Role AI ArchitectAI Software Engineer-Python Backend

Role: AI Architect/AI Software Engineer-Python Backend

Location: 2-3 days / week in the clients 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

Required Skills:

PythonAgent-based ModelingAPI DevelopmentLLMRAGAWSObervability