Senior AI Developer

Company Description:

Rewst is a tool designed for Managed Service Providers (MSPs) to streamline and automate their processes, saving valuable time and effort. Our platform helps MSPs achieve big automation wins, resulting in increased productivity and efficiency. We value the flexibility of remote work and enjoy opportunities to collaborate in person on occasion.

We’re looking for a Senior AI Developer who doesn’t just know how to build with AI—but knows why it matters. Our ideal candidate understands (or instinctively thinks like) the MSP engineers who rely on Rewst: they’re overwhelmed, stretched thin, and need tools that give them time back—not just more noise.

Your job is to build AI that moves the needle. That means shipping features that eliminate mundane tasks, simplify complexity, and let MSPs focus on growing their business—not just running it. You’ll play a hands-on role designing intelligent, agentic capabilities that augment human work, not replace it. You’ll help us strike the right balance between automation and interaction—knowing when the human should stay in the loop, and when the system can act on its own.

This role is about real-world impact. If you’re tired of LLM demos that never ship or agents that hallucinate more than they help, this is your chance to build something better—with a team that values clarity, execution, and customer empathy.

What You’ll Do:

• Design and build AI-powered features embedded directly into our core automation workflows (e.g., natural language task creation, workflow analysis, AI-assisted bots)

• Work with large language models (e.g., OpenAI, Anthropic, open-source LLMs) via APIs or self-hosted

• Implement agentic AI frameworks that can take context-driven, autonomous action such as with our Agent Smith endpoint agent

• Tune prompts and inference pipelines to balance speed, accuracy, cost, and reliability

• Design systems that know when to escalate to human interaction and when to continue autonomously, ensuring a seamless MSP user experience

• Collaborate with product and engineering teams to bring ideas from prototype to production

• Evaluate and integrate relevant open-source tools or services (LangChain, LlamaIndex, Pinecone, etc.)

• Ship production code: this is a builder role, not just experimentation

Tech Stack:

While not exhaustive, we work primarily with:

• Python, FastAPI, Celery, PostgreSQL, Redis, Docker, Kubernetes, React (for UI)

• LLM providers: OpenAI, Claude, open-source LLMs (e.g., Mistral, LLaMA)

• Agent orchestration: LangChain, custom orchestration layers

• Cloud: AWS and Microsoft Azure

What We’re Looking For:

• 5+ years in software engineering, with 2+ years working directly with AI/ML systems, especially LLMs

• Experience integrating production-ready AI features (not just prototypes)

• Strong understanding of prompt engineering, embeddings, retrieval-based generation, and agent architecture

• Familiarity with agentic behaviors in LLMs—designing AI agents that act autonomously yet responsibly

• Thoughtfulness around human-AI interaction design—when to automate, when to ask, when to hand off

• Bonus: Experience with automation/RPA, agent-based systems, or the MSP space

• Strong communication skills—can bridge technical complexity with user-facing value

• A builder mindset: you think in product, not just models

Bonus Points For:

• Building or contributing to open-source AI tools, LangChain agents, or MCP

• Experience fine-tuning or hosting open-source LLMs

• Working in a fast-moving SaaS environment

• Hands-on experience with observability, telemetry, and cost optimization of AI inference

Why Join Us: 

• Opportunity to make a significant impact in a fast-growing startup environment

• Collaborative and inclusive culture that values creativity, diversity, and innovation 

• Competitive compensation package, including equity options and benefits

• Flexible work arrangements and a supportive work-life balance