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Salary: USD 185,000 - 255,000 / annual
Kalepa is building AI systems for the insurance industry—a $7T global sector built on professional labor in underwriting, claims, pricing, operations, and distribution. The company creates professional-grade AI that can read, reason, decide, and act inside real workflows, augmenting insurance professionals and automating work over time. Products are already in production with leading insurers, driving measurable outcomes.
As a Forward Deployed Engineer, you will embed directly with customers to integrate Kalepa's software into their systems and ensure they extract full value from the platform. This is a high-impact, customer-facing role combining relationship building, hands-on software development, analytics, and strategy. You will be accountable for turning each client's problem into a working solution: proposing the technical approach, building it, and adapting as their systems and data demand. You'll have a global team of engineers, product managers, and customer success behind you, but individual contributions have outsized impact on both technology and business outcomes.
Kalepa's culture emphasizes hustle and determination, customer impact obsession, meritocracy, transparency, and relentless experimentation. The company is backed by leading investors including IA Ventures and Inspired Capital, with team members from Facebook, Palantir, Google, Amazon, McKinsey, Mastercard, and Uber. The team is global with a primary NY office and remote employees across 10+ languages. The company invests in bringing people together for regional meetups and global offsites.
QUALIFICATIONS:
- 4+ years of software engineering experience, ideally with time spent working directly with customers
- Experience building and using external-facing APIs or designing integrations with 3rd party systems
- Full ownership mentality; ability to drive projects to completion with minimal oversight
- Proactive communication; comfort surfacing blockers and keeping stakeholders informed
- Comfort with experimentation, testing ideas, measuring results, and iterating on novel problems
- Strong fundamentals in system design, debugging, and problem-solving
- Proficiency in Python (main stack); openness to strong candidates from other OO backgrounds
- Experience with serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments
- Strong knowledge of relational databases and performance tuning, ideally PostgreSQL
- Bonus: experience with LLMs/generative AI, distributed systems
