Jahnel Group
Healthcare
FoundingEngineer(Python/AI/DataPlatform)
Neural analysis suggests this role is
optimal for Senior candidates.
“Founding Engineer (Python / AI / Data Platform) at Jahnel Group. Skills: AI, Data Platform, Python, LLMs. Design backend systems. Build backend systems”
Industry & Context.
Troubleshooting
What You'll Do.
Design backend systems
Build backend systems
Scale data ingestion pipelines
Develop evaluation frameworks
Improve system reliability
Productionize new ideas
Build systems for auditability
Build systems for explainability
Build systems for validation
Iterate on architecture
Iterate on performance
Iterate on product direction
How You'll Work.
Team & Collaboration
Close collaboration with founders
Full Job Description
Jahnel Group’s mission is to provide the absolute best environment for software creators to pursue their passion by connecting them with great clients doing meaningful work. Who We’re Looking For We’re looking for a Founding Engineer to help build the core data and AI infrastructure powering how healthcare policy information is structured, queried, and used in production systems. This is a high-ownership role in an early-stage environment where you will work directly with founders, define core architecture decisions, and build systems from the ground up. You’ll be responsible for turning complex, unstructured healthcare data into reliable, AI-powered infrastructure that scales. This role is ideal for someone who thrives in ambiguity, enjoys building end-to-end systems, and is excited about applying modern AI/LLM techniques to real-world data problems. Primary Responsibilities Design and build core backend systems using Python and SQL Build and scale data ingestion pipelines for unstructured healthcare policy data Define and evolve data models, schemas, and APIs for long-term platform scalability Build AI-powered pipelines using LLMs, embeddings, and RAG architectures Develop evaluation frameworks for LLM systems (testing, benchmarking, monitoring, QA workflows) Improve data quality, traceability, and system reliability across the platform Rapidly prototype and productionize new ideas in close collaboration with founders Build systems for auditability, explainability, and validation of AI-generated outputs Continuously iterate on architecture, performance, and product direction Some Must Haves: 5+ years of experience building backend or data-heavy systems Strong proficiency with Python, SQL, and Postgres Experience building data pipelines and data-driven software systems Hands-on experience with AI/LLM systems (RAG, embeddings, prompt engineering, evals, hallucination mitigation) Strong system design and architecture skills Experience working with cloud infrastructur
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