AI / ML Engineer

• Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making
• Design and develop AI-driven, cloud-native applications, intelligent automation workflows, and AI agents using Python, .NET, SQL, Azure and/or GCP
• Build, integrate, test, and deploy GenAI, Agentic AI, LLM, and RAG-based solutions for enterprise use cases across Talent Acquisition and Provider Services
• Create and maintain automation frameworks, validation engines, data extraction capabilities, and autonomous remediation workflows to reduce manual effort and improve operational accuracy
• Collaborate with business stakeholders, architects, product owners, and engineering teams to translate requirements into scalable, secure, production-ready technical solutions
• Ensure code quality, CI/CD readiness, testing coverage, documentation, monitoring, and compliance with enterprise engineering, AI governance, and delivery standards
• Development skills - As an AI Builder create Code for the project along with other development resources
• Accelerated Delivery: Enables faster development and deployment of high-impact AI solutions aligned to enterprise priorities
• Technical Excellence: Ensures architectural integrity, code quality, and scalable system design
• Risk Mitigation: Reduces delivery delays and operational risk through proven engineering practices
• Future-Ready Operations: Supports long-term maintainability, compliance, and audit readiness
• Documentation and Reporting - create project relevant documents and reports for leadership updates
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• 7+ years of overall professional experience in software engineering, cloud application development, automation, or AI solution delivery
• 5+ years of hands-on experience across .NET, Python, SQL, application development, and enterprise solution implementation
• 2+ years of hands-on experience delivering AI, Agentic AI, LLM-based, GenAI, or RAG-based projects in a production or enterprise environment
• Solid experience with Azure and/or GCP cloud platforms, including cloud-native design, deployment, integration, and operational support.
• Experience with AI productivity and engineering tools such as GitHub Copilot, Microsoft 365 Copilot, Codex, Claude, and Visual Studio Code-based AI-assisted development
• Hands-on knowledge of LLM-based frameworks, Agentic frameworks such as LangGraph, LangChain or CrewAI, and exposure to MCP-based patterns
• Good understanding of RAG patterns, embeddings, vector databases, semantic search, Azure AI Search, Chroma DB, MongoDB, cognitive services, NLP, and knowledge retrieval capabilities
  • Proven solid engineering fundamentals including APIs, microservices, scalable system design, testing, debugging, documentation, and secure development practices