Software Engineering Tech Lead at Unframe

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

03 Oct, 26

Salary

0.0

Posted On

05 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Node.js, TypeScript, Frontend Frameworks, System Design, Distributed Architectures, AI/LLM Product Development, Software Architecture, Enterprise Solution Design, Technical Leadership, Scalability, Reliability, Performance Optimization

Industry

technology;Information and Internet

Description

About Unframe Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping Fortune 500 companies move from idea to production faster than anyone else in the market. Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with some of the biggest enterprises in the world. About the Role We’re looking for an Engineering Tech Lead to help drive some of the most strategic technical initiatives at Unframe. This is not a traditional Tech Lead role. We’re looking for someone who is deeply technical and highly hands-on, but also knows how to think strategically, lead architecture decisions, and represent the company in front of enterprise customers and senior stakeholders. You’ll work across multiple teams and domains, partnering closely with Platform, Product, and Engineering teams to design and deliver AI-powered enterprise solutions at scale. One moment you might be deep in architecture or code, and the next you’ll be in a room with customer executives helping guide critical technical decisions. We work on site from our offices in Tel Aviv. What You’ll Do Lead architecture and technical direction for strategic enterprise AI initiatives Work directly with some of the world’s largest enterprises to design and deliver scalable AI-powered solutions Partner cross-functionally with Platform, Product, and Engineering teams across the company Stay deeply hands-on with the code and engineering teams Drive complex technical decisions across scalability, reliability, performance, and system design Help customers solve real production challenges and build long-term technical trust Design versatile enterprise-grade solutions across different customer environments and use cases Influence engineering standards, architecture practices, and long-term technical direction Operate in a fast-moving, high-ownership environment where execution speed matters What We’re Looking For 7+ years of software engineering experience Strong hands-on experience with Node.js, TypeScript, and modern frontend frameworks Deep experience designing scalable production systems and distributed architectures Strong architectural thinking combined with a builder mentality Experience working with enterprise customers or large-scale deployments Experience building AI/LLM-powered products or platforms Excellent communication skills and ability to lead technical conversations with both engineers and executives High ownership mentality and ability to operate independently in ambiguous environments Someone equally comfortable writing code, designing systems, and speaking with customers Why Join Us? This is a rare opportunity to operate at the intersection of engineering, architecture, AI, product, and customer strategy inside a fast-growing AI company. You’ll work directly with founders, senior engineering leaders, and enterprise customers on high-impact initiatives that shape both the product and the company itself. If you’re looking for a role with real ownership, real technical influence, and the opportunity to build AI systems used in production by some of the world’s largest organizations, we’d love to meet you.

Responsibilities

Lead the architecture and technical direction for strategic enterprise AI initiatives while remaining hands-on with code. Partner with cross-functional teams and enterprise customers to design and deliver scalable, production-ready AI solutions.