Description

• Full Stack AI application development
• Agentic AI and multi-agent workflow orchestration
• AI application architecture and modernization
• AI evaluation, observability, and quality engineering
• Frontend development using React and TypeScript
• Backend API and agent development using Python and FastAPI
• Enterprise cloud-native development on Azure
• AI-assisted software development and engineering productivity
• FE: React, TypeScript, shadcn, Motion
  BE: Python, FastAPI, FastMCP, PydanticAI
  Cloud: Azure

Key Responsibilities

• Design, build, and maintain enterprise-grade Agentic AI applications and workflow automation solutions.
• Develop modern, responsive user interfaces using React, TypeScript, shadcn/ui, and Motion.
• Build scalable backend services, APIs, AI agents, and orchestration layers using Python, FastAPI, FastMCP, and PydanticAI.
• Design and implement multi-agent systems, MCP integrations, tool-calling frameworks, and workflow orchestration patterns.
• Assess existing applications and codebases, identify design gaps, technical debt, performance issues, and modernization opportunities.
• Collaborate with architects and technical leads to define scalable AI solution architectures and implementation roadmaps.
• Investigate AI agent traces, execution logs, and workflow telemetry to diagnose issues and improve system performance.
• Define and implement AI evaluation frameworks covering:
  • Accuracy
  • Groundedness
  • Consistency
  • Relevance
  • Latency
  • Reliability
• Optimize prompts, workflows, retrieval strategies, and agent interactions to improve business outcomes.
• Build reusable AI engineering frameworks, components, templates, and accelerators.
• Develop production-ready APIs, services, and integrations using modern software engineering practices.
• Work closely with product teams, Coke AI Architects, and senior AI leaders to deliver business value through AI solutions.
• Support deployment, monitoring, troubleshooting, and continuous improvement of production AI applications hosted in Azure.

Required Qualifications

• Typically 8+ years of software engineering experience with strong full-stack development expertise.
• 2+ years of hands-on experience building AI, Generative AI, or Agentic AI applications.
• 3+ years of experience & strong proficiency in Python and modern backend engineering practices.
• 3+ years of experience & strong proficiency in TypeScript and React-based frontend development.
• 2+ years of experience designing and implementing AI agents, agent orchestration, and workflow automation solutions.
• Experience evaluating and improving AI system performance through analysis of traces, logs, and workflow outputs.
• Strong understanding of LLM capabilities, limitations, prompting techniques, context management, and AI application patterns.
• Hands-on experience building and maintaining APIs and microservices using FastAPI.
• Experience working with MCP-based integrations, agent frameworks, or similar AI orchestration technologies.
• Experience designing production-quality software with testing, code reviews, CI/CD, monitoring, and observability practices.
• Strong analytical and debugging skills with the ability to assess existing systems and rapidly identify improvement opportunities.
• Strong communication skills and ability to collaborate with architects, engineers, and business stakeholders.

Technical Skills

Frontend

• React
• TypeScript
• shadcn/ui
• Motion (Framer Motion)
• Modern frontend architecture and component design
• REST API integration

Backend

• Python
• FastAPI
• FastMCP
• PydanticAI
• API development
• Agent orchestration
• MCP integrations

AI Engineering

• Agentic AI
• Multi-agent systems
• Prompt engineering
• AI workflow orchestration
• LLM evaluation
• Trace analysis
• Accuracy and groundedness assessment
• AI observability

Preferred Experience

• Experience building enterprise-scale Agentic AI applications in production environments.
• Experience with AI observability, evaluation frameworks, and quality measurement methodologies.
• Experience implementing human-in-the-loop workflows and agent governance patterns.
• Experience mentoring engineers and driving technical best practices.
• Exposure to large enterprise software modernization initiatives.
• Experience working directly with senior architects and technical leadership teams.

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related discipline is preferred.

Equivalent professional experience and demonstrated technical expertise will also be considered

Key Skills

Education

Bachelor's or Master's degrees