AI Engineer

Tech3pillars Technologies; Alaska; On-site; USD 120,000 - 160,000; Full time

Job summary

Tech3pillars Technologies is seeking an AI Engineer to lead AI/LLM development, design RAG architectures, and build scalable AI-powered applications. The role emphasizes Azure AI services, API integration, and end-to-end cloud deployments.

The candidate will design agent-based workflows, implement prompt engineering, and orchestrate AI components across enterprise platforms, including data and document workflows.

Qualifications

• Experience designing AI/LLM applications and workflows.
• Experience with prompt engineering and agent-based AI.
• Familiarity with Azure AI services and cloud deployments is a plus.

Responsibilities

• AI & LLM Development and experimentation.
• Design and implement Generative AI applications using Azure OpenAI and LLMs.
• Develop agentic AI workflows with reasoning, planning and tool execution.
• Implement prompt engineering, function calling, structured outputs, and AI orchestration patterns.
• Build multi-agent solutions using LangGraph, LangChain, Semantic Kernel, or LlamaIndex.

Skills

Python

Tools

Azure OpenAI

LangGraph

LangChain

Semantic Kernel

LlamaIndex

Azure Kubernetes Service

Docker

Kubernetes

Azure Functions

Azure DevOps

GitHub Actions

Job description

Job Title : AI Engineer

Location : Indianapolis, IN

Key Responsibilities

• AI & LLM Development
• Design and implement the Generative AI applications using Azure OpenAI and Large Language Models.
• Develop Agentic AI workflows capable of reasoning, planning, and tool execution.
• Implement prompt engineering, function calling, structured outputs, and AI orchestration patterns.
• Build multi-agent solutions using frameworks such as LangGraph, LangChain, Semantic Kernel, or LlamaIndex.

RAG & Vector Search

• Design and implement Retrieval-Augmented Generation (RAG) architectures.
• Develop document ingestion, chunking, embedding, and indexing pipelines.
• Implement semantic search, hybrid search, vector search, and re-ranking solutions.
• Optimize retrieval quality and reduce hallucinations through grounding and citation strategies.

Azure AI Platform

• Develop solutions using Azure AI Foundry
• Develop solutions using Azure OpenAI Service
• Develop solutions using Azure AI Search
• Develop solutions using Azure AI Agent Service
• Develop solutions using Azure AI Document Intelligence
• Develop solutions using Azure Machine Learning
• Configure and manage AI models, deployments, prompts, evaluations, and monitoring.

Application & API Development

• Develop scalable REST APIs using Python.
• Build microservices and backend services supporting AI workloads.
• Integrate AI solutions with Salesforce
• Integrate AI solutions with SAP
• Integrate AI solutions with ServiceNow
• Integrate AI solutions with CRM applications
• Integrate AI solutions with Internal business platforms

AI Routing & Orchestration

• Design intelligent routing mechanisms that determine whether requests should be fulfilled through Enterprise APIs
• Design intelligent routing mechanisms that determine whether requests should be fulfilled through Knowledge Search (RAG)
• Design intelligent routing mechanisms that determine whether requests should be fulfilled through LLM reasoning
• Design intelligent routing mechanisms that determine whether requests should be fulfilled through Agent-based workflows
• Build intent classification, context management, and decision engines.

Cloud & DevOps

• Deploy AI solutions using Azure Kubernetes Service (AKS)
• Deploy AI solutions using Docker
• Deploy AI solutions using Kubernetes
• Deploy AI solutions using Azure App Services
• Deploy AI solutions using Azure Functions
• Implement CI/CD pipelines using Azure DevOps or GitHub Actions.
• Monitor solution performance, security, and operational health