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Why this grade This listing scored 39/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
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-havesExperience 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.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 21 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.