Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Best Practices, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Environmental Management, Metrics, Performance Tuning/Optimization, Python Programming/Scripting Language, Risk, Software Administration, Software Development, Software Engineering, System Integration (SI), Team Player, Technical/Engineering Design, Use Cases, User Interface/Experience (UI/UX), Vector Based
Role: Software Engineer(22484-1)
Duration: 6-12+ Months Contract
Location 2-3 days / week in the client's Irvine, CA office, 1 day in their downtown LA,CA office, 1 day remote...
Onsite Requirement Yes
Number of days onsite 4 days
Must Have Skills
" Skill 1 Python backend development
" 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.
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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
C
Cardinal Integrated Technologies Inc