Artificial Intelligence Engineer

About the role

We are looking for an Agentic AI Engineer to build AI agents that analyze infrastructure discovery logs and automate complex troubleshooting. Using Python and REST APIs, this person integrates Gen AI capabilities such as RAG and vector databases into production systems, correlating failures and recommending fixes. This is a software engineering role, not a research position.

What you will do

• Design and build AI agents that continuously analyze Discovery logs, execution results, errors, and failed discoveries at scale.
• Develop agents capable of classifying and correlating failures, performing troubleshooting, identifying probable root causes, and recommending corrective actions.
• Build capabilities for agents to analyze and recommend or generate corrections to probes and patterns, ensuring appropriate testing and guardrails are in place before production changes.
• Create and manage the data-processing pipelines and API integrations required to feed telemetry from monitoring platforms into the AI ecosystem.

Must haves

• 4+ years of experience in software engineering, with advanced Python development and REST API design capabilities with experience building APIs, data-processing pipelines, integrations, automation, and production-grade engineering solutions.
• Practical experience integrating Gen AI APIs into software applications (e.g., OpenAI, Anthropic) and a working understanding of developer-level concepts like Retrieval-Augmented Generation (RAG) and vector databases. Software builders are needed, not Machine Learning researchers.
• Strong experience with modern software development and SDLC practices and toolchains, including Git/GitHub, Jenkins or equivalent CI/CD platforms, artifact repositories, automated testing, code quality/security scanning, release management, and deployment automation.
• Upper-intermediate English level.

Nice to haves

• Experience with high-volume logs, metrics, errors, and operational datasets to identify patterns and anomalies.
• General knowledge of Infrastructure Engineering or ServiceNow platform operations.

Benefits

Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

Competitive compensation

Competitive USD-based compensation and budgets for education, fitness, and team activities.

A selection of exciting projects

Join projects with modern solutions development and top-tier clients, including Fortune 500 enterprises and leading product brands.

Flextime

Tailor your schedule for work-life balance, with options to work from home or go to the office.

Recruitment process

Asynchronous stage – An automated, self-paced track:

• Short online form to confirm basic requirements.
• 30–60 minute skills assessment via Codility.
• 5-minute introduction video.

Synchronous stage – Live interviews:

• Technical interview with the engineering team.
• Final interview with future teammates.

If it’s a match, you’ll get an offer.