Live opening · Posted 2 days ago

Full stack Python developer with AI || Pune/Mumbai/Chennai || Hybrid || Fulltime permanent

AceStack · Mumbai, Maharashtra, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 2 days ago
CompanyAceStack
LocationMumbai, Maharashtra, India (On-site)
Work modeNo
SourceLinkedin
Listed2 days ago

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About the role

Description supplied by the original job listing.

Full stack Python developer with AI
Pune/Mumbai/Chennai
Hybrid
Fulltime permanent
Responsibilities
Design and implement end-to-end features spanning Angular frontend, LoopbackJS backend, and PostgreSQL database
Lead LangChain and Python integration for AI-driven features and intelligent processing pipelines
Architect scalable solutions with focus on performance, security, and maintainability
Drive code quality through design reviews and mentorship
Leverage AI-assisted development tools to accelerate delivery and quality
Contribute to technical strategy and evaluate emerging technologies
Required Experience
6+ years full-stack development (each with Angular, LoopbackJS/TypeScript, and PostgreSQL)
Proven ability to architect and deliver complex features end-to-end
Strong foundation in RESTful API design, asynchronous patterns, and database optimization
Experience with performance tuning, query optimization, and data modeling
Demonstrated ability to mentor and lead technical discussions
Familiarity with Python ecosystems and AI/ML frameworksFull Stack Prompt Engineering & AI-Assisted Development (Required)
Advanced proficiency with AI development tools (GitHub Copilot, DROID, Claude, or similar)
Expert ability to craft structured, context-rich prompts for high-quality code generation, design, documentation, and testing
Skilled at macro-level prompt engineering to decompose business requirements, generate solution approaches, and accelerate feature delivery
Experienced leveraging AI to understand large codebases, identify defects, recommend enhancements, and accelerate onboarding
Proficient across AI-assisted coding, testing, debugging, refactoring, code reviews, and documentation
Strong judgment in validating and refining AI-generated outputs against enterprise architecture, security, scalability, and coding standards
Demonstrated ability to rapidly transform concepts and requirements into production-ready solutions using AI-enabled practices
Sound engineering mindset that balances AI recommendations with software engineering best practices

Work arrangement
No

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