AI Engineer - NLP & Prompting Specialist

Tata Consultancy Services; Minnetonka (MN); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Family Support

Insurance Options

Commuter Benefits

Certification & Training Reimbursement

Vacation & Holidays

401K Plan & Bonus

Student Loan Refinancing

Job summary

Tata Consultancy Services is seeking engineers skilled in Python and AI/ML, with a focus on NLP and prompt engineering to build effective agent solutions. You will work with RAG data handling, vector databases, and RESTful APIs within an Agile team environment.

The role emphasizes domain adaptability, attention to detail, and ethical awareness while delivering robust, testable software across microservices and data pipelines.

Qualifications

• Hands-on experience with Python and software engineering practices.
• Experience building and consuming RESTful APIs, microservices, and data formats (JSON/XML).
• Strong fundamentals in prompts, ML concepts, and data handling for AI agents.

Responsibilities

• Design and implement AI/ML driven solutions including NLP/chatbots.
• Craft and iterate prompts, run few-shot experiments, and ensure output formats.
• Integrate AI components with APIs, data stores, and unstructured data pipelines.
• Collaborate in sprints, test edge cases, and maintain code quality with testing.

Skills

AI/ML Knowledge

Prompt Engineering

RAG and Data Handling

API and Integration Skills

Data Structures & Algorithms

Debugging & Problem-Solving

Agile and Collaborative Mindset

Domain Adaptability

Attention to Detail & Quality

Ethical Awareness

Education

Bachelor of Computer Science

Tools

Python

Git

Job description

Tata Consultancy Services is seeking engineers skilled in Python and AI/ML, with a focus on NLP and prompt engineering to build effective agent solutions. You will work with RAG data handling, vector databases, and RESTful APIs within an Agile team environment.

The role emphasizes domain adaptability, attention to detail, and ethical awareness while delivering robust, testable software across microservices and data pipelines.