GenAI Engineer (Full Stack or Backend Engineer)
Contract Independent
Contract W2
Remote
Depends on Experience
StoneGate-Technologies LLC
Fitment
Dice Job Match Score™
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Job Details
Skills
- Must have SkillsCandidates must have ALL five mandatory skills: FastAPI
- FastMCP
- Agentic Workflows
- LLM/GenAI
- and Microsoft Azure along with strong proficiency in Python
- with proven experience designing
- developing
- and implementing applications using FastAPI and FastMCP.Candidates should have hands-on experience developing GenAI solutions and integrating LLMs such as OpenAI GPT and Anthropic Claude
- as well as experience with deployment
- monitoring
- observability
- containerization
- and modern DevOps practices:Ability to build scalable
- production-grade APIs and end-to-end solutions
- covering the complete development lifecycle from implementation and deployment to monitoring and observability.Experience with Microsoft Azure is highly preferred.Familiarity with Azure services such as AKS
- Cosmos DB
- and Azure Cache for Redis is a strong plus.Solid hands-on experience across the Generative AI ecosystem
- including developing applications that consume and integrate with LLMs such as OpenAI GPT and Anthropic Claude.Strong hands-on experience with AI-assisted development tools and IDEs
- such as Claude
- Codex
- and VS Code.Good understanding of DevOps and containerisation practices
- including experience with GitHub Actions
- Docker
- and Kubernetes / AKS.
Summary
Job Title: GenAI Engineer (Full Stack or Backend Engineer)
Remote
Long term
Project description
Join Our Team: Innovating Health Care with Cutting-Edge Technology.
We are looking for an experienced GenAI Engineer to design and develop scalable, production-grade AI applications and APIs. The role requires strong hands-on expertise in FastAPI, FastMCP, Agentic Workflows, LLM/GenAI, and Microsoft Azure, with responsibility across the full application lifecycle from development through deployment, monitoring, and observability.
Responsibilities:
Design and develop scalable GenAI applications and production-grade APIs using Python, FastAPI, and FastMCP.
Build and implement agentic workflows and LLM-powered solutions.
Integrate applications with LLMs such as OpenAI GPT and Anthropic Claude.
Develop and deploy solutions within Microsoft Azure environments.
Own end-to-end application development, deployment, monitoring, and observability.
Implement containerization and CI/CD practices using Docker, Kubernetes/AKS, and GitHub Actions.
Use AI-assisted development tools such as Claude, Codex, and VS Code to accelerate development, debugging, and delivery.
Must have Skills
Candidates must have ALL five mandatory skills: FastAPI, FastMCP, Agentic Workflows, LLM/GenAI, and Microsoft Azure along with strong proficiency in Python, with proven experience designing, developing, and implementing applications using FastAPI and FastMCP.
Candidates should have hands-on experience developing GenAI solutions and integrating LLMs such as OpenAI GPT and Anthropic Claude, as well as experience with deployment, monitoring, observability, containerization, and modern DevOps practices:
Ability to build scalable, production-grade APIs and end-to-end solutions, covering the complete development lifecycle from implementation and deployment to monitoring and observability.
Experience with Microsoft Azure is highly preferred.
Familiarity with Azure services such as AKS, Cosmos DB, and Azure Cache for Redis is a strong plus.
Solid hands-on experience across the Generative AI ecosystem, including developing applications that consume and integrate with LLMs such as OpenAI GPT and Anthropic Claude.
Strong hands-on experience with AI-assisted development tools and IDEs, such as Claude, Codex, and VS Code.
Good understanding of DevOps and containerisation practices, including experience with GitHub Actions, Docker, and Kubernetes / AKS.
Nice to have
Advanced Azure Services: Familiarity with specialized Azure services such as AKS (Azure Kubernetes Service), Cosmos DB, and Azure Cache for Redis.
DevOps & Containerization: Good understanding of modern containerization practices and CI/CD pipelines, including hands-on experience with GitHub Actions, Docker, and Kubernetes.
AI-Assisted Tools: Experience leveraging advanced AI-assisted development tools and IDEs (such as Claude, Codex, and VS Code) for enhanced engineering productivity.
Exceptional communication skills.
Ability to deliver exceptional customer service with a positive attitude.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91093695
- Position Id: 9115883
- Posted 4 hours ago
Company Info
About StoneGate-Technologies LLC
With more than 100+ IT Professionals, we have transactions with 30+ clients. We placed professionals, with expertise in fields such as information systems, and IT infrastructure, enabling us to deliver one-stop solutions addressing virtually the full spectrum of technical needs in the industry in the USA.
In terms of the number of IT professionals and the extensiveness of the fields covered, Stone gate Technologies LLC is one of the USA's best providers of technical human resources services.
Intensifying global competition means that power relationships in IT/ITES circles are shifting rapidly. Along with this, USA's IT structure is faced with the need to transform significantly. Our role is to keep up with USA’s ever-changing industry and capture client needs so as to be the fastest in our industry at providing clients with the human resources and best technical services.
The vision of the SGT is to help engineers realize their dreams, provide clients with high-quality services that surpass their expectations, and consequently contribute to a better society for our clients.
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