AI Engineer

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.

Good 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