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.

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.

Principal Software Engineer – Applied AI, Technical Lead

Key skills