AI Backend Engineer, Nexus

AI Backend Engineer, Nexus

 

 

What We Are Looking For:

  • Backend: Python 3.12+, FastAPI, asyncio, WebSocket, and REST APIs. Experience with gRPC is a plus.
  • LLM integrations: AWS Bedrock experience is required; or/and familiarity with Anthropic Claude API, OpenAI API, and Google Gemini API, Vertex AI, etc. Experience with streaming APIs, tool/function calling, and multi-step agent workflows.
  • AI tooling: RAG, MCP, prompt engineering, context enrichment, conversation history management, and external API integrations.
  • ML/LLM fundamentals: At least basic nderstanding of transformers architecture and attention mechanisms, tokenization, embeddings, context windows, and data pipeline fundamentals.
  • Quality and infrastructure: Automated testing, mocking external services, LLM evaluations and guardrails; Docker, CI/CD, AWS, and basic familiarity with Kubernetes/Helm.
  • Nice to have: Real-time audio streaming, Gemini Live, ElevenLabs TTS/STT, AWS Connect, DynamoDB, MQTT, and IoT integrations.
  • The role focuses on reliable production AI systems, not training models from scratch.

Alternative Language Backgrounds:

  • Python is our primary implementation language, but prior Python expertise is not a strict requirement. We also welcome strong engineers whose main background is in:
  • C++ – systems engineering, concurrency, networking, and performance.
  • Go – backend services, cloud infrastructure, and gRPC.
  • Java / Kotlin – production backend systems and service integrations.
  • C# / .NET – asynchronous APIs and cloud applications.
  • Rust – systems programming, asynchronous networking, and reliability.
  • TypeScript / JavaScript (Node.js) – API development, asynchronous services, and LLM integrations.

Application Form

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