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.

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