AI Engineer

Join our innovative team as a Senior AI Engineer focused on building and deploying next-generation agentic AI systems from the ground up. This high-ownership, hands-on role empowers you to design, prototype, and deliver AI-native workflows that transform enterprise operations. You will collaborate with business and technical experts, taking ideas from concept to production in a dynamic, hybrid work environment. If you’re passionate about AI, rapid innovation, and making a tangible impact, this is your opportunity to lead the future of intelligent automation.

Responsibilities

• Architect, build, and deploy multi-step agentic AI systems that reimagine and replace business workflows.
• Design agent pipelines leveraging tool-calling, memory, retrieval-augmented generation (RAG), and orchestration patterns tailored to workflow complexity and risk.
• Implement human-in-the-loop and escalation systems for high-risk or low-confidence AI outcomes.
• Integrate agentic systems with enterprise data sources, APIs, and third-party tools while meeting data governance and security requirements.
• Ensure data grounding, output quality, system reliability, and graceful failure in production environments.
• Select and manage GenAI frameworks, LLM integrations, prompt engineering, and model versioning.
• Own the delivery cycle from rapid prototyping to pilot and scalable production deployment.
• Collaborate closely with process owners, domain experts, and governance teams to deliver trusted, usable solutions.

Bachelor’s degree in a STEM field with 5+ years in software or related domains, including 2+ years in AI/ML, LLM, and agentic systems development.

• Proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and agent orchestration.
• Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar frameworks for stateful, tool-driven execution.
• Hands-on experience deploying and operating LLM/agent workflows in production, with monitoring and evaluation.
• Familiarity with Microsoft Foundry (including Azure AI Search), Databricks, or AWS equivalents in enterprise settings.
• Strong skills in data pipeline development, vector databases, and API development.
• Self-motivated learner with a practical, business-focused mindset.

Preferred Skills

• Experience with hybrid or on-prem cloud environments.
• Advanced knowledge of emerging GenAI models and frameworks.
• Demonstrated ability to scale AI-native workflows across large organizations., Ready to lead the next wave of enterprise AI transformation? Submit your resume and a brief cover letter highlighting your agentic AI experience and enterprise solution delivery. Candidates must be authorized to work in the US without sponsorship., Requirements:Agentic AIAgentic Orchestration (LangChain LangGraph CrewAI Semantic Kernel etc)Microsoft Foundry (including Azure AI Search) or AWS equivalentsPythonRAGData pipeline developmentVector DatabasesAPI development

Opportunity to shape the future of AI-driven business solutions.

• Hands-on exposure to cutting-edge GenAI models, frameworks, and real-world production deployments.
• Career growth from delivering individual agentic systems to leading high-impact AI initiatives and architectures.