Odpovědnosti

Původní popisek.

Designing, building, testing and operating production Python services with FastAPI - endpoint design, data validation with Pydantic, auth, error handling and observability
Writing and optimizing SQL against PostgreSQL and contributing to schema and data-model decisions
Deploying and running services on Kubernetes, including reasoning about stateful vs stateless workloads and what that means for databases and persistent data
Building and integrating generative AI features 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
Evaluating AI workflows and monitoring quality, latency, cost, and failure rates
Maintaining a solid automated test suite (pytest) and helping build automated quality gates

Ukázat vše (10)

O pozici / o projektu

Původní popisek.

Get to know us better

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:

Act to deliver.
Disrupt to grow.
Team up to win.

The project and the team

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 backend-focused Software Engineering role with a strong AI component. You'll build and operate the Python services behind the platform - APIs, data access, background processing - and you'll design and integrate the generative AI capabilities that sit on top of them: connecting LLMs with the platform's enterprise data, APIs and internal tools through prompt design, tool calling, workflow orchestration, guardrails and human review, all instrumented so that quality, latency and cost are measurable rather than assumed.

Daily use of AI development tools is part of how the whole team works, not an add-on. You're expected to use assistants like Claude Code across coding, testing, debugging and code review - and to validate everything they produce before it reaches production.

You'll be in regular, direct contact with product managers, designers and client-facing stakeholders, and you'll collaborate with a dedicated team of data scientists on the platform's harder analytical challenges: you own the product integration layer, they own the deeper modelling work. Security runs through everything. This is a multi-tenant SaaS platform handling sensitive enterprise client data, so every service you ship needs to respect tenant isolation, role-based access control and least-privilege data access - across the API, data and AI workflow layers.

What else you should know:

Team: Product Managers, UX Designers, Fullstack Engineers, Data Engineers, DevOps Engineers, AI Engineers, Data Scientists
You own the product-facing AI integration layer; deeper ML and data-science work is handled by dedicated specialists you collaborate with
AI-augmented development is a core expectation of the role, not optional - daily use of tools like Claude Code or Codex across coding, testing, debugging, and code review
Multi-tenant SaaS platform handling sensitive enterprise client data - a security-first mindset is expected at every layer
Agile, collaborative, impact-driven environment with close cooperation with business and client-facing stakeholders
Strong ownership culture and product mindset

We work on multiple interesting projects at a time, so it may happen that we’ll invite you to an interview for another project if we see that your competencies and profile are well suited for it.

More reasons to join us

Flexible working hours and approach to work: fully remotely, in the office or hybrid
Professional growth supported by internal training sessions and a training budget
Solid onboarding with a hands-on approach to give you an easy start
A great atmosphere among professionals who are passionate about their work
The ability to change the project you work on

Detail pracovní nabídky

Ihned
Práce plně na dálku

Výhody v kanceláři

Bezplatná káva
Parkování kol
Zábavná zóna
Bezplatné nápoje
Bezplatný oběd
Vnitřní školení
Moderní kancelář
Bez požadavku na dress code

Výhody

Sportovní balíček
Rozpočet na školení
Soukromá zdravotní péče
Plochá struktura
Malé týmy
Mezinárodní projekty
Masterclazz training

Software Engineer with AI @ CodiLime

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