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AI - Staff Engineer @ Storable

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 AI - Staff Engineer

Job Description

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

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time

Contact Details:

Company: Storable
Location(s): Hyderabad

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Keyskills:   Performance tuning System architecture Backend RDBMS Postgresql MySQL System design Product design Unit testing Python

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