Senior AI Engineer

📋 Description

• Lead complex technical engagements with enterprise customers, taking responsibility for delivery
• Manage multiple concurrent workstreams, coordinating resources, milestones, workplans, and
• Act as the primary technical escalation point, identifying delivery risks and driving resolutions
• Build agentic AI systems and multi-agent frameworks to automate complex enterprise workflows.
• Design and deploy LLM-powered applications using retrieval-augmented generation (RAG), fine-tuning
• Implement AI guardrails, evaluation frameworks, and responsible AI controls to ensure reliability

🎯 Requirements

• At least 5 years of hands-on AI/ML engineering experience, including end-to-end model development
• Demonstrated experience leading complex enterprise technical engagements involving multiple
• Proven experience building and deploying LLM-powered applications, including RAG pipelines, agentic
• Strong Python programming skills and practical experience with machine learning frameworks such as
• Familiarity with LLM development tools and frameworks such as LangChain, LlamaIndex, or equivalent
• Experience deploying AI services in enterprise or cloud environments, including AWS, Azure, GCP, or

🎁 Benefits

• Competitive total rewards package.
• Remote-friendly culture.
• Flexible working environment.
• Opportunity to work with a world-class team of AI professionals.
• Career growth and professional development opportunities.