Senior Software AI Engineer

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.

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. 

- 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.

- 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: Having exposure to LLM/RAG pipelines, vector stores, and MLOps in production,

- 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.