(Junior) AI Native Software Engineer (all genders)
Core
Design, build, and ship production-grade full-stack software that connects to and supports agentic AI systems, LLM APIs, and enterprise AI pipelines.
Role type
Junior AI Native Software Engineer
Builds
Full-stack applications integrating with agent architecture and AI pipelines for real client programs across industries
Domain
Enterprise software engineering with AI/LLM integration
Deliverable
production ML models
Required skills
Python, Java, TypeScript, LLM API integration, token management, AI coding assistants, prompt engineering, SQL/NoSQL, Docker, CI/CD, Agile, agentic system concepts (LangChain/LangGraph/RAG)
Preferred skills
Production experience with agentic systems, advanced AI tooling usage
Technologies
Python, Java, TypeScript, JavaScript, HTML, CSS, AWS, Azure, GCP, Docker, LangChain, LangGraph
Responsibilities
Integrate LLM APIs into production applications; use AI coding assistants daily for coding, testing, debugging, and code review; own quality of AI-generated outputs; define and track KPIs for AI-assisted workflows; build application layers connecting full-stack systems to agentic backends; deliver end-to-end in Agile sprints; contribute to internal AI tooling standards
Seniority
Junior, hands-on IC