AI Engineer

Responsibilities

Design, develop, and integrate AI solutions into organizational products, applications, and internal tools.
Develop and maintain AI pipelines, including Retrieval-Augmented Generation (RAG), AI chatbots, and LLM-powered applications.
Integrate Large Language Model (LLM) APIs, such as OpenAI, Google Gemini, and Anthropic Claude, with backend systems.
Develop and maintain AI-related services and applications using Python.
Collaborate with software developers, product owners, and data teams to deliver AI features that meet business requirements.
Test, evaluate, and optimize AI models, prompts, and workflows to improve accuracy, performance, and reliability.
Research and evaluate emerging AI technologies, frameworks, and tools to identify suitable solutions for business needs.
Follow software development best practices, including version control, code reviews, testing, and technical documentation.

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.
1–3 years of experience in AI Engineering, Python Development, Machine Learning, or a related field.
Good programming skills in Python, with the ability to write clean, maintainable, and production-ready code.
Understanding of fundamental AI and Machine Learning concepts, including classification, regression, embeddings, and Large Language Models (LLMs).
Hands-on experience integrating LLM APIs, such as OpenAI, Google Gemini, or Anthropic Claude.
Familiarity with AI frameworks and libraries such as LangChain or LlamaIndex.
Understanding of RESTful APIs, Git, and basic cloud platforms such as Google Cloud Platform (GCP), AWS, or Microsoft Azure.
Good analytical thinking, problem-solving skills, communication skills, and a willingness to learn new technologies.

Seargin doesn’t accept unsolicited resumes from recruiters or employment agencies.>