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Staff Software Engineer, AI @Agiloft

[Hiring] Staff Software Engineer, AI @Agiloft

Apr 01, 2025 - Agiloft is hiring a remote Staff Software Engineer, AI. 💸 Salary: unspecified. 📍Location: USA.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

As a Staff Software Engineer, AI, you will play a key role in designing, building, and maintaining AI-powered enterprise applications. You will work closely with product managers, designers, and engineers to deliver innovative software solutions that solve high-stakes problems for our customers. Your primary focus will be on Screens, an AI-powered contract review application, where you will apply cutting-edge techniques using LLMs, RAG, and AI agent frameworks. You will also contribute to improving internal AI tooling, driving best practices, and mentoring team members.

Job Responsibilities

  • Design, build, and maintain AI-driven enterprise applications, with a focus on integrating and optimizing commercial and open source LLM APIs
  • Evaluate and implement RAG pipelines, agent architectures, and fine-tuned model solutions
  • Partner with product managers and designers to identify AI opportunities, brainstorm solutions, and deliver intuitive, high-quality user experiences
  • Develop and maintain robust backend services and APIs to support AI-powered features, ensuring scalability and reliability
  • Continuously improve AI model evaluation processes and system performance, focusing on accuracy, latency, and cost-efficiency
  • Enhance internal AI developer tools, workflows, and infrastructure to increase productivity and streamline AI experimentation
  • Lead efforts to establish AI engineering best practices, including prompt engineering, evaluation frameworks, and error handling for AI systems
  • Troubleshoot and resolve complex issues across the AI and application stack, ensuring high availability and fault tolerance
  • Participate in incident response, disaster recovery efforts, and ongoing system monitoring
  • Other duties as assigned

Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)
  • Minimum 5+ years of professional experience as a software engineer, with 3+ years of applied AI/ML experience
  • Proven experience integrating commercial LLM APIs (OpenAI, Anthropic, or similar) into modern software applications
  • Strong knowledge of building cloud-native applications using serverless technologies (API Gateway, Lambda, DynamoDB or similar)
  • Deep understanding of AI model evaluation, prompt engineering, and RAG techniques
  • Strong problem-solving skills with a solid understanding of system architecture, distributed systems, and performance optimization
  • Familiarity with AI agent frameworks, evaluation methodologies, and benchmarking tools
  • Hands-on experience building RAG-based systems, working with vector databases, and AI evaluation pipelines
  • Excellent collaboration, teamwork, and communication skills
  • Eagerness to stay up to date with the latest AI advancements

Preferred Qualifications

  • Exposure to cutting-edge agentic frameworks, LLM chaining, or other complex LLM workflows
  • Experience with fine-tuning commercial or open source LLMs
  • Proficiency in Infrastructure as Code with AWS (CloudFormation, SAM, or Terraform)
  • Hands-on experience with traditional data science and machine learning techniques
  • Comfortability with data science tooling in Python (numpy, scipy, scikit-learn, pandas) to support AI experimentation
  • Experience with CI/CD pipelines and DevOps practices using GitHub Actions or similar
  • Knowledge of containerization and orchestration using Docker and ECS

Company Description

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Staff Software Engineer, AI @Agiloft
Software Development
Salary 💸 unspecified
Remote Location
USA
Job Type full-time
Posted Apr 01, 2025
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📍 Be aware of the location restriction for this remote position: USA
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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