Apptad- GenAI consultant

Palo Alto, CA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Role- GenAI consultant

Location- Palo Alto CA

We are seeking a highly skilled and motivated GenAI Engineer to join our team and optimize our multimodal indexing pipeline. This role is critical to improving the performance and scalability of systems that process and index diverse data types including text images audio and video for generative AI applications.

Key Responsibilities

Analyze and identify performance bottlenecks in the multimodal indexing pipeline.

Design and implement scalable solutions to improve indexing throughput and latency.

Collaborate with data scientists ML engineers and platform teams to integrate enhancements.

Develop and maintain tools for monitoring and debugging pipeline performance.

Ensure robustness and reliability of indexing across modalities.

Document engineering solutions and contribute to technical knowledge base.

Required Qualifications

Bachelors or Masters degree in Computer Science Engineering or related field.

10 years of experience in data engineering ML infrastructure or GenAI systems.

Strong programming skills in Python Java or C.

Experience with multimodal data processing and indexing frameworks.

Familiarity with cloud platforms (AWS Azure GCP) and containerization (Docker Kubernetes).

Understanding of transformer-based models and vector databases (e.g. FAISS Milvus).

Preferred Skills

Experience with GenAI frameworks like LangChain Hugging Face Transformers or OpenAI APIs.

Knowledge of distributed systems and real-time data pipelines.

Prior work on optimizing large-scale ML workflows or retrieval-augmented generation (RAG).

Career growth and learning opportunities.

Role- GenAI consultant Location- Palo Alto CA We are seeking a highly skilled and motivated GenAI Engineer to join our team and optimize our multimodal indexing pipeline. This role is critical to improving the performance and scalability of systems that process and index diverse data types includ...