Senior AI Engineer

Senior AI Engineer

Remote (India)

About the Role

Building an AI-powered platform that helps revenue teams capture, organize, and retain critical customer knowledge across emails, meetings, conversations, and business systems.

As a Senior AI Engineer, you'll join a small, highly technical founding engineering team and work directly with the CTO to build the intelligence layer that powers the platform. You'll design and deploy production-grade AI systems that transform unstructured business data into actionable insights, account memory, deal intelligence, and workflow automation. This is a high-ownership role where you'll influence architecture, ship AI features end-to-end, and help define the future of our AI platform.

What You'll Do

• Design, build, and maintain AI-powered features using modern LLMs, RAG architectures, and agent-based systems
• Develop and optimize retrieval pipelines, hybrid search systems, and knowledge repositories that power account memory and contextual recommendations
• Build AI agents that automate CRM updates, generate customer insights, identify deal risks, and support revenue workflows
• Design and implement knowledge graph and memory architectures that persist and organize customer context over time
• Develop multimodal AI systems that process and reason across emails, meeting transcripts, CRM records, and other structured and unstructured data sources
• Create evaluation frameworks, benchmarks, and monitoring systems to measure and improve AI quality, accuracy, and reliability
• Collaborate closely with product, engineering, and leadership teams to define and execute AI roadmap initiatives
• Stay current with emerging developments in LLMs, agent orchestration, retrieval systems, and AI infrastructure

What We're Looking For

Must Have

• 5+ years of software engineering experience, with at least 1 year working hands-on with modern LLMs, or 3+ years in AI/ML engineering roles
• Strong experience building and deploying production AI applications using LLMs, RAG, and retrieval systems
• Deep understanding of vector databases such as Pinecone, Weaviate, Qdrant, pgvector, or similar technologies
• Hands-on experience with AI frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent agent orchestration tools
• Strong Python proficiency and experience building scalable backend services
• Experience designing APIs, workflows, and systems that integrate AI capabilities into production products
• Solid understanding of prompt engineering, function calling, tool use, and AI workflow automation

Nice to Have

• Experience designing and implementing knowledge graphs or long-term memory architectures
• Familiarity with multimodal AI systems involving text, audio, transcripts, and structured business data
• Experience with AI evaluation frameworks, observability, and model performance monitoring
• Experience with cloud platforms such as GCP, AWS, or Azure
• Exposure to distributed systems, event-driven architectures, and large-scale data processing pipelines
• Familiarity with Temporal, Airflow, or workflow orchestration platforms
• Experience working in early-stage startups or high-growth product environments
• Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field