Why This Role Stands Out
Advance your career as an AI Engineer at Vajraasys Limited, where you'll tackle complex challenges with cutting-edge AI technologies and contribute to impactful projects. This role is perfect for seasoned engineers with a passion for Python, LLMs, and cloud-native development who are eager to grow within a reputable tech company. Seize this fantastic opportunity to apply your expertise and shape the future of AI!
Quick Overview
Job Description
Position- AI Engineer
Location- Minnetonka, Minnesota (Day1 Onsite)
Duration: 6+ Months Contract to Hire
Key Skills -
LLM Experience / RAG / Excellent with Python / Typescript
Required Skills:
5+ years of professional software engineering experience, including ownership of production systems.
Strong software development skills using Python, Go, TypeScript, or comparable backend languages.
Demonstrated experience designing, building, deploying, and operating cloud-native applications on AWS, Azure, Google Cloud Platform, or comparable platforms.
Hands-on experience with infrastructure as code using Terraform or comparable declarative tooling.
Strong working knowledge of Docker, containerization, CI/CD, GitHub, and modern software delivery practices.
Experience with Kubernetes or comparable container orchestration platforms.
Experience designing observable production systems using logging, metrics, tracing, alerting, and operational monitoring.
Hands-on experience building applications using large language models, foundation model APIs, or modern AI development frameworks.
Ability to design APIs, distributed services, asynchronous workflows, and reusable platform components.
Strong understanding of software architecture, testing, reliability, security, and maintainability.
Ability to independently navigate ambiguous technical problems, evaluate tradeoffs, and drive solutions from concept through production.
High agency and demonstrated ability to remain current with rapidly evolving AI technologies and development practices.
Strong written and verbal communication skills, including the ability to explain technical decisions and tradeoffs to technical and non-technical stakeholders.
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