Role: AI Architect/AI Software Engineer-Python Backend

Role:

AI Architect/AI Software Engineer-Python Backend Location:

2-3 days / week in the client s Irvine office, 1 day in their downtown LA office, 1 day remote

Onsite:

Yes Rate:

$85-90/Hr On C2C 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) 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