DEA - AIML - Auto ML
DEA - AIML - Auto ML
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Job Description
Skill set Python langchain Agents Azure AI telemetry Redis Postgres pgvector Prompt Engineering Pytest.
Experience 11 Yrs.
Relevant experience 56 Yrs
Candidate should mention all skill in inside the project with below point.
Direct Experience in Langchain Agent Creation for Query Handling:
Explicit Mention of Vector Embedding with Pgvector:
Kindly share updated resume only.
Screening questions
How does RetrievalAugmented Generation (RAG) enhance LLM performance
RAG supplements LLMs by fetching relevant external information from a vector database improving context accuracy and reducing hallucinations.
What are the key software engineering principles to consider when designing and deploying an Agentic RAG system
Key principles include modular design efficient indexing robust API integration strong data security and thorough testing to ensure scalability performance and reliability.
How do agents in LangChain or similar frameworks decide which tool or action to take when handling complex user queries
Agents use predefined rules decision trees or prompts with LLMs to interpret user intent and select the most appropriate tool (like a search calculator or API call) based on the query context and task requirements.
What factors influence choosing a vector database for an Agentic RAG system
Factors include scalability indexing speed latency support for highdimensional vectors and compatibility with existing LLM frameworks.
How do you optimize prompt engineering for RAGbased systems
Use specific contextual prompts tailored to the retrieved data and implement strategies like chaining prompts and leveraging fewshot learning for enhanced relevance.
What are some challenges in integrating RAG with LLMs for realtime applications
Challenges include latency in retrieval managing vector update frequency maintaining LLM response coherence and balancing computational cost.
How do you ensure data privacy and security when using Vector DBs in RAG setups
Apply encryption for data in transit and at rest implement access control and ensure compliance with data privacy regulations especially with customersensitive data.
Remote Work :
No
Employment Type
Full Time
