AI Engineer
Hi there! AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
Why join us
If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you! :)
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. (Note: We need software builders, 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.
Perks and benefits
● Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
● Competitive compensation: We match your ever-growing skills, talent, and contributions with 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 that include Fortune 500 enterprises and leading product brands
● Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office — whatever makes you the happiest and most productive.
Meet Our Recruitment Process
Asynchronous stage — An automated, self-paced track that helps us move faster and give you quicker feedback:
● Short online form to confirm basic requirements
● 30–60 minute skills assessment
● 5-minute introduction video
Synchronous stage — Live interviews
● Technical interview with our engineering team (scheduled at your convenience)
● Final interview with your future teammates
If it’s a match—you’ll get an offer!