Jahnel Group Logo

Jahnel Group

Founding Engineer (Python / AI / Data Platform)

Reposted 12 Days Ago
In-Office
New York, NY, USA
Senior level
In-Office
New York, NY, USA
Senior level
Build core data and AI infrastructure to ingest, model, and serve unstructured healthcare policy data. Design backend systems, data pipelines, LLM-powered RAG/embedding pipelines, evaluation frameworks, and platform APIs. Improve data quality, auditability, and system reliability while iterating rapidly with founders.
The summary above was generated by AI

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 infrastructure (AWS preferred)
  • Strong product mindset and ability to make tradeoffs between technical and business value
  • Comfort working in highly ambiguous, fast-paced environments
  • Proven ability to own projects end-to-end without heavy direction
Nice to Have:
  • Experience in healthcare, payer/provider, or health tech domains
  • Startup or early-stage founding team experience
  • Experience with FastAPI or similar backend frameworks
  • Familiarity with modern data warehouses (e.g., Snowflake)
  • Exposure to TypeScript/React frontend development
  • Experience with Terraform or infrastructure-as-code
  • Experience with containerized systems and orchestration

Where We’re Looking For It
  • New York 
Other Information

This is a high-impact founding role working directly with company leadership. Expect fast iteration, high autonomy, and significant ownership of core systems. Work hours align with US collaboration needs.

Position available immediately.

Similar Jobs

3 Minutes Ago
Remote or Hybrid
USA
Senior level
Senior level
Software
Lead DevSecOps role focused on embedding application security into the SDLC: implement SAST/DAST/SCA and secrets management, secure Azure deployments, integrate security into CI/CD, manage vulnerabilities and compliance, mentor teams, and automate secure infrastructure with IaC (Terraform).
Top Skills: Api SecurityAquaAzureAzure DevopsAzure Key VaultAzure Security CenterBlack DuckBurp SuiteCheckmarxCi/CdDastGithub Advanced SecurityHashicorp VaultMendMicroservicesOwasp ZapPrisma CloudSastScaSecrets ManagementSemgrepSnykSonarqubeTerraformVeracodeWiz
3 Minutes Ago
Remote or Hybrid
USA
Senior level
Senior level
Software
Design and implement significant features, analyze product and database architecture for improvements, build RESTful APIs, enhance infrastructure and CI/CD, lead code reviews, mentor junior developers, and collaborate in agile ceremonies to improve reliability and efficiency.
Top Skills: .Net.Net CoreApplication InsightsAsp.Net MvcAzure App Service PlansAzure App ServicesAzure FunctionsC#Ci/Cd (Build And Release Pipelines)CSSDapperEntity FrameworkInfrastructure-As-CodeJavaScriptReactRestful ApisSlot-Based DeploymentSQLT-SqlTypescript
6 Minutes Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
123K-164K Annually
Mid level
123K-164K Annually
Mid level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Lead go-to-market strategy and launches for Datadog Incident Response products. Create messaging, sales enablement, and customer marketing assets; partner with Product, Sales, and Marketing to drive adoption, campaigns, and cross-team projects to accelerate product growth.
Top Skills: DatadogIncident AiIncident ManagementIncident ResponseItsmObservabilityOn-Call

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account