Platform Engineer III

• 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.

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.

Information at a Glance

Why HCLTech?

At HCLTech, youll supercharge your potential. Youll find your career. And youll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion.