

Nallas Corporation
Principal GenAI Engineer (Hybrid)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal GenAI Engineer in Jersey City, NJ, offering a hybrid work arrangement. Contract length and pay rate are unspecified. Candidates must have 8+ years in software development, AWS experience, and expertise in Python frameworks and GenAI solutions.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
June 6, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Jersey City, NJ
-
🧠 - Skills detailed
#Scala #FastAPI #Python #AI (Artificial Intelligence) #REST (Representational State Transfer) #Security #AWS (Amazon Web Services) #Django #Flask #Databases #Leadership
Role description
Principal GenAI Engineer
Jersey City, NJ
Hybrid
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.
Principal GenAI Engineer
Jersey City, NJ
Hybrid
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.






