Job Description
Join Apex Innovations, a leading force in next-generation artificial intelligence, as we architect the systems of tomorrow for the year 2026 and beyond. We are looking for a visionary Senior AI Engineer to lead our research and engineering efforts in Generative AI, Large Language Models (LLMs), and autonomous agents.
In this pivotal role, you will not just implement existing models; you will push the boundaries of what is possible in reasoning, multimodal interaction, and scalable AI infrastructure. You will work in a high-velocity environment where your code directly shapes the future of human-computer interaction.
Why join us?
- Work on cutting-edge LLM applications that are defining the 2026 technology landscape.
- Competitive compensation package including equity.
- Flexible remote-first culture with a focus on innovation.
Responsibilities
- Architect LLM Solutions: Design and implement robust Retrieval-Augmented Generation (RAG) pipelines and fine-tuning strategies for proprietary and open-source models.
- Model Optimization: Reduce inference latency and optimize model memory footprint for edge deployment and high-throughput web applications.
- Research & Development: Conduct cutting-edge research to improve model accuracy, hallucination reduction, and ethical AI safety standards.
- System Integration: Collaborate with full-stack engineers to integrate complex AI models into production-grade APIs and user interfaces.
- Technical Leadership: Mentor junior engineers, conduct code reviews, and establish best practices for machine learning engineering within the team.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
- Experience: 5+ years of professional experience in Deep Learning, Natural Language Processing (NLP), or Machine Learning.
- Programming: Expert proficiency in Python, PyTorch, or TensorFlow.
- Frameworks: Proven experience with Hugging Face Transformers, LangChain, or similar orchestration frameworks.
- Databases: Strong understanding of vector databases (e.g., Pinecone, Milvus, Weaviate) and SQL.