Required Experience

Five or more years of software engineering experience, including ownership of complex systems from design through production.

Hands-on experience building AI-enabled applications, including agentic workflows, LLM integrations, evaluation systems, and production AI pipelines.

Strong Python expertise, including asynchronous services, type-safe application development, API design, testing, and scalable backend systems.

Strong React and TypeScript expertise, with experience building polished, reliable, and maintainable product experiences.

Experience with RAG, embeddings, vector search, context engineering, or other retrieval-based AI architectures.

Understanding of security, privacy, access control, and data-governance considerations for AI systems.





Strong distributed systems fundamentals, including event-driven architectures, message queues, background workers, job pipelines, and state management.

Fluency with relational databases and strong data-modeling judgment.

Strong judgment around how AI systems should be tested, evaluated, monitored, and improved in production.

- Strong programming experience in Python and/or TypeScript/JavaScript.
- Strong understanding of LLMs, transformers, prompt engineering, embeddings, and vector search.
- Hands-on experience building AI agents or agentic applications.

📌 AI Engineer with Fullstack Developer (Argentina)
🏢 TekValue IT Solutions
📍 Argentina