AI Developer - Model Creation & Full Stack

Socket.dev; Virginia (IL); Hybrid; USD 130,000 - 145,000; Full time

Job summary

Everforth ECS is seeking an AI Developer to work remotely. The role involves building high‑performance Python‑based AI/ML solutions and full‑stack applications to serve AI models.

You will design, build, and deploy models, data preprocessing, and integrate them into scalable web apps with MCP servers. Responsibilities include developing AI/ML models, building microservices and front‑end interfaces, and ensuring system scalability, security, and performance across the stack.

Qualifications

• Bachelor’s or Master’s degree in CS/AI/Data Science required.
• US Citizenship or Green Card and ability to pass a background check required.
• 3+ years in AI/ML development and full‑stack app building.
• Strong Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers) skills.
• Experience with Django/Flask/FastAPI and React/Angular/Vue.js.

Responsibilities

• AI/ML model development and full-stack application work.
• Develop high‑throughput microservices and RESTful APIs/GraphQL.
• Build front-end interfaces for AI-powered apps.
• Integrate AI models into web and mobile apps.
• Ensure scalability, security, and performance of solutions.
• Collaborate with data scientists, developers, and product managers.

Education

Bachelor’s or Master’s degree in CS/AI/Data Science

Tools

Django

Flask

FastAPI

React

Angular

Vue.js

PostgreSQL

MySQL

MongoDB

Redis

Oracle 19c

Azure Databricks

Databricks

Docker

Kubernetes

AWS

Azure

GCP

GitHub workflows

Plotly

Job description

Everforth ECS is seeking an AI Developer to work remotely.

Everforth ECS is seekinga highly skilledAI Developer withexpertiseinmachine learning model creationandfull-stack application development. The ideal candidate willbe excited to joinan organization that is heavily investing in AI.Thisrole requires the needtobuild high performance Python-basedAI/MLsolutions capable of processing extremely large data setsandintegratingthem into scalable web applications,including LLMs. This rolealsorequires strong problem-solving skills, a deep understanding of AI frameworks, and the ability to work across the entire technology stack.

Key Responsibilities:

• AI/ML Model Development
• Design, build,fine tuneand train machine learning and deep learning models using Python.
• Perform data preprocessing, feature engineering, and model optimization.
• Evaluate models usingdomainappropriate metricsand improve performance iteratively.
• Deploycustommodels to production environments (cloud/on-premises)usingMLOpsbest practices.
• Full-Stack Development
• Develophigh throughput, event-drivenmicroservices (RESTful APIs,GraphQL)for application backends and MCP servers to serve AI models.
• Build responsive and user-friendly front-end interfaces for AI-powered applications.
• Integrate AI models into web and mobile applications.
• Ensure scalability, security, and performance of deployed solutions.
• Collaboration & Documentation
• Work closely with data scientists,developers,frontend developers, and product managers.
• Document model architectures, APIs, and deployment processes.
• Participate in code reviews andmaintainhigh coding standards.

Salary Range: $130,000 - $145,000

General Description of Benefits

Qualifications

• Bachelor’s orMaster’s degree in Computer Science, AI, Data Science, or related field.
• Candidates must be able to obtain a USPS Public Trust Clearance. ThisrequiresUS Citizenship or Permanent Resident Status (Green Card), and the ability to pass a stringent background check.
• 3+ years of experience in AI/ML development and full-stack application building.
• Programming:Strongproficiencyin Python (NumPy, Pandas, scikit-learn, TensorFlow,PyTorch,Transformers).
• Full Stack:Experience with backend frameworks (Django, Flask,FastAPI) and frontend frameworks (React, Angular, or Vue.js).
• Databases:Knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis), Oracle 19c, Azure Databricks
• Experience with databricks
• DevOps & Deployment:Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP).
• General knowledge of Geospatial technology
• Version Control:Proficiencywith GitHub workflows.
• Mathematics & AI Concepts:Strong understanding of statistics, linear algebra, and machine learning algorithms.
• Knowledgeofdata visualizationtools (Matplotlib,Plotly, D3.js).
• Familiarity withmicroservicesarchitecture.
• Prior experience inAI product developmentfrom concept to deployment.