Senior Agentic Developer

2 weeks ago

Houston, Texas, United States SynMax Full time
About SynMax: Based in Houston, Texas, with offices in London and New York, SynMax is a pioneering data intelligence company specializing in maritime and energy intelligence. By integrating advanced satellite imagery and AI, SynMax delivers unparalleled insights into maritime operations, oil and gas development, coal inventory, and LNG flows, enabling businesses and organizations to make data-driven decisions with precision and confidence.
Job Description: The Senior Agentic Developer will play a critical role in designing, building, and scaling SynMax's agentic AI capabilities across both customer-facing products and internal platforms.
This role focuses on developing intelligent, autonomous systems that help users interact with complex data, internal knowledge, and workflows in more powerful, intuitive ways. These systems will support both external customers and internal teams, enabling them to work more efficiently, make better decisions, and engage more effectively with SynMax's products and knowledge base.
The successful candidate will help build the long-term agentic foundations of SynMax's platform and product ecosystem.
This is a senior, hands-on engineering role combining deep technical development with systems thinking, product mindset, and cross-functional influence.
Role Purpose:
The purpose of this role is to:
Design and develop SynMax's next-generation agentic AI capabilities.
Build scalable, reliable AI agents that interact with data, systems, and users across the product and internal landscape.
Support the responsible and thoughtful integration of agentic AI into how SynMax operates and delivers value to customers.
Help establish technical foundations, patterns, and evaluation frameworks for agentic systems across the company. Key Responsibilities
  • Agentic System Design & Development
  • Design and build autonomous, agent-driven systems that interact with data, tools, and users across SynMax's products and internal platforms.
  • Develop intelligent workflows using LLMs, structured data sources, APIs, and internal services.
  • Translate complex product or operational requirements into robust, scalable agentic architectures.
  • Build agent systems that can reason, retrieve information, orchestrate tools, and present structured outputs to users.
  • Customer-Facing Agentic Features
  • A core focus of the role is developing agentic capabilities that improve SynMax's customer-facing products.
  • Building agentic interfaces for interacting with complex geospatial and market intelligence.
  • Enabling users to query, explore, and understand SynMax data through natural language and agent-driven workflows.
  • Supporting product teams in embedding agentic capabilities into the platform and user experience.
  • Internal Agentic Platforms & Knowledge Systems
  • Contributing to internal agentic platforms (e.g. knowledge agents, workflow assistants, internal support agents).
  • Integrating agentic systems with tools such as Slack, Jira, GitHub, Notion, HubSpot, and internal databases.
  • Supporting internal productivity and knowledge access without creating dependence or risk.
  • Ensuring these systems are reliable, explainable, and aligned with how teams naturally work.
  • Evaluation, Reliability & Responsible AI
  • Designing evaluation approaches to track quality, reliability, and improvement over time.
  • Implementing feedback loops, observation, and performance measurement for agent behaviour.
  • Developing safeguards, guardrails, and auditing mechanisms to ensure responsible and safe usage.
  • Ensuring systems enhance human decision-making rather than obscure or replace it.
  • Support & Influence on No/Low-Code Agentic Tools
  • Support and guide teams using tools such as N8N, Agent Builder, or similar platforms.
  • Help define standards, integration patterns, and best practices for these workflows.
  • Bridge the gap between no-code experimentation and production-grade engineering systems.
  • Enable others across SynMax to experiment safely and productively with agentic AI.
  • Cross-Functional Collaboration & Influence
  • Product teams designing customer experiences and workflows.
  • Data and platform engineers integrating AI with core infrastructure.
  • Commercial and operations teams using internal agentic tools.
  • Leadership and strategy teams shaping SynMax's long-term use of AI.
Experience & Background
  • 5-7 experience as a software engineer, AI engineer, or applied machine learning developer.
  • Hands-on experience building systems using large language models or intelligent automation.
  • Experience scaling AI prototypes into production systems.
  • Strong system architecture and distributed systems experience.
Key Skills & Compentencies
  • Strong programming capability.
  • Experience with LLM frameworks, agent orchestration, or multi-agent system design.
  • Strong system design skills, including API and service architecture.
  • Experience building reliable, observable, and scalable production systems.
  • Ability to communicate complex systems clearly to technical and non-technical audiences.
Desirable Experience
  • Experience working with multi-agent or autonomous systems.
  • Experience integrating with tools such as Slack, GitHub, Jira, Notion, or similar platforms.
  • Familiarity with evaluation frameworks and AI system quality measurement.
  • Experience in data-intensive, geospatial, or analytics-focused environments.
$150,000 - $200,000 a year Equal Opportunity Statement: SynMax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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