Customer-Facing AI Engineer — Deploy & Integrate

kalepa.ai

New York (NY)

Hybride

USD 213 000 - 314 000

Plein temps

Il y a 4 jours
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Avantages offerts par ce poste

Equity options
Health/vision/dental coverage

Résumé du poste

Kalepa is seeking Forward Deployed Engineers to embed with customers and integrate Kalepa's software into insurer workflows. You will solve hard, ambiguous problems, build external APIs, and drive real-world impact with a global team of engineers and product managers.

You'll own projects from approach to delivery, communicating blockers and iterating quickly on novel challenges. This role leverages cloud infrastructure, serverless tech, and data-driven decision making to transform a $7T

Qualifications

  • 4+ years of software engineering experience, including customer work.
  • Experience building APIs or integrations with 3rd party systems.
  • Strong ownership, proactive communication and accountability.
  • Solid fundamentals in system design, debugging, and problem solving.
  • Proficient in Python; open to other OO backgrounds.
  • Experience with serverless (Lambda) and cloud environments.
  • Relational database knowledge, ideally PostgreSQL.
  • Bonus: experience with LLMs/generative AI and distributed systems.

Responsabilités

  • Turn client problems into working solutions by proposing technical approaches and implementing them with the team.
  • Collaborate with customers and stakeholders to ensure value delivery and alignment.
  • Own end-to-end delivery of features with minimal oversight.
  • Contribute to architecture and best practices across the engineering team.

Connaissances

Python
APIs
Customer work
Ownership
System design
Debugging

Outils

Lambda
EC2
PostgreSQL
LLMs

Description du poste

Kalepa is seeking Forward Deployed Engineers to embed with customers and integrate Kalepa's software into insurer workflows. You will solve hard, ambiguous problems, build external APIs, and drive real-world impact with a global team of engineers and product managers.

You'll own projects from approach to delivery, communicating blockers and iterating quickly on novel challenges. This role leverages cloud infrastructure, serverless tech, and data-driven decision making to transform a $7T

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