Gen AI Engineer
Content + Source + Freshness • 13 Dec 2025 • 95% confidence
Offer value
High value position focusing on the trending field of generative AI, offering significant growth potential and market relevance.
- Position at forefront of generative AI technology
- Significant growth prospects in a high-demand field
- Involvement in innovative solutions and projects
- Requires diverse and substantial technical background
Pros
- Position in a rapidly growing sector of AI technology
- High demand for skills in machine learning and deep learning
- Opportunities to work with leading cloud and AI platforms
Cons
- Requires diverse and specific technical expertise which may limit applicant pool
- Potentially high workload in a temporary role
- Complex responsibilities could lead to stress for less experienced candidates
Who it's for
Senior/Lead • Hybrid/On-site
Good fit
- AI and machine learning experts
- Technology enthusiasts driven by innovation
- Individuals with interest in building AI applications
Not recommended for
- Candidates with limited experience in deep learning
- Individuals seeking roles outside technology or AI domains
- Job seekers without sufficient technical backgrounds
Motivation fit
Key skills
About the job
Technical Skill Set Required
• Deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.)
• Machine learning APIs.
• Experience with Google Cloud Platform (GCP), Microservices and Vertex AI.
• Python, API
• BigQuery, Cloud SQL & Postgres SQL
Job responsibilities
• Strong understanding of machine learning and deep learning principles and algorithms.
• Experience in developing and implementing generative AI models and algorithms.
• Proficiency in programming languages such as Python, TensorFlow, and PyTorch.
• Ability to work with large datasets and knowledge of data preprocessing techniques.
• Familiarity with natural language processing (NLP) and computer vision for generative AI applications.
• Experience in building and deploying generative AI systems in real-world applications.
• Strong problem-solving and critical thinking skills for complex AI problems.
• Experience building scalable data models and performing complex relational databases queries using SQL (BigQuery, Cloud SQL, Postgres), etc.
• Experience working with google cloud computing platforms and containerization technologies (e.g., Docker, Kubernetes).
• Experience on data extraction/manipulation experience using scripts specific to AI/ML
• Hands-on experience with web APIs, CI/CD for ML, and Serverless Deployment
• Experience with debugging and troubleshooting software or solutions design issues
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