onsite
AI Engineer(Python, SQL, and GenAI frameworks ,LLM architecture, RAGs, embeddings, prompt tuning,agentic AI
AI Engineer(Python, SQL, and GenAI frameworks ,LLM architecture, RAGs, embeddings, prompt tuning,agentic AI
This AI Engineer role involves applying agentic AI patterns, building and deploying AI agents, and developing production APIs. Key responsibilities include implementing LLM architecture, developing RAG pipelines, and tuning prompts for LLMs, utilizing embeddings and vector databases.
About the role
Tasks
- Apply agentic AI patterns
- Build and deploy AI agents
- Build production APIs
- Containerize AI workloads
- Deploy models on cloud platforms
- Develop RAG pipelines
- Implement LLM architecture
- Integrate data via REST APIs
- Tune prompts for LLMs
- Use embeddings and vector databases
Skills
AWSAsynchronous programmingAutogenAzureCrewaiDockerEmbeddingsFastapiGCPGoogle APIsGuardrailsLlm ArchitectureLangchainLanggraphMlopsNode.jsPrompt TuningPythonRagRest ApisreactSQLServer Sent Events