AI - Staff Engineer, Raniganj

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 securityLeverage  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 forclean, testable codeGuide 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 goalsMentor 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 servicesExperience 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 ownershipPreferred 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