AI Engineer

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AI Engineer – Agent-Oriented LLM Workflows

We're redefining how small and medium businesses access world-class marketing through intelligent automation. We're looking for a Senior AI Engineer to help us deliver a proof of concept (POC) for a platform where autonomous agents accelerate marketing strategy execution, reduce operational costs, and empower decision-making through AI.

Start date: ASAP

Contract type: Contractor - 3 months, with the possibility of extension

Work hours: Monday to Friday, 8.00 am to 5.00 pm PST - 100% Remote

Reporting Line: Directly to Hiring Manager

Team: You will be the first AI Engineer onboarded for this initiative.

What You'll Be Doing

• Design and prototype agent workflows using LangChain and/or similar frameworks.
• Develop task automation agents focused on marketing workflows (e.g., campaign execution, reporting, content validation).
• Build basic RAG pipelines and ReAct agents to improve agent response relevance and accuracy.
• Benchmark and test LLMs for speed, cost, and fitness to the use case.
• Work closely with the Hiring Manager To iterate on use cases and validate the POC.
  
  

Possible Extensions (Post-POC / Platform Build)

• Scale agent orchestration using LangGraph, AutoGen, or CrewAI.
• Containerize workflows and prepare deployment pipelines.
• Integrate monitoring and observability layers for agent evaluation.
  
  

What You Need to Succeed

Must-haves

• 3+ years of experience in software engineering or machine learning, with at least 1 year of hands-on experience building LLM-based workflows or autonomous agents.
• Proven ability to design, prototype, and iterate on solutions using LangChain or similar frameworks.
• Strong understanding of prompt engineering, tool-use chaining, and agent orchestration patterns (e.g., ReAct, Tool-Calling).
• Practical experience working with vector databases such as Pinecone, FAISS, or Weaviate, and building Retrieval-Augmented Generation (RAG) pipelines.
• Proficiency in Python and relevant ML libraries (e.g., Transformers, PyTorch, LangChain).
• Familiarity with Docker and experience deploying ML workloads in cloud environments (AWS, GCP, or Azure).
• Ability to work independently, communicate effectively with non-technical stakeholders, and iterate rapidly in a PoC-driven environment.
  
  

Nice-to-haves

• Experience with multi-agent frameworks like LangGraph, AutoGen, or CrewAI.
• Previous work on agentic systems applied to marketing automation or related use cases.
• Knowledge of CI/CD practices, container orchestration, and performance monitoring for ML pipelines.
• Awareness of AI ethics, security, and compliance in production-grade applications.
• Demonstrated contributions to open-source projects, published research, or developer communities in the AI/LLM space.
  
  

Our Recruitment Process

Here's what to expect from our candidate-friendly interview process:

• Initial Interview – 60 minutes with our Talent Acquisition Specialist
• Culture Fit – 30 minutes with our Team Engagement Manager
• Technical Assessment - Python, LangChain, LLM
• Final Stage – 60 minutes with the Hiring Manager (Technical Interview)
  
  

Why Join Launchpad?

We believe that great work starts with great people. At Launchpad, we offer:

• Fully remote work with hardware provided
• Global team experience with clients in [regions]
• Competitive USD compensation
• Training and learning stipends
• Paid Time Off (vacation, personal, study)
• A culture that values autonomy, purpose, and human connection
  
  

Apply now and let's architect what's next together.Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionEngineering and Information Technology
• IndustriesIT Services and IT Consulting

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