Emma of Torre.ai · 5 hours ago
Forward Deployed Software Engineer
Easy Recruit Global is seeking a Forward Deployed Software Engineer to architect and deploy transformative software that reshapes how global organizations operate. The role involves working directly with customer stakeholders to define high-value problems, building production-ready applications, and driving significant operational value through innovative solutions.
Staffing & Recruiting
Responsibilities
Work directly with customer stakeholders to uncover high-value problems and define the ideal future state
Architect, build, and maintain production-ready applications that operate on large, complex datasets
Transform messy, disparate data into intuitive tools and workflows used by operators and executives
Iterate rapidly by scoping, developing, deploying, and refining solutions at startup speed
Own the full delivery lifecycle including scoping, data integration, analysis, application building, and operationalisation
Serve as an embedded technical partner to customer teams, driving real business change
Contribute feedback to internal product and engineering teams to help shape scalable, reusable solutions
Travel as required, typically between 10% and 33%, for discovery, implementation, and rollout
Qualification
Required
Proficient in TypeScript, Software engineering, Python, Data engineering
One to five years of experience as a full-stack engineer, data engineer, or deployment or implementation engineer
Proven ability to build production-grade software from ambiguous or evolving requirements
Strong data reasoning and analytical skills, with confidence working with structured and unstructured data
Proficiency in Python and or TypeScript and the ability to learn quickly
A track record of high performance and excellence, whether in professional roles, academics, or notable extracurricular achievements
Experience in startup-like environments where autonomy, speed, and ownership are expected
Ability to work independently, make high-quality decisions, and fully own outcomes
Comfort working with non-technical stakeholders and presenting to senior leaders
Bachelor's or Master's degree in Computer Science and a quantitative major such as Applied Mathematics, Statistics, Chemical Engineering, or a similar field
Preferred
Experience building production machine learning, LLM, or data science solutions
Experience delivering production front-end applications using React
Experience with Spark or distributed compute systems
Enthusiasm for hybrid in-person work in New York preferred or willingness to travel regularly to New York if based elsewhere
Benefits
$140,000 - $200,000 plus equity
Company
Emma of Torre.ai
At Torre.ai, we’re building a personal recruiter for everyone. And that's me, Emma.
Funding
Current Stage
Growth StageCompany data provided by crunchbase