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GenAIPythonAI/ML On-site

AI Engineer

Job Overview

This entry-level AI Engineer will work under close supervision to apply developing technical knowledge in Software Engineering and Generative AI, performing analytic, testing, modeling, and development tasks on smaller projects, and independently on larger… The role will help design, build, and deploy AI-enabled software solutions, including LLM-powered applications, retrieval-augmented generation (RAG) pipelines, and model-serving APIs, to meet business requirements.

Key points

  1. Perform assigned technical and analytic tasks using established methods and tools, documents methods and results, and escalate novel or ambiguous issues.

  2. Support development of AI-enabled applications and fix straightforward defects under close supervision.

  3. Build and maintain components of LLM-based solutions, including API integrations, prompt and tool/function-calling workflows, and basic RAG pipelines (chunking, embeddings, vector search).

  4. Clean, transform, and analyze data with Python, SQL, and data libraries; build simple ETL steps and visualizations.

  5. Bachelor’s Degree in Computer Science, Data Science, Engineering, Mathematics, or relevant STEM certification.

  6. Problem decomposition, clear communication, reading documentation, collaborating through code review, and explaining results to non-technical people.

  7. Python and Software Fundamentals.

  8. Core language: data types, control flow, functions, OOP, comprehensions, generators, decorators, exceptions, file I/O, virtual environments (venv, pip / uv).

Skills

SQLRAGPythonLLMsETLFastAPIREST APIsDocker

Experience: Entry-level · Job type: Full-time

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