AI Engineer (n8n)

Indianapolis, Indiana, United StatesRemoteFull TimePosted 2 months ago

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Role summary

TechBiz Global is seeking an AI Engineer for one of its clients, focusing on designing, integrating, and automating business processes using AI agents and workflows, primarily with the n8n platform. The role requires 3-5 years of experience in AI engineering, hands-on expertise with n8n, LLMs, Vector DBs, Postgres, and strong knowledge of data integration and automation. Responsibilities include leading workflow development, implementing RAG pipelines, mastering Python and SQL, collaborating with stakeholders, and creating technical documentation. The position emphasizes clear communication within distributed and client-facing teams.

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a Business Development Executive to join one of our clients' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

The AI Engineer (n8n) will be responsible for designing, integrating, and automating business processed using AI agents, workflows and data pipelines, primarily using the n8n platform. The role requires hands-on technical expertise, collaboration with cross-functional teams, and the ability to communicate technical concepts clearly.

3-5 years of experience as an AI Engineer, AI and Automation Engineer, or similar role.
Proven hands-on experience with the n8n automation platform, LLMs, Vector DBs,

Postgres, etc.

Strong knowledge of data integration and workflow automation.
Experience with REST APIs, webhooks, and various automation tools.
Familiarity with on-premise deployments and/or DevOps practices is an advantage.
Excellent communication and collaboration skills.
Ability to work effectively as an offshore team member within a distributed organization.

Role Description

Lead the development, refinement and management of workflows utilizing n8n, LLMs,

custom ML modelling, vector DBs, Postgres, python scripts and so on.

Good command on RAG pipelines and Agentic RAG systems
Mastery in Python and SQL
Experienced working with data engineers, analysts, and business stakeholders to

understand automation requirements..

Create and maintain technical documentation all solutions.
Foster clear and proactive communication with local and global teams to ensure seamless

project delivery.

RELATIONSHIIPS, FREQUENCY OF INTERACTION:

Internal

(interaction within the organization)

Daily collaboration with Data & AI team members for requirements gathering and solution delivery.
Regular updates to project managers and technical leads on automation progress and challenges.
Weekly alignment meetings with cross-functional project teams.

External

Ad-hoc communication with technology vendors and platform support for troubleshooting and optimization.
Frequent Client interactions for requirement clarification and deployment support, as needed.

Ready to apply?

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