Generative AI & Agentic AI Engineer

About the opportunity

Build the next generation of intelligent applications with Generative AI, large language models, and autonomous AI agents. Join a collaborative engineering team to develop production-ready AI solutions, automate complex workflows, and transform business operations using modern AI technologies. Ideal for professionals with hands-on project experience in Generative AI and Agentic AI.

What you will do

• check_circle Design and develop Generative AI applications using large language models, prompt engineering, and modern model APIs.
• check_circle Build AI agents capable of tool calling, multi-step reasoning, task planning, and workflow automation using suitable agent frameworks.
• check_circle Implement retrieval-augmented generation (RAG) pipelines integrating enterprise documents, vector databases, embeddings, and semantic search.
• check_circle Develop reliable backend services and integrations using Python, REST APIs, and cloud-based AI infrastructure.
• check_circle Evaluate model quality, improve response accuracy, and implement guardrails, observability, and responsible AI practices.
• check_circle Collaborate with engineering, product, and business teams to translate requirements into scalable AI-powered solutions.
• check_circle Document AI architectures, conduct testing, troubleshoot deployment issues, and contribute to continuous improvement of AI applications.

What we are looking for

• arrow_circle_right Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field, or equivalent practical experience.
• arrow_circle_right Hands-on experience or demonstrable project work involving Generative AI, LLMs, prompt engineering, and AI application development.
• arrow_circle_right Proficiency in Python, with familiarity with REST APIs, JSON, and software development fundamentals.
• arrow_circle_right Understanding of RAG architectures, embeddings, vector databases, and frameworks such as LangChain, LangGraph, or equivalent tools.
• arrow_circle_right Knowledge of AI agent concepts, tool calling, workflow orchestration, evaluation, and AI safety fundamentals.
• arrow_circle_right Familiarity with Git, Docker, and at least one cloud platform such as AWS, Microsoft Azure, or Google Cloud is preferred.

Skills & Tech Stack