Senior AI Engineer

Description:

Senior Full Stack AI Engineer (Agentic AI)

Location - Remote

Role Overview


We are looking for a highly skilled Senior Full Stack AI Engineer to design, develop, and productionize enterprise-grade Agentic AI applications and intelligent workflow solutions. This is a hands-on engineering role focused on building modern AI-powered applications across both frontend and backend stacks while leveraging AI agents, multi-agent workflows, and evaluation frameworks.


The ideal candidate combines strong full-stack software engineering expertise with experience building AI-enabled systems. Beyond coding, the engineer will assess existing codebases, identify technical gaps and modernization opportunities, analyze AI agent traces, evaluate model and workflow performance, and continuously improve solution quality.


The engineer will work closely with Coca-Cola AI Architects and senior AI leads, contributing immediate delivery value while growing into broader AI engineering and technical leadership responsibilities.


Core Areas of Focus


Candidates should demonstrate strong expertise in several of the following areas:

• 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.

Enable Skills-Based Hiring No ICIMS RR ID #
Additional Details

• Skill Category : Niche
• ICIMS RR ID # : NA
• Client Name : The Coca-Cola Company
• Engagement Type : T&M Competitive 1-3
• Vertical : Products Industries
• Must-Have Primary Skill : UI Development-Application Development-TypeScript
• Primary Skill: Yrs Experience : Skilled (3 to 5 Years Experience)
• RC- Domain : Data & Analytics
• RC- Subdomain : 24 - Big Data, Data Science & Analytics (Apache Hadoop HDFS, Base/Hive/Pig/Mahout/Flume/Scoop/MapReduce/Yarn, Cloudera HD, NoSQL, R, Spark/Shark/Milb, MATLAB)
• RC- Role : Architect
• RC- Experience Level : IV
• RC- Geo Tier : US-3
• RC- Exception Required : No
• COVID-19 Vaccine Required? : (No Value)
• Client-Accepted Visa Types : (No Value)