Senior AI Engineer (AI)

TL;DR

Senior AI Engineer (AI): Building and deploying agentic AI solutions for clients with an accent on multi-agent orchestration, enterprise integration, and production-grade automation. Focus on designing agents, building data pipelines, integrating models with enterprise systems, and ensuring reliable performance.

Location: Remote, United States

Salary: $230,000 - $300,000 a year

Company

hirify.global builds platforms for digital business by weaving together advances in cloud infrastructure, automation, analytics, and software delivery for enterprises.

What you will do

• Design, develop, and deploy multi-agent AI solutions using frameworks such as LangChain, LangGraph, and Autogen.
• Develop custom agents for document processing, workflow automation, SDLC acceleration, and data analysis.
• Integrate LLMs, SLMs, embeddings, and retrieval pipelines (Pinecone, Elasticsearch, Snowflake Cortex) with enterprise systems.
• Build real-time and batch workflows using Python, Kafka, EventBridge, Airflow, and AWS tools.
• Implement monitoring, metrics, and guardrails for multi-agent systems to ensure predictable performance.
• Collaborate closely with client stakeholders to understand use cases and translate business needs into technical designs.

Requirements

• Strong Python engineering background, including async patterns, APIs, and event-driven design.
• Hands-on experience with multi-agent frameworks (LangGraph, Autogen, CrewAI, LangChain, etc.).
• Demonstrated ability to build production ETL, orchestration, or workflow automation pipelines (Kafka, EventBridge, Airflow, AWS services).
• Experience with vector databases and retrieval pipelines (Pinecone, pgvector, Elasticsearch, LlamaIndex).
• Familiarity with MLOps, observability, CI/CD, containerization, and model deployment patterns.
• Experience integrating with enterprise systems or APIs in production.

Nice to have

• Experience with Snowflake Cortex, Databricks Mosaic, NVIDIA NIMs, or similar AI platform components.
• Experience operating agentic systems at scale, including safety constraints and system-level debugging.
• Experience in consulting, client-facing engineering, or co-development models.

Culture & Benefits

• Culture of belonging, where all perspectives and voices are represented and valued.
• Equal opportunity employer with a commitment to diversification and enrichment of ideas.
• Access to top-notch technologies in a multi-million-dollar lab.
• Encouragement for cross-department training, development, and sponsorship for certifications.
• Comprehensive USA employment benefits including Medical, Dental, Vision, and 401(k).
• Paid company holidays, paid time off, and paid parental and caregiver leave.