What are the responsibilities and job description for the GenAI Lead position at Lorven Technologies Inc.?
GenAI Lead / Senior AI Engineer
Location: Edison, NJ (Onsite)
Job Type: Full-Time
Salary: DOE
About the Opportunity
We are seeking a highly motivated GenAI Lead / Senior AI Engineer to join the growing AI team. This is a hands-on role focused on building next-generation AI-powered applications, conversational AI solutions, and agentic AI systems. The ideal candidate will possess strong technical expertise in Generative AI, AWS cloud architecture, and scalable backend development.
Key Responsibilities
- Design, develop, and deploy AI-powered applications, including chatbots, voice AI solutions, and intelligent automation systems.
- Lead the development and implementation of agentic AI workflows and autonomous AI systems.
- Build scalable backend services, APIs, and microservices supporting AI applications.
- Design and deploy cloud-native solutions on AWS.
- Collaborate with product managers, engineers, and business stakeholders to deliver innovative AI solutions.
- Optimize AI systems for performance, scalability, reliability, and security.
- Stay current with emerging AI technologies and industry best practices.
Required Skills & Experience
Generative AI & Agentic AI
- Strong understanding of Conversational AI and chatbot development.
- Hands-on experience building Generative AI applications and agentic AI systems.
- Experience developing multi-step AI workflows, tool integrations, and intelligent automation.
- Familiarity with voice AI technologies (Speech-to-Text and Text-to-Speech).
- Exposure to image generation and multimodal AI concepts.
Programming & Backend Development
- Strong programming skills in Python or Node.js.
- Experience building scalable APIs, backend services, and microservices.
- Solid understanding of software engineering best practices and system design.
AWS & Cloud Architecture
- Hands-on experience designing and deploying solutions on AWS.
- Expertise with:
- ECS / EKS
- AWS Lambda
- API Gateway
- S3
- DynamoDB
- RDS
- Experience designing scalable, secure, and cost-efficient cloud architectures.
Qualifications
- 5–10 years of software engineering experience.
- 2 years of hands-on Generative AI experience.
- Proven experience delivering production-grade AI applications.
- Strong problem-solving, communication, and collaboration skills.
- Ability to work independently and lead technical initiatives.
How to Apply
Interested candidates should submit:
- Updated Resume
- Brief summary highlighting relevant Generative AI and AWS experience
- Examples of AI-powered applications, chatbots, automation systems, or agentic AI solutions developed