What You’ll Be Doing
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Design and prototype agent workflows using LangChain and/or similar frameworks.
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Develop task automation agents focused on marketing workflows (e.g., campaign execution, reporting, content validation).
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Build basic RAG pipelines and ReAct agents to improve agent response relevance and accuracy.
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Benchmark and test LLMs for speed, cost, and fitness to the use case.
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Work closely with the Hiring Manager To iterate on use cases and validate the POC.
Possible Extensions (Post-POC / Platform Build)
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Scale agent orchestration using LangGraph, AutoGen, or CrewAI.
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Containerize workflows and prepare deployment pipelines.
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Integrate monitoring and observability layers for agent evaluation.
What You Need to Succeed
Must-haves
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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.
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Proven ability to design, prototype, and iterate on solutions using LangChain or similar frameworks.
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Strong understanding of prompt engineering, tool-use chaining, and agent orchestration patterns (e.g., ReAct, Tool-Calling).
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Practical experience working with vector databases such as Pinecone, FAISS, or Weaviate, and building Retrieval-Augmented Generation (RAG) pipelines.
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Proficiency in Python and relevant ML libraries (e.g., Transformers, PyTorch, LangChain).
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Familiarity with Docker and experience deploying ML workloads in cloud environments (AWS, GCP, or Azure).
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Ability to work independently, communicate effectively with non-technical stakeholders, and iterate rapidly in a PoC-driven environment.
Nice-to-haves
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Experience with multi-agent frameworks like LangGraph, AutoGen, or CrewAI.
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Previous work on agentic systems applied to marketing automation or related use cases.
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Knowledge of CI/CD practices, container orchestration, and performance monitoring for ML pipelines.
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Awareness of AI ethics, security, and compliance in production-grade applications.
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Demonstrated contributions to open-source projects, published research, or developer communities in the AI/LLM space.
Benefits
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Fully remote work arrangement as a contractor.
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Competitive salary in USD.
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10 paid time off (PTO) days per year.
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100% company-covered international certifications.
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Access to coworking spaces.
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English classes.
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Engaging team-building activities.
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Personalized gifts.
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Welcome kit.
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Referral programs.
Originally posted on Himalayas
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