  • Retrieval & RAG: Hands-on experience designing production RAG and retrieval systems, including embeddings, vector databases, indexing, retrieval quality, and evaluation.
  • APIs & Enterprise Integration: Strong experience with REST APIs, authentication/authorization, external systems, data contracts, and debugging complex integrations.
  • Deployment & IaC:...

Skills

Payment Type

annual

Price Range

-

Work Type

Full Time

Location

Poland