Full-Stack Developer (AI Platforms & Workflow Automation)
Role details
Job location
Tech stack
Job description
We are seeking a Senior Software Engineer to build the application, integration, and workflow layer that powers our AI, Data Science, and Analytics solutions at Fortune 100 scale. This role sits at the intersection of fullstack engineering, workflow automation, and AI integration, working closely with AI Engineers, Data Scientists, Data Engineers, and Program Managers. You will design and develop APIs, services, and user experiences that operationalize models and analytics, integrate with CRMs and enterprise systems, and automate complex business workflows. The ideal candidate is a strong .NET and React engineer who is comfortable with databases, Python, orchestration tools, and modern UX design in an AIenabled environment., Design, build, and maintain secure, scalable APIs and microservices (primarily in .NET) that expose AI, data science, and analytics capabilities to applications and end users. * Implement robust integration patterns for connecting to internal systems (CRMs, data platforms, identity providers) and external services.
Fullstack & UX development * Develop responsive frontend applications in React (preferably TypeScript) that deliver intuitive, highperforming user experiences for Sales, Retention, and Call Center users. * Collaborate with stakeholders and designers on UX flows, wireframes, and interaction patterns; translate them into productionready UI components.
Workflow automation & SharePoint solutions * Build and maintain workflow automation solutions using orchestrators and workflow tools (e.g., Power Automate, Logic Apps, or similar) to automate repetitive tasks and data flows. * Design and develop SharePointbased applications, portals, and integrations that support collaboration and operational workflows.
Database & stored procedure development * Design and optimize relational database schemas, stored procedures, and queries to support application and reporting needs (e.g., SQL Server, Redshift, or similar). * Partner with Data Engineers to ensure consistency between application data models and analytical data models.
AI & CRM integration * Integrate with AI/ML services and platforms (e.g., model APIs, LLM endpoints, RAG services) to embed intelligence into applications and workflows. * Implement robust integrations with CRM systems (e.g., Salesforce, Dynamics, or equivalent), ensuring data integrity, performance, and security.
Automation & orchestration * Use orchestration tools to automate data flows, scheduled jobs, and crosssystem workflows; implement monitoring, logging, and alerting for reliability. * Collaborate with AI/Data Engineering teams to align application workflows with data and model pipelines.
Engineering best practices & collaboration * Apply software engineering best practices: code reviews, unit/integration testing, CI/CD, version control, and documentation. * Work closely with AI Engineers, Data Scientists, Data Engineers, and Program Managers to translate requirements into technical designs and highquality implementations., Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands. * Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path. * E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills. * Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.
Requirements
Bachelor s degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
Experience * 8+ years of professional software engineering experience building production applications and services. * Significant experience working in or alongside data, analytics, or AI/ML teams in a large enterprise environment.
Technical skills: Backend & APIs
Strong experience with .NET / C# (e.g., ASP.NET Core, Web API) building RESTful APIs and services. * Experience with authentication/authorization patterns (OAuth2/OpenID Connect) and secure API design.
Frontend & UX
Proficiency in React (TypeScript preferred) and modern frontend development practices (componentization, state management, testing). * Demonstrated ability to implement clean, userfriendly interfaces and workflows; familiarity with UX principles and design systems.
Database & stored procedures
Strong SQL skills and experience with stored procedure and database development (e.g., SQL Server, Postgres, Redshift). * Experience designing schemas, indexes, and queries for performance and scalability.
Workflow & automation * Proven experience using orchestrators/workflow tools (e.g., Power Automate, Logic Apps, Airflow, or similar) to automate repetitive tasks and crosssystem workflows. * Implemented monitoring, logging, and alerting for workflows and background jobs.
SharePoint & collaboration solutions * Experience developing solutions on SharePoint (e.g., SPFx, custom web parts, integrations) to support business processes.
Python & AI integration * Working knowledge of Python for scripting, integrations, and working with AI/ML APIs. * Experience integrating with AI/ML platforms (model endpoints, LLM APIs, or similar) and handling their inputs/outputs in applications.
Cloud & cost awareness
Handson experience with cloud platforms (AWS preferred) for application hosting, APIs, and databases. * Familiarity with performance tuning and basic cost optimization considerations (e.g., rightsizing services, efficient data access).
Mindset & collaboration
Strong ownership mentality; accountable for reliability, performance, and usability of the solutions you build. * Excellent collaboration skills; able to translate between engineering, AI/data teams, and business stakeholders. * Comfortable working in a fastmoving environment with evolving requirements and high visibility.
Experience in large, complex enterprises (Fortune 100 or similar), especially in Sales, Retention, or Call Center environments. * Experience leveraging AIassisted development tools (e.g., GitHub Copilot, CodeWhisperer) to improve engineering productivity.
Preferred Qualifications * Experience with CI/CD pipelines, infrastructureascode, and DevOps practices. * Familiarity with analytics/BI tools and how applications feed or consume analytical content., If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!