Senior Machine Learning Engineer Agentic Development

We are seeking a hands-on Senior Machine Learning Engineer to design build and deploy intelligent agents on our edge devices. These agents will operate autonomously in resource-constrained environments performing complex tasks like real-time log analysis on-device computer vision and secure system-level interactions. 

This role requires a unique blend of modern AI development (agentic workflows LLMs) and classic systems-level domain knowledge. You will be responsible for creating agents that can perceive their environment (through logs video and system data) reason and act securely and efficiently on our custom hardware. 

Key Responsibilities 

• Design build and deploy autonomousagentic systemsfor resource-constrained edge devices. 

• Implement agent capabilities that leverage deep domain knowledge specifically in: 

• Real-timelog analysisand anomaly detection. 

• Efficient on-devicecomputer vision (CV)model execution and interpretation. 

• Interaction with system-levelopen-sourced toolsfor data gathering and system monitoring. 

• Develop and integrate secure high-performance communication channels for agent-to-agent (A2A) and management-to-controller (MCP) interactions. 

• Implement robustMCP authenticationand secure communication protocols for all agent operations. 

• Optimize the full agent stackfrom the ML model to the application logicfor high performance and low footprint (latency memory power) on our target hardware. 

• Collaborate with MLOps and firmware teams to create robust deployment and update pipelines for agents in the field. 

Qualifications :

• 5 yearsof hands-on experience in software engineering or machine learning. 

• B.S. or M.S. in Computer Science Electrical Engineering or a related field (or equivalent practical experience). 

• Proven experience building systems with LLMs and/or agentic frameworks (e.g. LangChain LlamaIndex or custom-built agents). 

• Strong demonstrable domain knowledge inlog analysisand/orcomputer vision. 

• Experience with network protocol development or integration with specific knowledge ofMCP/A2A-like systems andauthenticationmechanisms. 

• Strong programming skills in Python and familiarity with data-intensive applications. 

• Experience using and integratingopen-source toolsfor system monitoring log processing (e.g. ELK stack Prometheus) or CV (e.g. OpenCV). 

Preferred Qualifications (The Plus Factors) 

• Direct hands-on experience withembedded system development(e.g.C C Rust Yocto RTOS). 

• Experience optimizing ML models (quantization pruning) for edge devices (e.g. NPUs FPGAs or other accelerators). 

• Deep understanding of network security and secure coding practices. 

• Knowledge of ML compilers like Apache TVM or MLIR

Additional Information :

Axiado is committed to attracting developing and retaining the highest caliber talent in a diverse and multifaceted environment. We are headquartered in the heart of Silicon Valley with access to the worlds leading research technology and talent.

We are building an exceptional team to secure every node on the internet. For us solving real-world problems takes precedence over purely theoretical problems. As a result we prefer individuals with persistence intelligence and high curiosity over pedigree alone. Working hard and smart continuous learning and mutual support are all part of who we are.

Axiado is an Equal Opportunity Employer. Axiado does not discriminate on the basis of race religion color sex gender identity sexual orientation age non-disqualifying physical or mental disability national origin veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications merit and business need.

Remote Work :

No

Employment Type :

Full-time