AI Engineer

Caterpillar Inc.

. Design, version, and refine advanced system, contextual, and dynamic prompts .

Posted 10/27/2026full-timeUnited StatesJuniorMid-Level💰 $97,530 - $158,480 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expert-level mastery in structured prompt formats and system-level steering, with high proficiency in Python or TypeScript for backend AI logic. Capable of integrating and optimizing advanced AI systems, including RAG pipelines and multi-agent workflows.

Highest-signal resume keywords

Expert-Level Mastery Of Structured Prompt FormatsHigh Proficiency In Python Or TypeScriptHands-On Experience With LangChain And LangGraphSolid Experience With Vector DatabasesExperience Deploying Containerized AI Microservices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Structured Prompt FormatsPythonTypeScriptLangChainLangGraphVector DatabasesPandasNumPyDeep Learning ArchitecturesContainerization

Tools & Technologies

Azure Application InsightsMicrosoft FoundryDockerKubernetesAWSGCPHugging FacePyTorchTensorFlow

Industry Keywords

GenAILLM PipelinesRAG SystemsOperational AI AgentsData ScienceArtificial IntelligenceComputational LinguisticsMathematics

Tech Stack

Tools & technologies

AWSAzureDockerGoogle Cloud PlatformKubernetesMicroservicesNumpyPandasPythonPyTorchTensorflowTypeScript

About the role

Key responsibilities & impact

Design, version, and refine advanced system, contextual, and dynamic prompts
Minimize hallucinations, jailbreaking, and prompt injections through guardrails and adversarial prompting
Adapt, benchmark, and fine-tune prompts across open-source and proprietary frontier models
Design and orchestrate multi-agent systems and multi-step reasoning workflows using LangGraph and LangChain
Integrate and optimize Retrieval-Augmented Generation pipelines, including semantic search, chunking, embeddings, and vector database queries
Implement function-calling and tool-use prompts for external APIs, databases, and legacy codebases
Build automated RAGAS and Evals testing suites for RAG accuracy and continuous validation
Build regression testing suites and CI/CD pipelines for prompt stability, agent trajectories, and tool-calling accuracy
Implement production LLM monitoring and observability using Azure Application Insights and Microsoft Foundry
Track and optimize semantic drift, token usage, cost efficiency, and end-to-end latency
Collaborate with Product Managers, Data Scientists, and Software Engineers to translate commercial requirements into deterministic AI capabilities
Monitor advancements in LLM capabilities, evaluation frameworks, and orchestration libraries

Requirements

What you’ll need

Expert-level mastery of structured prompt formats (XML, JSON wrappers), system-level steering, and context-window optimization
High proficiency in Python or TypeScript for backend AI logic, asynchronous data streams, and API integrations
Hands-on experience with LangChain, LangGraph, and native SDKs
Solid experience with vector databases such as Azure AI Search and AWS OpenSearch, and hybrid search retrieval methods
Strong capabilities in Pandas, NumPy, data cleaning, token handling, and foundational NLP transformers
Knowledge of deep learning architectures and fine-tuning frameworks such as QLoRA and PEFT
Experience with Hugging Face, PyTorch, or TensorFlow
Experience deploying containerized AI microservices using Docker, Kubernetes, AWS, or GCP
Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Computational Linguistics, Mathematics, or a highly technical discipline
2+ years of dedicated professional experience developing production software integrated with GenAI/LLM pipelines
Proven portfolio demonstrating successfully deployed RAG systems or operational AI agents in commercial environments
Ability to work onsite five days a week
Visa sponsorship is not available for this position
Successful completion of a drug screen required for employment

Benefits

Comp & perks

Medical, dental, and vision benefits
Paid time off plan (Vacation, Holidays, Volunteer, etc.)
401(k) savings plans
Health Savings Account (HSA)
Flexible Spending Accounts (FSAs)
Health Lifestyle Programs
Employee Assistance Program
Voluntary Benefits and Employee Discounts
Career Development
Incentive bonus
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement