AI Developer

Location: The Woodlands, TX
Schedule: Hybrid (3 days onsite / 2 remote)
Compensation: $115,000–$135,000 base salary 

About the Opportunity

Our client, an innovative and growing organization in the energy industry, is seeking an AI Developer to help design and implement next-generation AI solutions that improve business operations and decision-making across the enterprise.

This is an opportunity to work on cutting-edge AI initiatives involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI, and enterprise system integrations. You'll collaborate with business leaders, software engineers, and data professionals to build intelligent applications that deliver measurable business value.

If you're passionate about applied AI and enjoy building production-ready solutions, this is an excellent opportunity to make a significant impact.

Why This Opportunity?

• Hybrid work schedule (3 days onsite / 2 remote)
• Competitive compensation and outstanding benefits
• Fully paid family medical benefits
• 401(k) and employee stock purchase program
• Monthly family meal reimbursement
• Cell phone and fitness reimbursement
• Opportunity to work directly with highly technical executive leadership
• Exposure to enterprise AI initiatives using the latest technologies
• Collaborative culture with significant autonomy and career growth opportunities

Key Responsibilities

• Design, develop, and deploy enterprise AI applications using Large Language Models (LLMs).
• Build prompt-based AI solutions that automate business workflows and improve operational efficiency.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines and multi-agent AI architectures.
• Develop and maintain API-driven microservices that expose AI capabilities across enterprise applications.
• Integrate AI solutions with business systems supporting operations, knowledge management, and transactional workflows.
• Collaborate with business stakeholders to understand requirements and translate them into scalable AI solutions.
• Assist in developing and curating datasets for model improvement and fine-tuning.
• Optimize prompts, embeddings, and AI workflows to improve response quality and reduce hallucinations.
• Work closely with software developers, data engineers, and business teams to deliver production-ready solutions.
• Document architectures, APIs, and development standards while following security and governance best practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field (or equivalent professional experience).
• 3+ years of experience developing AI/ML applications, enterprise software, or distributed systems.
• Experience working with Large Language Models (LLMs) and prompt engineering.
• Understanding of Retrieval-Augmented Generation (RAG) concepts and vector embeddings.
• Experience building RESTful APIs and microservices.
• Strong programming skills in Python and/or C#, with experience developing scalable applications.
• Experience integrating AI solutions into enterprise environments.
• Strong analytical, troubleshooting, and problem-solving abilities.
• Excellent communication skills and the ability to collaborate with both technical and business teams.

Preferred Qualifications

• Experience with agentic AI frameworks and multi-agent orchestration.
• Experience with OpenAI, Anthropic Claude, Azure OpenAI, or similar enterprise AI platforms.
• Familiarity with vector databases and semantic search technologies.
• Experience deploying AI applications in cloud environments such as Azure or AWS.
• Knowledge of containerization technologies such as Docker and Kubernetes.
• AI/ML, cloud, or data engineering certifications are a plus.
• GitHub portfolio or personal AI projects are highly encouraged.

Interview Process

• Virtual interview with the hiring manager
• Final onsite interview with the technology team and executive leadership

If you're excited about building real-world AI solutions that drive business transformation, we'd love to hear from you.