EverAI is hiring a Tech Lead, LLM & Generative AI

About the Role

The Lead Engineer, LLM & Generative AI will be responsible for leading a team of engineers in developing and implementing large language models and generative AI technologies. This role involves designing and optimizing AI systems, collaborating with cross-functional teams, and ensuring the delivery of high-quality products.

Responsibilities

• Direct the development and implementation of large language models and generative AI technologies.
• Design and optimize AI systems for enhanced performance and scalability.
• Collaborate with cross-functional teams, including data scientists, engineers, and product managers.
• Ensure the delivery of high-quality products that meet business and technical requirements.
• Stay updated with the latest advancements in AI and machine learning.
• Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.
• Conduct code reviews and ensure adherence to best practices and coding standards.
• Develop and maintain technical documentation and specifications.
• Identify and address technical challenges and bottlenecks in AI systems.
• Participate in the recruitment and onboarding of new team members.
• Contribute to the development of AI strategies and roadmaps.
• Work closely with stakeholders to understand business needs and translate them into technical solutions.
• Implement and manage AI infrastructure and tools.
• Ensure the security and compliance of AI systems and data.
• Provide technical leadership and expertise in AI projects.
• Conduct research and experiments to improve AI models and algorithms.
• Collaborate with external partners and vendors on AI initiatives.
• Develop and implement AI testing and validation frameworks.
• Monitor and analyze AI system performance and metrics.
• Provide technical support and troubleshooting for AI-related issues.
• Contribute to the development of AI training programs and materials.
• Participate in AI conferences, workshops, and seminars.
• Stay updated with industry trends and best practices in AI and machine learning.

Nice to Have

• Master's or PhD in Computer Science, AI, or a related field.
• Experience in natural language processing (NLP) and computer vision.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
• Experience in AI ethics and responsible AI practices.
• Knowledge of AI deployment and scaling strategies.
• Experience in AI model optimization and performance tuning.
• Familiarity with AI data management and governance.
• Experience in AI project management and agile methodologies.
• Knowledge of AI regulatory and compliance requirements.
• Experience in AI customer support and user engagement.
• Familiarity with AI open-source communities and contributions.
• Experience in AI product development and lifecycle management.
• Knowledge of AI competitive analysis and market trends.
• Experience in AI innovation and disruptive technologies.
• Familiarity with AI intellectual property and patent strategies.
• Experience in AI collaboration and partnership strategies.
• Knowledge of AI ethical considerations and societal impacts.
• Experience in AI research publications and presentations.
• Familiarity with AI industry standards and best practices.
• Experience in AI data privacy and security measures.

Compensation

Competitive salary and equity

Work Arrangement

Hybrid

Team

Collaborative and innovative team focused on AI advancements

What You'll Bring

• A strong background in AI and machine learning, with a focus on large language models and generative AI technologies.
• Proven leadership experience in managing and mentoring engineering teams.
• Excellent problem-solving skills and the ability to think analytically.
• Strong communication and teamwork abilities, with the capacity to collaborate effectively with cross-functional teams.
• A passion for staying updated with the latest advancements in AI and machine learning.
• Experience in developing and implementing AI systems and technologies.
• Knowledge of AI infrastructure and tools, as well as AI testing and validation frameworks.
• Familiarity with AI security and compliance standards, as well as AI performance metrics and analysis.
• The ability to work in a fast-paced and dynamic environment, with strong leadership and project management skills.
• Experience in AI strategy and roadmap development, as well as AI training programs and materials development.

What You'll Do

• Lead the development and implementation of large language models and generative AI technologies.
• Design and optimize AI systems for enhanced performance and scalability.
• Collaborate with cross-functional teams, including data scientists, engineers, and product managers.
• Ensure the delivery of high-quality products that meet business and technical requirements.
• Stay updated with the latest advancements in AI and machine learning.
• Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.
• Conduct code reviews and ensure adherence to best practices and coding standards.
• Develop and maintain technical documentation and specifications.
• Identify and address technical challenges and bottlenecks in AI systems.
• Participate in the recruitment and onboarding of new team members.
• Contribute to the development of AI strategies and roadmaps.
• Work closely with stakeholders to understand business needs and translate them into technical solutions.
• Implement and manage AI infrastructure and tools.
• Ensure the security and compliance of AI systems and data.
• Provide technical leadership and expertise in AI projects.
• Conduct research and experiments to improve AI models and algorithms.
• Collaborate with external partners and vendors on AI initiatives.
• Develop and implement AI testing and validation frameworks.
• Monitor and analyze AI system performance and metrics.
• Provide technical support and troubleshooting for AI-related issues.
• Contribute to the development of AI training programs and materials.
• Participate in AI conferences, workshops, and seminars.
• Stay updated with industry trends and best practices in AI and machine learning.

Our Team

• A collaborative and innovative team focused on AI advancements.
• A dynamic and fast-paced work environment.
• Opportunities for professional growth and development.
• A culture of continuous learning and improvement.
• A commitment to staying updated with the latest advancements in AI and machine learning.
• A focus on delivering high-quality products that meet business and technical requirements.
• A collaborative and team-oriented work environment.
• A commitment to mentoring and guiding junior engineers.
• A focus on staying updated with the latest advancements in AI and machine learning.
• A commitment to delivering high-quality products that meet business and technical requirements.

Our Culture

• A collaborative and innovative team focused on AI advancements.
• A dynamic and fast-paced work environment.
• Opportunities for professional growth and development.
• A culture of continuous learning and improvement.
• A commitment to staying updated with the latest advancements in AI and machine learning.
• A focus on delivering high-quality products that meet business and technical requirements.
• A collaborative and team-oriented work environment.
• A commitment to mentoring and guiding junior engineers.
• A focus on staying updated with the latest advancements in AI and machine learning.
• A commitment to delivering high-quality products that meet business and technical requirements.

Our Benefits

• Competitive salary and equity.
• Hybrid work arrangement.
• A collaborative and innovative team focused on AI advancements.
• A dynamic and fast-paced work environment.
• Opportunities for professional growth and development.
• A culture of continuous learning and improvement.
• A commitment to staying updated with the latest advancements in AI and machine learning.
• A focus on delivering high-quality products that meet business and technical requirements.
• A collaborative and team-oriented work environment.
• A commitment to mentoring and guiding junior engineers.

How to Apply

• Submit your resume and cover letter through our online application portal.
• Include relevant experience and skills in your application.
• Highlight your leadership and project management experience.
• Demonstrate your expertise in AI and machine learning.
• Showcase your problem-solving skills and analytical thinking.
• Explain your passion for staying updated with the latest advancements in AI and machine learning.
• Describe your experience in developing and implementing AI systems and technologies.
• Mention your knowledge of AI infrastructure and tools, as well as AI testing and validation frameworks.
• Include your familiarity with AI security and compliance standards, as well as AI performance metrics and analysis.
• Explain your ability to work in a fast-paced and dynamic environment, with strong leadership and project management skills.

Equal Opportunity Employer

• We are an equal opportunity employer and welcome applicants from all backgrounds.
• We do not discriminate based on race, color, religion, sex, national origin, age, disability, or any other protected characteristic.
• We are committed to creating a diverse and inclusive work environment.
• We encourage applicants from underrepresented groups to apply.
• We provide reasonable accommodations for individuals with disabilities during the application and hiring process.
• We are committed to providing equal employment opportunities to all qualified individuals.
• We encourage applicants to self-identify as members of underrepresented groups.
• We are committed to promoting diversity, equity, and inclusion in the workplace.
• We provide equal employment opportunities to all qualified individuals, regardless of their background or characteristics.
• We are committed to creating a work environment that values and respects diversity and inclusion.

About Us

• We are a leading company in the AI industry, focused on developing innovative AI technologies.
• We are committed to staying updated with the latest advancements in AI and machine learning.
• We have a collaborative and innovative team focused on AI advancements.
• We offer a dynamic and fast-paced work environment with opportunities for professional growth and development.
• We have a culture of continuous learning and improvement, with a focus on delivering high-quality products that meet business and technical requirements.
• We are committed to mentoring and guiding junior engineers, fostering a culture of continuous learning and improvement.
• We are dedicated to providing equal employment opportunities to all qualified individuals, regardless of their background or characteristics.
• We are committed to promoting diversity, equity, and inclusion in the workplace.
• We are a leading company in the AI industry, focused on developing innovative AI technologies.
• We are committed to staying updated with the latest advancements in AI and machine learning.

Our Mission

• To develop innovative AI technologies that drive advancements in the industry.
• To stay updated with the latest advancements in AI and machine learning.
• To foster a culture of continuous learning and improvement.
• To deliver high-quality products that meet business and technical requirements.
• To promote diversity, equity, and inclusion in the workplace.
• To provide equal employment opportunities to all qualified individuals.
• To create a collaborative and innovative team focused on AI advancements.
• To offer a dynamic and fast-paced work environment with opportunities for professional growth and development.
• To mentor and guide junior engineers, fostering a culture of continuous learning and improvement.
• To stay updated with the latest advancements in AI and machine learning.

Our Values

• Innovation and creativity in AI technologies.
• Continuous learning and improvement.
• Collaboration and teamwork.
• Diversity, equity, and inclusion.
• High-quality product delivery.
• Staying updated with the latest advancements in AI and machine learning.
• Mentoring and guiding junior engineers.
• Promoting equal employment opportunities.
• Fostering a culture of continuous learning and improvement.
• Creating a collaborative and innovative team focused on AI advancements.

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