Senior Software AI Engineer

Zartis; Emea; Remote; IDR 1.159.324.000 - 1.490.560.000; Full time

Job summary

A digital solutions provider seeks a Senior Software AI Engineer to work on an AI-driven platform. This role offers 100% remote work, tasks include implementing production environments and ensuring compliance. Ideal candidates have extensive experience in field solutions engineering, knowledge of cloud technologies, and strong integration skills. Competitive benefits and a focus on career growth are provided.

Benefits

100% Remote Work

WFH allowance

Career development program

Tech training

Mentoring Program

Wellbeing Hub access

Multicultural working environment

Qualifications

• 5–10 years in field engineering/solutions engineering/implementation for B2B platforms.
• Depth in at least two clouds (AWS/GCP/Azure) plus Kubernetes, Terraform.
• Strong integration experience with REST/GraphQL APIs, webhooks, and event streams.

Responsibilities

• Implement and integrate production environments with modern cloud technologies.
• Design and deliver workflows, connectors, APIs, and data transformations.
• Participate in incident response and define SLOs for observability.

Skills

Field engineering/solutions engineering/implementation for B2B platforms

AWS/GCP/Azure

Kubernetes

Terraform

Containerized app deployment

REST/GraphQL APIs

Scripting in Python and/or TypeScript/Node.js

PostgreSQL

Customer-facing communication

Job description

The company and our mission

The company and our mission: Zartis is a digital solutions provider working across technology strategy, software engineering and product development. We partner with firms across financial services, MedTech, media, logistics technology, renewable energy, EdTech, e-commerce, and more. Our engineering hubs in EMEA and LATAM are full of talented professionals delivering business success and digital improvement across application development, software architecture, CI/CD, business intelligence, QA automation, and new technology integrations.

We are looking for a Senior Software AI Engineer to work on a project in the AI industry.

The project

Our teammates are talented people that come from a variety of backgrounds. We’re committed to building an inclusive culture based on trust and innovation.

You will be part of a distributed team developing new technologies to solve real business problems. Our client is a fast-moving startup building a cutting-edge AI-driven platform that transforms how businesses interact with data and automate workflows. Their technology enables seamless integration, real-time automation, and AI-powered decision-making. You’ll own hands-on implementation and integration, working closely with the Head of Field Engineering, and interfacing with both the CTO (technical standards/product readiness) and COO (delivery execution/scale).

We are looking for someone with good communication skills, ideally with experience making decisions, being proactive, used to building software from scratch, and with good attention to detail.

What you will do

• Implement & Integrate: Stand up production environments; configure identity (SAML/OIDC/SCIM), networking (VPC, peering, VPN, private link), data pipelines, and eventing (Kafka/Kinesis/Pub/Sub).
• Solution Buildouts: Design and deliver workflows, connectors, and APIs (REST/GraphQL), including data mapping, transformations, and error handling.
• IaC & Release: Ship repeatable deployments via Terraform/Helm; contribute to golden-path modules, runbooks, and checklists; manage cutovers and rollbacks.
• Observability & Reliability: Instrument services, define SLOs, set up alerting/dashboards, and drive hypercare; participate in incident response and postmortems.
• Security & Compliance: Execute enterprise security reviews (data residency, encryption, RBAC/least privilege), and produce customer-ready artifacts.
• Customer Leadership: Run technical workshops, UAT, performance/load testing, and go-live. Triage issues with crisp root-cause and action plans.
• Presales Assist (Selective): Support scoped demos/POCs and implementation estimates when needed.
• Field Feedback → Product: Channel deployment learnings into product/roadmap and documentation improvements.
• Measure What Matters: Help improve time-to-value, on-time go-lives, SLO/SLA adherence, and customer CSAT.

What you will bring

• 5–10 years in field engineering/solutions engineering/implementation for B2B platforms (data/AI/automation preferred).
• Depth in at least two clouds (AWS/GCP/Azure) plus Kubernetes, Terraform, and containerized app deployment.
• Strong integration chops: REST/GraphQL APIs, webhooks, event streams, and secure secrets/config management.
• Identity & Networking: Hands-on with SAML/OIDC/SCIM; VPC design, peering, VPN, private connectivity, and firewall policies.
• Observability: Practical experience with metrics/logs/traces (Prometheus, Grafana, OpenTelemetry) and SLO-driven operations.
• Scripting/Dev: Proficiency in Python and/or TypeScript/Node.js for glue code, tooling, and accelerators.
• Data & DBs: Comfortable with PostgreSQL and event-driven patterns for reliable data flows.
• Customer-facing communication, clear documentation, and steady hands during cutovers/escalations.
• Nice to have: Exposure to LLM/RAG pipelines, vector stores, and MLOps in production.

What we offer

• 100% Remote Work
• WFH allowance: Monthly payment as financial support for remote working.
• Career Growth: A career development program accessible for all employees with a 360º feedback to guide your progression.
• Training: Time for tech training during the week (online courses from Pluralsight and Educative.io, English classes, books, conferences, and events).
• Mentoring Program: You can become a mentor or receive mentorship, or both.
• Zartis Wellbeing Hub (Kara Connect): Access to sessions with mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars.
• Multicultural working environment: Tech events, webinars, parties, online team-building games and contests.