Senior Software Engineer-AI Enabled Development

Valor is the leader in mineral management, oil and gas accounting and oil and gas consulting. The company was built by multi-generational mineral owners and experienced mineral managers to bring peace of mind to mineral and royalty owners. Valor utilizes its proprietary best-in-class mineral management software, mineral.tech, to efficiently and effectively manage minerals and royalties for our clients. Valor is headquartered in Fort Worth, Texas. We provide solutions for owners of oil and gas assets which include comprehensive land and mineral rights management solutions, oil and gas accounting, digital filing, division order processing, and other oil and gas related back-office solutions that can be tailored to your specific needs.Location: Fort Worth, TexasAbout the CompanyValor is a fast-growing innovation company headquartered in Fort Worth, TX. We are a leader in oil and gas outsourcing, accounting, business strategy, and consulting for the energy industry and have developed a best-in-class mineral management software, mineral.tech, to efficiently and effectively manage minerals and royalties for our clients.The OpportunityWe're seeking a Senior Software Engineer with strong full-stack expertise and hands-on experience utilizing AI agents in the development of modern SaaS products. You'll lead the technical direction for multiple applications — with primary focus on our core SaaS platform. This is a builder + leader role: you'll write critical code, architect scalable systems, utilize AI agents for feature development, and deliver fast and reliably.You will define the plan for complex business problems and manage those projects to completion. You should be opinionated about best practices but flexible enough to work with senior leadership to meet business goals. You will also be expected to use AI as a primary tool to speed up development and create intelligent features.To be considered for the position, all candidates must complete the following two assessments: Key ResponsibilitiesLead end-to-end development of new product modules, features, and customer-facing apps while ensuring high performance, security, and observability. Directly manage and mentor a team of Software Engineers as well as Agents: conduct code reviews, provide technical guidance, support career growth, run performance processes, and participate in hiring, if necessary.Architect, build, and scale our primary SaaS platform and supporting applications using Django/Python (backend), React (frontend), Celery and Redis (task queues and caching), PostgreSQL, and PostGIS for geospatial capabilities. Design and implement AI agent integrations (using frameworks like Google ADK, LiteLLM, Gemini) to power intelligent features.Own system design decisions, database schemas (including spatial data modeling with PostGIS), API architecture, and deployment pipelines. Collaborate closely with product, design, data, and customer success teams to translate requirements into reliable, AI-enhanced software. Drive best practices in testing, CI/CD, monitoring, scalability, and cost optimization in cloud environments (AWS preferred). Stay current with advancements in AI agents and full-stack technologies to continuously improve our platform.Required Qualifications8+ years of professional software engineering experience, with strong full-stack development background. Deep proficiency in Python/Django and JavaScript; hands-on experience with React, PostgreSQL, PostGIS, Redis, Celery, and Elasticsearch.Proven experience utilizing AI agentic development, including scalable human review workflows and systems. May be asked to demonstrate Production examples where AI has accelerated or improved your outcomes.Experience implementing AI in applications (e.g., LLM-powered agents, multi-agent systems, tool usage, memory/RAG patterns). Track record of successfully leading and managing software engineering teams (formal management experience with onshore/nearshore/offshore). Solid understanding of SaaS architecture: authentication (e.g., Auth0, JWT), multi-tenancy, scalability, REST API design, and cloud deployment.Experience with CI/CD tools (GitHub Actions), observability platforms (Elasticsearch/Kibana, Sentry), and infrastructure automation.Excellent communication and leadership skills; must be based in (or willing to relocate to) the Fort Worth area.Preferred QualificationsWorking knowledge of the oil and gas industry.Experience shipping AI-enhanced SaaS products at scale (handling thousands of users, agent-driven automation). Familiarity with geospatial applications using PostGIS. Experience migrating legacy frontend frameworks (e.g., AngularJS) to modern React architectures.Familiarity with data warehouse integrations (Snowflake) and document processing pipelines.Prior work in startup/scale-up environments with rapid iteration. Open-source contributions or personal projects showcasing AI agents in web apps.