AI - Staff Engineer

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