23 hours ago
Remote, United States +7 moreMid Level
Base Salary
$120k - $160k/yr
Responsibilities
- Design, develop, and deploy AI-driven features and intelligent agents for real-world use cases.
- Integrate GenAI and LLMs into applications through APIs and microservices.
- Collaborate with product owners, architects, and engineers to move prototypes into scalable production systems.
- Modernize legacy automations using MCP servers and agentic frameworks as part of hyper-automation initiatives.
- Build robust, reusable, performant, scalable, and cost-efficient components and services.
- Apply prompt engineering to optimize model interactions and outcomes.
- Ensure compliance, security, and ethical standards in AI development.
- Document processes, architectures, and best practices in Epiq’s internal knowledge base.
- Integrate external products with Epiq’s proprietary solutions and recommend relevant AI tools and frameworks.
- Use Azure DevOps to support modern development practices, delivery, and ticketing.
Requirements
- Hands-on experience with GenAI, model training, model evaluation, and hyperparameter tuning.
- Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation (RAG).
- Strong programming skills in Python, C# (.NET/ASP.NET), Java, or similar languages.
- Familiarity with Azure or AWS and their AI services.
- Experience with API development, microservices architecture, and CI/CD pipelines.
- Knowledge of Docker, Kubernetes, MLFlow, and Azure DevOps.
- Understanding of software engineering principles, data structures, and algorithms.
- Excellent communication skills and the ability to present technical concepts to non-technical stakeholders.
- Bachelor’s degree in Computer Science or a related field, or equivalent experience.
Benefits
- Remote work arrangement.
- Enterprise-wide learning and internal mobility opportunities.
- Work flexibility supporting life beyond work.
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