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HCLTech

AI Engineer (Agentic Systems)

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 7, 2026

Original job description

Overall – 8+ | AI Exp – 3+

Python (primary for AI pipelines, LangChain, asynchronous processing).
C# / .NET (common across Pearson VUE microservice integrations and Assist Portal backends).
Azure OpenAI Service, Azure Cognitive Search / AI Search, Azure Container Apps / Azure Kubernetes Service (AKS), Azure App Services.
Deep understanding of the 2-phase RAG pipeline: document ingestion, chunking strategies, vector embedding generation, similarity retrieval, and context-bounded prompt construction.
Experience calculating and tuning vector similarity metrics (e.g., Cosine Similarity thresholds) to filter irrelevant queries before hitting LLMs.
Hands-on proficiency with LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
Managing multi-workspace prompt templates, system instructions, and dynamic few-shot prompt injection.
Experience with Azure OpenAI Service (GPT-4o, GPT-4, text-embedding models) and open-source models (Llama, Falcon, Mistral) or multi-model routing (Gemini / Claude).
Optimizing token usage, latency, temperature/top_p parameters, and fallback/circuit-breaker logic.
Building performant, asynchronous REST APIs for embedding generation, batch document indexing, chat streaming (SSE/WebSockets), and workspace administration.

Parsing, cleaning, and tokenizing multi-format inputs (PDFs, Word docs, HTML Self-Help Articles, URLs).

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More about this job

Responsibilities

Build and optimize agentic AI systems, including two-phase RAG pipelines for document ingestion, retrieval, and context-bounded prompt construction. Develop asynchronous APIs and integrations for embedding generation, document indexing, chat streaming, and workspace administration.

Requirements

Requires 8+ years of overall experience and 3+ years of AI experience, with Python as the primary language and C#/.NET experience for integrations. Candidates should have hands-on experience with Azure AI services, RAG, vector similarity tuning, AI orchestration frameworks, prompt management, model optimization, and processing documents in multiple formats.

Skills

Python
C#/.NET
Azure OpenAI Service
Azure AI Search
Azure Container Apps
Azure Kubernetes Service
Azure App Services
Retrieval-Augmented Generation
Vector Embeddings
LangChain
LangGraph
LlamaIndex
Semantic Kernel
Prompt Engineering
Asynchronous REST APIs
Document Processing

Visa sponsorship

Not detected in the job text

Keywords

Python
C#/.NET
Azure OpenAI Service
Azure Cognitive Search
Azure AI Search
Azure Container Apps
Azure Kubernetes Service
Azure App Services
Retrieval-Augmented Generation
Document Ingestion
Chunking Strategies
Vector Embeddings
Cosine Similarity
LangChain
LangGraph
LlamaIndex
Semantic Kernel
Prompt Templates
Few-Shot Prompting
GPT-4o
GPT-4
Llama
Falcon
Mistral
Gemini
Claude
Asynchronous REST APIs
Server-Sent Events
WebSockets
Document Processing

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