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Ask HN: Who wants to be hired? (August 2026)

156 points · 477 comments · whoishiring

  1. ben102327 · · focus · HN ↗
    Location: La Center, WA, USA

    Remote: Yes

    Willing to relocate: Yes

    Technologies: Python, FastAPI, Node.js, React, Next.js, TypeScript, LangChain, LangGraph, LlamaIndex, OpenAI, Claude, Gemini, RAG, Agentic AI, Vector Databases (Pinecone, Weaviate, FAISS, pgvector), AWS (Bedrock, SageMaker, ECS, Lambda, EC2, S3), GCP, Docker, Kubernetes, PostgreSQL, Redis, Elasticsearch, Kafka, WebSockets, LiveKit, Deepgram, Whisper, ElevenLabs

    Résumé&#x2F;CV: <a href="https:&#x2F;&#x2F;drive.google.com&#x2F;file&#x2F;d&#x2F;16OnzHA6ljIFV0jh4TCLdAMgB5__BaW94&#x2F;view?usp=drive_link" rel="nofollow">https:&#x2F;&#x2F;drive.google.com&#x2F;file&#x2F;d&#x2F;16OnzHA6ljIFV0jh4TCLdAMgB5__...

    Email: benjaminkrueger1@outlook.com

    Summary:

    Senior AI Engineer with 9+ years of software engineering experience, including 5+ years building production AI applications. I&#x27;ve developed multimodal AI systems, RAG platforms, AI agents, real-time voice assistants, and LLM-powered automation for healthcare and enterprise products. My work spans the full stack—from React&#x2F;Next.js frontends to scalable Python&#x2F;FastAPI backend services running on AWS and GCP.

    I enjoy solving challenging AI infrastructure problems, including retrieval pipelines, agent orchestration, prompt engineering, semantic search, streaming AI, and low-latency inference. I have experience building production systems with LangChain, LangGraph, LlamaIndex, OpenAI, Claude, Gemini, and modern vector databases such as Pinecone, Weaviate, FAISS, and pgvector.

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