Lead Software Engineer

1128 Indiris Data Services Private Limited; Hyderabad; On-site; INR 3,000,000 - 6,500,000; Full time

Benefits offered by this job

Learning & mobility program

Flexible work arrangements

Global project exposure

Job summary

Epiq is seeking a Lead Software Engineer - AI Solutions to lead design, development, and delivery of scalable AI-powered applications. You will mentor engineers, drive architecture decisions, and collaborate with product owners and data teams to translate business needs into technical solutions.

In this hands-on role, you will architect cloud-native microservices, ensure security and performance, and evolve AI capabilities using LLMs, vectors, and AI orchestration in enterprise environments.

Qualifications

• Bachelor's or Master's degree in CS, software engineering, IT, or related field.
• 8–12 years of professional software engineering experience.
• Strong hands-on experience with Python and/or Java in enterprise-scale apps.
• Experience designing distributed systems, APIs, microservices, and cloud-native architectures.
• Strong frontend experience with React or similar frameworks.

Responsibilities

• Lead design, development, and delivery of scalable enterprise applications, APIs, and services.
• Drive architectural decisions and technical solution design across products and platforms.
• Mentor engineers and guide delivery teams through the SDLC.

Skills

Python/Java

Full Stack

AI Solutions

Cloud Engineering

Data Engineering

Education

Bachelor's or Master's in CS or related

Tools

Azure

AWS

Kubernetes

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: Summary

We are seeking a highly skilled Lead Software Engineer - AI Solutions with strong expertise in Full Stack Software Development, Solution Design, Cloud Engineering, Data Engineering, and AI application development. This is a hands‑on technical leadership role for an experienced engineer who combines deep software engineering expertise with the ability to lead the design and delivery of scalable, enterprise‑grade solutions. The ideal candidate will provide technical direction, mentor engineers, and drive the successful implementation of modern AI‑powered applications while remaining actively involved in architecture, development, and problem‑solving activities. As a Lead Software Engineer, you will work closely with Product Owners, business stakeholders, architects, data engineers, DevOps teams, and software engineers to design, build, and maintain scalable products and AI solutions. You will play a critical role in translating business requirements into technical solutions, driving engineering best practices, and ensuring successful delivery of complex initiatives.

Key Responsibilities

• Lead the design, development, and delivery of scalable enterprise applications, APIs, and services.
• Drive technical solution design and contribute to architectural decisions across products and platforms.
• Collaborate with Product Owners and stakeholders to translate business requirements into scalable technical solutions.
• Provide technical leadership and guidance to engineering teams throughout the software development lifecycle.
• Lead design reviews, code reviews, and technical discussions to ensure engineering quality and consistency.
• Design and implement microservices, integrations, reusable frameworks, and cloud‑native applications.
• Ensure software solutions meet security, compliance, performance, scalability, and reliability requirements.
• Partner with DevOps teams to implement CI/CD pipelines, deployment automation, observability, and operational best practices.
• Drive continuous improvement initiatives related to software architecture, development standards, testing, and operational excellence.
• Mentor and coach Associate and Senior Software Engineers while fostering a culture of collaboration, innovation, and engineering excellence.
• Evaluate emerging technologies and recommend improvements that enhance product capabilities and development efficiency.
• Act as the primary technical point of contact for delivery teams and provide guidance for resolving complex technical challenges.

AI Responsibilities

• Lead the design and implementation of AI‑powered applications and intelligent automation solutions.
• Design scalable Retrieval‑Augmented Generation (RAG) architectures and enterprise knowledge retrieval solutions.
• Build and deploy AI‑enabled services leveraging Large Language Models (LLMs), vector databases, and AI orchestration frameworks.
• Define engineering standards and best practices for Generative AI development across teams.
• Guide the implementation of prompt engineering strategies, evaluation frameworks, and AI observability practices.
• Collaborate with architects, data engineers, and business stakeholders to identify and prioritize AI use cases.
• Evaluate emerging AI technologies, frameworks, and tools, recommending practical adoption strategies.
• Design integrations between AI platforms, enterprise systems, APIs, and data sources.
• Ensure AI solutions align with security, compliance, responsible AI, and data governance requirements.
• Mentor engineering teams on AI development patterns, framework selection, and implementation best practices.
• Drive the adoption of reusable AI accelerators, agent workflows, and scalable AI engineering patterns.

Requirements / Skills

• Bachelor's or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
• 8‑12 years of professional software engineering experience.
• Strong hands‑on experience developing and delivering enterprise‑scale applications using Python and/or Java.
• Proven experience designing distributed systems, APIs, microservices, and cloud‑native architectures.
• Strong experience building modern web applications using React or similar front‑end frameworks.
• Solid understanding of enterprise integration patterns, software architecture principles, and system design methodologies.
• Experience working with Microsoft Azure (preferred) and/or AWS cloud platforms.
• Strong experience with DevOps practices including CI/CD pipelines, containerization, Kubernetes, Infrastructure as Code, and deployment automation.
• Familiarity with Azure DevOps, GitHub Actions, Terraform, and modern software delivery practices.
• Experience working with relational databases, NoSQL databases, and enterprise data platforms.
• Strong analytical, troubleshooting, and problem‑solving abilities.
• Excellent communication and stakeholder management skills with the ability to engage effectively with technical and non‑technical audiences.
• Demonstrated experience mentoring engineers and leading technical initiatives.

Preferred AI Skills & Experience

• Hands‑on experience designing and deploying Generative AI solutions in production environments.
• Strong understanding of Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), Agentic AI, and AI orchestration patterns.
• Experience working with frameworks such as LangChain, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, or similar technologies.
• Experience integrating solutions using Azure OpenAI, Azure AI Foundry, AWS Bedrock, Anthropic, OpenAI APIs, or equivalent AI platforms.
• Experience with vector databases, embeddings, semantic search, knowledge retrieval systems, and AI evaluation frameworks.
• Understanding of prompt engineering, model evaluation, AI observability, and performance optimization techniques.
• Familiarity with emerging AI interoperability standards such as MCP (Model Context Protocol) and agent communication patterns.
• Experience building AI‑enabled workflows, intelligent automation solutions, and enterprise AI integrations.
• Exposure to Snowflake, Databricks, modern data engineering platforms, and AI/ML infrastructure is highly desirable.

Your salary

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.

Epiq Leadership Compass

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

Equal Opportunity Statement

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 or 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.

About Epiq

Epiq is a leading global provider of integrated technology and services for the legal profession, including eDiscovery, managed services, bankruptcy, class action and mass tort administration, federal regulatory actions and data breach responses. Our innovative solutions are designed to streamline the administration of litigation, investigations, financial transactions, regulatory compliance and other legal matters. Epiq’s subject‑matter experts bring clarity to complexity, create efficiency through expertise and deliver confidence to our clients around the world. We strive for a cohesive, collaborative environment that focuses on group achievement. With over 8000 associates worldwide, Epiq operates in 19 countries and over 80 global locations.