Senior Technical Lead Web Development (Java, Node.js, Angular/React.js)
Noida · Staff/Principal
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Job description
Job Summary
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.
Key Responsibilities
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
Skill Requirements
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
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
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