Tech Lead
Tasks
- Apply GenAI security and risk controls
- Apply prompt engineering and structured outputs
- Build LLM-based applications
- Build document ingestion pipelines
- Design and implement RAG systems
- Design and implement scalable low latency Java applications
- Develop distributed services with Spring and APIs
- Evaluate and observe LLM systems
- Implement CI/CD pipelines
- Implement embeddings and vector search
- Implement high-availability techniques
- Implement tool and function calling
- Integrate LLM applications with enterprise tools and systems
- Lead software development
- Mentor and coach junior engineers
- Profile and analyze application performance
- Tune RAG relevance
- Use caching and distributed systems
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Caching | Data leakage | Databases | Distributed Systems | Document ingestion | Embeddings | Evaluation | Function Calling | Gradle | High Availability | In-Memory Computing | In-memory) | JDBC | JSON | JUnit | Java | Jenkins | Kafka | LLM | Maven | MongoDB | Multi-threading | NoSQL | Observability | PII handling | PostgreSQL | Prompt engineering | Prompt injection | RAG | REST APIs | Relevance Tuning | Risk controls | Security Risk | Security Risk Controls | Spring | Spring Batch | Spring Boot | Structured outputs | Tool/function calling | Vector Search | XML
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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