o Ensure best coding practices, including code reviews, version control, and thorough documentation, are maintained across projects.

o Create and maintain APIs and backend services that enable seamless data flows and integration with AI models.

2. Generative AI Development:

o Design and deploy Generative AI models using Vertex AI on Google Cloud Platform, building robust AI solutions to solve business problems.

o Fine-tune and optimize AI models for performance, accuracy, and scalability in production environments.

o Work with data scientists and ML engineers to incorporate the latest AI techniques and improve model performance over time.

3. Cloud Architecture and Infrastructure:

o Architect cloud-based systems and applications using GCP's full suite of tools, ensuring high performance, scalability, and cost-effectiveness.

o Knowledge of CI/CD pipelines and automation scripts for seamless deployment, monitoring, and scaling of AI and backend applications.

4. Data Engineering and Management:

o Design and manage data models using BigQuery, SQL, and NoSQL databases, ensuring optimal performance for both transactional and analytical data.

o Develop and maintain ETL pipelines to support large-scale data ingestion, processing, and transformation from multiple sources.

o Implement data governance practices, including data quality checks, validation, and monitoring, to ensure accuracy and compliance.

5. Solution Architecture and Technical Design:

o Lead solution design sessions to define project requirements, system specifications, and technical architecture.

o Collaborate with product and design teams to translate business needs into technical solutions that are scalable, flexible, and aligned with best practices.

o Create technical documentation for architecture, design patterns, and deployment processes to ensure knowledge sharing and future scalability.

6. Collaboration and Mentorship:

o Work closely with cross-functional teams, including product managers, data scientists, and designers, to drive projects from concept to production.

o Foster a collaborative team environment that encourages knowledge sharing, continuous improvement, and innovation.

7. System Performance Monitoring and Optimization:

o Monitor application performance, proactively identifying and resolving bottlenecks, latency issues, and potential areas for optimization.

o Set up monitoring tools and dashboards to track application health, performance, and resource utilization in real-time.

o Balance performance, cost, and scalability to achieve business objectives.

8. Continuous Improvement and Agile Practices:

o Participate in agile development processes, including sprint planning, stand-ups, and retrospectives to deliver projects on time.

o Embrace a mindset of continuous learning, staying current with industry trends, emerging technologies, and advancements in Generative AI and cloud solutions.

o Drive process improvements within the team, including workflow optimizations, automation, and integration of new tools to increase efficiency.

9. Risk Assessment and Security Implementation:

o Conduct risk assessments for software projects, identifying potential issues and implementing solutions to mitigate them.

o Ensure that all systems are secure, implementing necessary encryption, access controls, and security best practices.

o Collaborate with the security team to regularly review, test, and improve security protocols.

10. Innovation and R&D:

o Lead research initiatives to explore new technologies, AI frameworks, and GCP tools to continuously push the boundaries of what's possible.

o Identify opportunities to apply emerging AI technologies to address business challenges and improve customer experience.

o Conduct experiments and proof-of-concepts (POCs) to validate new approaches and assess feasibility for future projects.

Qualifications:

• Experience: 5+ years of software engineering experience, with at least 2 years focused on cloud architecture and Generative AI, preferably on GCP.

• Technical Skills:

o Proficient in Java, Python, and Node.js for backend development and AI integration.

o Experience in frontend development such ReactJS.

o Strong expertise in Google Cloud Platform (GCP), especially Vertex AI and related AI tools for Generative AI projects.

o Proficient in BigQuery, SQL, and NoSQL databases for data modeling and management.

• Problem-Solving: Proven ability to troubleshoot, debug, and resolve complex technical challenges independently.

• Self-Starter: Demonstrated capability to independently initiate, manage, and deliver projects with minimal guidance.

• Communication Skills: Ability to convey complex technical information effectively and collaborate with cross-functional teams.

Preferred Qualifications:

• Familiarity with agile and DevOps practices for streamlined development and deployment.

• Knowledge of additional cloud services, microservices, and data pipeline architectures.

• Experience with machine learning frameworks and libraries is a plus.

• Experience in Ad tech and Digital Marketing is a plus.

#LI-REMOTE

#LI-NR2

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The annualized base salary for this role will range between $130,000 and $150,000. Base compensation is reflective of many factors, including, but not limited to, the market in which one lives/works, individual education level, skills, certifications and experience. Note: variable compensation is not reflected in these figures and based on the role, may be applicable.