Overview

Employment Type: Contractor / Sub-con

Responsibilities

• Design, develop, deploy, and optimize AI/ML and Generative AI solutions.
• Build and maintain LLM, RAG, and Agentic AI architectures for enterprise use cases.
• Fine-tune and optimize foundation models and open-source LLMs.
• Develop AI-powered APIs, microservices, chatbots, copilots, and automation solutions.
• Build AI data pipelines and document ingestion, embedding, retrieval, and indexing workflows.
• Design vector database and semantic search solutions.
• Implement CI/CD, MLOps, monitoring, logging, and performance optimization for AI applications.
• Collaborate with business, product, and engineering teams to deliver scalable AI solutions.

Qualifications

• Employment Type: Contractor / Sub-con
• Openings: 1
• About The Role We are seeking an AI Engineer to design, develop, deploy, and optimize AI-powered applications and intelligent automation solutions. The role focuses on Generative AI, Large Language Models (LLMs), RAG, Agentic AI, and cloud technologies, with strong emphasis on building scalable enterprise AI solutions. The ideal candidate will have expertise in Python and Azure Cloud Architecture and experience working across AI development, deployment, and optimization.
• Job Description The AI Engineer will develop and deploy AI/ML and Generative AI applications, including chatbots, copilots, search assistants, and intelligent automation solutions. The role involves working with foundation models and open-source LLMs such as GPT, Llama, Claude, and Mistral, along with RAG architectures and Agentic AI/multi-agent workflows.
• The position involves building document ingestion, chunking, embedding, retrieval, and indexing pipelines, as well as designing vector database and semantic search solutions using technologies such as FAISS, ChromaDB, Pinecone, and Azure AI Search. The engineer will also develop AI APIs and microservices using FastAPI/Flask and integrate AI capabilities with enterprise applications and business workflows.
• The role also includes deploying and operating AI solutions across Microsoft Azure, AWS, and Google Cloud, implementing CI/CD and MLOps practices, and ensuring AI systems meet scalability, security, performance, safety, and reliability requirements.
• Python
• Generative AI and Large Language Models (LLMs)
• RAG (Retrieval Augmented Generation)
• Agentic AI / Multi-Agent Workflows
• Prompt Engineering and LLM Fine-Tuning
• Vector Databases and Semantic Search: FAISS, ChromaDB, Pinecone, Azure AI Search
• FastAPI / Flask
• Microsoft Azure AI Services and Azure OpenAI
• AWS Bedrock / SageMaker
• Google Vertex AI
• Docker and Kubernetes
• GitHub / Azure DevOps
• CI/CD and MLOps
• Azure Cloud Architecture
• Azure Cloud Architecture
• Python

Benefits

• Competitive salary and benefits package
• Opportunities for professional growth and development
• A collaborative and inclusive work environment
• The opportunity to work on exciting and challenging projects with leading clients