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Python API Developer

$65 - $70 per hour

Artech Information Systems LLC

Location: within 50 miles of Charlotte, NC - 4 days on site mandatory in a week

Pay Range: $65-$70/Hr.

Applicants must be able to work directly for Artech on W2 from Day 1

Introduction

This role emphasizes full ownership of a FastAPI microservice integrated with an enterprise agentic AI platform. The ideal candidate is a self-sufficient full stack engineer with deep backend expertise who can identify scope, drive work independently, and deliver production-quality software from day one.

Required Skills & Qualifications
  • 8 years of full stack software engineering experience.
  • Expert-level Python - clean, production-ready, type-safe code.
  • Deep hands-on experience with FastAPI and Pydantic for building and maintaining microservices.
  • Proficiency in front-end development: React, TypeScript, HTML, and CSS.
  • Experience with Node.js and web server technologies (Apache or equivalent).
  • Strong database skills across multiple paradigms: MongoDB, SQL (PostgreSQL/MySQL), and Redis.
  • Demonstrated experience building, consuming, and owning RESTful APIs in production environments.
  • Experience working on or integrating with AI applications - familiarity with LLM-powered services, AI APIs, or ML-driven features.
  • Self-directed and autonomous - able to own a service end-to-end, define scope, identify what needs to be done, and execute without heavy oversight.
  • Strong written and verbal communication skills; able to collaborate effectively across engineering and AI teams.
  • Prior work experience at client or in client's Industry
Applicants must be able to work directly for Artech on W2

Preferred Skills & Qualifications
  • Experience with LangChain and/or LangGraph for building or integrating agentic workflows.
  • Familiarity with vector databases (e.g., Elasticsearch, Pinecone, Weaviate) and RAG patterns.
  • Understanding of LLM behavior, prompt engineering, and context management.
  • Experience with LangSmith or similar LLM observability and tracing tools.
  • Background in data pipelines, streaming, or batch processing.
  • Experience in enterprise or financial services engineering environments.
Day-to-Day Responsibilities
  • Own the full lifecycle of a FastAPI microservice: design, implementation, testing, deployment, and ongoing maintenance.
  • Build and expose robust, well-documented RESTful APIs using FastAPI and Python, enforcing data contracts with Pydantic.
  • Develop front-end interfaces and components using React, TypeScript, HTML, and CSS.
  • Integrate with relational and NoSQL databases including MongoDB, SQL, and Redis for caching, persistence, and session management.
  • Partner with AI engineers to incorporate LLM-driven features, agentic workflows, and AI model outputs into the microservice.
  • Serve Node.js and/or Apache-backed services as part of a broader microservices ecosystem.
  • Ensure secure, scalable, and maintainable architecture across all layers of the stack.
  • Drive development across the full spectrum of service work: new feature development, performance optimizations, and technical debt remediation - balancing delivery velocity with long-term maintainability.
  • Proactively identify technical debt, architectural gaps, and new workstreams - owning them through to completion.
  • Implement observability and monitoring instrumentation to ensure operational health of owned services.
  • Write clean, type-safe, production-grade Python code adhering to best practices and team standards.
Company Benefits & Culture
  • Comprehensive health, dental, and vision insurance.
  • Flexible work schedule and remote work opportunities.
  • Opportunities for professional development and growth.

For immediate consideration please click APPLY or contact me directly at View email address on click.appcast.io
Vacancy posted 3 days ago
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