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IT Security Works
Principal Software Engineer – Applied AI, Technical Lead
Location
Greece
Posted
60 days ago
Salary
0
Seniority
Senior
Job Description
Principal Software Engineer – Applied AI, Technical Lead
CENSUS
• Own the reference architecture for LLM/AI features (service boundaries, APIs, data contracts, trust boundaries, deployment patterns) • Convert prototypes into production-ready services with clear interfaces, type/schema discipline, and controlled dependencies • Define versioning strategy for prompts, tools, policies, and model endpoints (including rollbacks) • Design and implement LLM pipelines for natural language → structured queries for database engines with guardrails • Implement schema-first output (e.g., Pydantic models / JSON schema) and robust parsing/validation • Own non-functional requirements: latency budgets, throughput, resilience, and cost control • Build observability: structured logs, traces, metrics, and error taxonomies that make failures actionable • Translate requirements from client stakeholders and internal security / engineering teams into robust AI-enabled solutions and data integrations • Act as the technical lead for Applied AI delivery: raise engineering bar, mentor DS/engineers, and drive code quality • Document solutions and participate in knowledge transfer with internal and partner teams.
Job Requirements
- BSc/MSc in Computer Science, Data Engineering, or a related field (or equivalent practical experience)
- 6+ years of software engineering experience , including technical leadership on production systems and AI-/ML-powered applications
- Track record of making architecture decisions and driving cross-team execution
- Strong Python engineering skills (services, tooling, testing) and experience building maintainable codebases
- Demonstrated experience shipping LLM/AI-enabled applications into production
- Proven ability to build robust APIs and services (FastAPI or equivalent)
- Experience with production reliability practices, including observability, incident response, performance tuning, and scalability
- Comfortable integrating with big data and analytics platforms
- Proven ability to define engineering standards and guide teams through architectural tradeoffs in ambiguous environments
- Excellent written and verbal communication in English; able to lead technical discussions with engineers and client stakeholders.
Benefits
- Professional development opportunities
- Flexible working arrangements
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