Engineer AI and Machine Learning
Role details
Job location
Tech stack
Requirements
AI; C#; ASP.NET 4.5; Java; LLM; Python; Vector; Semantic Kernel; AI Foundry
Roles & Responsibilities
8+ years of Strong proficiency in Python, C#, or Java
Hands-on experience in building RAG-based systems and implement RAG pipelines using embeddings, vector search, and LLMs
Solid experience with Vector Databases and embedding-based search e.g. Azure AI Search
Practical experience with Semantic Kernel, AI Foundry, Lang Chain, LlamaIndex, or similar frameworks, Azure Services
Experience working with LLMs (Azure OpenAI, OpenAI, Anthropic, or equivalent)
Strong understanding of REST APIs, microservices, and cloud-native architectures
Experience in developing secure, scalable APIs and services to support AI-driven applications
Ensure best practices around security, data privacy, observability, and cost optimization
Experience in building multi-agent and tool-using workflows using Semantic Kernel, AI Foundry, or similar orchestration frameworks
Collaborate with product, data science, and platform teams to translate business requirements into AI solutions
Experience deploying applications on cloud platforms (Azure preferred)
Familiarity with CI/CD, containerization (Docker), and orchestration (Kubernetes is a plus)
Generic Managerial Skills
LLMs (Azure OpenAI; OpenAI; Anthropic; Microservices; Azure DevOps; Docker; Kubernetes
Benefits & conditions
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $64,000-$120,000 a year
