Senior Microsoft AI Developer (Azure / Python)
Devsu · Remote
Skills in this posting
Extracted from the posting text by the instrument — the demand side, read literally.
The posting
Proven experience as a Senior or Lead Engineer delivering production-grade AI/ML or GenAI solutions
Strong hands-on expertise in Azure , including designing and deploying end-to-end AI architectures
Experience with Azure AI Foundry , Azure OpenAI , and enterprise AI service integration
Solid experience building AI agents using Microsoft Agent Framework (or similar frameworks)
Strong Python experience building AI applications, APIs, and LLM-based services (not only data pipelines)
Strong experience with RAG architectures , prompt engineering, and LLM orchestration
Experience with Databricks, Azure Data Factory, and SQL for data-driven AI solutions
Hands-on experience with LLMOps / MLOps practices (monitoring, evaluation, versioning, deployment pipelines)
Strong understanding of system design, scalability, and distributed systems
Proven ability to deliver measurable impact in production environments (e.g., automation, cost savings, performance improvements)
Strong communication skills with the ability to work with both technical and non-technical stakeholders
Experience leading technical initiatives and mentoring engineers in a delivery-focused environment
Design, build, and deploy production-grade GenAI solutions (AI agents, copilots, RAG pipelines) with a focus on scalability, reliability, and performance
Own end-to-end architecture of AI systems on Azure, including integration with enterprise data platforms and backend services
Lead the development of LLM-powered applications using Azure-native services and modern orchestration frameworks
Implement LLMOps practices , including monitoring, logging, evaluation, prompt/version management, and cost optimization
Translate business requirements into technical AI solutions and define scalable implementation strategies
Ensure security, governance, and compliance across all AI solutions
Optimize AI systems for latency, cost, and accuracy in production environments
Provide technical leadership , mentor engineers, and drive best practices in system design and code quality
At Devsu, we believe in creating an environment where you can thrive both personally and professionally. By joining our team, you’ll enjoy:
- A stable, long-term contract with opportunities for career growth
- Private health insurance
- A remote-friendly culture that promotes work-life balance
- Continuous training, mentorship, and learning programs to keep you at the forefront of the industry
- Free access to AI training resources and state-of-the-art AI tools to elevate your daily work
- A flexible Paid Time Off (PTO) policy as well as paid holiday days
- Challenging, world-class software projects for clients in the US and LatAm
- Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment
Join Devsu and discover a workplace that values your growth, supports your well-being, and empowers you to make a global impact.
Excerpt from the original listing. The full, current text lives at the source. Read and apply there →
The PivotHop read
- What an ai engineer actually earnsmedian, seniority, by country
- Alternative careers for an ai engineerevery measured route out
- Machine Learning Engineer → AI Engineer59% readiness
- All open ai engineer rolesthe full board
Where these skills also reach
Adjacent occupations measured from the same postings — readiness is what an ai engineer’s profile already covers.
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- 7 open data annotator roles51% readiness from ai engineer
- 27 open developer advocate roles46% readiness from ai engineer
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