Agentic AI Engineer Position in Dallas, TX (Onsite) - Local candidates only.

Overview

On Site
$0,00/-
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - to 12/18/2026

Skills

Data and Intelligence-Analytics-Artificial Intelligence

Job Details

TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years.

TECHNOGEN is a Small & Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD & Offshore development centers in India. We have successfully executed 100+ projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies.


Hi Floks,

Greetings of the day!

We are looking to Hire a Talented Professional for the below Job opportunity with one of our clients,
If you're interested, please share your updated resume at your earliest convenience, and I'll be happy to provide more details about the role.

Position: Agentic AI Engineer

location: Dallas, TX (Onsite) - Local candidates only.

Duration: 12+ Months (Long-Term Contract)

Job Description:

In this role, you will be responsible for launching and implementing GenAI agentic solutions aimed at reducing the risk and cost of managing large-scale production environments with varying complexities. You will address various production runtime challenges by developing agentic AI solutions that can diagnose, reason, and take actions in production environments to improve productivity and address issues related to production support.

Minimum Skills Required:

  • 5+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred.
  • 3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows.
  • Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution).
  • Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude).
  • Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions.
  • Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.
  • Preferred: Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation)

Best Regards,

Mohammad Kashif Ali

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