Generative AI Engineer

Key Responsibilities.

Design, develop, and deploy AI-powered applications and workflows.

Build integrations with OpenAI, Azure OpenAI, Anthropic, and Gemini.

Develop APIs, backend services, and automation solutions.

Implement RAG (Retrieval-Augmented Generation), AI Agents, Prompt Engineering, and Vector Search capabilities.

Collaborate with stakeholders to identify and prioritize AI opportunities.

Optimize application performance, scalability, and security.

Required Qualifications.

Bachelor’s degree in Computer Science, Software Engineering, or a related field.

3+ years of experience in software development.

1+ year of experience building AI or Generative AI applications.

Strong proficiency in Python.

Experience working with APIs, cloud platforms, and modern application architectures.

Excellent problem-solving, analytical, and communication skills.

Advanced English proficiency (C1 level required).

Technical Skills.

Programming Languages & Databases

Python

JavaScript / TypeScript

SQL

Artificial Intelligence & Machine Learning

Generative AI

Large Language Models (LLMs)

Prompt Engineering

AI Agents

Retrieval-Augmented Generation (RAG)

Frameworks & Tools

LangChain

LangGraph

Semantic Kernel

LlamaIndex

Cloud & DevOps

Azure, AWS, or Google Cloud Platform (GCP)

Git

CI/CD Pipelines

Docker