Agentic AI Systems Engineer
About Our Platform
We are building a world-leading Sales Operating System that accelerates enterprise sales motion. Our multi-agent AI system enables actionable account insights, RFP response generation, targeted nudges, and sales content.
Role Overview
As an Agentic AI Systems Engineer, you will design and build the foundational architecture for agentic AI systems at our platform. This is a high-impact role where you'll combine cutting-edge research with practical engineering to bring agent-based reasoning, orchestration, and automation into our enterprise-grade platform.
You'll be hands-on with code, while also shaping technical direction, and evaluating new frameworks. Your work will directly influence how thousands of enterprise users experience AI in their daily sales workflows.
- Architect & Build : Design and implement the core architecture for agentic AI platforms, including multi-agent workflows, orchestration layers, and reasoning pipelines.
- AI Systems Development : Develop, fine-tune, and deploy scalable ML / NLP / LLM-driven services in production.
- Data & Infrastructure : Build and optimize data pipelines for ingestion, training, and real-time serving. Seamlessly embed AI services into our products.
- Performance Optimization : Continuously refine models for accuracy, latency, and enterprise-scale reliability.
- Innovation & Leadership : Stay ahead of emerging frameworks and bring the best into production. Set technical standards, lead design reviews, and mentor junior engineers in AI engineering best practices.
What We're Looking For
Education : B.Tech / M.Tech in Computer Science from a premier instituteExperience : 4–6 years of hands-on experience in AI / ML engineering, with proven impact in building production systems.Technical Skills :
Strong skills in Python, with expertise in designing modular, scalable systems.Hands-on experience with large language models (LLMs), including fine-tuning, retrieval-augmented generation (RAG), and multi-agent orchestration.Familiarity with agent frameworks (LangChain, DSPy, AutoGen, Ray, or equivalents).Solid understanding of distributed systems, microservices, and cloud-native deployments.Strong grounding in data structures, algorithms, and system design with the ability to make architectural trade-offs.(Preferred) Experience with vector databases (Pinecone, Weaviate, FAISS), workflow orchestration, and LLMOps practices.Why Join Us
Build foundational AI systems at the forefront of enterprise sales automation.Work with a world-class team.Hybrid / remote-friendly work culture.Ownership, autonomy, and the chance to shape our AI future.