AI Lead Engineer - Agentic Platforms

About OrbitShift

At OrbitShift, we are building the world’s first AI-native Sales Operating System , trusted by enterprise teams to accelerate their sales motion. Our multi-agent AI system enables actionable account insights, RFP response generation, targeted nudges, and sales content. Backed by Peak XV (formerly Sequoia Capital), Stellaris Venture Partners, and other marquee investors , we are a fast-growing, 3-year-old startup with a team from Amazon, McKinsey, IIT, and Stanford . Now, we are looking for a hands-on AI Lead Engineer to architect and scale the next frontier of our platform: agentic AI systems for enterprise sales .

Role Overview

As AI Lead Engineer – Agentic Platforms , you will take end-to-end ownership of designing and building the foundational architecture for multi-agent AI systems at OrbitShift. 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.

Key Responsibilities

• 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 OrbitShift 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 institute
• Experience: 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 (AWS/GCP/Azure).
• 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 (monitoring, evaluation, guardrails).

Why Join Us

• Build foundational AI systems at the forefront of enterprise sales automation.
• Work with a world-class team and top-tier investors.
• Hybrid/remote-friendly work culture.
• Ownership, autonomy, and the chance to shape OrbitShift’s AI future.