- Location
- IND-Hyderabad-Sohini Tech Park, 3rd Floor, Financial District, India
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Seniority
- Manager
- Education
- Master
- Source
- Workday
Description
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:
- Hire, mentor, coach, and grow a multidisciplinary team of software, data, and AI engineers.
- Foster a culture of innovation, collaboration, continuous learning, and engineering excellence.
- Support career development, technical growth, and high-performance execution across the team.
- Lead the end-to-end development of AI agent capabilities, including orchestration frameworks, retrieval systems, tool integrations, and conversational user experiences.
- Drive delivery of AI accelerators from concept through production deployment, ensuring scalability, reliability, and measurable business impact.
- Partner closely with Product Management, Legal Domain Experts, Review Operations, and Engineering stakeholders to execute a shared roadmap.
- Establish and maintain robust evaluation frameworks and quality standards.
- Define metrics and processes for measuring accuracy, grounding, citation quality, relevance, and system reliability.
- Implement testing and regression strategies to validate prompt, workflow, and model updates before release.
- Define operational guardrails and decision boundaries for AI-enabled workflows.
- Establish clear escalation and human-in-the-loop processes for cases requiring human review or approval.
- Ensure solutions align with security, compliance, legal, and responsible AI requirements.
- Optimize system performance across both real-time and batch-processing workloads.
- Drive architectural decisions related to model routing, retrieval strategies, inference optimization, caching, batching, and cost management.
- Balance latency, throughput, quality, and operational efficiency across large-scale deployments.
- Provide guidance on architecture, design patterns, engineering best practices, and technology strategy.
- Participate in design reviews, code reviews, technical planning, and operational readiness activities.
- Partner with global engineering leaders to drive consistency and innovation across the platform.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.
- 3+ years of people management experience leading software engineering teams.
- Strong background in software engineering with experience delivering scalable, production-grade applications and platforms.
- Experience building and delivering customer-facing products where performance, reliability, accuracy, and user trust are critical.
- Experience developing large-scale distributed systems, data processing platforms, batch workloads, or event-driven architectures.
- Strong understanding of modern web and cloud technologies, including experience with technologies such as Python, TypeScript, React, PostgreSQL, AWS, Azure, or comparable platforms.
- Proven ability to lead cross-functional initiatives involving multiple stakeholders and distributed teams.
- Excellent communication, collaboration, and leadership skills in a global environment.
- Experience in one or more of the following areas is highly desirable:
- Generative AI, Large Language Models (LLMs), and Agentic AI systems.
- Retrieval-Augmented Generation (RAG), vector databases, search technologies, and information retrieval.
- AI orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, MCP, or equivalent technologies.
- AI evaluation methodologies, model benchmarking, hallucination detection, and quality measurement.
- Fine-tuning, model optimization, inference strategies, and model lifecycle management.
- Enterprise-scale AI applications supporting knowledge-intensive workflows.
- Legal technology, eDiscovery, compliance, investigations, or document review processes.
Epiq Leadership Compass
Builds Talented Teams
Builds and develops inclusive, high-performing teams aligned to strategic goals for exceptional talent and business results.
Focus on employee engagement
Build a strong talent pipeline
Fosters Relationships & Collaboration
Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.
Build trust-based partnerships
Nurture long-term relationships
Remove collaboration barriers
Celebrate cross-team success
Engages & Influences
Inspires action and alignment through clear communication, purposeful influence, and a compelling vision.
Use storytelling to build buy-in
Align communication with organizational goals
Guild alignment through strong engagement
Maximizes Performance
Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq’s goals.
Use data to identify improvement opportunities
Make informed decisions
Align team goals with boarder strategy
Empower teams to manage their own goals
Translate vision into clear priorities
Prepare for disruptions with strong change management
Achieves Operational Success
Drives continuous improvement and operational excellence through smart processes, data insights, and quality execution.
Improve workflows for team efficiency
Use clear documentation and expectations
Resolve issues quickly using data and feedback
It is Epiq’s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq’s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.