Senior Engineer AI and Machine Learning

Tata Consultancy Services Limited
Aurora, CO, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$86,000.0 - $130,000.0
Working hours
Regular working hours
Job source

Tech stack

ASP.NET Java (Programming Language) Artificial Intelligence Microsoft Azure C Sharp (Programming Language) Cloud Engineering Encodings Continuous Integration Python (Programming Language) Language Modeling Search Technologies Software Deployment
+8 more
Large Language Models Multi-Agent Systems Containerization Kubernetes Virtual Agents Restful APIs Docker Microservices

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: $86,000-$130,000 a year

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