3 - 5 years
Posted:1 week ago
ROLE OVERVIEW
Full Stack Engineers with AI skills to design develop and deploy full stack applications applying Claude AI and GenAI tools to accelerate engineering workflows across the entire SDLC from requirements and design through to deployment and monitoring
KEY RESPONSIBILITIES
Quick learner and able to adapt quickly
Able to understand code and system design deeply with varying languages java python js
Able to review code and understand system design at scale may PR and substantial code review on regular basis
Expertise in AISDLC frameworks like BMAD GSD SPECKIT etc
Design and deliver end to end web applications UI through API through database integrating AI features
Build scalable production grade RESTful APIs using Python
Develop responsive high performance front end applications using Angular 16 or equivalent modern frameworks
Integrate AI ML capabilities Open AI Azure AI Claude Anthropic AWS AI via APIs into product features
Use Claude AI to accelerate SDLC tasks code generation code review debugging refactoring and technical
documentation
Apply prompt engineering techniques to craft effective prompts that boost development productivity and quality
Work closely with AI Architects QEs and BAs within Agile squads to deliver sprint commitments
Write clean secure testable code aligned with architectural standards and coding guidelines
Participate in code reviews design discussions and Agile ceremonies
Support cross platform optimization performance tuning and scalability improvements
Integrate asynchronous messaging and event driven architectures Kafka RabbitMQ where required
Deploy and manage applications using Docker and Kubernetes
TECHNICAL SKILLS
Full stack development experience of 3 to 5 years for proficient and 6 to 8 years of experience for specialist
AISDLC frameworks like BMAD GSD SPECKIT etc
Backend Java Python JS clean API design versioning auth error handling observability
Front end Angular 16 preferred or equivalent modern framework responsive high performance UIs
Databases SQL and NoSQL schema design indexing query optimization
APIs RESTful design patterns experience with WebSockets or real time communication preferred
Infrastructure Docker Kubernetes deployment scaling container orchestration
Messaging Kafka RabbitMQ or similar asynchronous processing systems
Proficient in using Claude AI Anthropic Claude Sonnet Haiku for day today engineering tasks
Prompt engineering ability to craft iterate and optimize prompts for code generation explanation review and test
creation
AI integration experience calling LLM APIs Claude Open AI Azure Open AI AWS Bedrock from application code
Understanding of LLM concepts context windows token limits embeddings RAG basics latency and cost tradeoffs
Use of AI tools Claude GitHub Copilot or equivalent to measurably reduce development cycle time
Collaborative development with data scientists ML engineers to productionize AI components
Mandatory Skills : Angular, Java, JavaScript, Microservices, Python, claude code
Good to Have Skills : AI-assisted development & coding, Application Security (application security framework/ threat modelling/ Secure SDLC/ DevSecOps/Application Security Architecture Review), Architecture Patterns and Styles, Claude Code, Cloud AI Design Assistance, Design Patterns, SDLC, Secure design & app security, Software Engineering and Design Architecture, SpringBoot, TypeScript
Free courses, interview questions and practice for each skill.
Internship
LTM Limited
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