Solutions Engineer

Skills

APIComputer ScienceArtificial IntelligenceProject ManagementPrototypingRolloutSolutions Engineering

Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

MS in Computer Science or related field preferred
Experience building solutions on top of LLM APIs
5+ years of experience in solutions engineering or deployment at a venture based startup or top industry AI group
Strong Python proficiency and deep expertise in either full-stack development, search technologies, ML, Infrastructure
Demonstrated leadership ability
Excellent communication
Prior experience building solutions with financial domain data

Day to day

End-to-end execution of projects with strategic customers, working directly with customers and internal engineering teams to implement solutions
Act as the primary technical advisor for prospective customers, demonstrating use cases through proofs of concept and providing integration guidance
Prototype solutions with continuous user feedback, ensuring adherence to best practices and efficient development of solutions

Company

Why this team might suit you

Mission, benefits, values and useful company context.

Mission

RavenPack is the leading big data analytics provider for financial services. Financial professionals rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content. The company’s products allow clients to enhance returns, reduce risk or increase efficiency by incorporating the effects of public information in their models or workflows. RavenPack’s clients include the most successful hedge funds, banks, and asset managers in the world.

Benefits

Latest vector search technologies
Following the onboarding period, hybrid work model allowing for up to 2 days remote per week
Ownership of projects
Collaborative environment
Agile environment
Support for ongoing training
Diversity
International environment

Values

RavenPack is the leading big data analytics provider for financial services. Financial professionals rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content. At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are now launching a new suite of GenAI and SaaS services, designed specifically for financial professionals. Join a Company that is Powering the Future of Finance with AI. RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year’s Top 100 Next Unicorns by Viva Technology. We're now preparing to launch Bigdata.com, a next-generation platform aimed at transforming financial decision-making.