Roles and Responsibilities-

- Design, develop, and deploy AI/ML solutions for real-world business problems.

- Build and integrate LLM-powered applications, AI agents, and intelligent automation workflows.

- Develop backend services, APIs, and system integrations to support AI-driven products.

- Work with RAG pipelines, vector databases, embeddings, and retrieval techniques to improve AI application performance.

- Implement multi-agent workflows, tool calling, and context management where required.

- Evaluate AI model outputs, troubleshoot issues, and improve accuracy, reliability, and performance.

- Optimize AI applications for scalability, response time, and cost efficiency.

- Collaborate with founders, product teams, and engineers to translate business requirements into production-ready solutions.

- Take ownership of features across the development lifecycle, from design and implementation to deployment and continuous improvement.

What we're looking for

- 3–4 years of relevant professional experience in software engineering or AI/ML engineering.

- Strong proficiency in Python and a solid understanding of software engineering principles.





- Hands-on experience developing and deploying LLM-powered applications and AI solutions.

- Practical knowledge of RAG, embeddings, information retrieval, tool calling, and AI agent workflows.

- Experience building APIs, backend services, database integrations, and production-ready systems.

- Ability to troubleshoot complex issues, analyze problems, and make informed technical decisions.

- Strong ownership mindset with the ability to independently manage tasks, solve problems, and deliver results.

Valuable to have

- Experience with LangGraph or other agent orchestration frameworks.

- Experience with LLM evaluation, tracing, observability, and systematic testing.

- Familiarity with Docker, cloud infrastructure, GPU inference, or model serving.

- Experience with real-time voice AI, streaming systems, multimodal models, or AI avatars.

- Experience deploying AI systems in enterprise or on-premises environments.

Pay: Up to ₹1,000,000.00 per year

Benefits

- Flexible schedule

- Paid sick time

- Paid time off

- Work from home

Work Location: In person

📌 AI Engineer (Noida)
🏢 Thrifty AI
📍 Noida