Senior Agentic AI Engineer

Spectraforce; Houston (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Spectraforce seeks a Senior Agentic AI Engineer to design, build, and deploy production-grade Generative AI solutions on Microsoft Azure. You will develop multi-agent and RAG pipelines, integrate AI agents with enterprise data, and deliver secure, scalable AI applications.

You will collaborate with architects, software engineers, and data teams to translate requirements into AI-powered software, while ensuring reliability, observability, and maintainability across environments.

Qualifications

• Bachelor's degree (or international equivalent) and 8+ years of relevant software engineering experience
• 2-3 years of hands-on Generative AI, LLM application, or Agentic AI solution development experience
• Strong software engineering background with production-grade cloud applications
• Experience building front-end applications with React and TypeScript, and back-end services with Node.js
• Hands-on experience with Generative AI and RAG applications using Azure AI Foundry, Azure OpenAI, Azure AI Search, embeddings, vector or hybrid search, knowledge retrieval, grounding, and citations
• Experience with Agentic AI frameworks such as Microsoft Agent Framework, Semantic Kernel, LangGraph, AutoGen, or comparable orchestration frameworks
• Experience evaluating and improving agent quality, including prompt engineering, test datasets, LLM-based evaluation, safety checks, and production feedback loops
• Strong knowledge of LLMOps, CI/CD, containerization (Docker and Kubernetes), observability, and production operations for AI applications
• Good understanding of RESTful API principles, asynchronous patterns, secure integrations, relational databases, SQL, and data-access patterns
• Experience in enterprise environments with large-scale, secure AI deployments, including identity and data privacy

Responsibilities

• Design, develop, and deploy production-grade Generative AI applications on Azure
• Build multi-agent workflows and Retrieval-Augmented Generation pipelines
• Create secure integrations between AI agents and enterprise tools, REST APIs, and databases
• Develop user-facing AI experiences using React/TypeScript and backend services with Node.js
• Design single-agent and multi-agent systems for intelligent automation and complex workflows
• Develop autonomous and human-in-the-loop agents that plan, reason, and interact with tools and data
• Implement agent framework-based workflows and tool management
• Define evaluation approaches for agent quality including grounding, citations, safety, and regression testing
• Instrument agent workflows with observability platforms and telemetry
• Build scalable, containerized solutions with CI/CD, health checks, and production monitoring

Skills

Generative AI

LLM development

Agentic AI

Problem-solving

Collaboration

Communication

Research skills

Security awareness

Education

Bachelor's degree or international equivalent

Tools

React

TypeScript

Node.js

Azure OpenAI

Azure AI Search

Embeddings

Vector or hybrid search

Microsoft Agent Framework

Azure Foundry

LangGraph

Job description

Overview: We are seeking a highly skilled Senior Agentic AI Engineer to design, develop, and deploy modern Agentic AI solutions. This role focuses on building production-grade Generative AI applications, multi-agent workflows, and Retrieval-Augmented Generation (RAG) pipelines for enterprise use on Microsoft Azure. Collaborate with architects, software engineers, data engineers, and business stakeholders to translate requirements into AI-powered software solutions.

Key Responsibilities:

• Build Generative AI & Retrieval-Augmented Generation LLM Applications for text generation, summarization, Q&A, conversational AI, enterprise knowledge search, and multi-agent orchestration
• Develop advanced RAG pipelines using embeddings, Azure AI Search vector and hybrid retrieval, document chunking, metadata filtering, reranking, citations, and grounding techniques with enterprise data
• Build secure, reliable integrations between AI agents and enterprise tools, REST APIs, relational databases, and event-driven services
• Develop and maintain user-facing AI application experiences using React and TypeScript, and supporting application services using Node.js or comparable back-end technologies
• Design and implement single-agent and multi-agent systems for intelligent automation, decisioning, and complex workflows
• Build autonomous and human-in-the-loop agents that plan, reason, act, and interact with tools, APIs, enterprise data, and event-driven systems
• Develop agentic workflows using Microsoft Agent Framework, Azure AI Foundry services, or comparable modern orchestration frameworks
• Implement configuration-driven agent behavior, prompt and tool management, authorization boundaries, and resilient error-handling patterns
• Define and automate evaluation approaches for agent quality, including groundedness, relevance, citation quality, safety, and regression testing
• Instrument agent workflows for traces, tool calls, latency, token usage, errors, and operational metrics using OpenTelemetry, Application Insights, or comparable observability platforms
• Build highly scalable, secure, containerized solutions with CI/CD, health checks, horizontal scaling, and production monitoring

Required Qualifications:

• Bachelor's degree (or international equivalent) and 8+ years of relevant software engineering experience
• 2-3 years of hands-on Generative AI, LLM application, or Agentic AI solution development experience
• Strong software engineering background with experience designing and deploying production-grade cloud applications
• Experience building front-end applications with React and TypeScript, and back-end services with Node.js or comparable application frameworks
• Hands-on experience building Generative AI and RAG applications with Azure AI Foundry, Azure OpenAI, Azure AI Search, LLM APIs, embeddings, vector or hybrid search, knowledge retrieval, grounding, and citations
• Experience with Agentic AI frameworks such as Microsoft Agent Framework, Semantic Kernel, LangGraph, AutoGen, or comparable orchestration frameworks
• Experience evaluating and improving agent quality, including prompt engineering, test datasets, LLM-based evaluation, safety checks, and production feedback loops
• Strong knowledge of LLMOps, CI/CD, containerization (Docker and Kubernetes), observability, and production operations for AI applications
• Good understanding of RESTful API principles, asynchronous application patterns, secure integrations, relational databases, SQL, and data-access patterns
• Experience working in an enterprise environment with large-scale, secure AI deployments, including identity, authorization, data privacy, compliance, and production monitoring
• Strong analytical, problem-solving, collaboration, and communication skills