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.