The AI Engineer is responsible for building and deploying AI agents (Microsoft Copilot and Claude) and private retrieval-augmented generation (RAG) applications.
Compensation
Base salary: $110,000 + 10% bonus
Responsibilities
Design, build, and deploy AI agents using Microsoft Copilot Studio and Claude (Anthropic), or apply ML experience to similar enterprise use cases
Implement RAG applications using vector databases (such as Pinecone, Weaviate, Azure AI Search, Chroma) including ingestion, chunking, embeddings, retrieval, and evaluation
Help configure deployments to meet enterprise requirements for data isolation, security, and governance
Work with business, data, and product teams to turn requirements into practical AI agent or RAG/ML solutions
Support management of the data layer—databases and pipelines—underlying agents and RAG/ML applications
Requirements
Bachelor’s degree in Information Technology, Computer Science, or a related field
This role involves owning the company's AI services ecosystem, from enterprise platforms like Claude and ChatGPT to agents and automated workflows. It bridges technical execution and strategic influence, shaping AI policies.
Compensation
Pay Range for this role: $163,910 to $192,840
Responsibilities
Administer and manage enterprise AI services including frontier LLM platforms such as Claude Enterprise and ChatGPT Enterprise — ensuring availability, security, licensing compliance, and appropriate access controls.
Design, build, deploy, and maintain AI agents and automated workflows that solve real business problems across departments.
Serve as the company's primary point of contact for AI-related requests, project needs, and questions from all business units.
Partner with department stakeholders to assess AI use cases, evaluate feasibility, scope solutions, and deliver implementations that align with IT standards and business objectives.
Collaborate with IT leadership to develop, maintain, and continuously improve the company's AI governance policies and acceptable use standards.
Requirements
Nice to have: Claude Certified Associate
Nice to have: Claude Certified Developer
Nice to have: AWS Certified AI Practitioner
Nice to have: AWS Certified Generative AI Developer Professional
Senior Software Engineer with strong hands‑on experience in web development and AI agent development, working across Python, .NET, Azure ecosystem, DevOps, UI development, and Oracle ERP/SCM domains.
Responsibilities
Design, develop, and maintain web applications and backend services using Python and .NET
Develop and support AI agents and automation workflows
Build and enhance REST APIs, microservices, and cloud‑native applications
Work within the Azure ecosystem including App Services, Functions, Storage, Key Vault, and Azure Fabric
Implement and manage DevOps practices including CI/CD pipelines
Requirements
Bachelor’s degree in computer science, Computer Engineering, or a related technical discipline such as Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E.)
Master’s degree in computer science or a related field (preferred)
Design, build, and deploy intelligent AI agents for consumer and business applications, owning the full lifecycle from ideation to production deployment.
Compensation
Annual base salary: $180,000–$275,000, depending on experience and qualifications. Competitive equity opportunity.
Responsibilities
Design, build, and deploy intelligent AI agents for consumer and business applications.
Own agentic AI features throughout the complete product lifecycle, from ideation and architecture to implementation and production deployment.
Develop customer-facing AI experiences using Large Language Models (LLMs) and modern agentic frameworks.
Build and improve AI agent functionality, evaluations, monitoring systems, and safety safeguards.
Develop scalable, high-performance web applications using modern full-stack technologies.
Requirements
Nice to have: shipping production-grade agentic AI products
Nice to have: familiarity with LLMs
Nice to have: AI agent frameworks
Nice to have: AI-powered workflow automation
Nice to have: integrating AI applications with APIs and external services
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