Senior Backend Engineer - Gen AI

European Unionsenior

OtherSenior Backend Engineer

3 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Design, develop, and deploy scalable backend applications using Node.js and TypeScript. Integrate Generative AI and LLM capabilities into production-grade applications and services.

Technical Tools

OtherSenior Backend Engineer

Zartis is a global AI transformation and technology consulting partner where talented engineers and technologists work on cutting edge innovation. We partner with ambitious organizations to design, build, and scale technology solutions that deliver real impact.

Our teams bring deep expertise in AI driven platforms, secure API architectures, and cloud native engineering. You will work on meaningful projects that accelerate the adoption of advanced technologies, from strategy and discovery through to full product delivery, helping turn complex challenges into measurable outcomes.

With engineering hubs across EMEA and LATAM, and long term partnerships in financial services, healthcare and life sciences, and energy and climate, we offer opportunities to work on projects that truly matter. Here, you will not just build technology, you will drive business impact and grow your career alongside industry leaders.

We are looking for a Senior Backend Engineer to work on a project in the Tech industry.

You will join a distributed engineering team building and evolving production-grade applications powered by Generative AI.

This is a hands-on backend engineering role combining Node.js/TypeScript, AWS cloud architecture, and Generative AI. You will design and develop scalable backend services, integrate LLM capabilities into production systems, and contribute to the architectural decisions behind reliable AI-powered products.

A key part of the challenge is going beyond the initial AI integration. You will help ensure these systems perform reliably in production, addressing challenges around response quality, latency, cost, security, traceability, observability, and resilience.

We are looking for an experienced engineer who can take ownership, make sound technical decisions, and apply strong software engineering principles to the specific challenges of building and operating AI-powered applications.

Responsibilities

~2 min read

→
Design, develop, and deploy scalable backend applications using Node.js and TypeScript.
→
Integrate Generative AI and LLM capabilities into production-grade applications and services.
→
Design and operate cloud-native architectures on AWS, working across serverless and container-based environments.
→
Build and deploy containerized workloads using technologies such as EC2, ECS/EKS, and Kubernetes.
→
Build LLM-powered capabilities using Amazon Bedrock and patterns including RAG, tool calling, context management, prompting, and knowledge indexing.
→
Design solutions that address the real-world challenges of production AI, including response quality, latency, cost efficiency, traceability, and observability.
→
Apply engineering best practices around scalability, security, resilience, and maintainability.
→
Contribute to backend and cloud architecture, making informed technical decisions and evaluating trade-offs.
→
Collaborate with engineering and product stakeholders to take AI-powered capabilities from design through to reliable production delivery.

→
Extensive professional experience building backend applications with Node.js and TypeScript.
→
Demonstrable experience designing, developing, and deploying Generative AI capabilities in production — beyond prototypes or proof-of-concepts.
→
Strong hands-on experience designing and operating solutions on AWS.
→
Experience with serverless and container-based architectures, including EC2, ECS/EKS, Kubernetes, or equivalent AWS technologies.
→
Hands-on experience with Amazon Bedrock and/or production LLM applications within the AWS ecosystem.
→
Practical experience implementing LLM application patterns such as Retrieval-Augmented Generation (RAG), tool calling, context management, prompting, and knowledge indexing.
→
Strong understanding of the challenges involved in running AI-powered applications in production, including quality, latency, cost, traceability, and observability.
→
Proven ability to design scalable, secure, resilient, and maintainable backend systems.
→
Experience making technical and architectural decisions and evaluating trade-offs in production environments.
→
Strong communication and collaboration skills, with a proactive approach to ownership and problem-solving.

What We Offer

~1 min read

WFH allowance: Monthly payment as financial support for remote working.

Career Growth: We have established a career development program accessible for all employees with a 360º feedback that will help us to guide you in your career progression.

Training: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative.io, for example), English classes, books, conferences, and events.

Mentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both.

Zartis Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well.

Multicultural working environment: We organize tech events, webinars, parties, and activities to do online team-building games and contests.