About the role
We are looking for AI Engineers to design and deliver intelligent, agent-based solutions powered by Large Language Models (LLMs) and modern AI frameworks. You will work closely with cross-functional teams to embed Generative AI into products and services, building scalable solutions that drive real business impact.
What You’ll Do
- Design and build agent-based AI solutions using LLMs and advanced frameworks - Integrate Generative AI into production systems and business applications - Develop APIs and backend services using Python (FastAPI / Flask) - Deploy AI applications on Azure, AWS, or GCP using Docker, Kubernetes, and serverless technologies - Optimize prompts, fine-tune LLMs, and implement MLOps/LLMOps pipelines - Collaborate with product, engineering, and business teams in a fast-paced environment
Requirements
What You’ll Bring
- Strong proficiency in Python, including asynchronous programming - Hands-on experience with Generative AI and LLM techniques (RAG, fine-tuning) - Experience designing agent workflows (ReAct, Chain-of-Thought, planning) - Familiarity with frameworks such as LangChain, LangGraph, Vertex AI, Claude SDK, or Microsoft Agent Framework - Experience with cloud platforms (Azure, AWS, or GCP) and containerization - Solid understanding of MLOps/LLMOps best practices - Strong communication and problem-solving skills
Experience Levels
- Junior (1–2 years): Build agent tasks, develop and test prompts, support deployments - Mid-Level (3–5 years): Design workflows, optimize prompts, mentor junior engineers - Senior (5+ years): Architect multi-agent systems, define standards, lead large-scale deployments
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field - Scrum or Project Management certification is a plus - Immediate availability is advantageous
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