Note: The job is a remote job and is open to candidates in USA. Snowrelic Inc is seeking an AI/ML Engineer to build and deliver enterprise AI-powered applications and business solutions. The role focuses on developing production-ready generative AI systems using technologies such as LLMs, RAG architectures, vector databases, and AI agents, while owning architecture, deployment, monitoring, security, and operational support.
Responsibilities
- Proven experience designing, developing, testing, and deploying enterprise-grade applications
- Strong hands-on development experience with Python, APIs, microservices, cloud platforms, and modern software engineering practices
- Experience building production-ready solutions using LLMs, RAG architectures, vector databases, AI agents, prompt engineering, and enterprise AI integrations
- Ability to demonstrate real-world implementations and business outcomes
- Experience designing scalable solutions and taking applications from concept to production
- Understanding of cloud architecture, CI/CD, monitoring, observability, security, and operational support
- Strong communication and collaboration skills
- Demonstrates curiosity, adaptability, professionalism, and a willingness to learn and solve problems
- Must be comfortable working directly with engineers, product owners, business stakeholders, and leadership teams
Skills
- Role: AI/ML Eng (5+ years experience)
- Work Authorization: EAD/GC/Citizen
- 4 8 Years Of Strong Software Engineering Experience
- Proven experience designing, developing, testing, and deploying enterprise-grade applications
- Strong hands-on development experience with Python, APIs, microservices, cloud platforms, and modern software engineering practices
- We are not looking for candidates whose primary experience is model training, data analysis, statistical research, or academic AI/ML work
- We are looking for engineers who have successfully built and deployed AI-powered applications and business solutions
- Experience building production-ready solutions using LLMs, RAG architectures, vector databases, AI agents, prompt engineering, and enterprise AI integrations
- Ability to demonstrate real-world implementations and business outcomes
- Experience designing scalable solutions and taking applications from concept to production
- Understanding of cloud architecture, CI/CD, monitoring, observability, security, and operational support
- Strong communication and collaboration skills
- Demonstrates curiosity, adaptability, professionalism, and a willingness to learn and solve problems
- Must be comfortable working directly with engineers, product owners, business stakeholders, and leadership teams
- Location: Remote (MN preferred)
Benefits
- 3-month contract (Could be extended for 6 months before conversion)
- Remote (MN preferred)
Company Overview