Senior AI Engineer

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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