Develop and evolve chatbots and AI solutions based on LLMs.
Integrate and customize AI models such as ChatGPT, Gemini, and Claude.
Implement Natural Language Processing (NLP) and Generative AI techniques for text analysis, retrieval, and generation.
Develop solutions using RAG (Retrieval-Augmented Generation), integrating LLMs with knowledge bases and vector databases.
Create, maintain, and optimize AI APIs for integration with internal and external systems.
Work with LLM engineering and structured outputs, using JSON, function calling, and output validation.
Support the development of multi-agent systems with LLMs, using frameworks such as LangGraph, CrewAI, AWS AI Agents, or Agent Development Kit (ADK).

Requirements

Hands-on experience in AI projects, with a focus on NLP and Generative AI.
Proficiency in Python for developing AI solutions and integrating with LLMs.
Knowledge of AI frameworks and APIs such as ChatGPT, Gemini, Claude, and LangChain.
Experience with RAG (Retrieval-Augmented Generation).
Familiarity with LLM-based multi-agent systems, using at least one of the following frameworks: LangGraph, CrewAI, AWS AI Agents, or ADK.
Experience with LLM engineering / structured outputs (JSON, function calling, structured responses).
Knowledge of machine learning with TensorFlow and/or PyTorch.
Experience with cloud computing (GCP and/or AWS) for deploying AI solutions.
Bachelor’s degree in Computer Science, Engineering, or a related field.
Good communication skills, autonomy, and the ability to work in a team.
Advanced English.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Natural Language ProcessingGenerative AIPythonRAGLLM engineeringJSONfunction callingTensorFlowPyTorchAI APIs

Soft Skills

communication skillsautonomyteamwork