What are the responsibilities and job description for the Data Scientist position at Cardinal Integrated Technologies Inc?
Hi,
Role: Data Scientist
Duration: 6-12 Months Contract
Location California (2-3 days/week in the client's Irvine, CA office, 1 day in their downtown LA, CA office, 1 day Remote)
Must Have Skills
- Skill 1 Data Science with AI/ML focus
- Skill 2 Agent-based / agent-oriented workflow development
- Skill 3 API development and system integration
- Skill 4 LLM-enabled application development (prompt & context management, structured outputs)
- Skill 5 Retrieval-based systems (vector search, indexing, embeddings)
- Skill 6 AWS cloud-native development
- Skill 7 CI/CD and environment management
- Skill 8 Observability (logging, metrics, tracing)
Domain Experience (If any)
AI-enabled enterprise workflows, agent-based systems, retrieval-augmented applications
Client Job Description: Context & Objective
We are engaging a software engineer to support the design and delivery of agent-based, AI-enabled workflows that integrate with enterprise systems. The contractor will work closely with internal teams and business stakeholders to translate use cases into robust, scalable solutions.
Backend & Agent-Oriented Engineering
- Build and maintain Python-based backend services supporting:
o Agent orchestration (supervisor/sub-agent patterns)
o APIs and system integrations
o Multi-step, asynchronous workflows
- Apply strong engineering practices (testing, code quality, error handling).
AI / LLM-Enabled Application Development
- Deliver LLM-enabled features end to end, including:
o Prompt and context management
o Structured outputs and validation
Data Engineering for Retrieval-Based Systems
- Design and operate retrieval pipelines to support grounding and context enrichment, including:
o Vector search and similarity retrieval
o Search and indexing solutions
o Object storage for source content and embeddings
o Caching for performance and scalability
Cloud-Native Delivery
- Deploy and operate services primarily on AWS, following best practices for:
o IAM and security
o Scalability, resiliency, and availability
o CI/CD and environment management
Integration & UX Enablement
- Integrate with enterprise tools and services via secure APIs and gateways.
- Support React-based front-end patterns and collaboration integrations to enable effective user experiences.
Observability & Operations
- Implement logging, metrics, and tracing across agent workflows, model calls, and integrations.
- Support incident diagnosis, performance tuning, and ongoing optimisation.
Working with the Business
- Engage directly with business stakeholders to:
o Translate use cases into technical designs and acceptance criteria
o Communicate trade-offs across quality, cost, risk, and delivery timelines