Job Description
Are you ready to build the tools that will define the 2026 era? Synapse Future Labs is seeking a visionary Generative AI Engineer to lead our next-generation model development.
We are building the future of human-machine interaction, leveraging Large Language Models and multimodal architectures to solve complex problems at scale. In this role, you will bridge the gap between cutting-edge research and production-grade deployment.
Why Join Us?
- Work on the forefront of AI innovation.
- Competitive compensation and equity package.
- Flexible remote-first culture with HQ in SF.
Responsibilities
- Design, train, and fine-tune large-scale generative models (LLMs) tailored for 2026 enterprise needs.
- Implement Retrieval-Augmented Generation (RAG) architectures to enhance model accuracy.
- Optimize model inference latency and reduce GPU costs in production environments.
- Collaborate with product managers and data scientists to define the 2026 AI roadmap.
- Ensure ethical AI practices, including bias detection and safety guardrails.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Proven experience deploying LLMs (e.g., GPT, Llama, Mistral) to production.
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/K8s).
- Experience with MLOps tools and model versioning.