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Genesis Global Workforce Solutions seeks an AI Solutions Developer to design, build, and deploy AI-powered internal tools and workflow automations. You will integrate multiple SaaS platforms, create data pipelines, and ship production-ready automations for sales, operations, and ad tech teams.
The role emphasizes rapid prototyping, stakeholder collaboration, and clear documentation. Ideal candidates combine software skills with applied AI, prompt design, and a bias for delivering practical,
The AI Solutions Developer is a hands-on technical builder who designs, develops, and deploys AI-powered tools, workflow automations, system integrations, and reporting solutions that create measurable business value across Our Client. Working within Digital Ad Operations and collaborating cross-functionally across teams, this role translates business challenges into practical AI-driven solutions — from rapid prototypes to production-ready internal tools. The ideal candidate combines software development skills, applied AI and prompt engineering expertise, systems integration experience, and a bias for shipping useful solutions that teams actually adopt.
· Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field. Equivalent practical experience will also be considered.
· 3-6 years of experience in software development, automation engineering, systems integration, or applied AI roles.
· Strong proficiency in Python for scripting, automation, API integration, and data manipulation.
· Experience working with SQL and cloud data platforms (e.g., Snowflake, PostgreSQL, SQL Server) for querying, data analysis, and reporting.
· Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) including prompt design, structured output parsing, and integration into applications.
· Experience building and consuming RESTful APIs and integrating multiple SaaS platforms or enterprise systems.
· Demonstrated ability to translate business requirements from non-technical stakeholders into working technical solutions.
· Experience with workflow automation tools or platforms (e.g., Power Automate, Zapier, n8n, Make, or custom scripted automation).
· Strong problem-solving and troubleshooting skills with a track record of identifying inefficiencies and building practical solutions.
· Excellent written and verbal communication skills, including the ability to create clear documentation, user guides, and technical specifications.
· Ability to work in a fast-paced environment and manage multiple projects simultaneously.
· Familiarity with digital marketing/advertising tools and platforms, such as Google Ad Manager, Salesforce, LiveRamp, StackAdapt, or similar.
· Experience building AI agents or agentic workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Microsoft Copilot Studio.
· Experience with RAG (Retrieval-Augmented Generation) architectures, vector databases, or knowledge base development.
· Familiarity with data visualization tools (e.g., Sigma, Tableau, Power BI, Looker, or custom dashboard development).
· Experience in the digital media, publishing, advertising, or marketing technology industry.
· Experience with cloud platforms (AWS, Azure, or Google Cloud) for deploying applications or managing AI workloads.
· Experience with Microsoft 365 ecosystem including Power Automate, Copilot Studio, SharePoint, and Teams integrations.
· Experience with version control (Git) and CI/CD practices.
· Interest in or experience with AI-assisted development tools (GitHub Copilot, Claude Code, Cursor, or similar).
The duties listed are intended as examples only and may not represent a complete list. Duties and Responsibilities, work schedules and/or location may change based on evolving business needs.
· Design, build, and deploy AI-powered internal tools and workflow automations that improve productivity, reduce manual effort, and accelerate business operations across Client.
· Develop AI agents and agentic workflows using LLMs (e.g., OpenAI, Anthropic Claude, Microsoft Copilot) to automate multi-step business processes in sales, operations, audience management, and ad operations.
· Build and maintain system integrations connecting Client's technology platforms (Snowflake, Salesforce, GAM, LiveRamp, StackAdapt, BlueConic, Microsoft 365) via APIs, webhooks, and data pipelines.
· Create and optimize prompt engineering strategies, prompt libraries, and reusable prompt templates tailored to Client's business use cases.
· Develop dashboards, reports, and data visualization tools that give business teams faster access to revenue, audience, campaign performance, and operational data.
· Partner directly with business stakeholders across sales, ad operations, audience, analytics, and editorial to identify automation opportunities, gather requirements, and translate business needs into technical solutions.
· Rapidly prototype AI-powered solutions and iterate based on stakeholder feedback, then harden successful prototypes into reliable, production-ready tools.
· Write clean, well-documented Python scripts, SQL queries, and automation code following engineering best practices (version control, testing, documentation).
· Integrate AI capabilities into existing Microsoft 365 workflows using tools like Power Automate, Copilot Studio, and SharePoint to enable non-technical teams to benefit from AI.
· Build and curate knowledge bases, RAG (Retrieval-Augmented Generation) pipelines, and document repositories that AI agents use to deliver accurate, context-aware responses.
· Monitor, evaluate, and continuously improve deployed automations and AI tools based on usage data, stakeholder feedback, and business impact metrics.
· Compile and analyze data, processes, and code to troubleshoot problems and identify areas for automation, efficiency improvements, and overall operational enhancement.
· Document technical architectures, solution designs, automation playbooks, and user guides to facilitate knowledge sharing and smooth project execution.
· Stay current with emerging AI tools, automation platforms, and industry best practices, and proactively recommend new solutions that could benefit Our Client.
· Provide technical support, training, and troubleshooting assistance to the Digital Ad Operations team and other stakeholders when necessary.
The Company is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, gender, gender identity or expression, genetic information, national origin, age, disability, sexual orientation, marital status or any other category protected under federal, state or local law.
Our Client does not provide sponsorship for work visas or employment authorization in the United States. Only candidates who are legally authorized to work in the U.S. will be considered for this position.