AI Software Engineer

Position Summary

The Software Engineer will be responsible for spearheading development, optimization, design and delivery of both end to end software solutions as well as automated solutions. This role will require the developer work with a global team to deliver and support development initiatives across several business functions using an agile delivery method.

To be successful you should apply programming best practices to develop applications and API s to support Epiq s automation initiatives using bleeding edge technology. You must be a self-driven and strong communicator who can thrive in a face-paced, cutting edge environment. The role requires significant collaboration with IT and business resources, also requiring the ability to present technical details to a non-technical audience.

As a Full Stack Software Engineer, you will analyze data related to workflow, processes and reporting, accessing the efficacy of current operations and devising strategic improvements. You may also re-engineer solutions for optimization future-state workflows and architectures.

Key Responsibilities

• Design, implement, and optimize AI/ML models and intelligent agents for real-world use cases.
• Collaborate with cross-functional teams to transition prototypes into production-ready solutions.
• Enhance performance, scalability, and cost efficiency of AI systems.
• Build modular, reusable components for AI-powered platforms.
• Integrate GenAI solutions into applications using APIs and microservices.
• Define and implement best practices for model monitoring, retraining, and CI/CD pipelines.
• Document processes, workflows, and guidelines for knowledge sharing.
• Stay ahead of AI/ML trends and recommend innovative tools, frameworks, and methodologies.

Qualifications & Experience

• Bachelor s degree in computer science, Engineering, or related field (or equivalent hands-on experience).
• 3+ years in full-stack software development (design, build, deploy of scalable applications).
• Preferred: .NET Core, Entity Framework Core, SQL Server/Oracle.
• 1 2 years applied experience in AI/ML (NLP, LLMs, GenAI, model training, tuning, optimization).
• Strong programming expertise in Python, C#/.NET, Java.
• Experience with Azure/AWS cloud services and their AI/ML ecosystems.
• Familiarity with ML tools & workflows: Docker, Kubernetes, MLFlow, etc.
• Solid understanding of algorithms, data structures, and engineering principles.
• Exposure to Agile frameworks (Lean Six Sigma basics a plus).
• Excellent communication skills with ability to translate technical details for non-technical stakeholders.
• Strong problem-solving mindset, thriving in fast-paced, global environments.