Job Description
Are you ready to architect the future of intelligent systems? Apex Innovations is pioneering the next generation of Generative AI, and we are seeking a visionary Senior Engineer to lead our 2026 roadmap.
In this role, you will not just build models; you will define the paradigm shift in how humans interact with machines. Join a elite team pushing the boundaries of Large Language Models (LLMs), multimodal reasoning, and autonomous agents. We are looking for a technical leader who thrives in ambiguity and is obsessed with creating ethical, scalable, and transformative AI solutions.
Why join us?
- Future-Forward Technology: Work on cutting-edge research that sets the standard for 2026 and beyond.
- Impactful Work: Your code will power applications that assist millions of users globally.
- Top-Tier Compensation: Competitive salary, equity packages, and comprehensive benefits.
Responsibilities
- Design and implement scalable architecture for large-scale generative models and transformer-based systems.
- Optimize model inference latency and cost-effectiveness for real-time applications.
- Lead the research and development of novel techniques in prompt engineering, fine-tuning, and reinforcement learning from human feedback (RLHF).
- Collaborate with cross-functional teams (Product, Design, Engineering) to translate AI capabilities into user-centric features.
- Establish best practices for data privacy, security, and ethical AI usage within the organization.
- Stay ahead of industry trends to ensure Apex Innovations remains a market leader in AI innovation.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- 7+ years of professional experience in software engineering, with at least 3 years focused on Machine Learning/AI.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of transformer architectures, BERT, GPT, and diffusion models.
- Experience deploying models to production environments (e.g., Kubernetes, AWS SageMaker, GCP Vertex AI).
- Strong problem-solving skills and the ability to debug complex distributed systems.
- Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders.