Source description
About the role
Job Description
W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters -->
Job Overview
Job ID: J53206
Posted Date: 02/06/2026
--> Specialized Area: other
--> Job Title: AI engineer
Location: dallas, TX
Duration: 10 Months + Extension
Hourly Rate: Depending on Experience (DOE)
Domain Exposure: Healthcare, Insurance, Government, Oil & Gas
--> Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2C Bench Recruiter: Blessy roy
-->
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Job Description -->
JD:
Job Description:
We are looking for a versatile Full-Stack AI Engineer proficient in backend and frontend development with strong experience in AIML technologies.
The ideal candidate will work closely with cross-functional teams to develop scalable web applications featuring a Node.js and Python backend| React-based frontend| and AIML-powered functionalities leveraging tools like Scikit-learn| TensorFlow| Azure ML| and Langchain.
The role requires a passion for cutting-edge machine learning integrations and delivering high-quality| performant software.
AI System Key Responsibilities:
Backend Development Design| develop| and maintain scalable backend services and APIs primarily using Node.js with TypeScript and Python.
Integrate AIML models and workflows into backend systems to enable intelligent application features.
Ensure robust application architecture| security| and performance optimization.
Frontend Development:
Build responsive| user-friendly interfaces using React and TypeScript following best practices and design principles.
Collaborate with UXUI designers and product teams to deliver seamless user experiences.
Implement state management| routing| and component libraries to support complex application workflows.
AIML Integration Develop and deploy machine learning models using Scikit-learn and TensorFlow| with cloud-based orchestration through Azure ML.
Integrate AI functionalities using frameworks like Langchain and JavaScript-based libraries into web applications.
Collaborate with data scientists and ML engineers to operationalize AI solutions in production-grade applications.
Collaboration Best Practices Work closely with product managers| designers| and other engineers in an Agile environment.
Write clean| maintainable| and well-documented code with unit and integration tests.
Participate in code reviews| design discussions| and continuous improvement initiatives
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