AgileEngine

Senior Agentic AI Engineer | Join AgileEngine

In short

Senior Agentic AI Engineer role for a Bloomberg project staffed through AgileEngine, building secure enterprise applications and agentic workflows connecting AI agents to enterprise data and tools. Requires 5+ years of software development (Python, JavaScript/TypeScript), strong React and API development skills, MCP experience, and expertise in authentication/authorization/RBAC and secure coding practices. The role spans full lifecycle work from architecture to production support, plus mentoring other engineers, and is fully remote with upper-intermediate English required.

# Senior Agentic AI Engineer
Client: Bloomberg
About the role
We are looking for a Senior Agentic AI Engineer to build secure enterprise applications and agentic workflows that connect AI agents to enterprise data and tools.
The mandatory requirements are 5+ years of software development experience, authentication, authorization, RBAC, and secure coding practices, MCP experience, and an upper-intermediate English level.
Must haves
•Bachelor's in CS/Software Engineering/related STEM (or Bachelor's + Master's/higher in STEM)
•5+ years software development experience (or equivalent demonstrated skill)
•5+ years with Python, JavaScript/TypeScript, or comparable languages
•Strong React, API development, application architecture, automated testing, CI/CD
•Experience building AI-assisted apps, agentic workflows, or tool-calling solutions
•Experience with MCP, structured outputs, context management, or comparable frameworks
•Experience with auth/authz, RBAC, and secure coding practices
•Full lifecycle experience: requirements → architecture → deployment → production support
•Upper-intermediate English level
Nice to haves
•Databricks, Unity Catalog, Data Lake, or comparable
•GitLab CI/CD or comparable
•Policy-as-code, infrastructure-as-code, configuration-driven platforms
•Experience building data marketplaces, governance platforms, or internal developer platforms
•Familiarity with privacy/security/regulatory/AI governance controls
•Experience in regulated or risk-sensitive environments
What you will do
•Architect and develop secure enterprise applications (React, TypeScript, Python, API services)
•Build agentic workflows and MCP-based integrations connecting AI applications to enterprise data/tools
•Implement structured outputs, workflow state management, human-approval steps, and error recovery
•Build authentication, authorization, RBAC, and audit logging
•Implement AI evaluation, guardrails, tracing, and monitoring (quality/safety/performance/cost)
•Partner with domain experts and PMs to translate requirements into scalable solutions
•Design reusable, configuration-driven components for cross-team use
•Own production-quality code, tests, and documentation
•Mentor other engineers; guide technical direction across teams
Perks
•Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
•Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
•Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
•Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
•Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
•Well-being & support: access local well-being programs and people-focused support tailored to your location

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