
Backend Engineer
7 days ago
We are seeking a highly skilled backend engineer to join our team. This is an exciting opportunity for someone with deep Python expertise and a passion for pushing the boundaries of LLM-powered applications.
In this role, you will design and deploy scalable FastAPI services, integrate cutting-edge LLM workflows, and architect secure AWS infrastructure.
Key ResponsibilitiesBuild high-throughput, async APIs and micro-services in Python using FastAPI.
Integrate large-language-model workflows with providers like OpenAI, Anthropic, or custom models.
Design scalable, secure AWS infrastructure (ECS/EKS, Lambda, ElasticCache, S3, DynamoDB) with infrastructure-as-code.
Implement observability for AI and API services—structured logging, tracing, latency/cost dashboards, guardrails.
Automate blue-green or canary deployments through containerised CI/CD pipelines.
Collaborate with product teams to translate experimental AI-related proofs-of-concept into production-ready features.
5+ years backend Python experience, including 1+ year shipping LLM-powered applications.
Mastery of async Python patterns (asyncio, uvicorn, pydantic v2) and strong typing discipline.
Hands-on experience architecting cloud-native, horizontally scalable systems on AWS.
Familiarity with vector databases/search (PGVector, ChromaDB, Pinecone) and streaming token handling.
Solid grounding in DevOps practices—IaC, automated testing, security scanning, performance profiling.
Experience with LangChain, Agents-SDK, etc.
Machine Learning understanding and ideally some experience with training models.
This is a high-ownership environment where you'll work closely with product teams to build systems that blend backend engineering with the future of AI.
You'll have the opportunity to shape our voice, culture, and growth by building something that matters.
We're looking for someone who thrives in a fast-paced environment and enjoys building scalable, secure systems.
We offer a collaborative and dynamic work environment where you can grow professionally and personally.
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