Senior AI Engineer

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

Requirements

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