AI/ML Engineer

Apexon

$135K — $160K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 15+ years of software engineering experience
  • 5+ years building enterprise AI and Machine Learning solutions
  • Strong hands-on expertise in production-scale AI platforms
  • Proficient in cloud-native applications, especially on AWS
  • Experience in mentoring and technical leadership

Responsibilities

  • Build GenAI applications leveraging OpenAI, Claude, and AWS Bedrock
  • Develop RAG solutions and AI Agents
  • Create scalable APIs using Python and FastAPI
  • Design cloud-native architecture employing AWS services
  • Implement CI/CD automation for deployment_pipeline

Benefits

  • Comprehensive health and well-being benefits
  • Continuous skill-based development opportunities
  • 401K Plan
  • Life Insurance, STD & LTD
  • Paid Vacations & Holidays
  • Paid Parental Leave
  • FSA Dependent & Limited Purpose care
Full Job Description
Senior AI/ML Lead Engineer - Generative AI & Cloud Platform experience

Location : Charlotte , USA

Professional Profile

Experienced AI/ML and Data Engineering leader with 15+ years of software engineering experience and 5+ years building enterprise AI, Machine Learning, Generative AI, and cloud-native solutions. Strong hands-on expertise in designing and deploying production-scale AI platforms, RAG systems, AI Agents, MLOps frameworks, and cloud-native applications on AWS.

Role Overview

This role is primarily a 70% hands-on Individual Contributor and 30% technical leadership position. The engineer is expected to design, build, deploy, and optimize enterprise AI solutions while mentoring teams and coordinating with business, product, and engineering stakeholders.

Key Responsibilities

Build GenAI applications using OpenAI, Claude, Gemini, Llama, and AWS Bedrock. Develop RAG solutions, AI Agents, semantic search, prompt engineering frameworks, and MLOps pipelines. Create scalable APIs using Python and FastAPI. Design cloud-native architecture using AWS services and implement CI/CD automation.

Core Technical Skills

Python, Java, SQL, Scala; OpenAI, Claude, Gemini, Llama, LangChain, LangGraph, RAG, AI Agents; SageMaker, Bedrock, Lambda, ECS, EKS, S3, DynamoDB, Redshift; Databricks, PySpark, Snowflake, Delta Lake, Kafka, Airflow; Docker, Kubernetes, Git, GitHub Actions, Jenkins, Terraform, CloudFormation.

Infrastructure & DevOps:

Lead Infrastructure as Code implementations using Terraform and CloudFormation. Build automated deployment pipelines using Git-based workflows, CI/CD, containerization, Kubernetes orchestration, monitoring, logging, and governance controls.

Leadership & Collaboration:

Provide architectural guidance, mentor engineers, conduct design reviews, support delivery planning, and collaborate with product managers, business stakeholders, compliance teams, and data scientists to deliver enterprise AI initiatives.

Preferred Industry Experience

Financial Services, Banking, Payments, Risk Analytics, Regulatory Reporting, Data Governance, and Enterprise Digital Transformation.

Success Profile

A highly technical practitioner capable of independently delivering AI solutions from concept to production while influencing architecture, standards, and engineering excellence across teams.

Our Perks and Benefits:

Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance.

We also offer:
  • Health Insurance with Dental & Vision
  • 401K Plan
  • Life Insurance, STD & LTD
  • Paid Vacations & Holidays
  • Paid Parental Leave
  • FSA Dependent & Limited Purpose care

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