AI Engineering
Core
Design, develop, and deploy generative AI agents (e.g., Copilot, conversational agents) to automate, assist, and optimize end-to-end business processes within enterprise environments.
Role type
Senior AI Engineering (Generative Agents & LLMs)
Builds
Intelligent agents integrated with distributed, cloud, and legacy (mainframe) enterprise applications
Domain
Enterprise Technology / Generative AI / Business Process Automation
Deliverable
production ML models | product features
Required skills
Design and deployment of generative AI agents, End-to-End project execution, Distributed and mainframe architecture, Generative AI tools (GitHub Copilot, OpenAI GPT, Gemini), LLM API integration, Software development (Python, JavaScript, Java), Service integration and API consumption, Git version control
Preferred skills
Analytical metrics interpretation, Strategic process optimization, Digital transformation leadership
Technologies
GitHub Copilot, OpenAI GPT, Gemini, Python, JavaScript, Java, Mainframe, Cloud
Responsibilities
Design and implement generative AI agents for automation and optimization, Analyze agent performance metrics to drive continuous improvement, Integrate AI agents with distributed and legacy enterprise systems, Collaborate with business and tech teams to identify use cases, Utilize AI tools to accelerate development and documentation, Document agent architectures and technical components, Interact directly with clients to propose and ensure adoption of AI solutions
Seniority
Senior, hands-on IC