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AI Engineer – Full Stack Developer, AI Reporting & Insights
Mondelēz International. Design, build, and maintain data pipelines ingesting, transforming, and serving market and business data .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Python for building production-grade applications and data pipelines, with a strong foundation in AI/ML engineering and full-stack development. Proficient in collaborating with cross-functional teams to deliver optimized solutions and technical designs.
Highest-signal resume keywords
Python ProgrammingFull Stack DevelopmentAI/ML EngineeringAWS ExperienceData Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentETL/ELTData ModellingSoftware Engineering FundamentalsPrompt EngineeringModel IntegrationTestingCI/CDMonitoring and LoggingCode Review
Soft Skills
Cross-Functional CollaborationTechnical Communication
Tools & Technologies
TerraformDockerDatabricksSparkDelta LakeReactNext.jsRESTGraphQLPrometheus
Industry Keywords
Generative AILLMsAgent-Based ArchitecturesMarket DataCPG/FMCG
Tech Stack
Tools & technologiesAWSCloudDockerETLGrafanaGraphQLJavaScriptNext.jsPrometheusPythonReactSparkTerraformUnity
About the role
Key responsibilities & impact- Design, build, and maintain data pipelines ingesting, transforming, and serving market and business data
- Develop and deploy AI/ML models and LLM-based workflows, including RAG, prompt engineering, and agent orchestration
- Build and ship full-stack applications, APIs, backend services, and front-end interfaces for AI-generated business insights
- Implement monitoring, logging, and alerting for pipelines, models, and applications
- Collaborate with Product, Data Science, and Business stakeholders on technical designs, user stories, and working software
- Contribute to architecture decisions involving Terraform, Docker, and CI/CD
- Write clean, tested, documented code and participate in code reviews, sprint ceremonies, and knowledge sharing
- Optimize delivered services, manage service improvement initiatives, mitigate risks, and support vendor governance and IT service delivery
Requirements
What you’ll need- Strong proficiency in Python and experience building production-grade applications or pipelines
- Experience in full stack development, AI/ML engineering, or data engineering, with willingness to broaden across disciplines
- Hands-on experience with AWS and familiarity with Databricks, Spark, Delta Lake, and Unity Catalog
- Exposure to LLMs and generative AI, including model integration, prompt engineering, RAG pipelines, or agent-based architectures
- Familiarity with React, Next.js, REST, or GraphQL
- Understanding of data modelling, ETL/ELT, and structured and unstructured data at scale
- Software engineering fundamentals including Git, testing, CI/CD, Docker, and Terraform
- Ability to work cross-functionally and explain technical trade-offs to non-technical stakeholders
- Nice to have: LangChain, LangGraph, AutoGen, CrewAI, MLflow, Feature Store, Genie, NLP, multimodal AI, Prometheus, Grafana, CloudWatch, cloud and AI infrastructure security, CPG/FMCG or syndicated market data experience
- Willingness to work without relocation support
Benefits
Comp & perks- No relocation support available
- Equal opportunity employment