AI Software Engineer

About the role

Redefining the future of mobility requires high-integrity data, advanced predictive modeling, and sophisticated marketing analytics. That’s where Global Data Insight & Analytics (GDI&A) makes a defining impact. Within our Marketing Analytics team, we translate complex customer journeys, campaign performance, and market dynamics into strategic foresight. We advise leadership on brand health, media optimization, and shifting customer needs—ensuring every marketing decision is grounded in evidence. Join us and use your analytical expertise to shape how the world connects with our brand.

Responsibilities

• Design and build AI-powered applications, agents, and intelligent workflows that improve discovery, recommendation, and analysis of marketing enterprise analytics assets, customer data, and media metrics.
• Transition from linear "chain" workflows to self-correcting agentic loops using frameworks like LangChain, LangGraph, or LlamaIndex to automate complex marketing analytics workflows.
• Implement tool-integration patterns (MCP), agent communication protocols, and AI application observability.
• Develop high-concurrency backends optimized for long-running AI tasks, marketing attribution modeling, and real-time token streaming.
• Build responsive, stateful UIs in React or Angular that handle complex AI interactions (streaming text, generative UI components, and multi-modal feedback).
• Implement advanced RAG pipelines to maximize retrieval precision over vast libraries of marketing assets, creative guidelines, and historical campaign results.
• Establish AI evaluations to quantify hallucination rates, latency, and cost, leading the shift from "vibes-based" testing to rigorous, automated AI benchmarking.
• Collaborate with product managers, marketing experts, and domain stakeholders to translate business needs into technical solutions. Drive architecture decisions, engineering best practices, and operational excellence.

Requirements

• Masters Degree in Computer Science, Information Systems, or a related quantitative field.
• 3+ years of professional experience in Software Engineering or Data Science building scalable production systems.
• 1+ years of hands-on experience designing, training, and deploying complex AI/ML systems in production environments.
• Experience working with Python, Java, JavaScript, or Angular programming languages.
• Experience in building autonomous agents using agent orchestration frameworks such as LangGraph, LangChain, LlamaIndex, or similar technologies.
• Experience implementing tool integration patterns (MCP), agent communication protocols, and AI application observability.
• Experience with vector search, hybrid retrieval architectures, or vector databases (Chroma, Qdrant, Pinecone, pgvector).
• Experience with GCP services (Vertex AI, Cloud Run, and BigQuery) or similar cloud platforms for deploying scalable AI solutions.
• Strong problem-solving and system design skills with the ability to evaluate competing technical approaches and articulate tradeoffs.
• Solid understanding of data engineering (SQL, Spark, data pipelines) and a strong interest or experience in quantitative marketing concepts like multi-touch attribution, cohort analysis, and predictive customer lifetime value.

Qualifications

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.

Skills

• Experience with semantic technologies, marketing mix modeling (MMM), attribution models, or digital media analytics.
• Experience working with graph databases, Graph-RAG applications, or knowledge graphs.
• Experience with context optimization (prompt compression, "lost-in-the-middle" mitigation).

Benefits

• Health and Wellness: Comprehensive medical, dental, vision, mental health, and unique wellness perks keep you and your family supported every step of the way.
• Financial and Retirement Programs: Build a strong financial future with robust retirement contributions, savings programs, and free personalized financial planning tools.
• Flexible Vacation and Holidays: Enjoy your time away from work with generous vacation, holidays, and flexible family leave designed to help you balance life and work with ease.
• Vehicle Discount Program: The best thing about building great products is driving them! The second-best thing: sharing your discount with family and friends so they can drive them, too.
• Family Growth and Support: Grow your family confidently with fertility, surrogacy, and adoption assistance, paid parental leave, and a supportive new-parent ramp-up program.
• Additional Programs: Enjoy unexpected extras like pet insurance, legal services, identity protection, and access to convenient health and wellness services.