AI Engineer
Indexed description
- Programming & Software Engineering: Expertise in Python (and optionally Java, JavaScript, or C#), unit testing, and version control (Git).
- AI/ML Knowledge: Solid grasp of machine learning and AI concepts, model behavior, and experience with NLP or chatbots.
- Prompt Engineering: Experience crafting and iterating prompts, including few-shot examples and output formatting techniques.
- RAG and Data Handling: Familiarity with embedding models, vector databases, and unstructured data processing.
- API and Integration Skills: Building and consuming RESTful APIs, microservices, and handling JSON/XML data formats.
- Data Structures & Algorithms: Knowledge of lists, dictionaries, trees/graphs, and their application in efficient agent design.
- Debugging & Problem-Solving: Strong troubleshooting abilities to distinguish between model and code issues.
- Agile and Collaborative Mindset: Comfortable working in sprints, collaborating across teams, and communicating technical needs.
- Domain Adaptability: Ability to quickly learn new industry concepts for tailored agent solutions.
- Attention to Detail & Quality: Consideration of edge cases, proper data handling, and thorough testing.
- Ethical Awareness: Recognize bias, confidentiality issues, and flag questionable requests.
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 & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Qualifications: BACHELOR OF COMPUTER SCIENCE
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