AI ML Engineer

ABOUT AXENSION AI

Axension AI is a next-generation software technology company building powerful, autonomous, and intelligent AI systems that redefine how work gets done.

We design and engineer Agentic AI architectures, intelligent models, and automation platforms capable of reducing manual operational workload by up to 60% or more across multiple industries including healthcare, real estate, education, and enterprise operations.

Our mission is to create AI systems that do not simply respond, but reason, plan, decide, and execute. We believe the future of software lies in autonomous intelligence, and we are building the core technologies that will power that future.

At Axension AI, Ascension to Acceleration is not just a tagline. It is our philosophy. We help organizations ascend through innovation and accelerate through intelligent automation.

ROLE OVERVIEW

We are seeking a highly motivated and technically strong AI/ML Engineer with a strong interest in Agentic AI, autonomous systems, and intelligent automation.

You will be responsible for designing, developing, and optimizing machine learning models and AI agents that operate across real world workflows. You will work closely with engineers, architects, and product leaders to build scalable AI systems used across multiple domains.

This role is ideal for a quick learner, deep problem-solver, and engineer who wants to work on cutting-edge AI systems, not just experiments.

ROLE DESCRIPTION
• Design, develop, and deploy machine learning models for real world applications
• Build Agentic AI systems capable of reasoning, planning, memory management, and task execution
• Develop multi-agent workflows and autonomous pipelines
• Integrate Large Language Models into production systems
• Build and maintain intelligent automation workflows using tools such as n8n and custom orchestration layers
• Develop prompt strategies, tool-calling logic, and agent decision frameworks
• Optimize model performance, latency, cost, and reliability
• Work with vector databases, embeddings, and retrieval systems
• Participate in system architecture design and technical roadmap planning
• Test, evaluate, and continuously improve AI systems
• Document architectures, models, and workflows clearly

TECHNICAL REQUIREMENT
• Strong foundation in Machine Learning and Artificial Intelligence
• Proficiency in Python
• Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
• Solid understanding of LLMs, transformers, and prompt engineering
• Hands-on experience or strong interest in Agentic AI and Autonomous Agents
• Familiarity with n8n or similar automation and orchestration platforms
• Experience working with APIs, webhooks, and system integrations
• Understanding of data preprocessing, feature engineering, and evaluation techniques

TECHNICAL REQUIREMENT
• Experience with vector databases such as FAISS, Pinecone, or Weaviate
• Knowledge of cloud platforms including AWS, GCP, or Azure
• Exposure to MLOps, model deployment, and CI/CD
• Experience building chatbots, copilots, or workflow automation systems

What We’re Looking For
• A quick learner who adapts fast to new technologies
• Passionate about building real AI systems, not just demos
• Strong problem solving and analytical mindset
• Comfortable working in fast-moving startup environments
• Curious, disciplined, and execution-focused

WHAT YOU'LL GAIN
• Hands-on experience building next-generation AI systems
• Direct exposure to Agentic AI architectures
• Mentorship from senior engineers
• Opportunity to work on impactful, production-grade technology
• Strong portfolio projects
• Paid role after 6 months based on performance

IMPORTANT NOTE

This is a remote, unpaid opportunity for the first 6 months. High performing candidates will be offered a paid position after successful completion.