AI - Staff Engineer

2 days ago

Hyderabad, Telangana, India Storable Full time ₹ 12,00,000 - ₹ 36,00,000 per year
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
  • 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, (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

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