AI Engineer- SDE 2

• *About the role**

We're looking for an AI/ML Engineer who can build, develop, and deploy real\-world AI applications from concept to production. You'll work on LLM\-powered applications, AI agents, retrieval systems, and intelligent automation, turning complex problems into scalable, reliable solutions. From designing backend systems and integrating AI capabilities to debugging, testing, and optimizing performance, you'll contribute across the entire development lifecycle. This role goes beyond experimentation or basic API integrations. We value strong engineering fundamentals, hands\-on problem\-solving, and the ability to build AI systems that are reliable, efficient, and ready for real\-world use. You'll collaborate closely with the founders and engineering team, take ownership of meaningful projects, and help shape the architecture and direction of AI\-powered products.

• *What you’ll do**

• 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