AI Engineer

AI Developer
Position Details
Position Title: AI Developer
Location: O'Fallon, Missouri (Hybrid)
Company: Milestone Marketing Solutions
Work Schedule: Hybrid, 4 days in office and 1 day remote following the successful completion of the probationary period
Employment Status: Salaried, Exempt
Reports To: EVP, Data Operations
Compensation: $110,000 to $150,000 annually, based on experience

Company Overview
Milestone Marketing Solutions, an affiliate of Automotive Product Consultants, provides call centers with the marketing resources and consumer engagement solutions needed to excel in a competitive marketplace. For over a decade, we have partnered with industry leaders while continuously innovating to stay ahead of evolving market trends and consumer behaviors.

Position Summary
The AI Developer will lead the design, development, and implementation of artificial intelligence solutions across Milestone Marketing Solutions and its affiliated businesses. This role combines applied AI engineering with developer enablement, focusing on creating intelligent business solutions, improving operational efficiency, and accelerating software development through AI driven tools and workflows.
The ideal candidate will have hands on experience with large language models (LLMs), AI integrations, agentic workflows, and modern software development practices. This individual will play a key role in shaping the company's AI strategy while delivering measurable business impact.

Key Responsibilities
1. AI Solution Design and Implementation
• Identify, prioritize, and develop AI powered solutions across the organization, including intelligent automation, predictive analytics, natural language interfaces, recommendation engines, and lead scoring systems.
• Design, build, and deploy AI driven applications such as conversational assistants, automated data classification systems, anomaly detection tools, and intelligent search capabilities.
• Integrate and manage large language model APIs, including Anthropic Claude, OpenAI, and Google Gemini.
• Develop and maintain prompt engineering strategies, Retrieval Augmented Generation (RAG) architectures, and model fine tuning initiatives when appropriate.
• Create, deploy, and manage agentic AI workflows and autonomous AI agents.
• Ensure AI solutions are accurate, scalable, secure, and compliant with applicable data privacy requirements.
2. Developer Productivity and AI Enablement
• Drive adoption of AI assisted development tools such as Claude Code and GitHub Copilot.
• Establish best practices, governance, and training programs for effective AI tool usage throughout the software development lifecycle.
• Build internal AI solutions that improve code generation, testing, bug triage, documentation, and development workflows.
• Measure and report on developer productivity improvements through metrics such as cycle time, code review efficiency, deployment frequency, and defect rates.
• Serve as a subject matter expert and mentor for AI assisted development practices.
3. AI Strategy and Innovation
• Partner with executive leadership, product teams, and engineering stakeholders to define and execute the company's AI roadmap.
• Research and evaluate emerging AI technologies, platforms, and vendors.
• Recommend build versus buy strategies for AI capabilities, including considerations for self hosted models and third party services.
• Identify opportunities for AI driven growth, efficiency, and competitive advantage.
4. Data and Model Operations
• Develop and oversee data pipelines that support AI solutions, including data preparation, labeling, embedding generation, and vector database management.
• Monitor model and application performance in production environments.
• Continuously improve AI solutions based on user feedback, business outcomes, and performance metrics.
• Manage AI platform usage, API consumption, and associated costs.
5. Security, Compliance, and Responsible AI
• Ensure AI solutions handle customer and company data responsibly and in accordance with privacy and security requirements.
• Implement safeguards to reduce hallucinations, bias, inappropriate outputs, and misuse of AI systems.
• Promote responsible AI practices across all products and internal applications.
6. Collaboration and Communication
• Work closely with software developers, product managers, business stakeholders, and QA teams to integrate AI capabilities into existing platforms and workflows.
• Provide training, mentorship, and ongoing support for AI adoption across technical teams.
• Communicate AI initiatives, timelines, opportunities, risks, and outcomes to executive leadership.

Education and Experience
• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience.
• Proven experience integrating AI and LLM capabilities into production software applications.
• Strong experience with LLM platforms such as Anthropic Claude, OpenAI, and Google Gemini.
• Hands on experience with prompt engineering, Retrieval Augmented Generation (RAG), and agentic AI workflows.
• Experience driving adoption of AI development tools including GitHub Copilot, Claude Code, or similar platforms.
• Strong proficiency in Python and/or .NET (C#).
• Experience working with SQL Server and SQL Server Management Studio (SSMS).
• Familiarity with vector databases and embedding technologies such as Pinecone and pgvector.
• Experience with cloud based AI services such as AWS Bedrock, SageMaker, Azure AI, or similar platforms is preferred.
• Experience with CRM systems and business operations workflows is a plus.
• Experience with conversational AI, voice AI, telephony systems, contact centers, or platforms such as Twilio and Amazon Connect is a plus.
• Experience building AI driven sales, customer engagement, pricing, or quoting solutions is a plus.

Required Skills and Abilities
• Ability to translate business objectives into practical, scalable AI solutions.
• Strong communication skills with the ability to explain complex AI concepts to both technical and non technical audiences.
• Proven ability to lead cross functional initiatives and work independently.
• Demonstrated commitment to continuous learning and staying current with emerging AI technologies.
• Strong analytical and problem solving skills.
• Ability to evaluate and improve business processes through automation and AI augmentation.
• Experience measuring and reporting the business impact, adoption, and effectiveness of AI solutions using data driven methodologies.
Why Join Milestone Marketing Solutions?
• Opportunity to shape and lead AI innovation across a growing organization.
• Direct influence on company strategy, technology transformation, and operational efficiency.
• Work with modern AI technologies, tools, and platforms.
• Collaborative and entrepreneurial environment with significant opportunities for growth and impact.