AI Resume Builder
JOIN NOW Post Job
V
AI

Python + AI + AWS Engineer

VeeRteq Solutions Inc. · Houston, IL, US

Actively hiring Posted 3 months ago

We are seeking a highly skilled Python + AI + AWS Engineer to design, develop, and deploy scalable AI driven applications on cloud environments. The ideal candidate will have strong hands on experience in Python, machine learning/AI frameworks, and AWS cloud services. Experience with Java and Terraform is a strong plus.

Responsibilities: -

  • AI / Machine Learning Develop, train, and deploy ML/AI models using frameworks such as TensorFlow, PyTorch, Scikit learn, Hugging Face, etc.
  • Design and optimize data pipelines for model training and inference.
  • Work with LLMs, embeddings, RAG architectures, or generative AI workflows (optional but preferred).
  • Backend & Python Development Build scalable APIs and backend services using Python (FastAPI, Flask, Django or similar).
  • Implement robust data processing, validation, and transformation logic.
  • Ensure high performance, security, and maintainability of codebase.
  • AWS Cloud Engineering.

Experience: -

8+ Years

Location: -

Houston (3 days/Week) First Priority for local candidates

Educational Qualifications: -

  • Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

**Skills: -

Mandatory skills**

Python: Design and deploy cloud native microservices and AI workloads using AWS services such as: SageMaker, Lambda, EC2, S3, Step Functions, DynamoDB, API Gateway, ECS/EKS Implement monitoring, logging, and automated deployment pipelines.

Ensure best practices for cost optimization, reliability, and security

Good-to-Have Skills

  • Knowledge of Java for supporting or integrating with existing microservices.
  • Working experience with Terraform for Infrastructure as Code (IaC).
  • Experience with containerization (Docker) and orchestration (Kubernetes)

Tags & focus areas

Used for matching and alerts on DevFound
Remote Ai Machine Learning Pytorch Tensorflow Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support