Senior Technical Lead Web Development (Java, Node.js, Angular/React.js) (IN)

Forward Deployment Engineer responsible for designing, deploying, and scaling AI-driven enterprise solutions using modern full-stack technologies. The role combines hands-on development (Java, Spring Boot, Angular) with applied AI/ML integration, focusing on rapid solution delivery, productionization of AI models, and close collaboration with business stakeholders in an Agile environment.

AI Solution Deployment & Integration

Design and deploy AI-enabled solutions (LLMs, ML models, intelligent APIs) into enterprise systems

Integrate AI/ML services (Azure AI, OpenAI, or similar) into microservices architecture

Implement prompt engineering, orchestration logic, and AI workflow pipelines for business use cases

Translate business problems into scalable AI-driven solutions in collaboration with stakeholders

Full Stack Engineering

Develop and enhance microservices-based applications using Java and Spring Boot

Build intuitive and responsive UI using Angular, including AI-driven interfaces

Design and implement AI-enabled REST APIs aligned with enterprise integration patterns

Ensure high-performance, scalable, and secure system design

Automation & Engineering Excellence

Develop automated test frameworks covering application and AI workflows (functional + model validation)

Ensure code quality through reviews, static analysis, and automation-first principles

Embed AI-assisted development practices (e.g., code copilots, auto-testing, intelligent debugging)

DevOps & Cloud Deployment

Enable continuous integration and deployment across environments

Deploy and manage applications in cloud-native environments (Azure/Kubernetes)

Implement containerization and scalable deployment strategies for AI services

Stakeholder Engagement & Agile Delivery

Work directly with business teams to rapidly prototype and deploy AI use cases

Participate in Agile ceremonies and deliver high-impact sprint outcomes

Troubleshoot production issues and optimize deployed AI solutions based on usage patterns

Technical Skills Required

Core Engineering

Strong experience in Java, Spring Boot (Microservices Architecture)

Hands-on experience with Angular or modern front-end frameworks

Expertise in building and consuming RESTful APIs

Strong knowledge of SQL Server / relational databases

AI & Data Engineering

Experience integrating AI/ML services (Azure AI, OpenAI APIs, or similar)

Understanding of LLMs, prompt engineering, embeddings, and vector databases

Familiarity with AI orchestration frameworks (LangChain, Semantic Kernel, etc.) – good to have

Exposure to data pipelines and feature engineering concepts

Testing & Automation

Experience with Junit and modern test automation practices

Exposure to API testing and AI workflow validation

Experience in UI automation (Selenium or equivalent)

Understanding of integrating test automation into CI/CD pipelines

CI/CD & MLOps

Hands-on experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions)

Understanding of AI model deployment pipelines and versioning

Familiarity with Docker, Kubernetes, and cloud-native deployments

Strong knowledge of Git and branching strategies

Preferred / Good to Have

Experience in large-scale enterprise transformations or government programs

Familiarity with data governance, AI ethics, and responsible AI practices

Other Requirements

Soft Skills

Strong communication skills with ability to bridge business and technical teams

Experience working in distributed teams (IST/EST collaboration)

Strong ownership mindset with focus on outcome-driven delivery

Adaptability to evolving AI landscape and business priorities

Ability to work in high-impact, fast-paced deployment environments