AI Engineer

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.

- Competitive salary in USD.

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

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100% company-covered international certifications.

- Access to coworking spaces.

- English classes.

- Engaging team-building activities.

- Personalized gifts.

- Welcome kit.

- Referral programs.

Originally posted on Himalayas