Own the inference and intelligence layer of the platform
Building a domain knowledge graph
Hybrid retrieval systems
Agentic platforms
Design systems that ensure compliance-grade AI outputs
Including versioning
Audit trails
Evaluation harnesses
Collaborate with CTO
Product
Data teams to build SDKs and APIs for product engineers
Set technical direction for AI/ML platform and maintain inference infrastructure.
AWSNode.jsPython+2 more
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About Exactera
Exactera pioneers AI-powered corporate tax compliance solutions, transforming complex regulations into clear business intelligence. You'll work with premium data and innovative AI models to solve real-world tax challenges. We serve over 700 corporate customers globally, operating in 30+ countries. Our solutions cover transfer pricing, R&D tax credits, and tax provision, driving efficiency and mitigating risk for multinational enterprises. We've secured $134 million in funding, including investments from Insight Partners, propelling our growth.
How We Work
You will collaborate within a company that values both individual ownership and collective success. We embrace a hybrid work model, with offices in major cities like New York, London, and San Diego. Our teams work across diverse geographical locations, focusing on outcomes and shared goals. Decision-making is collaborative, fostering an environment where your contributions are recognized. We strive for a tight-knit global culture.
Engineering at Exactera
You will join a team solving complex data challenges, including migrating multi-terabyte datasets to a unified Databricks lakehouse. This involves building and maintaining production data pipelines with a focus on reliability and performance. You will exercise architectural judgment on data modeling and pipeline design. Your work ensures data accuracy for AI/ML workloads, including RAG and LLMs. We emphasize robust engineering standards through code reviews and testing practices.
Why Join Us
Shape the future of corporate tax compliance with innovative AI and cloud technologies.
Solve challenging data engineering problems at scale, impacting multi-product lines and global enterprises.
Drive architectural judgment and technical leadership within a growing, funded FinTech SaaS company.
Contribute to a company committed to diversity and inclusion, with opportunities for career development.
Benefits & Perks
Collaborative team culture with career development opportunities.
Generous vacation policy, including paid parental leave.
Comprehensive health plans with FSA and HSA options.
401(k) retirement plan.
Life and disability insurance coverage.
Supplemental benefits: dependent care savings, pet insurance, will preparation, employee assistance program.