This is a high-ownership role for an engineer who is equally comfortable architecting backend automation pipelines and crafting polished, data-rich interfaces. You will work across the full stack, collaborating closely with AI/ML engineers, product managers, and UX designers to ship automation capabilities that are powerful, reliable, and intuitive to use.
Key Responsibilities
- Architect and develop RPA agent pipelines integrated into our core SaaS platform
- Build responsive, data-rich frontend interfaces that surface automation insights to end users
- Design semantic context layers that give RPA agents the knowledge they need to make intelligent decisions
- Collaborate with AI/ML engineers to integrate language models and decision engines into automation workflows
- Contribute to the data platform layer - ingestion, transformation, and exposure via APIs and UI
- Participate in design reviews, code reviews, and technical roadmap planning
- Mentor mid-level engineers and help define engineering best practices
Required Qualifications
- Senior-level full stack development experience (Node.js or Python backend; React or Vue frontend)
- Proven experience building or integrating RPA solutions (UiPath, Automation Anywhere, Power Automate, or custom agent frameworks)
- Familiarity with LLM integration patterns including RAG, tool-calling, and prompt engineering
- Experience with semantic or knowledge graph layers, ontology-based systems, or structured context stores
- Strong grasp of RESTful and event-driven API design
- Exposure to cloud-native infrastructure (AWS, Azure, or GCP)
- Must have prior remote work experience and be fluent with remote collaboration tools (Slack, Zoom, Google Workspace, or similar)
Preferred Qualifications
- Experience with vector databases such as Pinecone, Weaviate, or pgvector
- Background in agentic AI frameworks such as LangChain, AutoGen, or CrewAI
- Familiarity with data pipeline tooling including dbt, Airflow, or Spark
- Experience working in a B2B SaaS product environment
Tools & Technology
- Python / Node.js
- React / TypeScript
- RPA platforms (UiPath, Power Automate, or similar)
- Cloud platforms (AWS, Azure, or GCP)
- Vector or graph databases
- Slack, Zoom, Google Workspace