Senior AI Engineer

Internetwork Expert; Lisboa; Hybrid; EUR 75,000 - 115,000; Full time

Job summary

Trinetix is seeking a Senior AI Engineer to design and implement production-grade AI applications using Python. You will translate business needs into scalable AI solutions, build backend services and APIs, and work with LLMs across enterprise systems.

You will contribute to architecture decisions, ensure observability and testing, and collaborate with clients and stakeholders to refine requirements and deliver robust AI-enabled products.

Qualifications

• 5+ years of experience in software/ backend engineering or related fields.
• Strong Python fundamentals and production-grade Python applications.
• Experience deploying AI or LLM-powered products beyond notebooks.
• Experience building backend services and APIs using Python.
• Solid software engineering fundamentals: modular design, testing, version control, CI/CD.
• Hands‑on experience evaluating LLM outputs with repeatable tests.
• Experience with observability, instrumentation, logging and monitoring of production apps.
• Ability to reason from first principles and solve unfamiliar technical problems.
• Strong communication with technical and business stakeholders.
• Ability to balance hands-on delivery with design leadership.

Responsibilities

• Design and build production-grade AI applications and services using Python.
• Translate business requirements and AI use cases into practical technical solutions.
• Build backend services, APIs, workflows and integrations with LLMs and AI capabilities.
• Design evaluation frameworks and test cases to measure AI outputs.
• Develop techniques to improve consistency and predictability of LLM-powered features.
• Implement observability, instrumentation, tracing and monitoring for AI systems.
• Build reusable components for prompting, model interaction, evaluation, retrieval and orchestration.
• Develop automated tests and CI/CD pipelines for AI applications.
• Integrate AI applications with enterprise data platforms and APIs.
• Diagnose and resolve issues in deployed applications and production workloads.
• Contribute to architecture and technology decisions across AI products.
• Review engineering work and establish best practices for Python and AI development.
• Work directly with clients and stakeholders to refine requirements and shape solutions.

Skills

Python fundamentals

Backend services

APIs

LLM integration

Observability

Problem solving

Stakeholder communication

Job description

Hybrid or full remote

We are looking for a Senior AI Engineer to design and build production-grade AI applications and services using Python. In this role, you will turn business and AI use cases into reliable, scalable technical solutions, working with LLMs, backend services, APIs, and enterprise systems.

What You'll Do

• Design and build production-grade AI applications and services using Python


• Translate business requirements and AI use cases into practical technical solutions


• Build backend services, APIs, workflows, and integrations that incorporate LLMs and other AI capabilities


• Design evaluation frameworks and test cases to measure the quality and reliability of AI outputs


• Develop techniques to improve the consistency and predictability of LLM-powered features


• Implement observability, instrumentation, tracing, and monitoring for AI systems


• Build reusable components for prompting, model interaction, evaluation, retrieval, and orchestration


• Develop automated tests and CI/CD pipelines for AI applications


• Integrate AI applications with enterprise data platforms, APIs, and business systems


• Diagnose and resolve issues in deployed applications and support production workloads


• Contribute to architecture and technology decisions across AI products


• Review engineering work and establish best practices for Python and AI application development


• Work directly with clients and stakeholders to refine requirements, evaluate trade-offs, and shape solutions

Must-Haves

• 5+ years of experience in software engineering, backend engineering, applied AI, or related fields


• Strong Python fundamentals and experience building maintainable, production-grade Python applications


• Experience designing and deploying AI or LLM-powered products beyond proof-of-concept or notebook environments


• Experience building backend services and APIs using Python


• Strong understanding of software engineering fundamentals, including modular design, testing, version control, and CI/CD


• Hands‑on experience evaluating LLM outputs and designing repeatable test cases for AI applications


• Experience with observability, instrumentation, logging, tracing, or monitoring of production applications


• Understanding of the challenges involved in making probabilistic AI systems reliable and predictable


• Experience integrating applications with external APIs, data sources, and enterprise systems


• Ability to reason from first principles and solve unfamiliar technical problems rather than relying solely on frameworks or tools


• Strong communication skills and experience working directly with technical and business stakeholders


• Ability to balance hands‑on delivery with technical guidance and solution design

Nice-to-Haves

• Experience with RAG, semantic search, embeddings, vector databases, or other retrieval-based AI architectures


• Experience building agentic or multi‑step LLM workflows


• Familiarity with structured LLM outputs, tool calling, and schema‑driven application patterns


• Experience with AI evaluation, experimentation, or observability platforms


• Experience with Microsoft Azure AI Foundry, Microsoft Fabric, Databricks, or similar enterprise platforms


• Experience with cloud infrastructure, containerisation, and production deployment of Python services


• Familiarity with modern Python frameworks and tooling for APIs, data validation, testing, and dependency management


• Experience integrating AI applications with enterprise data platforms and semantic layers


• Exposure to consulting, financial services, manufacturing, or other enterprise environments


• Experience supporting production applications used by external clients or business‑critical teams

About Us

Established in 2011, Trinetix is a dynamic tech service provider supporting enterprise clients around the world.

Headquartered in Nashville, Tennessee, we have a global team of over 1,000 professionals and delivery centers across Europe, the United States, and Argentina. We partner with leading global brands, delivering innovative digital solutions across Fintech, Professional Services, Logistics, Healthcare, and Agriculture.

Our operations are driven by a strong business vision, a people‑first culture, and a commitment to responsible growth. We actively give back to the community through various CSR activities and adhere to international principles for sustainable development and business ethics.

To learn more about how we collect, process, and store your personal data, please review our Privacy Notice: https://www.trinetix.com/corporate-policies/privacy-notice