Home JobsAgentic AI Engineer at TraceLink in Pune – Generative AI and Backend Engineering Opportunity

Agentic AI Engineer at TraceLink in Pune – Generative AI and Backend Engineering Opportunity

Sourced from tracelink.com

Agentic AI Engineer

Pune

Full-Time

Posted April 15, 2026

Salary

10-15 LPA

Batches

Freshers

Apply Route

100% Direct

About The Role

TraceLink is a global product company focused on digital supply chain connectivity, helping organizations manage complex supply networks across manufacturing, logistics, and life sciences. Its cloud-based platforms enable visibility, compliance, and intelligent coordination across global supply ecosystems. With growing investment in generative AI and intelligent workflow automation, the company is building agentic systems that improve decision-making and operational efficiency in supply chain environments. This role offers early-career engineers an opportunity to work on practical AI systems where backend engineering, retrieval pipelines, and production-grade intelligence directly support enterprise use cases 📦🤖

Responsibilities

Support design and implementation of agentic AI and generative AI systems for supply chain automation.

Build and maintain backend services and integrations using Python or Java.

Contribute to multi-agent workflows, task orchestration, and tool execution systems.

Help define testing and validation strategies for AI behavior and regression monitoring.

Improve knowledge base systems using retrieval and grounding techniques.

Assist in experimentation with lightweight model fine-tuning and NLP improvement loops.

Collaborate with product and domain teams to translate business requirements into software solutions.

Participate in code reviews, documentation, and production support.

Requirements

Bachelor’s or Master’s degree in AI, ML, Data Science, Computer Science, or related field.
0 to 2 years of experience in software engineering, AI engineering, or ML engineering.
Strong programming skills in Python or Java.
Familiarity with cloud platforms such as AWS, GCP, or Azure.
Understanding of APIs, distributed systems basics, debugging, and algorithms.
Interest in generative AI, LLMs, and agent workflows.

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