AI Platform Engineer

Computer Enterprises Inc
  • Dallas, TX
  • Remote
  • Instant Apply
Today

Job Description

Role: Senior Agentic AI Developer
Location: Remote
Schedule: EST Hours
Rate: $85/hour W2

We are seeking a Senior Agentic AI Developer to design, build, and deploy enterprise-grade AI agents and intelligent automation solutions. This role will focus on developing agentic AI applications, Retrieval-Augmented Generation (RAG) systems, LLM-powered workflows, and scalable AI platforms using Python and modern AI frameworks.
The ideal candidate has hands-on experience building production AI systems, integrating Large Language Models (LLMs), orchestrating multi-agent workflows, and deploying cloud-native applications that support real-world business processes.

Responsibilities
  • Design, develop, and deploy agentic AI applications using modern LLM frameworks and orchestration platforms.
  • Build Retrieval-Augmented Generation (RAG) solutions leveraging enterprise data sources, vector databases, and semantic search technologies.
  • Develop AI agents capable of tool calling, workflow automation, reasoning, and decision support.
  • Create scalable APIs and backend services to support AI-enabled products and applications.
  • Design and implement document ingestion, knowledge retrieval, embedding generation, and context management pipelines.
  • Collaborate with product, engineering, and business teams to identify and deliver AI-driven solutions.
  • Evaluate, test, and optimize LLM performance, response quality, latency, and reliability.
  • Implement monitoring, observability, security, and governance controls for enterprise AI systems.
  • Participate in architecture discussions, proof-of-concept development, and technical design reviews.
  • Create and maintain technical documentation, implementation plans, and best practices for AI development.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field.
  • 5+ years of software development experience with strong proficiency in Python.
  • Experience building and deploying Generative AI, LLM, or Agentic AI solutions in production environments.
  • Experience developing RAG architectures and integrating vector databases.
  • Strong understanding of prompt engineering, embeddings, semantic search, and LLM evaluation techniques.
  • Experience building APIs and microservices using Python frameworks such as FastAPI.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Experience with containerization and deployment technologies including Docker and Kubernetes.
  • Strong troubleshooting, debugging, and problem-solving skills.

Preferred Qualifications
  • Experience with LangChain, LangGraph, CrewAI, AutoGen, or similar agent orchestration frameworks.
  • Experience integrating AI agents with enterprise systems, databases, APIs, and workflow platforms.
  • Familiarity with OpenAI, Anthropic, Azure OpenAI, Amazon Bedrock, or other enterprise LLM platforms.
  • Experience with MLOps, LLMOps, and AI governance practices.
  • Experience developing multi-agent systems and autonomous workflow solutions.
  • Exposure to Go or other backend programming languages.

Technical Environment
  • Python
  • FastAPI
  • LangChain / LangGraph
  • OpenAI, Claude, Azure OpenAI, Amazon Bedrock
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases
  • Docker & Kubernetes
  • AWS / Azure / GCP
  • REST APIs & Microservices
  • Git, CI/CD Pipelines
  • LLMOps & Monitoring Frameworks


#INDCEI
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Numbers & Facts

LocationDallas, TX (
Remote
)

Skills

  • Amazon Web Services (AWS)unmatched
  • Application Programming Interface (API)unmatched
  • Artificial Intelligence (AI)unmatched
  • Artificial Intelligence (AI) Agentsunmatched
  • Automationunmatched
  • Best Practicesunmatched
  • Business Processesunmatched
  • Cloud Applicationsunmatched
  • Cloud Computingunmatched
  • Computer Scienceunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Data Scienceunmatched
  • Debugging Skillsunmatched
  • Decision Supportunmatched
  • Design Documentunmatched
  • Dockerunmatched
  • Documentation Planunmatched
  • GCP (Good Clinical Practices)unmatched
  • Gitunmatched
  • Identify Issuesunmatched
  • Information Retrievalunmatched
  • Microservicesunmatched
  • Microsoft Windows Azureunmatched
  • Modeling Languagesunmatched
  • Performance Tuning/Optimizationunmatched
  • Problem Solving Skillsunmatched
  • Product Engineeringunmatched
  • Production Systemsunmatched
  • Programming Languagesunmatched
  • Proof of Conceptunmatched
  • Python Programming/Scripting Languageunmatched
  • REST (Representational State Transfer)unmatched
  • Sales Pipelineunmatched
  • Search Rankingunmatched
  • Search Technologyunmatched
  • Semantic Searchunmatched
  • Software Agentsunmatched
  • Software Developmentunmatched
  • Software Engineeringunmatched
  • Technical Writingunmatched
  • Technical/Engineering Designunmatched
  • Testingunmatched

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