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.
  

Benefits

• Fully remote work arrangement as a contractor.

• Competitive salary in USD.

• 10 paid time off (PTO) days per year.

• 100% company-covered international certifications.

• Access to coworking spaces.

• English classes.

• Engaging team-building activities.

• Personalized gifts.

• Welcome kit.

• Referral programs.