AI Full Stack Engineering Lead
USD 122K-200K (estimate) Senior-level Full Time
Tasks
- Build and maintain backend services using Java and Python
- Design and implement scalable microservices architectures
- Drive code quality testing and code reviews
- Drive observability using logging monitoring and alerting
- Ensure alignment with security compliance and enterprise architecture standards
- Implement AI powered solutions with LLMs RAG and agents
- Implement CI CD pipelines and production support readiness
- Integrate AI capabilities into enterprise systems via APIs and microservices
- Lead end to end delivery of AI and non AI solutions
- Own planning execution testing and production rollout
- Provide technical guidance conduct design reviews and mentor engineers
- Translate business requirements into technical designs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Orchestration | Agile | Alerting | Architecture Diagrams | Azure | CI/CD | Code review | Data Engineering | Data Pipelines | Distributed Systems | Docker | Embeddings | Event Driven | Event-driven architecture | FastAPI | Feature Engineering | GCP | Hugging Face | JUnit | Java | Kubernetes | Langchain | Language Models | Large Language Models | Logging | MLOps | Machine Learning | Microservices | Mockito | Model Monitoring | Monitoring | OpenAI | Prompt engineering | Python | REST API | Retrieval-Augmented Generation | Security Compliance | Spring Boot | System design | Vector Databases
Education
N/A
Regions
Countries
States
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