Engineer AI and Machine Learning

Tata Consultancy Services Ltd

  • Seattle, WA
  • 30+ days ago
  • $64,000–$120,000 Per Year

Highlights

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 TCS Employee Benefits Summary: Discretionary Annual Incentive. Must Have Technical/Functional Skills 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.

Numbers & Facts

LocationSeattle, WA
Salary$64,000–$120,000 Per Year

Description

Must Have Technical/Functional Skills 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 TCS Employee Benefits Summary: Discretionary Annual Incentive. 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 #LI-NS4

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