
Senior Full Stack Engineer
Posted 6 days ago

Posted 6 days ago
This is a fully remote position, open to applicants in Colombia.
• Design and develop RPA agent pipelines that are integrated into the main SaaS platform.
• Create responsive and data-rich frontend interfaces that deliver automation insights to end users.
• Develop semantic context layers that empower RPA agents to make informed decisions.
• Work alongside AI/ML engineers to incorporate language models and decision engines into automation workflows.
• Contribute to the data platform layer through processes like ingestion, transformation, and API/UI exposure.
• Engage in design reviews, code evaluations, and technical roadmap development.
• Mentor mid-level engineers and assist in establishing engineering best practices.
• Collaborate with rapidly growing global companies via Hire Hangar.
• Extensive full stack development experience, particularly with Node.js or Python on the backend and React or Vue on the frontend.
• Demonstrated experience in building or integrating RPA solutions, such as UiPath, Automation Anywhere, Power Automate, or custom agent frameworks.
• Understanding of LLM integration patterns, including RAG, tool-calling, and prompt engineering.
• Familiarity with semantic or knowledge graph layers, ontology-based systems, or structured context stores.
• Solid understanding of RESTful and event-driven API design.
• Experience with cloud-native infrastructures like AWS, Azure, or GCP.
• Prior experience working remotely.
• Proficiency with remote collaboration tools such as Slack, Zoom, Google Workspace, or similar platforms.
• Completion of the application form in its entirety is required.
• Successful completion of a brief technical assessment is mandatory.
• English proficiency is necessary as specified in the application form.
• Availability to work from 9:00 AM to 5:00 PM EST is required as per the application form.
• Preferred experience with vector databases such as Pinecone, Weaviate, or pgvector.
• Preferred background in agentic AI frameworks like LangChain, AutoGen, or CrewAI.
• Preferred familiarity with data pipeline tools, including dbt, Airflow, or Spark.
• Preferred experience within a B2B SaaS product environment.
• Competitive and transparent compensation.
• Attractive pay structure.
• Genuine growth opportunities.
• Long-term career prospects.
• A brief technical assessment as part of the application process.
• Video interviews for candidates who meet the screening criteria.
Cloudera
Stellar Cyber
Pragmatike
Pragmatike
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