Job Description
We are at the forefront of defining the technological landscape of 2026. At Apex Future Labs, we are building the autonomous intelligence infrastructure of tomorrow. We are seeking a visionary Lead AI Architect to design, build, and scale our next-generation agentic AI systems. You will be responsible for bridging the gap between theoretical AI research and production-grade infrastructure, ensuring our systems are robust, scalable, and ready for the future.
Why Join Us?
We offer a competitive package, equity options, and the opportunity to work on cutting-edge problems that define the industry. If you are passionate about the future of AI and want to leave a lasting impact, this is your chance to lead from the front.
Responsibilities
- Design and architect scalable, autonomous AI agents capable of complex reasoning and task execution.
- Lead the research and implementation of advanced Large Language Model (LLM) fine-tuning and RAG (Retrieval-Augmented Generation) strategies.
- Collaborate with cross-functional teams (Data Science, Product, Engineering) to integrate AI solutions into core products.
- Optimize model inference performance, reducing latency and cost in cloud environments.
- Establish best practices for MLOps, ensuring reproducibility and monitoring of AI models in production.
- Predict and mitigate risks associated with AI hallucinations and adversarial attacks.
- Stay ahead of industry trends, specifically focusing on '2026-ready' technologies like Agentic Workflows and Multimodal AI.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 5+ years of experience in machine learning engineering and software architecture.
- Deep expertise in Python, PyTorch, or TensorFlow.
- Proven track record of deploying LLMs or generative AI models to production at scale.
- Strong understanding of vector databases (e.g., Pinecone, Weaviate) and semantic search.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.