jobs
Working at Chima

We’re searching for obsessive individuals in generative AI who treat their work like a craft. If you want your work to be remembered and you have a burning desire to contribute to something big, we’d be thrilled to build alongside you.

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AI Applications Engineer

Chima is seeking highly skilled and experienced AI Application Engineers to join our team of world-class professionals. As an AI Application Engineer, you will be responsible for designing, developing, and deploying cutting-edge AI models that can generate complex and highly realistic data and content.

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Key Responsibilities

  1. Design and develop advanced generative models that can create highly realistic data and content, including text, images, and video.

  2. Conduct research and stay up-to-date with the latest advancements in generative AI, including techniques such as GANs, VAEs, and autoregressive models.

  3. Work closely with cross-functional teams to develop and implement generative AI models that can solve complex business problems and drive innovation.

  4. Collaborate with other AI engineers, data scientists, and machine learning experts to build end-to-end AI solutions that can be deployed at scale.

  5. Design and implement experiments to evaluate the performance of generative AI models, and use the results to continuously improve their accuracy and effectiveness.

  6. Document and communicate research findings, technical designs, and other relevant information to stakeholders across the organization.

Requirements

  1. Advanced degree (Ph.D. or equivalent) in Computer Science, Electrical Engineering, or a related field.

  2. 5+ years of experience in designing and developing generative AI models, including experience with GANs, VAEs, and autoregressive models.

  3. Strong programming skills in Python, C++, or other relevant programming languages.

  4. Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.

  5. Excellent problem-solving and analytical skills, with the ability to work independently and as part of a team.

  6. Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels of the organization.

  7. If you are a highly skilled and experienced AI Engineer with a passion for innovation and a track record of delivering cutting-edge AI solutions, we want to hear from you. Apply today and join our team of world-class professionals.

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Full Stack Engineer

The All-Star Full Stack Engineer will play a pivotal role in our team, spearheading the development and deployment of our applications across multiple platforms. You will not only bring your technical expertise but will also influence the direction of our technology stack, contribute to our architectural decisions, and drive the evolution of our digital products.

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Key Responsibilities

  1. Design, develop, and maintain both front-end and back-end components of our applications.

  2. Lead the integration of third-party services and APIs.

  3. Deploy applications on cloud infrastructure, ensuring scalability, performance, and security.

  4. Collaborate closely with product managers, UX/UI designers, and other engineers to ensure the delivery of outstanding digital experiences.

  5. Recommend and implement best practices in software development, ensuring robustness, scalability, and maintainability.

  6. Mentor junior developers, enhancing their skills and understanding of best practices.

  7. Stay updated with the latest industry trends, technologies, and best practices to ensure our technology stack remains cutting-edge.

  8. Participate in code reviews, design sessions, and architectural reviews.

Qualifications

  1. Bachelor's or Master's degree in Computer Science or a related field.

  2. Minimum of 5+ years experience in full-stack development.

  3. Proven experience for on premise deployment of models and architecture.

  4. Proficient in JavaScript, React, Node.js, etc.

  5. Strong experience with back-end development using SQL, NoSQL, etc.

  6. Proven experience deploying and managing applications on multiple cloud platforms like AWS, Azure, or GCP.

  7. Demonstrated ability to write clean, efficient, and modular code.

  8. Strong problem-solving skills, with a knack for tackling complex challenges.

  9. Excellent verbal and written communication skills.

  10. A passion for innovation and keeping abreast with the latest technological advancements.

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Infrastructure Engineer

As our AI Infrastructure Engineer, you will be at the heart of our AI model deployment, ensuring that our innovative solutions are effectively delivered on-premises for our clients. You will collaborate closely with our research and development teams, understanding their needs and ensuring our infrastructure supports them at every step.

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Key Responsibilities

  1. Architect, design, and deploy scalable and secure on-premises infrastructure tailored for generative AI models.

  2. Collaborate with AI engineers to understand specific computational and storage requirements of each model.

  3. Implement monitoring and maintenance systems to ensure models' seamless operation and swift response to any issues.

  4. Evaluate and recommend cutting-edge hardware and software tools that optimize AI model performance.

  5. Establish best practices for on-premises deployments, ensuring security, scalability, and reliability.

  6. Troubleshoot and resolve any infrastructure bottlenecks or challenges.

  7. Liaise with vendors and IT teams to ensure optimal infrastructure procurement and setup.

  8. Mentor and guide teams on the best practices related to AI infrastructure.

Qualifications

  1. Bachelor's or Master's degree in Computer Science, Engineering, or a related field with a focus on systems or infrastructure.

  2. A minimum of 5+ years of experience in AI/ML infrastructure roles.

  3. Deep expertise of on-premises infrastructure requirements, including server configurations, storage solutions, and networking.

  4. Hands-on experience with deploying complex AI models, particularly generative models, in on-premises environments.

  5. Familiarity with AI tools and platforms, such as TensorFlow, PyTorch, and Kubernetes.

  6. A deep understanding of security protocols relevant to AI deployments.

  7. Strong problem-solving skills and the ability to work in fast-paced, evolving environments.

  8. Excellent communication skills, both verbal and written.

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Enterprise Business Development Manager

Chima is seeking an experienced and results-driven Business Development Manager to join our team of experts in building cutting-edge generative AI solutions for global enterprises. As the Business Development Manager, you will be responsible for identifying and pursuing new business opportunities with Fortune 500 companies and other top-tier enterprises.

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Key Responsibilities

  1. Develop and implement a strategic plan to identify and engage with Fortune 500 companies and other top-tier enterprises that can benefit from our cutting-edge generative AI solutions.

  2. Build and maintain strong relationships with key decision-makers at target companies, including executives, directors, and procurement teams.

  3. Identify and pursue new business opportunities, including developing proposals, negotiating contracts, and closing deals.

  4. Collaborate with cross-functional teams, including product, engineering, and marketing, to develop and implement go-to-market strategies that drive revenue growth.

  5. Attend industry events and conferences to network with key stakeholders and build brand awareness.

  6. Monitor industry trends and competitive landscape to identify new business opportunities and stay ahead of market developments.

Requirements

  1. Bachelor's degree in Business Administration, Marketing or Computer Science, or a related field.

  2. 7+ years of experience in business development, sales, or account management, with a proven track record of success in building relationships with Fortune 500 companies and other top-tier enterprises.

  3. Strong understanding of generative AI technologies, with experience in selling generative AI solutions or other advanced AI technologies.

  4. Excellent communication and interpersonal skills, with the ability to build and maintain relationships with key stakeholders at all levels of the organization.

  5. Excellent problem-solving and analytical skills, with the ability to work independently and as part of a team.

  6. Strong negotiation and contract management skills, with the ability to drive deals to successful completion.

  7. Analytical and strategic thinking skills, with the ability to identify new business opportunities and develop effective go-to-market strategies.

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Applied AI Researcher

Chima is looking for an experienced Applied AI Researcher to join our team. The ideal candidate will have a strong background in machine learning, deep learning, natural language processing, and computer vision, and will be passionate about developing and applying AI models to real-world problems. As an Applied AI Researcher, you will be responsible for conducting research, developing prototypes, and collaborating with cross-functional teams to deliver AI-powered solutions.

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Key Responsibilities

  1. Conduct research in machine learning, deep learning, natural language processing, and computer vision.

  2. Develop and train AI models to solve real-world problems.

  3. Collaborate with cross-functional teams to integrate AI models into products and services.

  4. Design and implement experiments to evaluate the performance of AI models.

  5. Explore new research directions and stay up-to-date with the latest advancements in AI technology.

  6. Communicate research findings and technical insights to both technical and non-technical stakeholders.

  7. Publish research papers in top-tier conferences and journals.

Qualifications

  1. PhD in Computer Science, Electrical Engineering, or a related field.

  2. Strong expertise in machine learning, deep learning, natural language processing, and computer vision.

  3. Proven track record of developing and applying AI models to real-world problems.

  4. Experience with one or more deep learning frameworks such as TensorFlow, PyTorch, or Keras.

  5. Strong programming skills in Python, Java, or C++.

  6. Excellent problem-solving and analytical skills.

  7. Strong verbal and written communication skills.

  8. Ability to work independently and in a team environment.

  9. Track record of publishing research papers in top-tier conferences and journals.