Senior GenAI Engineer (AgenticAI)

TL;DR

Senior GenAI Engineer (AgenticAI): Design, build, and deploy scalable GenAI and AgenticAI solutions for industrial environments with an accent on LLM/RAG pipelines, agent orchestration, and time-series + signal processing. Focus on production-grade deployment, observability/evaluation, and optimization of reliability, hallucinations, drift, and cost while integrating with streaming/data infrastructure.

Location: null

Salary: null

Company

hirify.global builds Machine Health and Process Health solutions using purpose-built AI for industrial production insights.

What you will do

• Own the end-to-end lifecycle of GenAI/AgenticAI applications: experimentation, prototyping, production deployment, monitoring, and optimization.
• Design and implement scalable AI systems combining time-series modeling, signal processing, LLMs/embeddings, and classical ML/deep learning.
• Build and optimize production-grade LLM pipelines, including RAG systems, embedding pipelines, multi-agent workflows, tool orchestration, and evaluation frameworks.
• Architect AgenticAI applications using sensor-based industrial time-series data, unstructured text, and existing ML systems.
• Develop backend services and APIs in Python for AI agents and orchestration workflows, integrating with streaming/data infrastructure (e.g., Kafka, NSQ).
• Contribute to MLOps/LLMOps for deployment, observability, evaluation, and monitoring; improve performance, hallucination control, model drift handling, reliability, and cost.

Requirements

• 4+ years of experience across Data Science, Machine Learning, and/or Generative AI.
• Hands-on experience building and deploying GenAI/AgenticAI applications in production environments.
• Strong knowledge of LLMs and prompting, embeddings and vector databases, and RAG architectures.
• Experience with agent orchestration frameworks and evaluation methodologies (e.g., HITL, LLM-as-a-Judge, deterministic evals).
• Strong Python skills across model development, backend services, deployment, and monitoring.
• Experience building scalable APIs, distributed systems, and microservices; familiarity with streaming/data infrastructure.

Culture & Benefits

• People-first, inclusive environment encouraging employees to share perspectives and leverage strengths.
• Commitment to a workplace free from discrimination and harassment.
• Equal opportunity employer with a focus on safe and respectful working conditions.