The role involves building AI search agents, creating RAG pipelines, optimizing vector search technologies, and automating evaluation processes.
Job Responsibilities
1. Building AI search agents- including ReAct, planning, and multi-agent architectures via custom implementation or frameworks like LangGraph, Dify, or CrewAI.
2. Building end-to-end RAG pipelines from ingestion, chunking, embeddings, and hybrid vector search, ideally using Opensearch.
3. Operating and monitoring vector/hybrid indexes (e.g. OpenSearch) in production environments.
4. Implement grounding and citation to link generated answers back to their exact source passages.
5. Automate evaluation using synthetic QA, retrieval-hit-rate tracking, and model-critique loops to continuously measure accuracy and detect drift.
6. Orchestrating external tools or knowledge bases and monitoring latency and cost at production scale.
Qualifications
1. Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
2. 3+ years of experience in developing AI systems, with a focus on retrieval-augmented generation (RAG).
3. Proven track record in building and optimizing end-to-end RAG pipelines.
4. Experience with AI search agent development using frameworks like ReAct, LangGraph, Dify, or CrewAI.
5. Hands-on experience with OpenSearch or similar vector search technologies.
6. Proficiency in Python and relevant machine learning frameworks (e.g., PyTorch, TensorFlow).
7. Strong understanding of data ingestion, chunking, embeddings, and hybrid vector search techniques.
8. Experience with monitoring and managing production environments.
9. Knowledge of grounding and citation techniques in AI-generated content.
10. Familiarity with synthetic QA datasets and evaluation metrics.
Top Skills
Crewai
Dify
Langgraph
Opensearch
Python
PyTorch
TensorFlow
Similar Jobs
Productivity • Software • App development • Automation
Develop features for the Xodo platform, engage in all aspects of development, collaborate with other engineers, and research new projects.
Top Skills:
AWSDockerJavaScriptMySQLNext.JsPostgresReactTypescript
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
The SDET will develop and maintain automated tests in a microservices architecture, ensuring quality through collaboration and adherence to best practices.
Top Skills:
AWSAzureC#CypressDockerGCPJavaJavaScriptJmeterK6KubernetesPythonRubySeleniumSQL ServerTypescript
Cloud • Security • Software • Cybersecurity • Automation
As a Deal Desk Analyst, you'll support Sales in structuring, quoting, and booking deals, ensuring accurate deal intent in Salesforce and working with finance for seamless revenue processes.
Top Skills:
Cpq ToolsExcelGoogle SheetsSalesforceZuora
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.


.png)
