Mid-Senior level
Posted March 4, 2026
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Responsibilities
Commitments
Responsibilities
- Design, develop, and maintain scalable backend services using Python
- Build and optimize APIs using modern frameworks such as Flask, FastAPI, or Django
- Develop responsive and user-friendly front-end applications using React or Angular
- Architect and deploy production-ready Generative AI solutions, including:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG) pipelines
- AI Agents / Agentic AI systems
- Model Context Protocol (MCP) implementations
- AI safety guardrails and monitoring
- Integrate AI models with enterprise systems and cloud environments
- Ensure application performance, scalability, security, and reliability
- Collaborate with cross-functional teams including product managers, data scientists, and DevOps engineers
- Participate in code reviews and follow best engineering practices Required Qualifications
Commitments
Location: Hopkins, MN (3Days Onsite/Hybrid)
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Requirements
- Design, develop, and maintain scalable backend services using Python
- Develop responsive and user-friendly front-end applications using React or Angular
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG) pipelines
- AI Agents / Agentic AI systems
- Model Context Protocol (MCP) implementations
- AI safety guardrails and monitoring
- Integrate AI models with enterprise systems and cloud environments
- Ensure application performance, scalability, security, and reliability
- Collaborate with cross-functional teams including product managers, data scientists, and DevOps engineers
- Participate in code reviews and follow best engineering practices Required Qualifications
- Strong proficiency in Python
- Experience with web frameworks such as Flask, FastAPI, or Django
- Hands-on experience with front-end frameworks like React or Angular
- Proven experience building and deploying GenAI/LLM-based applications in production
- Experience with RAG architectures, embeddings, vector databases, and AI orchestration frameworks
- Understanding of AI guardrails, prompt engineering, and evaluation frameworks
- Familiarity with REST APIs, microservices architecture, and cloud platforms
Preferred Skills
- Familiarity with REST APIs, microservices architecture, and cloud platforms
- Experience with containerization (Docker, Kubernetes)
- Exposure to CI/CD pipelines
- Knowledge of scalable system design and distributed systems
- Strong problem-solving skills and ability to work in a fast-paced environment
Job Title: Software Engineer
Location: Hopkins, MN (3Days Onsite/Hybrid)
Job Type: W2
About The Role
We are seeking a highly skilled Software Engineer with strong expertise in Python and modern web technologies, along with hands-on experience building and deploying production-grade Generative AI solutions. The ideal candidate is comfortable working across the full stack and has experience designing scalable, secure, and high-performance AI-driven applications.
Key Responsibilities
Design, develop, and maintain scalable backend services using Python
Build and optimize APIs using modern frameworks such as Flask, FastAPI, or Django
Develop responsive and user-friendly front-end applications using React or Angular
Architect and deploy production-ready Generative AI solutions, including:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG) pipelines
AI Agents / Agentic AI systems
Model Context Protocol (MCP) implementations
AI safety guardrails and monitoring
Integrate AI models with enterprise systems and cloud environments
Ensure application performance, scalability, security, and reliability
Collaborate with cross-functional teams including product managers, data scientists, and DevOps engineers
Participate in code reviews and follow best engineering practices Required Qualifications
Strong proficiency in Python
Experience with web frameworks such as Flask, FastAPI, or Django
Hands-on experience with front-end frameworks like React or Angular
Proven experience building and deploying GenAI/LLM-based applications in production
Experience with RAG architectures, embeddings, vector databases, and AI orchestration frameworks
Understanding of AI guardrails, prompt engineering, and evaluation frameworks
Familiarity with REST APIs, microservices architecture, and cloud platforms
Preferred Qualifications
Experience with containerization (Docker, Kubernetes)
Exposure to CI/CD pipelines
Knowledge of scalable system design and distributed systems
Strong problem-solving skills and ability to work in a fast-paced environment
Follow us over Linkedin - https://www.linkedin.com/company/hyr-global-source-inc
To Get more job notifications
Location: Hopkins, MN (3Days Onsite/Hybrid)
Job Type: W2
About The Role
We are seeking a highly skilled Software Engineer with strong expertise in Python and modern web technologies, along with hands-on experience building and deploying production-grade Generative AI solutions. The ideal candidate is comfortable working across the full stack and has experience designing scalable, secure, and high-performance AI-driven applications.
Key Responsibilities
Design, develop, and maintain scalable backend services using Python
Build and optimize APIs using modern frameworks such as Flask, FastAPI, or Django
Develop responsive and user-friendly front-end applications using React or Angular
Architect and deploy production-ready Generative AI solutions, including:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG) pipelines
AI Agents / Agentic AI systems
Model Context Protocol (MCP) implementations
AI safety guardrails and monitoring
Integrate AI models with enterprise systems and cloud environments
Ensure application performance, scalability, security, and reliability
Collaborate with cross-functional teams including product managers, data scientists, and DevOps engineers
Participate in code reviews and follow best engineering practices Required Qualifications
Strong proficiency in Python
Experience with web frameworks such as Flask, FastAPI, or Django
Hands-on experience with front-end frameworks like React or Angular
Proven experience building and deploying GenAI/LLM-based applications in production
Experience with RAG architectures, embeddings, vector databases, and AI orchestration frameworks
Understanding of AI guardrails, prompt engineering, and evaluation frameworks
Familiarity with REST APIs, microservices architecture, and cloud platforms
Preferred Qualifications
Experience with containerization (Docker, Kubernetes)
Exposure to CI/CD pipelines
Knowledge of scalable system design and distributed systems
Strong problem-solving skills and ability to work in a fast-paced environment
Follow us over Linkedin - https://www.linkedin.com/company/hyr-global-source-inc
To Get more job notifications