The ad says“Experience building and deploying agentic applications in production”
The ad says“Integrate with Azure and its AI services for document intelligence, blob storage, and cloud infrastructure”
The ad says“Proficient with AI-assisted Engineering (we use Claude Code)”
The ad says“Experience with document processing technologies”
The ad says“Experience with testing strategies (unit, integration, E2E) and a quality-first mindset”
The ad says“Build and maintain production APIs and services in a Python monorepo (FastAPI, Pydantic AI, MongoDB)”
The ad says“Experience building and deploying GenAI-based applications”
The ad says“Diagnose complex issues across services and use operational data (MLflow, Grafana) to drive stability improvements”
The ad says“Experience with testing strategies (unit, integration, E2E) and a quality-first mindset”
The ad says“Diagnose complex issues across services and use operational data (MLflow, Grafana) to drive stability improvements”
The ad says“Build and maintain production APIs and services in a Python monorepo (FastAPI, Pydantic AI, MongoDB)”
The ad says“Experience with observability tools”
The ad says“Implement security controls aligned with OWASP GenAI security protocols”
The ad says“Build and maintain production APIs and services in a Python monorepo (FastAPI, Pydantic AI, MongoDB)”
The ad says“7+ years in software engineering, with strong proficiency in Python, its eco-system and tooling”
The ad says“Contribute to the React chat interface that provides an interactive experience for users”
The ad says“Strong fundamentals of software architecture and system design”
The ad says“Strong fundamentals of software architecture and system design”
The ad says“Experience with testing strategies (unit, integration, E2E) and a quality-first mindset”
We are looking for a Senior Software Engineer to join the AI Agents Team at DataSnipper. You will build the intelligence layer that orchestrates the full assurance lifecycle from risk assessment to control testing, evidence gathering, and documentation generation, directly reducing manual effort and accelerating audit outcomes for our customers
This is a hands-on engineering role in a high-caliber team that moves fast and holds a high bar. You will design and implement AI-powered agents, drive architectural decisions and help shape the future of automated assurance
Design and implement AI-powered agents that automate assurance workflows, analyzing Excel files and documents using natural language commands
Build and maintain production APIs and services in a Python monorepo (FastAPI, Pydantic AI, MongoDB)
Integrate with Azure and its AI services for document intelligence, blob storage, and cloud infrastructure
Contribute to the React chat interface that provides an interactive experience for users
Implement security controls aligned with OWASP GenAI security protocols
Participate in an on-call rotation (second line after SRE and tech support)
Architect services and systems using well-established design principles, anticipating future use cases
Produce robust, production-ready code that anticipates edge cases; review for correctness, design quality, and maintainability
Raise the engineering bar through technical mentorship, high-quality code reviews, and establishing best practices
Use quality metrics to identify gaps and recommend improvements aligned with testing frameworks
Diagnose complex issues across services and use operational data (MLflow, Grafana) to drive stability improvements
Break down epics, align team dependencies, and manage ambiguity for the team
Design solutions with product partners, refine team roadmap, and simplify technical approaches
Foster a culture of documentation and knowledge sharing within the team and with business stakeholders
Integrate AI tools into workflows, critically evaluate AI outputs, and contribute to team-level AI adoption
Preferred experience
Experience building and deploying GenAI-based applications
Proficient with AI-assisted Engineering (we use Claude Code)
Strong fundamentals of software architecture and system design
Experience with testing strategies (unit, integration, E2E) and a quality-first mindset
Solid experience building and maintaining data-driven Web APIs on any cloud platform
7+ years in software engineering, with strong proficiency in Python, its eco-system and tooling
Excellent communication and collaboration skills
Experience building and deploying agentic applications in production
