AI - Staff Engineer
5 days ago
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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