TraceLink is hiring Agentic AI Engineers to build agentic AI and generative AI systems for pharmaceutical supply-chain automation and intelligent workflow automation impacting global life-sciences supply chains.
Disclaimer: This is a third-party opening shared for informational purposes. Cloud Soft Solutions is not the hiring employer; verify all details (eligibility, compensation, job IDs) on the official portal or with the employer before applying.
Role Overview
Location: Pune
Type: Agentic AI Engineer (early career)
Experience: 0–2 years (2024/2025/2026 batches; internships count)
Package / Stipend: As per TraceLink norms (confirm on the listing)
Key Highlights
- Support design and implementation of agentic AI / GenAI systems
- Build and maintain backend services and integrations (Python or Java)
- Contribute to multi-agent workflows, task orchestration and tool execution
- Work on RAG pipelines and validation for non-deterministic AI outputs
Eligibility
- Bachelor's or Master's in AI, ML, Data Science, CS or related
- 0–2 years in software/AI/ML engineering
- Python (or Java) and AI/ML fundamentals
- Interest in agentic systems and RAG
How to Apply
Apply via the official TraceLink careers page or the LinkedIn posting (check the current listing for instructions).
Pro tips: tailor your resume with JD keywords (Python, LLMs, RAG, LangChain, agents), attach a GitHub/portfolio with 2–3 AI projects, and apply early — agentic-AI roles fill fast.
How to Prepare for This Role
Practise agent orchestration and RAG validation with our Agentic AI roadmap and RAG interview questions.
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Frequently Asked Questions
Who can apply for the TraceLink Agentic AI Engineer role?
Bachelor's/Master's graduates in AI, ML, Data Science or CS with 0–2 years (internships count; 2024/2025/2026 batches), Python or Java, and AI/ML fundamentals with an interest in agentic systems and RAG.
How do I apply to TraceLink?
Apply via the official TraceLink careers page or the LinkedIn job posting. It is a Pune-based early-career role building agentic AI for pharma supply chains.