Backend Engineer for AI-Powered Applications

1 week ago

Islamabad, Islamabad, Pakistan beBee Careers Full time

**Key Role: Backend Engineer for AI-Powered Applications**

We are looking for a highly skilled backend engineer with expertise in Python and a passion for pushing the boundaries of large language model (LLM) applications. In this role, you will design and deploy scalable services using FastAPI, integrate cutting-edge LLM workflows, and architect secure infrastructure on AWS.

You will work closely with product teams to bring experimental AI features into production, ensuring they are fast, clean, and cost-aware. If you thrive in high-ownership environments and enjoy building systems that blend backend engineering with AI, we'd love to meet you.

Main Responsibilities:

  • Design and Deploy Scalable Services: Build high-throughput, async APIs and micro-services in Python using FastAPI.

  • Integrate LLM Workflows: Integrate large-language-model workflows (prompt engineering, embeddings, RAG pipelines) with providers like OpenAI or custom models.

  • Secure Infrastructure Architecture: Design scalable, secure AWS infrastructure (ECS/EKS, Lambda, ElasticCache, S3, DynamoDB) with infrastructure-as-code.

  • Implement Observability: Implement observability for AI and API services—structured logging, tracing, latency/cost dashboards, guardrails.

  • Automate Deployments: Automate blue-green or canary deployments through containerised CI/CD pipelines (GitHub Actions, ArgoCD).

  • Collaborate with Product Teams: Collaborate with product teams to translate experimental AI related proofs-of-concept into production-ready features.

Qualifications and Experience:

  • Python Expertise: 5+ years backend Python experience, including 1+ year shipping LLM-powered applications.

  • Async Patterns Mastery: Mastery of async Python patterns (asyncio, uvicorn, pydantic v2) and strong typing discipline.

  • Cloud-Native Systems: Hands-on experience architecting cloud-native, horizontally scalable systems on AWS.

  • Vector Databases: Familiarity with vector databases/search (PGVector, ChromaDB, Pinecone) and streaming token handling.

  • DevOps Practices: Solid grounding in DevOps practices—IaC, automated testing, security scanning, performance profiling.

Nice to Have Qualifications:

  • LangChain Experience: Experience with LangChain, Agents-SDK, etc.

  • Machine Learning Understanding: Machine Learning understanding and ideally some experience with training models.

About This Opportunity:

  • High-Owning Environment: Thrive in a high-ownership environment where you'll have the autonomy to shape our voice, culture, and growth.

  • Blend Backend Engineering with AI: Enjoy building systems that blend backend engineering with the future of AI.

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