Key Responsibilities

- Design and architect scalable AI systems and platforms
- Lead development of agentic AI products and autonomous workflows
- Build advanced RAG, memory, planning, and reasoning systems
- Develop production-grade multi-agent architectures
- Optimize AI application performance, reliability, and cost
- Establish evaluation, monitoring, and observability frameworks
- Mentor junior AI engineers and review technical designs
- Collaborate with founders on product and technology strategy
- Drive adoption of emerging AI technologies across products

Requirements

- 3–5+ years of software engineering, AI engineering, or ML engineering experience
- Strong expertise in Python and backend engineering
- Proven experience shipping AI systems to production
- Deep understanding of:

· Agentic AI architectures

· Multi-agent systems

· Tool calling frameworks

· Memory architectures

· RAG and retrieval systems

· LLM evaluation and optimization

· Prompt engineering and reasoning workflows

Strong experience with:

· LangGraph





· LangChain

· CrewAI

· AutoGen

· LlamaIndex

· OpenAI APIs

· HuggingFace

- Experience with vector databases and retrieval infrastructure
- Strong API and distributed systems knowledge
- Experience deploying AI systems on cloud infrastructure
- Ability to independently own projects from architecture to deployment

Preferred Qualifications

- Experience with Voice AI and conversational AI systems
- GPU optimization and inference infrastructure
- Knowledge of AI observability and evaluation tooling
- Experience building enterprise AI products
- Open-source contributions or published technical work
- Experience managing or mentoring engineers
- Strong understanding of modern AI-assisted engineering workflows

Pay: Up to ₹1,700,000.00 per year

Benefits:

- Versatile schedule
- Paid sick time
- Paid time off
- Work from home

Work Location: In person

📌 AI/ML Engineer (Noida)
🏢 Thrifty AI
📍 Noida