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Senior Backend Engineer – Agentic Systems

PulseRise Technologies

Location
Remote
Employment
Full-time
Level
Specialist
Category
Backend
Posted
Deadline

Description

We're looking for a Senior Backend / Platform Engineer to join an AI-first digital consultancy that helps large enterprises deploy agentic AI solutions across Europe. You'll build the core backend platform and orchestration layer that lets the company's Forward Deployed Engineers ship secure, reliable and reusable AI workflows to customers. If you've taken LLM or agentic features into production and enjoy the hard parts (orchestration, tool calling, state, observability, integrations), this role is for you.

Details:

Location: Remote, within Europe (EU-based)

Employment: Full-time, B2B contract only

Seniority: Mid-Senior

Core stack: Python, TypeScript, distributed systems, APIs, queues, databases, OAuth, webhooks, LLMs, agentic AI, observability, data pipelines

What you'll do

Design and build the backend platform and orchestration layer for agentic AI solutions

Create scalable, asynchronous, queue-based systems in Python and/or TypeScript

Implement LLM and agent patterns: tool calling, orchestration, state management

Build enterprise integrations (OAuth, webhooks, REST APIs, SDKs) and data ingestion/normalisation pipelines

Set up observability and evaluation for AI workloads: latency, cost, trace capture

Enable Forward Deployed Engineers to reuse secure, reliable building blocks for customer projects

Must have

4–6 years in backend engineering, platform engineering or distributed systems

Strong hands-on Python and/or TypeScript

Practical production experience with LLM or agentic applications (tool calling, orchestration, state management)

Experience with enterprise integrations: OAuth, webhooks, REST APIs, SDKs, data pipelines

Degree in Computer Science, Software Engineering or a related field

Based in the EU, available on a B2B basis

Nice to have

Additional European languages beyond English

Deep experience with enterprise integrations at scale

Interview process

Prepared technical assessment with the engineering team (1 hour)

Follow-up discussion (1 hour)

Apply at the source

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