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AI Engineer

3 hours, 52 minutes ago
United States
Contract
Mid Level
AI Engineer
Software Development
Azure CI/CD Django FastAPI Flask Git GitHub LLM Python
Apply Now
FutureSoft Consulting,

FutureSoft Consulting,

FutureSoft Consulting, Inc. is a leading provider of Data Visualization, Business Intelligence, and Cloud Business Transformation Solutions. They specialize in simplifying the process of data-driven decision making by offering innovative and cost-effec...

Internet Software & Services
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Description

  • Maintain, enhance, and extend existing AI-enabled applications and supporting services.
  • Develop application logic, backend services, and web APIs using Python and modern web frameworks such as FastAPI.
  • Build, test, and support applications powered by large language models and related AI platforms.
  • Compare and evaluate AI models based on performance, accuracy, cost, latency, and reliability.
  • Configure, deploy, monitor, and maintain applications and services in cloud environments.
  • Deploy and support services using Microsoft Azure technologies such as Azure App Service, Azure Storage, and Azure Key Vault.
  • Participate in requirements gathering, design discussions, and project planning with business and technical stakeholders.
  • Prepare source code, debug issues, correct errors, and maintain software quality.
  • Use Git-based source control, branching, pull requests, and code review workflows.
  • Document technical procedures, system workflows, application processes, and deployment steps.
  • Apply secure development practices when working with confidential, regulated, or sensitive data.
  • Collaborate with client teams and the Connecticut AI Lab to support AI application development and modernization efforts.
  • Participate in the evaluation of new AI tools, frameworks, models, and related technologies.

Requirements

  • Minimum 3 years of Python development experience in a web application environment, including application logic and web APIs.
  • Minimum 2 years of experience building applications powered by large language models such as OpenAI GPT, Anthropic Claude, Google Gemini, or similar platforms.
  • Experience building LLM-powered applications using retrieval-augmented generation, document chunking, embedding generation, semantic or hybrid search, and vector stores.
  • Minimum 2 years of professional experience improving prompts and evaluating prompt outputs to improve response quality, reduce hallucinations, validate model outputs, and compare models based on accuracy, latency, cost, and reliability, including A/B testing.
  • Experience working with modern web frameworks such as FastAPI, Flask, or Django.
  • Experience deploying applications and supporting services in cloud environments, including hands-on experience with Microsoft Azure services such as Azure App Service, Azure Storage, Azure Key Vault, Azure Functions, or related services.
  • Experience using Git-based source control, branching, pull-request-based workflows, code reviews, and CI/CD practices.
  • Strong understanding of secure development practices and proper handling of confidential or regulated data.
  • Experience collaborating with both technical and non-technical stakeholders, including business users, analysts, developers, platform teams, security or compliance teams, and leadership.
  • Ability to take a user request from intake through design, development, testing, deployment, and production support, while clarifying requirements, explaining technical options, and communicating risks and tradeoffs.
  • Experience discussing responsible AI, data security, model evaluation, hallucination risk, accuracy, cost, latency, and production reliability with non-technical stakeholders.
  • Experience using AI-assisted software development tools to write, review, debug, and improve code.
  • Located within the United States.
  • Available during Eastern Time business hours.
  • Available for occasional after-hours support for production issues, deployments, urgent troubleshooting, or system maintenance needs.
  • Preferred: Experience with GitHub or Azure DevOps, especially Azure DevOps.
  • Preferred: Experience with AI monitoring, observability, and governance, including tracking prompt performance, model behavior, response quality, drift, logging, and auditability.
  • Preferred: Experience presenting technical designs, model comparisons, implementation recommendations, or production support updates to business or agency stakeholders.
  • Preferred: Experience with prompt engineering, RAG, embeddings, vector databases, model evaluation, or AI application monitoring.

Interested in this position?

Apply directly on the company website

Apply Now

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