Role summary
AI Engineer with 10+ years of experience to design, build, and deploy advanced AI/ML, Generative AI, and Agentic AI solutions for enterprise applications.
This role combines hands-on engineering with strategic leadership, driving AI adoption across large-scale business workflows.
Responsibilities Build and deploy scalable AI & ML solutions into enterprise systems. Architect and integrate LLMs, RAG pipelines, and agentic AI that can reason, plan, and adapt.
Collaborate with product, data, and engineering teams to embed AI features into enterprise apps.
Lead MLOps/LLMOps practices including model deployment, monitoring, and governance. Ensure AI solutions meet enterprise security, performance, and compliance standards Mentor teams and influence enterprise AI transformation strategy.
Requirements Strong expertise in ML frameworks (TensorFlow, PyTorch, or equivalent). Proficiency in Python (plus Golang, Java, or similar languages).
Hands-on experience with LLMs, embeddings, RAG, prompt engineering, and agent orchestration.
Deep knowledge of MLOps, APIs, cloud platforms (AWS/Azure/Google Cloud Platform).
Experience with enterprise-grade AI integration, security, and compliance.
Excellent leadership, collaboration, and communication skills.