Artificial Intelligence Engineer

Job description

**Key Responsibilities** **Agentic Solution Development** - Design and implement enterprise AI solutions using agentic workflows and orchestration frameworks - Build multi-agent systems leveraging memory, planning, tool use, and MCP-style interactions - Develop production-ready AI workflows integrating enterprise systems, APIs, and business tools - Create reusable prompts, tools, agents, and orchestration pipelines **Enterprise Integration & Automation** - Integrate AI agents with enterprise applications, APIs, databases, SharePoint, SAP, ServiceNow, Jira, etc. - Build secure tool-calling and data-access mechanisms for agent workflows - Implement AI-assisted automation use cases across engineering, operations, safety, and business domains **Solution Architecture & Engineering** - Collaborate on architecture design for scalable AI systems - Develop backend services, APIs, orchestration layers, and deployment pipelines - Optimize AI workflows for latency, reliability, scalability, and observability - Support cloud-native deployments on Azure/AWS **Value Realization** - Work closely with business stakeholders to identify impactful use cases - Quantify business impact including productivity, cost savings, quality improvements, and automation efficiency - Support pilot rollouts and transition of PoCs into production **Collaboration & Innovation** - Contribute reusable frameworks, templates, and accelerators - Stay updated with evolving AI ecosystems including OpenAI, LangChain, AutoGen, CrewAI, MCP, and orchestration frameworks - Mentor junior developers and contribute to AI engineering best practices **Required Skills** **Technical Skills** - Strong programming experience in **Python and/or Node.js** - Hands-on experience with: - **LangChain** - **LangGraph** - **CrewAI / AutoGen / Semantic Kernel** - **OpenAI APIs / Azure OpenAI** - **MCP concepts and integrations** - Experience building REST APIs and enterprise integrations - Strong understanding of: - **Agent orchestration** - **Tool calling** - **RAG architectures** - **Vector databases** - **Memory systems** - **Prompt engineering** - Experience with cloud platforms (AWS preferred) - Familiarity with Docker, CI/CD, GitHub, and DevOps practices **Good to have Skills** - Experience with enterprise AI governance and security - Knowledge of observability frameworks and evaluation methods - Experience deploying AI systems in enterprise environments - Exposure to frontend frameworks (React/Next.js) is a plus