Data Scientist

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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:
• Agent orchestration (supervisor/sub-agent patterns)
• APIs and system integrations
• 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:
• Prompt and context management
• Structured outputs and validation
  
  

Data Engineering for Retrieval-Based Systems

• Design and operate retrieval pipelines to support grounding and context enrichment, including:
• Vector search and similarity retrieval
• Search and indexing solutions
• Object storage for source content and embeddings
• Caching for performance and scalability
  
  

Cloud-Native Delivery

• Deploy and operate services primarily on AWS, following best practices for:
• IAM and security
• Scalability, resiliency, and availability
• 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:
• Translate use cases into technical designs and acceptance criteria
• Communicate trade-offs across quality, cost, risk, and delivery timelines