Senior Software Engineer – AI Applications

At Epiq , your work contributes to complex, global legal outcomes. You’ll join a values‑driven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprise‑wide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that’s recognized externally. Enabled by modern platforms and AI, you’ll do the most meaningful work of your career and see your impact at scale.

Job Description: Position Summary We are seeking a Senior Software Engineer – AI Applications. In this role, you will design, develop, and maintain cloud-native, AI-driven products for Epiq’s Fortune-500 customers. This role requires strong development skills, a passion for AI-driven products, and an understanding of Cloud services.

This role is part of Epiq’s Legal Solutions (LS) business and a team member of LS Hyderabad-based product-engineering teams of 75+ employees. This role is also the first hire of a new team chartered to build next-generation legal and compliance products.

Job Responsibilities

• Development: Design, develop, ship, and maintain applications using modern frameworks and technologies. Own roadmaps, plans, and timelines. Lead architectural discussions and make technical decisions. Work on both rapid prototypes and enterprise-quality, high-scale products.
• AI Applications: Select and deploy foundation models and LLMs as a service. Write and refine prompts. Measure, evaluate, and optimize model performance. Integrate models into workflows. Extend model capabilities with memory, tools, guardrails, and multi-agent patterns. Acquire, clean, and synthesize data sets. Partner with domain experts to capture knowledge. Stay current with AI trends and apply them to solve real-world problems.
• Cloud: Leverage the tools and services of a major cloud provider. Build APIs, microservices, and serverless functions to support application functionality. Manage our cloud environment and CI/CD pipelines. Make tradeoffs around performance and cost.
• Communications: Partner with business leaders in India, US, and Europe. Clearly communicate status, technical challenges, tradeoffs, and insights.
• Collaboration: Work closely with product managers, designers, data scientists, domain experts, and lead customers. Help shape requirements and roadmap. Help manage complex tradeoffs in speed, quality, and scope.
• Leadership: Build relationships, raise issues, define alternatives, and uncover resources. Establish practices, processes, and culture for a growing team.

Requirements

• Education: Bachelor’s in Computer Science, Engineering, AI/ML, or a related field. Master’s preferred.
• Experience: 5+ years of experience as a software engineer, as an AI/ML/Data engineer, or in a similar role.
• Development: Proficient in Python or JavaScript/Typescript. Java/Go/C++ nice to have. Hands-on back-end experience. Familiarity with common front-end technologies. Familiarity with relational, non-relational and vector databases. Comfort with Agile processes.
• AI: More than one year of engineering experience (including relevant projects) building production-quality applications leveraging LLMs. Experience with frameworks for AI applications (e.g., LangChain, LlamaIndex, Haystack). Knowledge of deep learning and ML frameworks (e.g., TensorFlow, PyTorch). Experience managing data sets. Familiarity with MLOps.
• Cloud: Experience with cloud platforms (e.g., AWS, Azure, or GCP). Solid understanding of RESTful APIs, microservices architecture, and containerization.
• Soft skills: Excellent communications and collaboration skills. Results-driven, entrepreneurial, and comfortable working from 0→1.
• Physical Requirements: Ability to work in an office environment and perform tasks that may require sitting, standing, and using office equipment.

Your specific salary will be determined based on several factors:

• Location-based market rate for the role
• Your abilities in relation to the job specification
• Performance during screening and interview
• Pay parity with the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

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