GenAI Engineer

Apollo Professional Solutions, Inc.; South San Francisco (CA); On-site; USD 165,000 - 248,000; Full time

Job summary

Apollo Professional Solutions, Inc. seeks a Contract GenAI Engineer to design and implement enterprise-grade AI agents for content intelligence, compliance automation, and audience personalization.

You will translate business use cases into production-ready GenAI solutions, focusing on retrieval, validation, and grounded outputs within an established AI architecture. Hybrid onsite work in the San Francisco Bay Area is preferred, with 1-2 days onsite and 4-6 hours of overlap for Pacific Time,

Qualifications

• Strong software engineering with Python and/or TypeScript in production environments.
• Proven experience building and deploying GenAI agents with tool calling, RAG and grounded outputs.
• Experience integrating AI agents with APIs, content platforms, repositories, and enterprise systems.
• Solid understanding of validation techniques, provenance tracking and AI governance controls.
• Experience designing automated testing and evaluation processes for agent behavior.

Responsibilities

• Insight synthesis and summarization
• Evidence-based content generation
• Audience personalization
• Automated content quality and compliance checks
• Design and implement agent workflows using tool calling, retrieval, grounding, and structured outputs
• Integrate AI agents with enterprise systems and APIs
• Ensure output reliability with validation, citations, provenance tracking, and controls
• Create structured response formats for downstream consumption
• Develop automated tests and evaluation frameworks for agent performance

Skills

Python

TypeScript

GenAI agents

API integration

Validation & governance

Automated testing

Production readiness

Retrieval-Augmented Generation

RAG workflows

Tools

AWS Bedrock

AgentCore

Job description

Contract GenAI Engineer Specialized AI Agents | Content Intelligence | Compliance & Quality Automation Are you passionate about building enterprise-grade AI agents that deliver trustworthy, evidence-based insights? We are seeking a Contract GenAI Engineer to develop specialized Generative AI agents that power content intelligence, insight generation, audience personalization, and automated quality and compliance review processes. In this role, you will work within an established AI architecture, translating defined business use cases into production-ready GenAI solutions. You will design and implement agent logic, integrations, structured outputs, automated testing, and evaluation frameworks that ensure reliable, grounded, and scalable AI experiences. This opportunity is ideal for engineers who enjoy building intelligent systems that combine retrieval, reasoning, validation, and compliance-focused safeguards.

Key Responsibilities

• Insight synthesis and summarization
• Evidence-based content generation
• Audience personalization
• Automated content quality and compliance checks
• Design and implement agent workflows using tool calling, retrieval, grounding, and structured outputs.
• Integrate AI agents with enterprise systems, including APIs, document repositories, content management platforms, and other AI services.
• Ensure output reliability through validation frameworks, citations, provenance tracking, and controls that reduce unsupported or inaccurate responses.
• Create structured response formats that can be consumed consistently by applications and downstream services.
• Develop automated tests and evaluation frameworks to measure agent performance, accuracy, reliability, and failure scenarios.
• Collaborate within an established architecture while independently delivering deployable, production-quality code.

Required Qualifications

• Strong software engineering experience using Python and/or TypeScript in production environments.
• Proven experience building and deploying Generative AI agents with: Tool calling Retrieval-Augmented Generation (RAG) Grounded AI responses Structured output generation
• Experience integrating AI agents with APIs, content platforms, document repositories, and enterprise systems.
• Strong understanding of validation techniques, citation management, provenance tracking, and AI governance controls.
• Experience designing automated testing and evaluation processes for agent behavior, accuracy, reliability, and edge cases.
• Hands-on experience developing GenAI applications with: AWS Amazon Bedrock AgentCore
• Ability to work independently and deliver scalable, production-ready solutions within a defined technical framework.

Preferred Qualifications

• Experience developing solutions for: Insight synthesis Evidence-grounded content generation Audience segmentation and personalization Automated content-quality assessment
• Experience working with regulated content environments, including: Commercial content review Clinical content workflows Promotional claims validation Compliance-focused approval processes
• Familiarity with platforms such as: Veeva Adobe Experience Cloud solutions Regulated content management systems
• Experience building AI solutions that balance innovation, accuracy, compliance, and governance requirements.

Location & Work Arrangement

San Francisco Bay Area candidates preferred, with the ability to work onsite 1-2 days per week. Candidates outside the Bay Area must provide 4-6 hours of daily overlap with Pacific Time business hours.

Why Join This Project?

This is a unique opportunity to help shape advanced Generative AI, AI Agent, Retrieval-Augmented Generation (RAG), Content Intelligence, Compliance Automation, and Enterprise AI capabilities. You'll build production AI systems that generate trusted, evidence-based outputs while supporting some of the most demanding quality and governance requirements in modern enterprise environments.

Keywords: GenAI Engineer, AI Engineer, AI Agent Developer, Python Developer, TypeScript Engineer, Generative AI, RAG Engineer, LLM Applications, AI Testing, AI Governance, Bedrock Engineer, AWS AI, AgentCore, Retrieval Augmented Generation, Prompt Engineering, AI Testing, Enterprise AI, Contract Opportunity.