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About the Role

You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, with a primary focus on our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll work across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability. This role is ideal for an engineer who enjoys pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly.

Responsibilities

Build the infrastructure that helps Deliveroo teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company.
Work on our open-weights serving stack — real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution.
Design scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that power real customer and internal automation use cases.
Push the cost and latency frontier of GPU inference — turning batch jobs that took days into hours and cutting inference cost by multiples — while giving product teams a clean choice across open-weight and closed-source models with reliability, fallback, observability, and cost controls built in.
Build platforms that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence.
Partner closely with ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives.
Shape the future of the centralized GenAI platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimization, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalization.

Requirements

BSc, MSc, or PhD in Computer Science or equivalent
3+ years of industry experience in software engineering
Strong backend engineering fundamentals, especially in Python and distributed systems.
Experience building production services, APIs, data pipelines, or ML infrastructure at scale.
Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization.
Hands-on experience with LLM inference and/or fine-tuning of open-weight models in production — serving (latency, throughput, batching, autoscaling, GPU utilization) and/or fine-tuning (SFT/DPO/LoRA).
Ability to work across ambiguous, fast-moving technical areas and turn customer use cases into reusable platform capabilities.
Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software.

Skills

Python
Distributed systems
Production services
APIs
Data pipelines
ML infrastructure
Observability
Debugging
Reliability
Incident response
Performance optimization
Cost optimization
LLM inference
LLM fine-tuning
Open-weight models
GPU serving
Real-time GPU serving
High-throughput batch inference
Model fine-tuning
SFT
DPO
LoRA
LLM Gateway
Agent Gateway
Evals infrastructure
Guardrails
Cost attribution
Scalable systems
High-performance systems
GPU autoscaling
Batch pipelines
Backend services
Observability
Latency optimization
Cost reduction
Rapid experimentation
Production standards
Monitoring
SLOs
Playbooks
Operational excellence
ML engineers
Product engineers
Data scientists
Platform teams
Reinforcement learning
RLHF
RLVR
Agent optimization
Post-training techniques
Agentic techniques
AI coding tools
Claude Code
Codex
Cursor
Software development lifecycle
Code generation
Testing
Monitoring
Software release
LLM inference engines
Serving frameworks
vLLM
SGLang
TensorRT-LLM
Distributed fine-tuning
Multi-node fine-tuning
Training pipelines
Data preparation
Evaluation
GPU performance
Multi-node inference
KV-cache optimization
Memory optimization
Quantization
FP8
INT8
AWQ
GPTQ
Cold-start tuning
Throughput tuning
Kubernetes
Cloud infrastructure
AWS
GCP
GPUs
Serverless GPU platforms
Modal
High-throughput batch systems
Model routing
Vendor abstraction
Developer platforms
Internal platforms
Self-serve infrastructure
AI agents
MCP servers
Eval systems
LLM observability
Tracing
RAG
Search
Vector databases

Experience Level

3+ years of industry experience in software engineering

Education Level

BSc, MSc, or PhD in Computer Science or equivalent

About the Company

Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition.
Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt.
Together, we’re unlocking new possibilities as one global team.

Equal Opportunity

At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!