About the Role
Join a fast-growing automation startup backed by top-tier investors, building AI that truly helps Managed Service Providers (MSPs). Instead of shipping demos, you’ll design and deploy production-grade agentic AI systems that free IT engineers from repetitive work.
Key Responsibilities
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Design AI features: natural-language workflow creation, autonomous agents, and context-aware automation.
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Build safe agentic systems that balance autonomy, human input, and escalation.
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Optimize production AI: prompts, RAG pipelines, inference performance (speed, cost, reliability).
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Integrate AI into workflows with LangChain, LlamaIndex, and custom orchestration.
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Collaborate with cross-functional teams to turn prototypes into shipped features.
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Address challenges like hallucination reduction and empathetic AI interactions.
Tech Stack
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Core: Python, FastAPI, Celery, PostgreSQL, React
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AI/ML: OpenAI, Anthropic, Mistral/LLaMA, LangChain, Pinecone
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Infra: AWS/Azure, Kubernetes, Docker, Redis
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Observability: LLM telemetry, cost optimization
Requirements
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5+ years software engineering, 2+ years shipping production AI/ML systems.
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Expertise in LLM integration (RAG, agentic AI, prompt engineering).
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Experience designing safe human-AI interaction patterns.
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Strong with LangChain or custom orchestration frameworks.
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User-focused builder mindset; empathy for MSP/IT pain points.
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Excellent communication skills.
Nice-to-Haves
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Open-source LLM fine-tuning/hosting experience.
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Contributions to AI open-source (e.g., LangChain).
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Skills in inference observability & cost optimization.
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Automation, agent systems, or MSP workflow background.
Why Join
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Meaningful impact: Directly improve IT engineers’ lives.
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Autonomy & ownership in AI decision-making.
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Competitive salary + equity + benefits.
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Remote-first, results-driven culture.