TraceLink Freshers Hiring 2026 | Agentic AI Engineer | Pune — Apply Now

TraceLink Freshers Hiring 2026 is open — and this one is for the AI-first generation of engineers! TraceLink is seeking an early-career Agentic AI Engineer to join its team in Pune, working on the future of pharmaceutical supply chain orchestration powered by GenAI and multi-agent systems. With 0–2 years of experience required and internships counting toward eligibility, this is an exceptional opportunity for 2024, 2025, and 2026 batch graduates in AI, Machine Learning, Data Science, or Computer Science to work on enterprise-grade AI that directly impacts patient care worldwide.

TraceLink Freshers Hiring 2026 – Full Job Details

About TraceLink

TraceLink is a leading supply chain orchestration platform company dedicated to transforming how the world delivers healthcare. Through its Opus Platform, TraceLink connects hundreds of thousands of manufacturers, distributors, pharmacies, and hospitals across the global life sciences supply chain — ensuring medicines reach patients safely, on time, and in compliance with global regulations. TraceLink has offices across the US, Europe, and Asia-Pacific, with a growing engineering team in India. With a mission rooted in patient safety and supply chain resilience, TraceLink is at the cutting edge of applying AI and agentic systems to enterprise operations.

Role Overview – Agentic AI Engineer

As an early-career Agentic AI Engineer at TraceLink Pune, you will help build and evolve AI-powered systems that automate supply chain workflows for global life sciences companies. You’ll work alongside experienced engineers and data scientists developing agentic AI features — including GenAI/LLM integrations, Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestration systems, and validation strategies for non-deterministic AI outputs. This role sits at the intersection of cutting-edge AI research and real-world enterprise software engineering — a rare combination for an early-career role in India.

Key Responsibilities

• Agentic AI System Development: Support the design and implementation of agentic AI systems using GenAI/LLM frameworks that automate and orchestrate pharmaceutical supply chain workflows.
• Backend Development: Build and maintain backend services and API integrations using Python and/or Java, enabling seamless data flow between AI components and enterprise supply chain systems.
• Multi-Agent Workflow Design: Contribute to multi-agent workflows covering tool execution, routing, agent collaboration patterns, and task orchestration in complex enterprise environments.
• RAG Pipeline Development: Help implement and improve knowledge base systems, including Retrieval-Augmented Generation (RAG) pipelines, grounding strategies, and retrieval quality enhancements.
• AI Testing & Validation: Assist in creating testing and validation strategies for AI systems — including evaluation datasets, regression testing, and behavior monitoring for non-deterministic AI outputs.
• Cloud Integration: Work with cloud platforms (AWS, GCP, or Azure) to deploy and manage AI services, applying cloud-native design principles across the system architecture.
• Experimentation & Iteration: Contribute to AI experimentation cycles — helping the team test new approaches, measure outcomes, and iterate rapidly on AI features and capabilities.

Eligibility Criteria

• Educational Qualification: Master’s or Bachelor’s degree in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or a closely related discipline.
• Batch Year: 2024, 2025, or 2026 graduation batch.
• Experience: 0–2 years of professional experience in software engineering, AI/ML engineering, or ML Ops. Internships and co-ops are explicitly counted toward this requirement.
• Technical Skills (Required): Strong programming in Python and/or Java, familiarity with cloud platforms (AWS, GCP, or Azure — even academic or personal project experience is acceptable), and interest or exposure to Generative AI concepts, LLMs, or agentic workflows.
• Good to Have: Understanding of APIs and services, distributed systems basics, debugging and performance optimization, and data structures & algorithms.
• Communication Skills: Ability to learn quickly, take and act on feedback, and collaborate effectively within a technically diverse engineering team.

Selection Process

The TraceLink Freshers Hiring 2026 process for Agentic AI Engineer is structured for early-career candidates:

• Round 1 – Application Screening: TraceLink’s talent team reviews your application, focusing on your academic background, AI/ML exposure, and project experience.
• Round 2 – Technical Interview: A structured discussion covering Python/Java fundamentals, AI/LLM concepts, cloud basics, and your ability to reason through engineering problems.
• Round 3 – System Design & Culture Fit: A conversation about how you think through building AI systems and how you’d contribute to TraceLink’s mission-driven engineering culture.

Salary & Benefits

TraceLink offers competitive compensation for this early-career role — though the exact salary is not publicly listed. As a global healthcare technology company, TraceLink provides comprehensive health benefits, flexible working arrangements, access to cutting-edge AI research and tools, mentorship from senior AI researchers and engineers, and the chance to work on systems that directly improve patient safety. The company’s culture values curiosity, learning agility, and mission-driven work.

How to Apply for TraceLink Freshers Hiring 2026

1. Click the “Apply Now” button below.
2. You will be taken to TraceLink’s official careers page powered by Greenhouse.
3. Scroll to the Agentic AI Engineer listing and click Apply.
4. Fill in the application form with your academic and professional background.
5. Upload your most recent resume and any relevant portfolio or project links.
6. Submit the application and save your confirmation details.

Frequently Asked Questions – TraceLink Freshers Hiring 2026

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