Fullstack AI Harness Engineer (Python/React)
Anitech Solutions
The role focuses on building 'harnesses' — tools and frameworks for testing, simulation, validation, execution, and monitoring of complex workflows, agents, or integrations. You will work on both frontend (React) and backend (Python) to create internal platforms and developer-facing tooling that improve engineering velocity and system reliability. The context is AI technology solutions, likely supporting the company's flagship education product tapybl. This is more about infrastructure and test automation than typical product feature development.
Brakuje: no details about team size or structure, no description of the product or project specifics beyond generic ai/llm.
The role focuses on building 'harnesses' — tools and frameworks for testing, simulation, validation, execution, and monitoring of complex workflows, agents, or integrations. You will work on both frontend (React) and backend (Python) to create internal platforms and developer-facing tooling that improve engineering velocity and system reliability. The context is AI technology solutions, likely supporting the company's flagship education product tapybl. This is more about infrastructure and test automation than typical product feature development.
- ✓Fully remote B2B with clear salary range
- ✓Role focuses on building developer-facing tools and improving engineering velocity, indicating a strong engineering culture
- ✓Opportunity to work on harnesses for AI/LLM systems, which is a cutting-edge area
- !The phrase 'move fast and make smart engineering tradeoffs' may imply a fast-paced environment with occasional technical debt
- !The mention of Angular as an alternative to React could indicate legacy or multiple frontend stacks
- !No information about team size or specific product context beyond tapybl
- •Build and maintain full stack applications using Python backend and React frontend
- •Design and implement REST APIs, services, and orchestration layers for product workflows and internal tools
- •Develop harnesses for testing, simulation, validation, execution, and monitoring of complex workflows or AI agents
- •Create reusable frameworks for automated test runs, sandboxed environments, synthetic data generation, scenario replay, and regression validation
- •Build developer-facing tools to improve engineering velocity, quality, and repeatability
- •Implement logging, tracing, observability, and error-handling across systems
- •Integrate external services, APIs, and third-party tools into internal platforms
Oferta dla doświadczonych specjalistów (Senior).
A mid-level engineer with at least a couple of years of full-stack development (Python/React) and some exposure to building internal tools or automation frameworks. Must be comfortable with CI/CD, REST APIs, and databases.
Not for engineers who prefer pure frontend or backend work without infrastructure or automation responsibilities. Also not for juniors without production experience in both Python and React.
- ?How many engineers are on the team, and how is the work split between frontend and backend?
- ?What specific workflows or agents are the harnesses designed for?
- ?Is the role primarily focused on the tapybl product, or are there other clients/projects?
- ?What does 'autonomous environment' mean in practice — how is work prioritized?
- ?Are there on-call duties or expectations for incident response?
- ?What is the engineering culture like — do they practice code reviews, pair programming, or have a strong CI/CD culture?
- −No details about team size or structure
- −No description of the product or project specifics beyond generic AI/LLM
- −No information about on-call or incident management
- −No mention of vacation or benefits beyond B2B salary
The team likely values autonomy and engineering velocity, with a focus on building internal tools and improving developer experience. The culture appears to be collaborative across product, design, and platform teams.
Poniżej mediany rynkowej
Dane z aktywnych ofert zawierających technologię Python. Pełne statystyki zarobków →