Role:Principal Python GenAI Engineer
Location:NJ
Need local Candidate only
Interview :Final round F2F
Contract
w2 only
We are seeking a highly experienced Principal Engineer – GenAI with proven experience in software development and system maintenance. The ideal candidate will have a strong background in N-tiered applications, multi-tier architecture, and scalable system design while leveraging GenAI technologies to develop innovative solutions.
Responsibilities
• Accountable for leading application development supporting business objectives while demonstrating independence in software development lifecycle phases from concept and design to testing.
• Lead new and existing applications along with enhancements to applications and infrastructure.
• Perform hands-on coding while designing and architecting data processing and analytics solutions.
• Serve as a liaison to internal customers, research groups and various business support areas.
• Provides technical guidance to junior programmers and other software engineers.
• Ability to troubleshoot and maintain mid-level to complex applications .
Qualifications
• 8+ years of proven experience in software development and system maintenance.
• Lead the implementation of GenAI systems, ensuring they are robust, secure, and performant is must.
• Leverage advanced knowledge of Python open-source software stack such as FastAPI, Flask, Django, and Django REST Framework.
• Ability to learn and adapt to continuously changing technology.
• Should have AWS experience preferably.
• Demonstrated experience with N-tiered applications and multi-tier architecture.
• Highly experienced at developing elegant-yet-simple systems using best practices and design patterns.
• Highly experienced with multi-threading, memory management, networking, I/O concepts, and performance aspects of common classes and algorithms.
• Develop and design scalable and efficient GenAI solutions tailored to our requirements
• Experience building and deploying AI agents using AWS Strands Agents and AWS Bedrock AgentCore.
• Strong understanding of Agentic AI concepts including tool orchestration, callback handlers, memory management, and multi-agent workflows.
• Understanding of Responsible AI practices including AI guardrails, hallucination mitigation, prompt security.
• Design, develop, and deploy GenAI solutions using AWS Bedrock services, including model selection, fine-tuning, and integration with enterprise applications.
• Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases.
• Experience working on all aspects of enterprise-scale implementation for AI/GenAI solutions, including architecture, design, security, infrastructure, MLOps/GenAIOps
• Highly experienced at leading teams, interacting with business partners or customers, and guiding project direction.
• Excellent understanding of object-oriented design concepts and software development processes and methods.
• Superior organization skills, skilled at recognizing priorities and keeping a team focused most important features.
• Must have passion for development and latest technologies.
• Leadership and ability to guide design and technical meetings.
• Demonstrated ability to work independently with minimal supervision.
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