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
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Director, Oncology Early-Stage Clinical Scientist leads clinical research studies in oncology, focusing on the scientific execution and strategic planning of early clinical development for novel drugs.
Top Skills:
JreviewSocs-ProSpotfire
6 Hours Ago
Easy Apply
Easy Apply
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
In this role, you will drive lead generation through cold calling, map enterprise accounts, and support the go-to-market strategy while seeking a career in SaaS sales.
Top Skills:
IotSaaS
6 Hours Ago
Easy Apply
Easy Apply
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The role involves making 30-50 cold calls daily to generate leads for enterprise accounts in a SaaS environment, focusing on technology sales skills and career advancement within the company.
Top Skills:
IotSaaS
What you need to know about the Ottawa Tech Scene
The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.
