Engineering Manager AI Platform

Epiq; Hyderabad; Hybrid; INR 4,200,000 - 7,000,000; Full time

Job summary

Epiq is seeking an Engineering Manager, AI Agents & Accelerators in Hyderabad to lead a high‑performing engineering team building intelligent AI solutions for complex legal workflows. You will guide architecture, reviews, and delivery across product and platform efforts while ensuring quality and accountability.

You will drive scalable AI agent capabilities, orchestration, and integration with retrieval systems, delivering impact at scale in a fast‑growing domain.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related technical field, 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 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.

Responsibilities

• 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.

Skills

People management

Software engineering

Distributed systems

Cloud technologies

Python

TypeScript

React

AWS

Azure

Education

Bachelor's or Master's in CS/Engineering

Tools

Python

TypeScript

React

PostgreSQL

AWS

Azure

Job description

Job 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

About The Role

Epiq supports some of the world's largest and most complex legal matters, where document collections can range from thousands to millions of records. As an Engineering Manager, AI Agents & Accelerators, you will lead a high-performing engineering team responsible for building intelligent AI-powered solutions that transform how legal professionals interact with and analyze data at scale.

AI Agents

Intelligent, conversational systems that enable legal professionals to ask complex questions in natural language and receive accurate, evidence-based responses grounded in case data. These agents leverage advanced retrieval, reasoning, orchestration, tool integration, and citation capabilities to support legal workflows with transparency and trust.

AI Accelerators

AI-powered workflows and models designed to automate and streamline large-scale document review and analysis. These solutions assist with tasks such as responsiveness classification, privilege identification, PII/PHI detection, summarization, translation, transcription, entity extraction, timeline generation, and other review‑intensive activities.

The ultimate goal is to help legal teams reach defensible outcomes faster, improve review efficiency, and reduce overall litigation and investigation costs while maintaining the highest standards of quality and accountability.

This is a hands‑on engineering leadership role. You will be accountable for team performance, technical excellence, product delivery, and operational outcomes. While your primary focus will be leading engineers, you are expected to engage deeply in architectural decisions, engineering reviews, evaluation strategies, and technology direction.

Key Responsibilities

Team Leadership & Talent Development

• 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.

Product & Platform Delivery

• 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.

AI Quality & Evaluation

• 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.

Governance & Responsible AI

• 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.

Performance & Scalability

• 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.

Technical Leadership

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.