Role: Senior AI Engineer
Location: Boston, MA (4 days onsite & 1 day remote per week)
Duration: 8-month contract; likely extensions
Interview: 1 virtual interview; 1 F2F interview; Offer
Skillset
:Looking for Python Developers that have gotten into the AI space
.Must have a development background, not looking for Data Science, Data Engineering foundational consultants
.
Overvi
ewWe are partnering with a growing AI organization within a leading insurance company to build out a next-generation AI engineering team. This is an early-stage, high-impact opportunity to work directly with leadership to reimagine the claims lifecycle using AI and Generative AI technologie
s.This team is focused on rapid experimentation, iteration, and delivering real-world AI solutions that improve claims triage, investigation, and overall operational efficienc
y.
What You’ll
- DoDesign and develop AI-driven applications and services to enhance claims processing and decision-mak
- ingBuild and integrate solutions using Generative AI, LLMs, and modern AI framewo
- rksCollaborate with product and engineering teams to rapidly prototype, test, and iterate (“fail fast” environme
- nt)Develop scalable backend services and APIs to support AI workfl
- owsContribute to architecture and design decisions for a growing AI platf
- ormPartner with cross-functional stakeholders to translate business problems into technical AI soluti
ons
Top Must-Have Qualificat
- ionsStrong experience in Python development (preferred primary langu
- age)Hands-on experience building applications (backend or full stack) with exposure to AI/ML or G
- enAIExperience working with APIs, distributed systems, or scalable application architec
- tureProven ability to work in fast-paced, experimental environments with evolving requirem
ents
Ideal Candidate Pr
- ofileBackgroun
- d in:Application development transitioning in
- to AIStrong problem-solver with ability to connect business use cases to technical solu
- tions5+ years of software engineering experience, including work with machine learning (ML) or AI sys
- tems.Comfortable operating in a building phase environment with ambiguous require
- mentsDemonstrates curiosity, adaptability, and a bias toward action and experiment
ation