We are looking for a Staff Engineer to lead the design, development, and optimization of AI-powered platforms with a strong focus on Python, API development, and AWS AI services. You will be instrumental in shaping system architecture, mentoring engineers, and driving end-to-end solutions that leverage NLP, cloud services, and modern frontend frameworks.
As a Staff Engineer, you’ll be a key technical leader partnering closely with product, design, and engineering teams to build scalable and intelligent systems.Key Responsibilities:
- Architect and build scalable, high-performance backend systems using Python
- Design robust RESTful APIs and guide the engineering team on best practices for performance and security
- Leverage AWS AI/ML services (e.g., Comprehend, Lex, SageMaker) to build intelligent features and capabilities
- Provide technical leadership on NLP solutions using libraries such as spaCy, transformers, or NLTK
- Ensure comprehensive unit testing across APIs and databases; advocate for clean, testable code
- Guide the development of full-stack features involving JavaScript, React, and Next.js
- Own and evolve system architecture, ensuring modularity, scalability, and resilience
- Promote strong engineering practices with Git, Bitbucket, and CI/CD tooling
- Collaborate cross-functionally to drive technical decisions aligned with product goals
- Mentor engineers across levels and foster a culture of technical excellence
Technical Requirements:
- 8+ years of hands-on software development experience, primarily in Python
- Proven expertise in API development, system design, and performance tuning
- Strong background in AWS, particularly AI/ML and NLP services
- Experience building intelligent features using NLP frameworks
- Proficiency in front-end technologies: JavaScript, React, Next.js (preferred)
- Solid understanding of RDBMS (PostgreSQL, MySQL or similar)
- Expert in version control systems and collaborative workflows
- Track record of technical leadership, mentoring, and architectural ownership
Preferred Qualifications:
- Experience with microservices, event-driven architectures, or serverless systems
- Familiarity with Docker, Kubernetes, and infrastructure-as-code tools
- Prior experience in leading cross-functional engineering initiatives
