Position: Gen AI Engineer
Location: East Brunswick NJ/Phoenix AZ***Day 1 Onsite***
Gen AI Engineer
Role/Responsibilities
- Minimum 8 years of hands-on experience in software engineering with at least 3 years in a leadership role managing cross-functional teams.
- Architect and design complex systems that integrate GenAI applications machine learning models and cloud infrastructure.
- Lead and manage a diverse cross-functional team of engineers ensuring the delivery of high-quality scalable solutions.
- Engage in hands-on coding technical design and problem-solving to drive innovation and excellence.
- Make critical architectural decisions to optimize performance scalability and reliability of systems.
- Collaborate with stakeholders to align technological solutions with business objectives.
- Stay updated with emerging technologies and industry best practices to ensure continuous improvement.
- Proficiency in designing and developing large-scale systems including GenAI API architectures data systems and cloud-native applications.
- Strong programming skills in Python JavaScript Java or other backend languages.
- Experience with API development (RESTful APIs GraphQL).
- Extensive experience in building and deploying ML models using TensorFlow PyTorch scikit-learn and spaCy.
- Strong leadership and team management skills with excellent problem-solving abilities and effective communication skills.
Qualifications & Experience
Minimum Requirements
- Hands-on experience in GCP Data Engineering or DevOps is highly advantageous.
- Familiarity with industry best practices and emerging technologies in AI and machine learning.
Academic qualifications/Level of Education
- Undergraduate / Associate level degree / diploma from an accredited institution in Computer Science / Statistics / Applied Mathematics / EE / Electronics or any equivalent technical field of study. Applications are also invited from candidates with major in Software Engineering / Information Technology / Management Information Systems.
Desired Skills/Qualifications
- Gen AI LLMs RAG vector databases and conversational bots
- API Development
- Playbooks (required)
- GCP and Data Engineering (required)
- ADK (required)
- LangChain and LangGraph
- Vertex AI
- Machine Learning Models
- Contact Center industry experience
Position: Gen AI Engineer Location: East Brunswick NJ/Phoenix AZ***Day 1 Onsite*** Gen AI Engineer Role/Responsibilities Minimum 8 years of hands-on experience in software engineering with at least 3 years in a leadership role managing cross-functional teams. Architect and design complex systems t...
Position: Gen AI Engineer
Location: East Brunswick NJ/Phoenix AZ***Day 1 Onsite***
Gen AI Engineer
Role/Responsibilities
- Minimum 8 years of hands-on experience in software engineering with at least 3 years in a leadership role managing cross-functional teams.
- Architect and design complex systems that integrate GenAI applications machine learning models and cloud infrastructure.
- Lead and manage a diverse cross-functional team of engineers ensuring the delivery of high-quality scalable solutions.
- Engage in hands-on coding technical design and problem-solving to drive innovation and excellence.
- Make critical architectural decisions to optimize performance scalability and reliability of systems.
- Collaborate with stakeholders to align technological solutions with business objectives.
- Stay updated with emerging technologies and industry best practices to ensure continuous improvement.
- Proficiency in designing and developing large-scale systems including GenAI API architectures data systems and cloud-native applications.
- Strong programming skills in Python JavaScript Java or other backend languages.
- Experience with API development (RESTful APIs GraphQL).
- Extensive experience in building and deploying ML models using TensorFlow PyTorch scikit-learn and spaCy.
- Strong leadership and team management skills with excellent problem-solving abilities and effective communication skills.
Qualifications & Experience
Minimum Requirements
- Hands-on experience in GCP Data Engineering or DevOps is highly advantageous.
- Familiarity with industry best practices and emerging technologies in AI and machine learning.
Academic qualifications/Level of Education
- Undergraduate / Associate level degree / diploma from an accredited institution in Computer Science / Statistics / Applied Mathematics / EE / Electronics or any equivalent technical field of study. Applications are also invited from candidates with major in Software Engineering / Information Technology / Management Information Systems.
Desired Skills/Qualifications
- Gen AI LLMs RAG vector databases and conversational bots
- API Development
- Playbooks (required)
- GCP and Data Engineering (required)
- ADK (required)
- LangChain and LangGraph
- Vertex AI
- Machine Learning Models
- Contact Center industry experience
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