Solutions Engineer

• Join customer discovery calls to understand workflows, systems, data, and pain points
• Learn frontline processes, rules, and exceptions and translate them into explicit logic
• Assess technical feasibility and determine where human review should remain in the loop
• Translate customer needs into solution designs, estimates, and scope
• Build proofs of concept and customer demos
• Estimate model usage, infrastructure, and maintenance costs
• Design, build, and deploy AI agents and automations for multi-step customer operations workflows
• Integrate CRMs, ERPs, accounting platforms, email, messaging, and document storage using APIs or browser automation
• Write production-quality Python for integrations, data transformation, and agent tooling
• Use SQL to validate outputs, reconcile records, and measure accuracy
• Implement error handling, retries, idempotency, logging, alerting, and graceful fallbacks
• Create testing and evaluation processes, regression checks, and accuracy tracking
• Architect isolated customer data, credentials, and permissions
• Hand off live agents to Operations Managers with runbooks, dashboards, review queues, and escalation paths
• Train Operations Managers to supervise agent output and handle routine exceptions
• Serve as technical escalation point for agent failures and customer system changes
• Build reusable components, templates, and deployment patterns
• Measure and report customer impact, including hours saved, turnaround time, error rates, and cost per run
• Establish workflow baselines and deliver sustained measurable improvements
• Shorten time from signed agreement to measurable customer results
• Support renewals and expansions through durable customer outcomes

AI Solutions Engineer – Agents & Automation

• Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs
• Implement and optimize RAG systems for production use cases
• Design and build LLM-based and agentic AI solutions that address real client business challenges
• Own the technical direction of client engagements from discovery through delivery
• Support presales: discovery calls, technical proposals, scoping, and client-facing demos
• Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice
• Mentor engineers, lead code reviews, and share knowledge across the team
• Build and maintain strong relationships with key client stakeholders as a trusted technical advisor

Solutions Engineer jobs in Serbia

AI Solutions Engineer – Agents & Automation

Python Solutions Architect, GenAI