AI Engineer

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. Originally posted on Himalayas