Job Description
Join Apex Innovations as our Lead Autonomous Systems Engineer and help define the architecture of the next generation of intelligent agents. As we prepare for the rapid evolution of AI capabilities in 2026, we are seeking a visionary engineer to build scalable, self-improving systems.
We are not just building software; we are constructing the nervous system of autonomous workflows. You will work at the intersection of Large Language Models (LLMs), Reinforcement Learning, and Distributed Systems. If you are passionate about the future of AI and want to lead a team that pushes the boundaries of what is possible, this is your opportunity.
Why join us?
- Competitive salary and equity package.
- Work with state-of-the-art AI infrastructure.
- Flexible remote-first culture with premium benefits.
Responsibilities
- Design and architect robust multi-agent systems capable of complex reasoning and task execution.
- Implement and optimize fine-tuning pipelines for proprietary large language models.
- Develop evaluation frameworks and metrics to measure agent performance and safety.
- Collaborate with product teams to integrate autonomous agents into production environments.
- Ensure system scalability, low latency, and high availability.
- Stay ahead of industry trends in AI safety, alignment, and agentic workflows.
Qualifications
- 5+ years of experience in software engineering, with a focus on AI/ML or distributed systems.
- Deep proficiency in Python and modern frameworks (e.g., LangChain, LlamaIndex, AutoGPT).
- Strong understanding of machine learning fundamentals and transformer architectures.
- Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
- Proven track record of shipping complex software products to market.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.