Key skills
AI/ML/NLP/LLMsGenAIMCP serversPythonAPI developmentMicroservices architectureAzure DevOpsCloud platformsDockerKubernetesMLFlowCommunication skillsJavaC#C.NETAIMLNLPRAGAgenticMLflowASP.NETAWSAzureCI/CDCommunication
About this role
Epiq is seeking a highly skilled AI Software Engineer to join their Operations Engineering team. This role focuses on building applied AI systems that drive automation and innovation across legal operations, leveraging modern technologies to create scalable solutions.
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)