ITS Partner

What We Are Looking For
<ul>
<li>Backend: Python 3.12+, FastAPI, asyncio, WebSocket, and REST APIs. Experience with gRPC is a plus.</li>
<li>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.</li>
<li>AI tooling: RAG, MCP, prompt engineering, context enrichment, conversation history management, and external API integrations.</li>
<li>ML/LLM fundamentals: At least basic nderstanding of transformers architecture and attention mechanisms, tokenization, embeddings, context windows, and data pipeline fundamentals.</li>
<li>Quality and infrastructure: Automated testing, mocking external services, LLM evaluations and guardrails; Docker, CI/CD, AWS, and basic familiarity with Kubernetes/Helm.</li>
<li>Nice to have: Real-time audio streaming, Gemini Live, ElevenLabs TTS/STT, AWS Connect, DynamoDB, MQTT, and IoT integrations.</li>
<li>The role focuses on reliable production AI systems, not training models from scratch.</li>
</ul>
Alternative Language Backgrounds
<ul>
<li>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:</li>
<li>C++ – systems engineering, concurrency, networking, and performance.</li>
<li>Go – backend services, cloud infrastructure, and gRPC.</li>
<li>Java / Kotlin – production backend systems and service integrations.</li>
<li>C# / .NET – asynchronous APIs and cloud applications.</li>
<li>Rust – systems programming, asynchronous networking, and reliability.</li>
<li>TypeScript / JavaScript (Node.js) – API development, asynchronous services, and LLM integrations.</li>
</ul>

AI Backend Engineer, Nexus

AI Backend Engineer, Nexus

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