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.

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, Acceleration to Ascension 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

Knowledge of MERN Stack is required

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

Experience Preferred: 1 Year.

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