Senior AI Engineer, Enterprise AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Spearhead the development of AI-driven solutions, which encompass designing RAG models, agent workflows, and multi-step reasoning models.

• Create agentic automation solutions aimed at enhancing IT business processes.

• Conduct analysis of unstructured data.

• Integrate ML/GenAI models and orchestrate LLMs into end-user AI applications.

• Engage in research and remain informed about the latest advancements in AI technologies.

• Convert AI research findings into actionable business solutions.

• Lead and actively contribute to AI engineering projects from conception to execution.

• Collaborate closely with colleagues in data engineering, ML engineering, data science, analytics, GenAI, and business stakeholders.

• Take part in code reviews and assist in the creation of technical documentation.

• Keep abreast of developments in ML, GenAI, and analytics.

• Share insights with peers, enhance team learning, and pursue opportunities for professional development.

⛳️ Requirements

• Bachelor’s degree with over 5 years, Master’s degree with over 3 years, or PhD with no prior AI/ML experience in the industry.

• Demonstrated ability to leverage AI for solving real-world challenges in fields such as forecasting, pricing, customer analytics, sales planning, computer vision, and operational optimization.

• Proficiency in the latest AI tools and platforms, including MCP, A2A, AWS Bedrock, AWS AgentCore, Azure AI Foundry, foundational models for LLMs, and agentic orchestration & monitoring platforms like LangGraph/LangSmith.

• Expertise in GenAI model development, AI agent design and orchestration, Computer Vision, Deep Learning, Transformers, Self-Supervised Learning, and tuning of LLMs.

• Comprehensive understanding of analytics practices relevant to commercial operations, logistics, inventory management, manufacturing, and finance.

• Strong capability to communicate complex technical concepts to non-technical stakeholders and senior executives.

• Proven track record of success in cross-functional, hybrid, and virtual teams.

🏝️ Benefits

• Medical coverage.

• Dental insurance.

• Vision insurance.

• Paid time off.

• A 401(k) plan with opportunities for both employee and company contributions.

• Life insurance.

• Disability insurance.

• Accident insurance.

• Tuition reimbursement.