{"id":3359387,"url":"https://alion.io/job/caterpillar-ai-engineer-2","title":"AI Engineer","company":{"id":176554,"name":"Caterpillar","domain":"caterpillar.com","url":"https://alion.io/company/caterpillar","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":85,"ghost_share":0,"stale_share":0.212,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Peoria, United States","Irving, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":97530,"max":158480,"currency":"USD","period":"year","gross":null,"usd_annual":158480},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Few-Shot Learning","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"OpenSearch","optional":false},{"name":"Pandas","optional":false},{"name":"PEFT","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"TensorFlow","optional":false},{"name":"TypeScript","optional":false},{"name":"LoRA","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-10-27T20:49:30Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-01T18:19:05Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Career Area:\nTechnology, Digital and DataJob Description:\nYour Work Shapes the World at Caterpillar Inc.\nWhen you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.\nAs an AI Engineer, you will design, develop, and optimize advanced AI interactions to power production-grade software applications. You will move beyond basic prompt drafting to build robust, scalable, and reliable AI systems utilizing state-of-the-art Large Language Models (LLMs). Your role is critical in orchestrating autonomous AI agents, implementing Retrieval-Augmented Generation (RAG) pipelines, and establishing rigorous testing and observability frameworks. You will bridge the gap between complex business logic and machine intelligence, ensuring high-quality, safe, and deterministic AI behaviors.\nWhat You Will Do:\nPrompt Architecture & Tuning\n Design Advanced Prompts: Architect, version, and refine highly effective system, contextual, and dynamic prompts using advanced techniques (e.g., Chain-of-Thought, Tree-of-Thoughts, ReAct, Few-Shot learning).\nMitigate Risks: Minimize model hallucinations, jailbreaking, and prompt injections through programmatic guardrails and robust adversarial prompting strategies.\nModel Agnostic Tuning: Adapt, benchmark, and fine-tune prompt structures across diverse open-source and proprietary frontier models.\nAgentic Workflows & RAG Systems\nBuild AI Agents: Design and orchestrate multi-agent systems and multi-step reasoning workflows using frameworks like LangGraph, LangChain.\nOptimize RAG Pipelines: Integrate and fine-tune Retrieval-Augmented Generation architectures, managing semantic search, chunking strategies, embedding models, and vector database queries.\nTool Execution: Implement precise function-calling and tool-use prompts enabling LLMs to interact reliably with external APIs, databases, and legacy codebases.\nTesting, Evaluation & Observability\nBuild automated testing suites using RAGAS and Evals frameworks to assess RAG accuracy and enable continuous validation and benchmarking of Retrieval-Augmented Generation outputs across datasets and Models .\nAgent Testing: Build automated regression testing suites and CI/CD pipelines to validate prompt stability, agent trajectory correctness, and tool-calling accuracy.\nImplement LLM Observability: Set up production monitoring and observability systems using platforms like Azure Application insights, Microsoft Foundry.\nMonitor Metrics: Track, analyze, and optimize production runtime metrics including semantic drift, token usage, cost efficiencies, and end-to-end latency.\nCollaboration & Continuous Innovation\nCross-Functional Delivery: Work alongside Product Managers, Data Scientists, and Software Engineers to translate commercial requirements into deterministic AI capabilities.\nTechnology Scouting: Keep pace with rapid weekly advancements in LLM capabilities, evaluation frameworks, and orchestration libraries to sustain a competitive edge.\nWhat You Have:\nCore Prompt Engineering: Expert-level mastery of structured prompt formats (XML, JSON wrappers), system-level steering, and context-window optimization.\nProduction Programming: High proficiency in Python or TypeScript for constructing backend AI logic, processing asynchronous data streams, and handling API integrations.\nOrchestration Frameworks: Hands-on experience building apps using LangChain, LangGraph, native SDKs.\nVector Infrastructure: Solid experience working with vector databases (e.g., Azure AI Search, AWS Open Search) and hybrid search retrieval methods.\nData & ML Fundamentals: Strong capabilities in data manipulation (Pandas, NumPy), data cleaning, token handling, and foundational understanding of NLP transformers.\nTop Candidates Will Have\nAI Observability Stacks: Prior implementation of Application Insights, OpenLLMetry, or custom evaluation/guardrail layers.\n Machine Learning Systems: Knowledge of deep learning architectures, fine-tuning frameworks (QLoRA, PEFT), and platforms like Hugging Face, PyTorch, or TensorFlow.\nCloud Infrastructure: Experience deploying containerized AI microservices using Docker, Kubernetes, AWS, or GCP.\nEducation: Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Computational Linguistics, Mathematics, or a highly technical discipline.\nExperience: 2+ years of dedicated professional experience developing production software integrated with GenAI/LLM pipelines.\nTrack Record: Proven portfolio demonstrating successfully deployed RAG systems or operational AI agents in commercial environments.\nAdditional Info:\nThe required location for this role is East Peoria-IL, Irving-TX\nAbout Caterpillar -\nFor more than a century, Caterpillar has helped build a better, more sustainable world. With 2025 sales and revenues of $67.6 billion, Caterpillar Inc. is shaping the future as the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. Backed by one of the largest independent global dealer networks and financing services through Cat Financial, the company’s primary business segments: Power & Energy, Construction Industries and Resource Industries are solving customers’ toughest challenges through commercial excellence and advanced technology, driven by a highly skilled, dedicated global team. Learn more at www.caterpillar.com.\nSummary Pay Range:\n$97,530.00 - $158,480.00Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-relatedknowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.\nBenefits:\nSubject to plan eligibility, terms, and guidelines. This is a summary list of benefits.\nMedical, dental, and vision benefits*\n\nPaid time off plan (Vacation, Holidays, Volunteer, etc.)*\n\n401(k) savings plans*\n\nHealth Savings Account (HSA)*\n\nFlexible Spending Accounts (FSAs)*\n\nHealth Lifestyle Programs*\n\nEmployee Assistance Program*\n\nVoluntary Benefits and Employee Discounts*\n\nCareer Development*\n\nIncentive bonus*\n\nDisability benefits\n\nLife Insurance\n\nParental leave\n\nAdoption benefits\n\nTuition Reimbursement\n\n* These benefits also apply to part-time employees\nThis position requires working onsite five days a week.Visa Sponsorship is not available for this position.Posting Dates:\nOctober 27, 2026 - November 8, 2026Any offer of employment is conditioned upon the successful completion of a drug screen.\nCaterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.\nNot ready to apply? 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