Full Stack Engineer - AI/ML Platforms
ResolveTech Solutions Inc.
United States
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+25 more
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
Job 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.
Requirements
- 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
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