Job Description

Uphill Health is currently hiring a Senior Backend Developer - AI to join their amazing team

About the company:

At UpHill, their mission is to increase clinical capacity so healthcare professionals can focus on what matters most — the patients. Healthcare teams are either stretched thin by work that can be automated or weighed down by waste that can be avoided. UpHill's intelligent automated platform uses hospital data and patient conversations to turn chaos into useful and efficient interactions.

They build conversational AI agents, intelligent clinical pathways, and care orchestration tools that empower clinicians to work at their full potential — deployed across leading hospitals in Europe, with 100K+ lives impacted and over 1 million clinical interactions mediated. UpHill Route is a certified Class IIa Medical Device.

They're a team of curious and creative people who believe technology should enhance — not replace — the work of healthcare professionals. If you're excited about making a real impact in one of the most meaningful industries in the world, you just might be an Uphiller.

Today they're looking for a Senior Backend Developer to join their AI team and help them build the next generation of AI infrastructure for healthcare — powering clinical agents that interact with patients in real time, triage symptoms intelligently, and support clinical decision-making at scale.

Stack Used:

Python AI frameworks (e.g., LangChain and similar LLM orchestration tools)
AWS stack — ECS/Fargate (service architecture), SQS, EventBridge, S3, Bedrock — Terraform
PostgreSQL · Redis
Docker · GitHub Actions

Responsibilities:

Design and build AI agent pipelines Work closely with the engineering team to translate product and clinical requirements into reliable, production-grade services powering real-time patient interactions.
Develop and maintain backend microservices Write clean, well-tested, maintainable code. Ensure services are performant, scalable, and production-ready from day one.
Contribute to AWS cloud infrastructure: Participate in designing, deploying, and maintaining the AWS infrastructure supporting the platform — ECS clusters, SQS queues, EventBridge rules, and more.
Build and evolve internal tooling: Contribute to the shared SDK that other agents and services are built upon — raising the bar for consistency, reliability, and developer experience across the platform.
Showcase implemented solutions: Communicate and demonstrate technical solutions during sprint reviews, including design choices, trade-offs, and how the work ties back to product goals.
Define and uphold engineering conventions: Collaborate with the team to establish coding standards, review practices, and architectural patterns — then enforce them through code review and tooling.
Ownership mentality: You ship and maintain what you build.
Autonomous but collaborative: Capable of owning initiatives while working effectively with cross-functional teams (product, clinical, ops, etc.).
Product-focused: You care about the why as much as the how behind every feature.

Main requirements:

MSc/BSc in Computer Engineering, Software Engineering, or a related field
Minimum 5 years of backend development experience in production environments
Strong proficiency in Python
Experience building and integrating LLM-powered applications using Python AI frameworks (LangChain, LlamaIndex, or equivalent)
Experience in event-driven architecture — SQS, Kafka, or similar message queues
Experience with AWS services: ECS/Fargate, S3, SQS, EventBridge, AI services
Proficiency with PostgreSQL and Redis
Strong testing experience — Unit, Integration, E2E
Rigorous about code quality
Experience taking part in architectural discussions and decisions
Keen awareness of the evolving AI landscape, including LLM integrations and agent patterns in day-to-day engineering work
Strong observability mindset familiarity with tools like Datadog, CloudWatch, or OpenTelemetry — understands the importance of logging, metrics, and alerting in a production-grade SaaS product
Fluency in English

Strong plus:

Previous experience deploying Voice AI agents at scale is a strong plus.
Terraform or other Infrastructure-as-Code tools
Experience with real-time streaming or WebSocket-based systems
Background in healthcare, medical devices, or regulated industries
HL7v2 / FHIR knowledge
Experience with Java / Spring Boot services

What they offer:

Be part of a dynamic, mission-driven team shaping the future of healthcare
Competitive salary
Comprehensive health insurance
Top-tier equipment — new MacBook + budget for peripherals
Flexible schedule and hybrid work model
Direct impact on patient outcomes — the AI you build handles real clinical conversations
No-BS culture

Want to know more? Get in touch with us 👇

About Damia Group

Damia Group is a trusted talent solutions partner with over 30 years of experience supporting security-cleared environments, including defence, government, space, and aerospace.

We work closely with the UK’s leading prime suppliers, delivering high-quality staff augmentation and SOW-based project solutions across major technology and transformation programmes. Our long-standing client relationships are built on reliability, compliance, and a deep understanding of complex project demands.

With an actively managed network of specialist professionals, we connect the right talent to critical programmes quickly and effectively.

Our tailored approach and sector knowledge help organisations modernise their technology, strengthen security, streamline operations, and deliver business-critical transformation projects across both the public and private sectors.

If you need support in building an agile, blended workforce to deliver your business-critical transformation projects, get in touch with us today.

Industry

IT & Software

Company Size

51-200 employees

Headquarters

Guildford, GB

Year Founded

1995

Website

damiagroup.com

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