AI Engineer at eTelligent Group Llc

Farmers Branch, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Mar, 26

Salary

0.0

Posted On

13 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, API Development, Automation, Code Generation, Machine Learning, Python, MLOps, Model Deployment, Testing, Validation, Performance Evaluation, Legacy Modernization, Natural Language Processing, Cloud-Based AI, Containerized Deployments, FastAPI, TensorFlow

Industry

IT Services and IT Consulting

Description

Company Overview: Over the past 15 years, eTel has delivered essential solutions for the federal government by securing and managing data, providing scalable identity access, modernizing legacy systems, and building high-performance platforms. By integrating new technologies and ensuring reliable operations we help agencies stay prepared for future challenges As a premier technology solutions and services company to the US federal government, eTel possesses longstanding relationships across the federal civilian marketplace. Other customers include the broader Treasury Department, Commerce Department, and State Department. eTel offers integrated CMMI Level 3 processes, tools, and techniques with innovative, cost-efficient, and secure solutions to address complex challenges. eTel also holds ISO 9001:2015, ISO/IEC 27001:2013, and ISO/IEC 20000-1:2018 certifications, and offers dedicated subject matter experts (SMEs) and thought leaders that possess a deep understanding of customers’ environments and challenges. Location: Farmers Branch, Texas (Hybrid – 2–3 days onsite at IRS Farmers Branch) Citizenship: US Citizen (MUST) Security Clearance: Must be eligible to possess MBI (IRS Background Investigation) clearance. Active MBI clearance is preferred. Job Summary: The AI Engineer supports the application of artificial intelligence to software development and API enablement. This role focuses on AI-driven automation, code generation, testing, documentation, and the development of APIs that support AI and machine learning workflows within the IRS UAPI ecosystem. Key Responsibilities: Design and develop AI-enabled solutions that support API development and modernization. Implement AI-driven code generation, code review, and documentation automation. Support automated language conversion from legacy COBOL to modern programming languages. Develop APIs that support AI and machine learning workflows, including model deployment and inference. Build and deploy machine learning models using Python and modern ML frameworks. Support MLOps practices including model versioning, monitoring, and retraining. Collaborate with full stack and data engineers to integrate AI capabilities into APIs. Contribute to testing, validation, and performance evaluation of AI-enabled services. Required Qualifications: Bachelor’s degree in Computer Science, Artificial Intelligence, or related field, or equivalent experience. 3 to 5 or more years of experience in software engineering or machine learning engineering. Strong proficiency in Python. Experience with machine learning frameworks such as PyTorch or TensorFlow. Experience deploying models into production environments using APIs. Familiarity with cloud-based AI platforms and containerized deployments. Preferred Qualifications: Experience with large language models and natural language processing. Experience with automated language conversion or legacy modernization. Familiarity with FastAPI, model serving frameworks, or MLOps tools. Experience supporting regulated or federal environments. Commitment to Diversity - eTelligent Group provides equal employment opportunities (EEO) to all applicants without regard to race, color, religion, gender, sexual orientation, gender identity, nations origin, age, disability, genetic information, marital status, amnesty, status as a covered veteran, and any other characteristic provided in accordance with applicable, federal, state and local laws.

Responsibilities

The AI Engineer will design and develop AI-enabled solutions to support API development and modernization, focusing on AI-driven automation and code generation. This role also involves collaborating with engineers to integrate AI capabilities into APIs and contributing to the testing and validation of AI-enabled services.