GenAI Developer (Contract – Onsite – Concord, CA)

GenAI Developer (Contract – Onsite – Concord, CA)

A pioneering technology sector client is actively seeking an innovative GenAI Developer to join their dynamic team. This contract position, based onsite in Concord, California, is crucial for supporting cutting-edge projects in generative AI. The ideal candidate will possess strong analytical skills, excellent problem-solving abilities, and a collaborative mindset, all essential for successfully aligning with the organization’s goals and driving the future of artificial intelligence.

What You’ll Be Doing: Building the Future with Generative AI

As a GenAI Developer, you’ll be at the forefront of designing, developing, and deploying advanced Artificial Intelligence applications, specifically leveraging Generative AI models. Your work is critical in translating groundbreaking AI research into real-world solutions that drive technological innovation.

• Develop and Deploy Generative AI Models: You’ll be responsible for meticulously developing and deploying generative AI (GenAI) models. This includes working extensively with Large Language Models (LLMs) to create intelligent, context-aware applications. You’ll also integrate and develop solutions utilizing vector databases for efficient similarity search and information retrieval, and leverage embedding models to represent complex data in a machine-readable format. Your contributions will enable sophisticated AI capabilities that can generate content, automate tasks, and interact intelligently.
• Implement Machine Learning and Deep Learning Frameworks: You’ll be hands-on in the implementation of industry-leading machine learning and deep learning frameworks. This includes proficiency with Scikit-learn for traditional ML, Spark ML for distributed machine learning, and deep learning frameworks like TensorFlow and Keras for building and training complex neural networks. Your expertise ensures the efficient and effective development of AI models.
• Manage MLOps Processes with AWS SageMaker: You will play a crucial role in managing MLOps (Machine Learning Operations) processes. This encompasses the full lifecycle of AI models, from their initial development and rigorous testing to seamless deployment into production. You’ll leverage tools and services like AWS SageMaker for streamlined model building, training, tuning, and deployment, ensuring scalability, reliability, and continuous delivery of AI solutions.
• Build Scalable Distributed Systems and Optimize Performance: You will be instrumental in building scalable distributed systems that underpin AI applications. This involves designing architectures that can handle large datasets and high computational demands. You’ll also focus on optimizing performance for Python and Java applications, ensuring that AI models and supporting services execute efficiently and reliably, even under heavy loads.
• Lead and Mentor Teams in AI Project Delivery: As a GenAI Developer, you’ll also take on a leadership role, actively leading and mentoring teams to achieve outstanding results in AI project delivery. This involves sharing your technical expertise, providing guidance on best practices, fostering a collaborative environment, and helping team members grow their skills in the dynamic field of AI.

What’s Needed: Your Foundational Skills for AI Development

To excel as a GenAI Developer, you’ll need strong programming skills across multiple languages, experience with diverse data technologies, and familiarity with cloud platforms and DevOps tools.

• Proficiency in Multiple Programming and Scripting Languages: You must demonstrate proficiency in Python, Java, Scala, R, and Shell scripting. This versatile skill set allows you to contribute to various components across the AI/ML stack, from backend services and data processing to model development and automation scripts.
• Experience with Data Analytics Tools: You must have hands-on experience with data analytics tools such as Pandas and a broader understanding of the Python data ecosystem (e.g., NumPy, Matplotlib, SciPy). This indicates your ability to manipulate, analyze, and visualize large datasets effectively, which is fundamental for AI model training and evaluation.
• Familiarity with Multiple Cloud Platforms: You are required to have familiarity with major cloud platforms, including AWS (Amazon Web Services), Google Cloud (GCP), and Azure (Microsoft Azure). This indicates a conceptual understanding of cloud services and architectures relevant to deploying and managing AI workloads in a hybrid or multi-cloud environment.
• Knowledge of Various Datastores: You must possess knowledge of various datastores, encompassing both NoSQL databases (like HBase and Cassandra for scalable, non-relational data storage) and SQL databases (such as Postgres and MySQL for relational data management). This broad database knowledge is crucial for handling diverse data types used in AI applications.
• Experience with DevOps Tools: You must have practical experience with DevOps tools like Docker (for containerization), Kubernetes (for container orchestration), Ansible (for configuration management and automation), and Terraform (for Infrastructure as Code). This proficiency is vital for building automated CI/CD pipelines and managing scalable AI infrastructure.

What’s In It For You: Groundbreaking Projects and Professional Growth

This contract GenAI Developer position in Concord, CA, offers a compelling environment for professional growth and significant impact within a leading technology innovation organization.

• Opportunity to Work on Groundbreaking AI Technologies: You’ll have the invaluable opportunity to work on groundbreaking AI technologies, directly contributing to cutting-edge projects in generative AI. This ensures continuous exposure to the latest advancements and keeps your skills at the forefront of the industry.
• Collaborative and Inclusive Work Environment: You will join a highly collaborative and inclusive work environment where teamwork is highly valued, and diverse perspectives are celebrated. This fosters an atmosphere of open communication, knowledge sharing, and mutual support, allowing you to learn from varied backgrounds and contribute your unique insights.
• Professional Development and Growth Opportunities: The organization is deeply committed to your professional development and growth. This means access to continuous learning resources, opportunities to explore new AI/ML technologies, specialized training, and mentorship from industry experts, ensuring a clear pathway for career advancement in AI.
• Engagement in Innovative Projects: You will be deeply engaged in innovative projects that directly shape the future of technology. Your contributions to generative AI will have a tangible impact on product development and strategic initiatives, providing a profound sense of purpose.
• Chance to Lead and Mentor a Talented Team: This role offers a unique chance to lead and mentor a talented team in a dynamic setting. You’ll influence technical direction, share your expertise, and contribute to the growth of junior engineers, providing significant leadership experience.

Upon completion of waiting period, consultants are typically eligible for a comprehensive suite of benefits designed to support their well-being and financial security. These include:

• Medical and Prescription Drug Plans: Comprehensive healthcare coverage for medical services and necessary prescription medications.
• Dental Plan: Benefits covering routine dental care and essential treatments.
• Vision Plan: Coverage for eye examinations, prescription glasses, and contact lenses.
• Health Savings Account (HSA): A tax-advantaged savings account to help pay for qualified medical expenses.
• Health Flexible Spending Account (HFSA): Allows pre-tax contributions for eligible healthcare costs.
• Dependent Care Flexible Spending Account (DCFSA): Provides tax advantages for dependent care expenses.
• Supplemental Life Insurance: Options for additional life insurance coverage for enhanced financial protection.
• Short Term and Long Term Disability Insurance: Income replacement benefits during periods of temporary or prolonged incapacitation due to illness or injury.
• Business Travel Insurance: Coverage for unforeseen events or emergencies that may occur during authorized business travel.
• 401(k), Plus Match: An opportunity to save for retirement with the added benefit of employer matching contributions, enhancing your long-term financial growth.
• Weekly Pay: Consistent and regular compensation provided on a weekly basis, ensuring stable financial flow throughout your contract engagement.

If this GenAI Developer role in Concord, CA, aligns with your expertise in developing generative AI models, your proficiency in Python and Java, and your passion for leading innovative AI projects, we encourage you to learn more about this exciting onsite contract opportunity. This is a fantastic chance to contribute to the future of technology within a leading organization.