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# Platform Engineer III

- **Company:** HCL Technologies
- **Location:** Pittsburgh, PA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Logic, Microsoft Azure, Continuous Integration, Data Validation, Data Files, Python (Programming Language), Natural Language Processing, Named Entity Recognition, Parsing, OpenAI, Search Technologies, Retrieval-Augmented Generation, Large Language Models, State Machines, Kubernetes, Build Tools, Machine Learning Operations, Semantic Kernel, Docker
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/platform-engineer-iii-pittsburgh-pa--10a9b158-aacb-49a0-b7f4-e5c9b8ae7e65

## About the Role

Automation, Artificial Intelligence (AI), Natural Language Processing (NLP), Shallow Parsing, Architectural Design, Error Handling, Application Programming Interface (API), Data Sets, Telemetry, Cost Control, 6-10+ years total; 2-4+ years applied AI/NLP; multiple production launches., * Strong Python, embeddings, vector search, and RAG/agent tooling (LangChain, Semantic Kernel, DSPy).

 * Experience with at least one enterprise LLM provider (Azure OpenAI, OpenAI, Anthropic, etc.).
 * Familiarity with OCR/NLP frameworks, model registries, CI/CD, Docker/K8s, and observability (OpenTelemetry).
 * Knowledge of secure AI practices, cost optimization, and evaluation techniques.

## Description

* Design RAG architectures including chunking, embedding strategies, retrieval, reranking, grounding, and evaluation.
 * Build tool-enabled LLM agents with deterministic fallbacks, retry flows, and defensive error-handling patterns.
 * Implement document processing workflows (OCR, layout extraction, entity extraction, tables) using industry-grade frameworks.
 * Develop and operate inference APIs and integrate AI pipelines with event-driven and streaming platforms.
 * Build evaluation suites leveraging golden datasets, LLM-as-judge frameworks, and rubric scoring.
 * Add deep telemetry for hallucination detection, accuracy monitoring, latency profiling, and cost management.
 * Optimize prompts, retrieval strategies, and inference paths for reliability, speed, and cost efficiency.
 * Implement robust security controls: input validation, prompt-injection hardening, PII scrubbing/redaction.
 * Collaborate with domain SMEs to design workflows, state machines, and business logic.

Develop reusable automation components, internal SDKs, and best-practice templates.