AI Scientist

About Locus

Battle-tested in 350+ deployments across 30+ countries, Locus is an agentic Transportation Management System for all-mile, all-channel, trusted by enterprises like Unilever, Nestlé, and Siam Makro.

The platform unifies orders, capacity, and carrier networks into one living plan, aligning planning, execution, and settlement so promises become proof. AI co-pilots with guardrails surface risk early and recommend the next best move to protect SLAs and reduce empty miles.

In 2025, Locus joined the Ingka Group (IKEA Retail) family, marking a major milestone in our journey. Backed by the scale and strength of IKEA, we continue to operate independently while accelerating our mission to make global supply chains faster, smarter, and more sustainable.

Our Journey and Impact

Since 2015, Locus has been on a mission to make logistics decision-making intelligent, sustainable, and real-world ready. Our platform has powered billions of deliveries across 30 + countries for global enterprises, driving measurable impact in cost savings, carbon reduction, and SLA performance. With the strength of the IKEA ecosystem behind us, we’re scaling that impact even further.

Our Global Footprint

Headquartered in Bangalore, with teams across the U.S., U.K., UAE, and Southeast Asia, Locus brings together 170 + engineers, designers, and problem-solvers united by a single goal: to reinvent how the world moves goods.

Traits We Value

We look for people who are:

• Global in mindset: curious about diverse markets and ideas.

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  Unrelenting in drive: energized by complex challenges.
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  Intelligent in approach: analytical, creative, and thoughtful.
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  Dynamic in execution: adaptive and decisive in fast-moving contexts.

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  Exact in craft: detail-oriented and committed to excellence.

Role Overview

This role is a critical addition to our growing Data Science team, focusing on the exciting and nascent field of AI agents. The successful candidate will leverage their academic foundation and technical skills to support the entire lifecycle of agent development, from initial concept to deployment and monitoring. Crucially, they will be expected to rapidly learn the state-of-the-art and proactively surface knowledge we are currently missing, significantly contributing to the maturity of our agent-building capabilities.

Key Responsibilities

• Collaborate with senior Data Scientists to design, implement, and deploy AI agents using frameworks like LangChain.

• Focus on evaluating agent performance, identifying failure modes, and implementing iterative improvements, including robust prompt engineering and tool integration.
• Help establish best practices for agent deployment, monitoring, and scaling in a production environment, documenting all findings and emerging knowledge.

• Act as an internal resource to research and highlight current best practices, tooling, and critical knowledge gaps in the field of intelligent agent construction.

Ideal Candidate Profile

• A recent graduate or professional with 2-3 years of experience, ideally holding a degree in Computer Science, Data Science, or a related quantitative field.

• Must have strong foundational skills in Python programming, familiarity with Large Language Models (LLMs), and experience with a core data science stack (e.g., pandas, scikit-learn).
• Demonstrated passion for applied AI, evidenced by personal projects or academic work involving LLMs, RAG (Retrieval-Augmented Generation), or agentic systems.

• A curious, proactive individual who is eager to learn, challenge current assumptions, iterate fast and make incremental progress that compounds.

Why Join Us?