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Ai Engineer Agentic Ai & Workflow Prototyping @ IBM

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IBM  Ai Engineer Agentic Ai & Workflow Prototyping

Job Description

We are building a small, elite AI strike team embedded in the Marketing, Communications, and CSR (MCC) Strategy & Operations team. The mission is to move fast, explore whats possible with agentic and conversational AI, and prove value quicklybefore anything is scaled or productionized elsewhere.

This team operates as a rapid-action unit focused on experimentation, learning, and proof-of-value rather than long-term platforms or production systems.

In this role, you are a hands-on builder on that squad. You design and prototype AI agents, copilots, and workflows that turn loosely defined ideas into tangible demonstrations that inform clear go / no-go decisions.


THIS ROLE IS


A hands-on builder on a small, elite AI delivery team


Focused on agentic AI, copilots, and workflow experimentation


Optimized for speed, iteration, and learning


Embedded in MCC Strategy & Operations

 

THIS ROLE IS NOT


A long-term AI platform or MLOps role


A research-only or theory-heavy position


A large-team engineering role


A reporting or dashboarding function

 

KEY RESPONSIBILITIES


Design and build rapid AI and automation prototypes


Develop agentic workflows using LLMs, tools, and reasoning patterns


Experiment with RAG, tool-calling, and orchestration approaches


Translate incomplete ideas into working proofs of concept


Surface technical risks, constraints, and limitations early


Iterate prototypes quickly based on feedback and usage


Structure experiments for clean handoff if scaled

Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise


Hands-on experience with AI/ML or LLM-based systems


Strong Python skills and familiarity with modern AI tooling


Experience with agentic or orchestration patterns


Comfort working without fixed specs or architectures


Proven ability to move quickly from idea to working artifact

Preferred technical and professional experience


Experience with vector databases or RAG systems


Exposure to workflow automation tools


Familiarity with marketing or GTM use cases

Years of Experience:
2 - 8

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Quality Assurance and Testing
Role: Blockchain Quality Assurance Engineer
Employement Type: Full time

Contact Details:

Company: IBM
Location(s): Bengaluru

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Keyskills:   ai engineer mlops python csr prototyping conversational ai ai llm vector databases research marketing automation automation tools operations workflow automation use cases design ai platform ml

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