Position: AI-Enabled Full Stack Consultant / Client Solutions Engineer

Location: Mumbai, India

Contract Duration: 6 months

About LRN:

LRN is the world’s leading dedicated ethics and compliance SaaS company, helping more than 30 million people every year navigate complex regional and global regulatory environments and build ethical, responsible cultures. With over 3,000 clients across the US, EMEA, APAC, and Latin America—including some of the world’s most respected and successful brands—we’re proud to be the long-term partner trusted to reduce organizational risk and drive principled performance.

Named one of Inc Magazine’s 5000 Fastest-Growing Companies, LRN is redefining how organizations turn values into action. Our state-of-the-art platform combines intuitive design, mobile accessibility, robust analytics, and industry benchmarking—enabling organizations to create, manage, deliver, and audit ethics and compliance programs with confidence. Backed by a unique blend of technology, education, and expert advisement, LRN helps companies turn their values into real-world behaviors and leadership practices that deliver lasting competitive advantage.

About the role:

We are looking for an AI-Enabled Full Stack Consultant / Client Solutions Engineer who can lead client-facing discussions, understand business needs, and translate them into practical web application and dashboard solutions. This role requires a balanced mix of consulting, software development, data analytics, testing, and AI-assisted delivery capabilities.

The ideal candidate should be comfortable working directly with clients and internal stakeholders, using modern AI-powered development tools to accelerate solution design, development, testing, and delivery of high-quality digital products.

Requirements

What you'll do:

• Lead client workshops, discovery sessions, and requirements gathering discussions.
• Translate business requirements into web application and dashboard solutions.
• Design, develop, and maintain modern web applications using AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude, Cursor, and similar technologies.
• Build client health and business performance dashboards that provide actionable insights.
• Integrate and analyse data from multiple systems and sources.
• Define and implement key business metrics, KPIs, data visualisations, and reporting solutions.
• Perform functional, integration, regression, and user acceptance testing.
• Troubleshoot production and application issues while ensuring solution reliability and performance.
• Collaborate with clients, business stakeholders, developers, and data teams throughout the delivery lifecycle.
• Drive projects independently from requirement gathering through delivery and support..

What we're looking for:

• 5+ years of experience in web application development and solution delivery.
• Strong proficiency in JavaScript/TypeScript and modern frameworks such as React, Angular, or similar technologies.
• Hands-on experience using AI-powered development tools and prompt engineering techniques.
• Strong understanding of SQL, data modelling, analytics, ETL processes, and reporting concepts.
• Experience building dashboards using Power BI, Tableau, Looker, or custom web-based reporting solutions.
• Knowledge of software testing methodologies, test planning, and test automation.
• Excellent verbal and written communication skills.
• Strong stakeholder management and client-facing experience.
• Ability to independently own solution design, development, testing, and delivery.
• Experience working in SaaS or enterprise software environments.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with data APIs, data warehousing, and business intelligence platforms.
• Exposure to Agile, Kanban, AI Flow, or modern AI-assisted software development methodologies.
• Basic understanding of machine learning, AI agents, or GenAI-based solutions

Benefits

LRN is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees