AIML Engineer
Actively Hiring
Full-time $140k - $165k Posted about 1 month ago
Responsibilities
- check_circle Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python
- check_circle Design and implement RAG pipelines over enterprise data using embeddings and vector databases
- check_circle Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as
- check_circle Integrate AI systems with APIs, backend services, and cloud platforms
- check_circle Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)
Basic qualifications
- Strong Python expertise with experience building and deploying production-grade backend systems
- Hands-on experience developing applications using LLMs, including prompt engineering and orchestration
- Proven experience with RAG architectures, embeddings, and vector databases
- Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen)
- Strong system design skills with experience building and scaling cloud-based applications
Benefits
- check_circle Discretionary Annual Incentive.
- check_circle Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- check_circle Family Support: Maternal & Parental Leaves.
- check_circle Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- check_circle Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- check_circle Time Off: Vacation, Time Off, Sick Leave & Holidays.
- check_circle Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Tags & Focus Areas
Ai Machine Learning Generative Ai
About Tata Consultancy Services (TCS)
Programming Languages & Ecosystems Mathematical & Statistical Concepts Machine Learning & Deep Learning Data Wrangling & Database Management Data Visualization & Storytelling Cloud Platforms & Services Big Data Technologies Natural Language Processing (NLP) MLOps (Machine Learning Operations) & Software Engineering Practices Data Governance & Ethics Experimentation & A/B Testing Locations: San Jose-CA, RTP-NC, Austin-TX, Dallas-TX.