Senior AI ML Engineer

Job Description Must 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 Lang Chain, Llama Index, PyTorch, etc.
• CI/CD, scalable model deployment, monitoring, and lifecycle management

• 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 decisions

$120,000-$140,000 a year

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 & Training Reimbursement.

Time Off:
Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance:
Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

BACHELOR OF COMPUTER SCIENCE