AI Engineer
Caterpillar1 day ago
Chennai, India or Bengaluru, IndiaMid Level / Senior
Responsibilities
- Build, integrate, and optimize AI Assistants and agent-based solutions for natural-language business workflows.
- Integrate enterprise data sources, APIs, knowledge bases, document repositories, and business applications.
- Implement prompt engineering, grounding, retrieval, memory management, and agent orchestration.
- Develop document ingestion, metadata extraction, chunking, indexing, and knowledge management pipelines.
- Evaluate and optimize AI solutions through prompt tuning, model selection, caching, reranking, and retrieval optimization.
- Collaborate with product, engineering, and domain teams to translate business needs into production AI capabilities.
- Implement observability, monitoring, evaluation, and feedback mechanisms for AI Assistant performance.
- Support deployment, productionization, security, entitlements, access controls, auditability, and governance.
- Stay current with LLMs, agent frameworks, RAG architectures, vector databases, knowledge graphs, and AI platform technologies.
Requirements
- Experience with agentic AI frameworks such as LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar platforms.
- Familiarity with RAG architectures, vector databases such as Milvus and Pinecone, and enterprise knowledge bases.
- Experience building and deploying AI Assistants, Copilots, or conversational AI solutions.
- Exposure to agent orchestration, tool calling, workflow automation, and multi-agent systems.
- Deep Python expertise, especially with PyTorch or TensorFlow, including model training and fine-tuning for vision, text, and audio.
- Knowledge of machine learning techniques including anomaly detection and predictive analytics; reinforcement learning experience is a plus.
- Knowledge of document ingestion, OCR, metadata extraction, and document processing frameworks such as Textract or Docling is preferred.
- Understanding of LLM evaluation, observability, prompt engineering, and responsible AI practices is preferred.
- Familiarity with graph databases, knowledge graphs, ontology-based retrieval and reasoning, REST APIs, FastAPI, microservices, event-driven architectures, and cloud AI services is preferred.
- Knowledge of OAuth, OIDC, RBAC, entitlements, auditability, and enterprise AI governance is preferred.
- Typically requires a bachelor’s degree in computer science, artificial intelligence, data science, mathematics, or a similar quantitative field with 4–5 years of relevant professional experience, or a master’s degree with 2–3 years of experience.
Benefits
- The position requires working onsite five days per week.
- The posting is open from October 22, 2026 through October 25, 2026.
Categories
About Caterpillar
Caterpillar Inc. designs, manufactures, and services construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives for infrastructure, resource, and energy customers. The public company, founded in 1925 and headquartered in Irving, Texas, sells primarily through an independent worldwide dealer network and provides equipment financing. It operates through Construction Industries, Resource Industries, and Energy & Transportation segments, with shares traded on the NYSE and Euronext Paris.