Senior AI Software Engineer (Agentic AI) (contract)

About the role

In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Specialty Software Engineering. Review and analyze complex multi-faceted, larger scale, or longer-term Specialty Software Engineering challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Location: San Francisco, CA. Duration: 3 months. Work Engagement: W2.

Responsibilities

• Build and Enhance AI Agents: Develop, deploy, and maintain Agentic AI solutions; Create AI agents that automate and orchestrate marketing campaign activities; Support the scaling of the platform from the current agents to a larger enterprise ecosystem.
• Develop Backend Services in Python: Design and build Python-based backend applications and microservices; Write high-quality, production-ready, scalable code; Implement asynchronous and distributed processing solutions.
• Design and Integrate APIs: Develop REST APIs and service integrations; Enable communication between AI agents and enterprise systems; Support API performance, reliability, and security.
• Implement LLM and Generative AI Solutions: Build applications powered by Large Language Models (LLMs); Develop Agentic AI workflows and multi-agent systems; Create and optimize prompts, tool-calling, and model orchestration strategies.
• Develop RAG and Knowledge Retrieval Systems: Build Retrieval-Augmented Generation (RAG) solutions; Implement semantic search using embeddings and vector databases; Design hybrid and knowledge graph-enhanced retrieval architectures.
• Optimize Performance and Scalability: Improve application performance through profiling and tuning; Implement caching and database optimization strategies; Design highly available and fault-tolerant systems.
• Manage Data and Database Solutions: Work with MongoDB and vector databases; Design efficient data retrieval and storage patterns; Support embedding pipelines and semantic retrieval capabilities.
• Apply AI Governance and Responsible AI Practices: Implement AI guardrails and monitoring solutions; Support audit logging, model usage tracking, and compliance requirements; Help reduce hallucinations and improve AI response quality; Implement controls such as PII redaction and human-in-the-loop validation.
• Collaborate with Engineering Teams: Participate in daily standups and technical discussions; Work closely with developers and architects on solution design; Communicate technical blockers, risks, and dependencies; Provide support for production AI systems.
• Continuously Improve AI Solutions: Evaluate model performance and accuracy; Optimize latency, cost, and user experience; Contribute to feedback loops that improve AI agent effectiveness over time.

Requirements

• Specialty Software Engineering experience, or equivalent demonstrated through work or consulting experience, training, military experience, education.
• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
• Python: 5+ years
• Microservices: 5+ years
• API Development/Integration: 5+ years
• MongoDB: 5+ years
• Agentic AI: 2+ years preferred

Benefits

• Health Insurance
• Life insurance
• 401K
• Voluntary Benefits

Pay

$110-$128/hr

Schedule

Hybrid: 3 days in office, 2 days remote