AI/ML Engineer

Design, develop, and deploy production-grade AI/ML solutions covering Agentic AI, RAG, LLMs, NLP, and Computer Vision for real-world business applications.

Build and optimize scalable AI systems including multi-agent workflows, fine-tuning LLMs, RAG pipelines, and Computer Vision pipelines with focus on latency, reliability, scalability, and cost.

Implement evaluation frameworks, AI governance, security measures, and production monitoring in collaboration with cross-functional teams to ensure secure and compliant AI deployments.

3+ years of experience in AI/ML engineering with real-world production deployments.

Strong Python programming skills and familiarity with backend frameworks like Flask, Django, or FastAPI.

Practical experience with NLP, LLM-powered applications, LLM fine-tuning, and building agentic or multi-agent AI systems.

Experience deploying AI/ML workloads on cloud platforms (AWS, GCP, or Azure) and knowledge of REST APIs, Docker, CI/CD, and MLOps practices.

Experienced AI/ML engineer comfortable working on complex, scalable production systems integrating multiple AI technologies (LLM, RAG, Computer Vision).

Familiar with deploying and optimizing AI models with a practical focus on system performance, security, and compliance.

Able to collaborate effectively with engineering, product, and compliance teams to translate business needs into secure, production-ready AI solutions.