Water resource engineer - in - training supporting flood, river, stormwater, and watercourse projects at Onterris. Assisting modelling, design, field investigations, and regulatory work.
About the role
- AI-first Forward Deployed Engineer at Pulsora, focusing on customer-driven AI-enabled solutions. Collaborate with stakeholders to improve enterprise software through innovative practices and deliver measurable outcomes.
Responsibilities
- Lead complex enterprise deployments and implementations of the Pulsora platform for global customers
- Partner directly with customer stakeholders to understand business processes, technical requirements, and ESG reporting workflows
- Design and implement AI-enabled solutions that improve automation, compliance, reporting, and operational efficiency
- Use AI-first engineering practices including AI coding assistants, prompt engineering, rapid prototyping, vibe coding, and LLM-powered application development
- Rapidly build proofs-of-concept, internal tools, automations, integrations, dashboards, and lightweight applications
- Configure workflows, validations, ETL pipelines, analytics, integrations, and reporting within the Pulsora platform
- Develop reusable implementation accelerators and AI-powered tooling that improve delivery speed and scalability
- Collaborate closely with Engineering and Product teams to influence roadmap priorities based on customer feedback
- Lead solution workshops, architecture reviews, product demonstrations, and technical deep dives
- Troubleshoot technical escalations and serve as a trusted technical advisor to enterprise customers
- Support customer adoption, quarterly business reviews, and annual reporting cycles
Requirements
- 3–7 years of experience in Forward Deployed Engineering, Solutions Engineering, Technical Consulting, Solution Architecture, Enterprise SaaS Implementation, or Customer Engineering
- Strong experience with AI-assisted software development and modern engineering workflows
- Hands-on experience with Python, JavaScript / TypeScript, SQL, REST APIs, integrations, and analytics platforms
- Experience with LLM application development including prompt engineering, RAG, AI agents, workflow orchestration, and evaluation
- Strong vibe coding skills with the ability to rapidly prototype and ship solutions using AI-native development environments
- Experience using modern AI development tools such as Cursor, Windsurf, GitHub Copilot, Claude, ChatGPT, OpenAI APIs, LangChain, LangGraph, Vercel AI SDK, Replit, and Bolt.new
- Ability to quickly build internal tools, automations, workflow systems, AI-powered applications, and customer-facing prototypes
- Familiarity with cloud-native and open-source technologies
- Strong understanding of enterprise systems integration and business process automation
- Excellent communication and customer engagement skills
- Familiarity with ESG, sustainability, carbon accounting, or reporting frameworks such as CDP, SASB, GRI, or TCFD is a plus
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
Benefits
- The company will pay with salary, equity, and benefits
- Hybrid-friendly work environment, in office 2-3 times per week (for those in New York, San Francisco Bay Area, and Munich)
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