Staff Engineer (AI & Engineering)

Translate use cases into clear, implementable system designs

Make architecture decisions that balance:

Speed of delivery

Scalability and reliability

Cost and operational efficiency

Define patterns for:

API-first integrations

AI orchestration and workflows

Reusable services and components

Ensure systems are simple enough to build quickly , but structured enough to scale

Embed LLM capabilities into products, internal tools, and business processes

Build and maintain APIs and system integrations

Implement agent workflows and orchestration logic that solve real operational problems

Optimize systems for performance, resilience, and cost efficiency

Work directly with stakeholders to understand problems and validate solutions

Translate requirements into working software quickly (days/weeks, not months)

Iterate based on feedback and usage to drive measurable impact

Build and contribute to shared libraries, templates, and services

Establish practical patterns based on real implementations

Help evolve internal platforms through code and working solutions , not just design artifacts

Implement secure and reliable AI solutions in practice , including:

Prompt safety and validation

Injection/misuse prevention

Observability and traceability

Align implementations with enterprise security, privacy, and compliance requirements

Cloud & Platform: Microsoft ecosystem (Azure)

AI Models: Claude and other enterprise-approved LLMs

Architecture Style: API-first, event-driven, and modular services

Core Focus:

AI application engineering

Orchestration and agent workflows

Enterprise integrations

8+ years of software engineering experience building and delivering scalable, production-grade applications and platforms.Demonstrated success leading complex technical initiatives from design through deployment and ongoing operations.Strong engineering fundamentals with the ability to influence technical direction across teams and organizations.

Deep expertise in designing scalable, resilient, and maintainable software architectures.

Experience making trade-offs across:

delivery speed vs scalability

simplicity vs flexibility

Can move fluidly between coding and design thinking

3+ years of hands-on experience building and deploying AI/Generative AI solutions in production environments.

Strong understanding of:

Prompt design and evaluation

Agent-based workflows and orchestration

Integrating AI into production systems

Ability to debug, tune, and improve AI behavior in code