Rewst is hiring a Senior AI Developer to build AI-powered features that eliminate mundane tasks and simplify complexity for MSPs. You’ll focus on real-world impact, designing intelligent, agentic capabilities that augment human work and shipping production code.
What You'll Do
- Design and build AI-powered features embedded directly into 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.
- 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.
- 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.
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.
- Strong communication skills—can bridge technical complexity with user-facing value.
- A builder mindset: you think in product, not just models.
Nice to Have
- Experience with automation/RPA, agent-based systems, or the MSP space.
- 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.
Technical Stack
- Languages & Frameworks: Python, FastAPI, Celery, React (for UI).
- Databases & Infrastructure: PostgreSQL, Redis, Docker, Kubernetes.
- LLM Providers: OpenAI, Claude, open-source LLMs (e.g., Mistral, LLaMA).
- Agent Orchestration: LangChain, custom orchestration layers.
- Cloud: AWS and Microsoft Azure.
Company Culture
We maintain a collaborative and inclusive culture that values creativity, diversity, and innovation.
Benefits & Compensation
- Competitive compensation package, including equity options and benefits.
- Flexible work arrangements and a supportive work-life balance.
Work Mode
This role operates on a hybrid schedule.
