AI Engineer

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Pearster

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

💼 Consulting

📦 Logistics

🎯 Recruiter

Consulting • Logistics • Recruitment

Pearster is a global IT staffing and managed services firm that connects experienced software and infrastructure professionals with companies seeking to scale engineering, data, security, and IT operations teams. They offer staff augmentation, dedicated teams, and managed services with a full-stack talent pool spanning cloud, DevOps, data & AI, product development, network, and security, emphasizing culture fit, time-zone alignment, and transparent pricing.

📋 Description

• Design and prototype agent workflows using LangChain and/or similar frameworks • Develop task automation agents focused on marketing workflows, including campaign execution, reporting, and content validation • Build basic RAG pipelines and ReAct agents to improve 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 proof of concept • Potentially scale agent orchestration using LangGraph, AutoGen, or CrewAI • Containerize workflows and prepare deployment pipelines • Integrate monitoring and observability layers for agent evaluation

🎯 Requirements

• 3+ years of experience in software engineering or machine learning • 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 such as ReAct and Tool-Calling • Practical experience with vector databases such as Pinecone, FAISS, or Weaviate • Experience building Retrieval-Augmented Generation (RAG) pipelines • Proficiency in Python and relevant ML libraries such as Transformers, PyTorch, and LangChain • Familiarity with Docker • Experience deploying ML workloads in cloud environments such as AWS, GCP, or Azure • Ability to work independently and communicate effectively with non-technical stakeholders • Experience with multi-agent frameworks like LangGraph, AutoGen, or CrewAI (nice-to-have) • Previous work on agentic systems applied to marketing automation or related use cases (nice-to-have) • Knowledge of CI/CD practices, container orchestration, and performance monitoring for ML pipelines (nice-to-have) • Awareness of AI ethics, security, and compliance in production-grade applications (nice-to-have) • Demonstrated contributions to open-source projects, published research, or developer communities in the AI/LLM space (nice-to-have)

🏖️ 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