Highlights
Design, develop, deploy. Join our team of experts in AI and automation.
Description
Job Summary
pWe are seeking a talented AI Automation Developer to join our dynamic team. In this role, you will design and develop AI agents and multi-agent systems, integrating them into real-world client use cases. You will work on building Retrieval-Augmented Generation (RAG) pipelines, no-code automation workflows, and more.
Responsibilities
- Design and develop AI agents using frameworks like LangChain, CrewAI, or AutoGen.
- Integrate large language models into client-facing products and internal tools.
- Build RAG pipelines using vector databases such as Pinecone or Weaviate.
- Create production-grade automation workflows with platforms like n8n or Zapier.
- Collaborate with project managers to translate business requirements into automated solutions.
- Monitor, debug, and maintain deployed automations in production.
Required Skills
- AI Agent Development
- RAG Pipelines
- No-Code Automation
- Large Language Models Integration
- Vector Databases Management
Required Skills Explained
- LangChain, LangGraph, CrewAI, AutoGen: These frameworks are essential for designing and deploying AI agents and multi-agent systems.
- LLM APIs from OpenAI, Anthropic Claude, Gemini: Integration of these APIs into client-facing products requires hands-on experience to build real-world solutions.
- No-code Automation Platforms like n8n, Make (Integromat), Zapier: Knowledge in building production-grade workflows without coding is crucial for efficiency and speed.
- Python: Primarily used for scripting, API integration, and connecting services. Familiarity with JavaScript is also beneficial.
- Pinecone, ChromaDB, Weaviate: Working knowledge of vector databases is necessary for building Retrieval-Augmented Generation (RAG) pipelines.
- AWS Lambda, Railway, Render: Experience in basic cloud deployments enhances the ability to deploy and maintain automations reliably.
Who is this for
pThis role is ideal for experienced automation developers looking to work on cutting-edge AI projects. You should have a passion for technology and a knack for solving complex problems.
Why This Job is a Good Opportunity
ulliChallenging Projects: Work on real-world client use cases that push your technical limits and creativity.liCompetitive Tech Stack: Opportunities to work with cutting-edge AI frameworks, vector databases, and no-code platforms.liRapid Growth in AI: Join a field that is rapidly evolving and offering numerous growth opportunities.liClient Interaction: Collaborate directly with clients, translating business requirements into automated workflows.liProactive Role: Stay ahead of the curve by continuously recommending new approaches to benefit client projects.
Interview Preparation Tips
- Highlight Relevant Experience: Share specific instances where you have integrated LLM APIs or built no-code automation solutions.
- Showcase Technical Proficiency: Demonstrate your hands-on experience with AI frameworks and vector databases through examples.
- Promote Problem-Solving Skills: Prepare to discuss how you approach complex problems in automated workflows.
- Discuss Cloud Deployment Experience: Highlight any projects where you have deployed automations using AWS Lambda or similar platforms.
- Show Adaptability: Be ready to talk about your ability to work with different AI and automation tools effectively.
Career Growth in This Role
pThe role of an Automation Developer offers a multitude of growth opportunities. You can specialize further in specific areas such as natural language processing (NLP), machine learning, or cloud deployment. Additionally, you could transition into more senior roles like Senior Automation Engineer or even move towards management positions overseeing multiple automation projects.pAs the field of AI continues to evolve rapidly, staying updated with the latest tools and techniques will be key to advancing in your career. This role provides a solid foundation for those looking to make a significant impact in the IT services and consulting industry through innovative automation solutions.
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Skills
Frequently Asked Questions
What kind of experience is required for this role?Candidates should have at least 2 years of hands-on experience in AI integration or automation development.
Is prior freelance or agency experience necessary?Prior exposure to client-facing delivery is a plus, but not mandatory. We value hands-on experience over coursework alone.
What kind of cloud deployment experience do you need?Basic experience with services like AWS Lambda, Railway, or Render would be beneficial.
