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CodiLime is hiring for a hybrid Fullstack + AI Engineering role on a large-scale, multi-tenant SaaS platform used by enterprise go‑to‑market teams. You’ll turn product and design vision into shipped software with depth in either frontend UI or backend services and collaboration in the other.
You’ll design and integrate generative AI capabilities that connect LLMs with enterprise data, APIs and internal tools—prompt design, tool calling, orchestration and guardrails—measured for quality, latency
CodiLime is a software and network engineering industry expert and the first-choice service partner for top global networking hardware providers, software providers and telecoms. We create proofs-of-concept, help our clients build new products, nurture existing ones and provide services in production environments. Our clients include both tech startups and big players in various industries and geographic locations (US, Japan, Israel, Europe).
While no longer a startup - we have 250+ people on board and have been operating since 2011 we’ve kept our people-oriented culture. Our values are simple:
You will work on a large-scale, multi-tenant B2B commercial execution platform used by enterprise go-to-market teams. It combines cloud software, capability benchmarking and advanced analytics to turn commercial strategy into measurable action - from account planning and partner management to pricing and sales performance.
This is a hybrid Fullstack + AI Engineering role. You'll turn product and design vision into shipped software, with genuine depth in either front-end UI engineering or backend services, and working competence in the other. Daily use of AI development tools is part of how the whole team works, not an add-on.
Beyond building product features, you'll design and integrate generative AI capabilities that connect LLMs with the platform's enterprise data, APIs and internal tools - prompt design, tool calling, workflow orchestration, context management, guardrails and human review - all instrumented so that quality, latency and cost are measurable rather than assumed.
You'll be in regular, direct contact with product managers, designers, and client-facing stakeholders, and you'll collaborate with a dedicated team of AI engineers and data scientists on the platform's harder analytical challenges - you own the product integration layer, they own the deeper modeling work. Security runs through everything. This is a multi-tenant SaaS platform handling sensitive enterprise client data, so every feature you ship needs to respect tenant isolation, role-based access control, and least-privilege data access across the UI, API, and AI workflow layers.
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