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# Full Stack Engineer - AI/ML Platforms

- **Company:** ResolveTech Solutions Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, DevOps, Distributed Systems, Django Web Framework, Python (Programming Language), Machine Learning, RabbitMQ, Tensorflow, Software Engineering, Systems Integration, Web Applications, Google Cloud, Enterprise Software Applications, ReactJS, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Backend, Fastapi, Build Management, Containerization, AngularJS, Kubernetes, Deployment Automation, Apache Kafka, Front End Software Development, Virtual Agents, Restful APIs, Terraform, Docker, Golang, Microservices
- **Published:** May 23, 2026
- **Apply:** https://www.dice.com/job-detail/53e18124-05f0-4d21-bf3e-70ec89082943

## About the Role

* 10+ years of software engineering experience.
 * Strong hands-on experience with Python and Golang.
 * Experience with AI/ML frameworks and LLM integrations.
 * Hands-on exposure to CrewAI or multi-agent AI frameworks.
 * Strong knowledge of APIs, distributed systems, and microservices.
 * Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
 * Experience with containerization and orchestration tools.

Preferred Skills

 * LangChain, AutoGen, OpenAI APIs
 * Vector databases (Pinecone, FAISS, Weaviate, ChromaDB)
 * FastAPI, Flask, Django
 * ReactJS/Angular
 * Kafka/RabbitMQ
 * Terraform and Infrastructure as Code

## Description

* Python
 * Golang
 * CrewAI
 * AI/ML
 * LLM Integrations
 * REST APIs
 * Microservices
 * Docker/Kubernetes
 * Cloud (AWS/Azure/Google Cloud Platform), We are looking for a highly experienced Full Stack Engineer with strong expertise in Python, Golang, and AI/ML technologies to design and build scalable AI-powered applications and autonomous agent-based solutions using CrewAI frameworks. The ideal candidate should have experience developing distributed systems, integrating LLMs, and building enterprise-grade microservices and modern web applications., * Design and develop scalable full-stack applications using Python and Golang.
 * Build AI agent orchestration workflows using CrewAI.
 * Integrate AI/ML models, LLMs, and vector databases into enterprise applications.
 * Develop RESTful APIs and microservices architectures.
 * Work with frontend technologies such as React/Angular and backend frameworks.
 * Deploy and manage applications using Docker and Kubernetes.
 * Collaborate with AI engineers, DevOps teams, and product stakeholders.
 * Optimize performance, scalability, and security of AI applications.
 * Implement CI/CD pipelines and cloud-native deployment strategies.


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