Job Description
Are you ready to architect the future of intelligent systems?
Nebula Future Labs is on the hunt for a visionary Senior Generative AI Engineer to spearhead our 2026 roadmap. We are building the next generation of autonomous agents and Large Language Models that will redefine human-machine interaction. If you possess a deep understanding of AI architecture and want to leave a lasting impact on the tech landscape, this is your opportunity.
In this role, you will not just write code; you will define the ethical frameworks and technical paradigms that will guide the industry for years to come. You will work with state-of-the-art models, pushing the boundaries of what is possible with Transformer architectures and reinforcement learning.
Why Join Us?
- Impact: Work on core infrastructure used by millions.
- Equity: Competitive equity package tied to long-term growth.
- Flexibility: Hybrid work model with a focus on autonomy.
Key Responsibilities:
- Architect and deploy scalable Generative AI models tailored for enterprise solutions.
- Lead research initiatives into LLM fine-tuning, RLHF, and prompt engineering strategies.
- Optimize model inference latency and cost efficiency in production environments.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer products.
- Ensure the ethical use of AI, addressing bias and safety concerns in model outputs.
- Mentor junior engineers and define technical standards for the AI department.
Qualifications:
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of experience in Machine Learning, Deep Learning, or NLP.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ACL).
- Experience with distributed computing frameworks (Apache Spark, Kubernetes).
- Strong understanding of MLOps pipelines and model versioning.
Ready to build the future? Apply today and let's talk about 2026.
Responsibilities
- Architect and deploy scalable Generative AI models tailored for enterprise solutions.
- Lead research initiatives into LLM fine-tuning, RLHF, and prompt engineering strategies.
- Optimize model inference latency and cost efficiency in production environments.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer products.
- Ensure the ethical use of AI, addressing bias and safety concerns in model outputs.
- Mentor junior engineers and define technical standards for the AI department.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of experience in Machine Learning, Deep Learning, or NLP.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ACL).
- Experience with distributed computing frameworks (Apache Spark, Kubernetes).
- Strong understanding of MLOps pipelines and model versioning.