LLM Backend Engineer
LLM Backend Engineer
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Job Description
Build the Future of Wellbeing
Do Your Lifes Best Work
If modern wellbeing were redesigned from scratch it wouldnt live in a GPs office or a cluttered supplement aisle. It would be digitalfirst beautifully curated and powered by data that actually helps you feel your best.
Thats what were building at Healfan ecommerce platform at the intersection of personalised health and curated wellbeing. We connect customers with the worlds most effective products across EAT MOVE MIND and SLEEP and were just getting started.
We combine cultureshaping storytelling cuttingedge health tech (like our new blood testing platform Healf Zone) and a bestinclass product experience to help people build rituals that work.
Backed by investors behind Soho House Alo Yoga Cult Beauty and Innocent were scaling fastand redefining how the world shops and lives well.
The Role
Were looking for a Backend Engineer with deep Python expertise and a curiosity for pushing the boundaries of LLMpowered applications. In this role youll design and deploy scalable FastAPI services integrate cuttingedge LLM workflows (think embeddings RAG pipelines prompt engineering) and architect secure AWS infrastructure. Youll work closely with product teams to bring experimental AI features into productionfast clean and costaware. If you thrive in highownership environments and enjoy building systems that blend backend engineering with the future of AI wed love to meet you.
Location: Remote Open to global candidates
Key Responsibilities
Build highthroughput async APIs and microservices in Python using FastAPI.
Integrate largelanguagemodel workflows (prompt engineering embeddings RAG pipelines) with providers like OpenAI Anthropic or custom models.
Design scalable secure AWS infrastructure (ECS/EKS Lambda ElasticCache S3 DynamoDB) with infrastructureascode.
Implement observability for AI and API servicesstructured logging tracing latency/cost dashboards guardrails.
Automate bluegreen or canary deployments through containerised CI/CD pipelines (GitHubActions ArgoCD).
Collaborate with product teams to translate experimental AI related proofsofconcept into productionready features.
Qualifications
5years backend Python including 1year shipping LLMpowered applications.
Mastery of async Python patterns (asyncio uvicorn pydantic v2) and strong typing discipline.
Handson experience architecting cloudnative horizontally scalable systems on AWS.
Familiarity with vector databases/search (PGVector ChromaDB Pinecone) and streaming token handling.
Solid grounding in DevOps practicesIaC automated testing security scanning performance profiling.
Nice to Have
Experience with LangChain AgentsSDK etc.
Machine Learning understanding and ideally some experience with training models.
Why Join Healf
- Do your lifes best work Build something that matters with a team that moves fast and aims high
- Surround yourself with A talent Youll work with highperformers who care deeply and raise the standard every day
- Be a builder This isnt a coginthemachine role. Youll help shape our voice culture and growth
- Wellbeing is the lifestyle From office yoga to Healf Zone insights everything we do is rooted in our pillars: EAT MOVE MIND SLEEP
Employment Type
Full Time
