Senior AI Software Engineer (Agentic AI)

About the role

Description

Title:Senior AI Software Engineer (Agentic AI)

Location: San Francisco, CA

Duration: 3 months

Work Engagement: W2

Work Schedule: Hybrid 3 days in office/2 days remote

Compensation: $110-$128/hr is the pay range that the employer reasonably expects to pay for this position

Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits

Summary:

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. Required Qualifications: Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

Key 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.

Key Requirements:

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