{"id":1380282,"url":"https://alion.io/job/epiq-lead-software-engineer","title":"Lead Software Engineer","company":{"id":4815,"name":"Epiq","domain":"epiqglobal.com","url":"https://alion.io/company/epiq","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":14,"ghost_share":0,"stale_share":0.857,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-10-03T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-28T08:14:44Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-04T00:52:26Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"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 wethrive 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.\nJob Description:\nSummary\nWe 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.\nThis 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.\nAs 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.\nKey Responsibilities\nLead the design, development, and delivery of scalable enterprise applications, APIs, and services.\nDrive technical solution design and contribute to architectural decisions across products and platforms.\nCollaborate with Product Owners and stakeholders to translate business requirements into scalable technical solutions.\nProvide technical leadership and guidance to engineering teams throughout the software development lifecycle.\nLead design reviews, code reviews, and technical discussions to ensure engineering quality and consistency.\nDesign and implement microservices, integrations, reusable frameworks, and cloud-native applications.\nEnsure software solutions meet security, compliance, performance, scalability, and reliability requirements.\nPartner with DevOps teams to implement CI/CD pipelines, deployment automation, observability, and operational best practices.\nDrive continuous improvement initiatives related to software architecture, development standards, testing, and operational excellence.\nMentor and coach Associate and Senior Software Engineers while fostering a culture of collaboration, innovation, and engineering excellence.\nEvaluate emerging technologies and recommend improvements that enhance product capabilities and development efficiency.\nAct as the primary technical point of contact for delivery teams and provide guidance for resolving complex technical challenges.\nAI Responsibilities\nLead the design and implementation of AI-powered applications and intelligent automation solutions.\nDesign scalable Retrieval-Augmented Generation (RAG) architectures and enterprise knowledge retrieval solutions.\nBuild and deploy AI-enabled services leveraging Large Language Models (LLMs), vector databases, and AI orchestration frameworks.\nDefine engineering standards and best practices for Generative AI development across teams.\nGuide the implementation of prompt engineering strategies, evaluation frameworks, and AI observability practices.\nCollaborate with architects, data engineers, and business stakeholders to identify and prioritize AI use cases.\nEvaluate emerging AI technologies, frameworks, and tools, recommending practical adoption strategies.\nDesign integrations between AI platforms, enterprise systems, APIs, and data sources.\nEnsure AI solutions align with security, compliance, responsible AI, and data governance requirements.\nMentor engineering teams on AI development patterns, framework selection, and implementation best practices.\nDrive the adoption of reusable AI accelerators, agent workflows, and scalable AI engineering patterns.\nRequirements / Skills\nBachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related field.\n8-12 years of professional software engineering experience.\nStrong hands-on experience developing and delivering enterprise-scale applications using Python and/or Java.\nProven experience designing distributed systems, APIs, microservices, and cloud-native architectures.\nStrong experience building modern web applications using React or similar front-end frameworks.\nSolid understanding of enterprise integration patterns, software architecture principles, and system design methodologies.\nExperience working with Microsoft Azure (preferred) and/or AWS cloud platforms.\nStrong experience with DevOps practices including CI/CD pipelines, containerization, Kubernetes, Infrastructure as Code, and deployment automation.\nFamiliarity with Azure DevOps, GitHub Actions, Terraform, and modern software delivery practices.\nExperience working with relational databases, NoSQL databases, and enterprise data platforms.\nStrong analytical, troubleshooting, and problem-solving abilities.\nExcellent communication and stakeholder management skills with the ability to engage effectively with technical and non-technical audiences.\nDemonstrated experience mentoring engineers and leading technical initiatives.\nPreferred AI Skills & Experience\nHands-on experience designing and deploying Generative AI solutions in production environments.\nStrong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and AI orchestration patterns.\nExperience working with frameworks such as LangChain, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, or similar technologies.\nExperience integrating solutions using Azure OpenAI, Azure AI Foundry, AWS Bedrock, Anthropic, OpenAI APIs, or equivalent AI platforms.\nExperience with vector databases, embeddings, semantic search, knowledge retrieval systems, and AI evaluation frameworks.\nUnderstanding of prompt engineering, model evaluation, AI observability, and performance optimization techniques.\nFamiliarity with emerging AI interoperability standards such as MCP (Model Context Protocol) and agent communication patterns.\nExperience building AI-enabled workflows, intelligent automation solutions, and enterprise AI integrations.\nExposure to Snowflake, Databricks, modern data engineering platforms, and AI/ML infrastructure is highly desirable.\nYour specific salary will be determined based on several factors:\nLocation-based market rate for the role\n\nYour abilities in relation to the job specification\n\nPerformance during screening and interview\n\nPay parity with the wider team in the considered location\n\nFurther details about the package will be provided during the initial screening call with the Talent Acquisition Team.\nClick here to learn about Epiq's Benefits.\nEpiq Leadership Compass\nFosters Relationships & Collaboration\nBuilds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.\nBuild trust-based partnerships\n\nNurture long-term relationships\n\nRemove collaboration barriers\n\nCelebrate cross-team success\n\nEngages & Influences\nInspires action and alignment through clear communication, purposeful influence, and a compelling vision.\nUse storytelling to build buy-in\n\nAlign communication with organizational goals\n\nGuild alignment through strong engagement\n\nMaximizes Performance\nSets and reinforces performance standards that drive results, ensure accountability, and align with Epiq’s goals.\nUse data to identify improvement opportunities\n\nMake informed decisions\n\nAlign team goals with boarder strategy\n\nEmpower teams to manage their own goals\n\nTranslate vision into clear priorities\n\nPrepare for disruptions with strong change management\n\nAchieves Operational Success\nDrives continuous improvement and operational excellence through smart processes, data insights, and quality execution.\nImprove workflows for team efficiency\n\nUse clear documentation and expectations\n\nResolve issues quickly using data and feedback\n\nIt 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.","description_format":"text","description_chars":9551,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Professional Services","Legal Services"],"lifecycle":[{"event":"open","at":"2026-09-28T08:14:44Z"}],"visa":[],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.576,"p_room":0.945,"age_days":4,"expected_fill_days":11,"reasons":["conf:15","stale_co","velocity","win:mid"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/epiq-lead-software-engineer","json_url":"https://alion.io/job/epiq-lead-software-engineer.json","meta":{"generated_at":"2026-10-04T02:39:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3870,"day_limit":5000,"remaining_today":1130,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}