3 дня назад
Software Engineer (AI)
170 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI): Building a market-intelligence foundation that ingests, structures, and serves fragmented climate-market data with an accent on reliable data products, internal APIs, MCP tools, and AI-powered research workflows. Focus on entity resolution, data validation and provenance, retrieval systems, production observability, and turning ambiguous user needs into maintainable software used by Climate Strategy, Sales, and Marketing.
Location: Hybrid, San Francisco, United States; onsite culture in San Francisco
Salary: $170,000–$220,000 annual base salary for San Francisco-based employees; full-time employees are also eligible for equity and insurance.
Company
builds software and market infrastructure that scale climate action through environmental datasets, climate-market intelligence, and tools that help companies achieve measurable climate goals.
What you will do
- Build and operate a market-intelligence foundation covering companies, carbon markets, registries, policies, suppliers, buyers, and climate commitments.
- Ingest, structure, enrich, and model data from APIs, websites, registries, PDFs, spreadsheets, and public disclosures.
- Develop schemas, entity-resolution workflows, validation checks, provenance tracking, freshness monitoring, and confidence signals.
- Build AI-powered research workflows, retrieval systems, MCP tools, agents, internal applications, APIs, and workflow integrations.
- Turn prototypes into observable, testable, maintainable production systems used by Climate Strategists, Sales, and Marketing.
- Own medium-sized projects end to end, from ambiguous user needs and design through implementation, rollout, monitoring, and iteration.
Requirements
- Production experience shipping and maintaining software or data systems.
- Strong software engineering skills in at least one of Python, TypeScript, or JavaScript, plus solid SQL, API, and cloud-infrastructure experience.
- Experience with data ingestion, ETL/ELT, web scraping, data modeling, entity resolution, or external API integrations.
- Understanding of data-quality practices including testing, monitoring, versioning, documentation, validation, and provenance.
- Experience building or operating AI- or LLM-powered systems involving retrieval, tool calling, agents, workflow orchestration, evaluation, or human-in-the-loop review.
- Ability to work across backend services, data pipelines, internal tools, and lightweight user interfaces in a small, high-ownership environment.
Nice to have
- Experience with Salesforce, HubSpot, Gong, Zapier, n8n, BigQuery, dbt, or enrichment platforms.
- Background in climate markets, carbon markets, sustainability data, energy, finance, or research.
Culture & Benefits
- Mission-focused environment with a fast pace and high standards.
- Competitive salary, meaningful equity, and insurance eligibility for full-time employees.
- Annual global offsites for strategy and team bonding.
- Unlimited vacation and generous parental leave.
- Monthly mental and physical wellness stipend.
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