[Hiring] AI Engineer @Inficare Technologies

Role Description

We are seeking an experienced AI Engineer specialising in Generative AI to design, develop, and deploy enterprise-grade AI applications powered by Large Language Models (LLMs). The ideal candidate will have hands-on experience building Retrieval-Augmented Generation (RAG) solutions, document intelligence platforms, multimodal AI applications, and scalable AI APIs using Azure OpenAI and Python.

Key Responsibilities

• Design, develop, and deploy enterprise Generative AI applications using Azure OpenAI Services
• Build RAG pipelines using embeddings and vector databases
• Develop scalable REST APIs using FastAPI and Flask
• Integrate Vision LLMs for image, document, and multimodal understanding
• Build document processing pipelines using PyMuPDF for PDF extraction and parsing
• Implement semantic search using FAISS Vector Database
• Engineer prompts and optimise LLM responses for enterprise use cases
• Develop AI-powered chatbots, document Q&A, summarisation, and intelligent automation solutions
• Implement monitoring and evaluation frameworks using Opik or similar LLM observability tools
• Ensure AI applications follow security, governance, and responsible AI best practices

Qualifications

• 5-10 years software development experience
• 2-4 years hands-on Generative AI experience

Requirements

• Generative AI: LLMs, Prompt Engineering, RAG, Embeddings, Semantic Search, AI Agents, Function Calling, Model Evaluation
• Cloud & AI Platforms: Azure OpenAI Service, Azure AI Services, Azure Storage
• Programming: Python (Advanced), FastAPI, Flask, REST API Development, Async Programming
• AI Frameworks: LangChain, LlamaIndex, PyMuPDF, FAISS, Vision LLMs, OpenAI SDK
• Dev Tools: VS Code, PyCharm, Git, GitHub / Azure DevOps, Docker
• Observability: Opik, LLM Monitoring, Experiment Tracking, Performance Benchmarking

Preferred Skills

• LangGraph, AutoGen / CrewAI, Azure AI Search, Cosmos DB, PostgreSQL, Redis, Kubernetes, MLflow, Hugging Face, OCR (Azure Document Intelligence, Tesseract), CI/CD pipelines, MLOps, Transformers, Azure Cognitive Search, Azure Functions

Location & Work Model

• Fully remote - open to candidates based in Canada or Mexico
• Shift: 1:00 PM - 9:00 PM PST (please confirm availability before applying)

Engagement Details

• Contract engagement. Duration to be confirmed upon selection.