Description

Key Skills: Agentic AI, Python, GenAI Architect

Roles and Responsibilities:

• Design and develop Agentic AI applications, AI copilots, virtual assistants, and multi-agent workflows.
• Build intelligent automation solutions that connect enterprise data sources, applications, APIs, and databases.
• Develop backend services and integrations supporting reliable, scalable AI application delivery.
• Implement security, governance, observability, compliance, and operational controls for enterprise AI solutions.
• Evaluate and improve solution quality, accuracy, latency, and cost across production AI workloads.

Skills Required:

• 4 - 8 years of software development experience, including hands-on experience delivering Generative AI or LLM-based applications.
• Hands-on experience designing and developing Agentic AI solutions, AI agents, or autonomous intelligent workflows.
• Strong understanding of enterprise Generative AI application architecture, including LLM-based systems, RAG, prompt engineering, embeddings, semantic search, and guardrails.
• Experience building scalable backend services, REST API integrations, and microservices for AI applications.
• Practical experience delivering secure, production-ready AI applications with monitoring, testing, deployment, and governance controls.

Good to Have:

• Python development experience.
• Experience operating as a Generative AI Architect or designing enterprise GenAI platforms.

Education: Bachelor's or master's degree in Computer Science, Engineering, Data Science, or a related discipline

Key Skills

Education

Any Graduate