Key skills
PythonJavaC#C.NETAIMLNLPGenAIRAGAgenticMLflowASP.NETAWSAzureKubernetesDockerAzure DevOpsCI/CDCommunication
About this role
Epiq is a company focused on complex, global legal outcomes, fostering a community driven by integrity and relentless service. They are seeking a highly skilled AI Software Engineer to design and implement AI systems that enhance automation and efficiency in legal operations, leveraging modern technologies and development practices.
Responsibilities:
- Design, develop, and deploy AI-driven features and intelligent agents for real-world use cases
- Integrate GenAI and LLMs into applications via APIs and microservices
- Collaborate with product owners, architects, and engineers to transition prototypes into scalable production systems
- Drive hyper automation initiatives by modernizing legacy automations using MCP servers and agentic frameworks
- Engineer robust, reusable components and services with a focus on performance, scalability, and cost-efficiency
- Apply prompt engineering techniques to optimize model interactions and outcomes
- Ensure compliance, security, and ethical standards in all AI development
- Document processes, architectures, and best practices in Epiq’s internal knowledge base
- Integrate external products with Epiq’s proprietary solutions
- Stay current with AI advancements and recommend tools, frameworks, and methodologies
Requirements:
- 3+ years of experience in AI/ML/NLP/LLMs or related fields
- Hands-on experience with GenAI, model training, 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 cloud platforms (Azure/AWS) and their AI services
- Experience with API development, microservices architecture, and CI/CD pipelines
- Knowledge of tools like Docker, Kubernetes, MLFlow, and Azure DevOps
- Solid understanding of software engineering principles, data structures, and algorithms
- Excellent communication skills and ability to present technical concepts to non-technical stakeholders
- Bachelor's degree in Computer Science or related field (or equivalent experience)