Senior AI ML Engineer

Job DescriptionMust Have Technical/Functional Skill Hands on experience building ML/LLM based applications Proven expertise with embeddings, vector databases, and retrieval pipelines Experience designing agent workflows, prompt strategies, and orchestration Strong Python skills with frameworks like LangChain, LlamaIndex, PyTorch, etc. CI/CD, scalable model deployment, monitoring, and lifecycle managemenRoles & Responsibilities Design and deliver AI/ML, Agentic AI, and LLM‑based solutions end to end Translate business needs into scalable AI architectures and measurable outcomes Build RAG pipelines, embeddings, vector search, and LLM orchestration workflows Develop agentic workflows, prompt strategies, and system guardrails Optimize AI systems for performance, cost, scalability, and reliability Implement MLOps/CI‑CD, monitoring, drift detection, and lifecycle management Ensure production‑grade data pipelines with validation, lineage, and reproducibility Mentor engineers and drive responsible AI governance and architecture decisionsSalary Range: $120,000-$140,000 a yearTCS Employee Benefits SummaryDiscretionary 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