Forward Deployed Engineer

New

Location: Boston; Secondary Locations: Basel, Switzerland, London, United Kingdom, Dublin, Ireland. Dublin, Ireland: Role will begin remotely until we open an office locally. London, England: Role will begin remotely until we open an office locally. Basel, Switzerland: Role will begin remotely until we open an office locally. Eastern USA: ... Hybrid is expected for those local to Boston or NYC. ... We may consider fully remote in Eastern Time Zone in the United States., Eastern Time ZoneFull-TimeSenior

Salary€110K - €132K; €110K – €132K • Offers Equity • Multiple Ranges; Dublin, Ireland: Role will begin remotely until we open an office locally. €110K – €132K • Offers Equity; London, England: Role will begin remotely until we open an office locally. £103K – £131K • Offers Equity; Basel, Switzerland: Role will begin remotely until we open an office locally. CHF 135K – CHF 186K • Offers Equity; Eastern USA: Salary will vary based on experience level and your location in the U.S. Hybrid is expected for those local to Boston or NYC. $162K – $215K • Offers Equity

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Job Details

Experience: 5+ years of software engineering experience
Required Skills: AWSPythonSQLRESTful APIs

Requirements

Have 5+ years of software engineering experience.
Have meaningful experience in client-facing, forward deployed, solutions engineering, or technical consulting roles.
Have shipped code that clients depended on.
Bring strong full-stack or backend engineering skills.
Use Python and SQL.
Be comfortable working with APIs, integrations, and a modern web stack.
Have hands-on experience deploying and operating production systems on AWS.
Be able to reason about security, networking, and cost in client environments.
Have practical experience with LLMs and AI applications, including retrieval, prompting, extraction, and evaluation.
Communicate effectively with technical and non-technical audiences.

Responsibilities

Lead the technical side of client onboarding and deployment, from discovery and scoping through go-live and expansion.
Integrate the platform with client systems and data, including databases, data rooms, document repositories, licensed datasets, and identity providers.
Build production-standard client-specific workflows, configurations, models, and extensions on the AWS-based platform.
Apply LLMs, retrieval, extraction, scenario and risk modeling to client-specific questions, and evaluate the accuracy and defensibility of outputs.
Partner with the data team to onboard client and third-party data sources and establish provenance and quality standards.
Build evaluations and guardrails for client use cases.
Bring field patterns, gaps, and requests to engineering and product, and turn repeated solutions into reusable components and platform features.
Act as the technical point of contact for client accounts and support pre-sales technical discovery, pilots, and proofs of value.

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