Agentic AI Engineer, Scientific Discovery

Cyrad Solutions LLC; New York (NY); Hybrid; USD 250,000 - 600,000; Full time

Benefits offered by this job

Hybrid work schedule (3 days in NYC)

Job summary

Cyrad Solutions LLC is seeking an Agentic AI Engineer to advance an internal AI initiative spanning agentic systems, generative AI, scientific computing, and drug discovery. You will own end-to-end development from prototyping to production, applying AI to research workflows and complex scientific software used by researchers.

The role emphasizes deep software engineering, with strong focus on producing reliable systems and rapid learning across scientific domains to boost researcher

Qualifications

• Experience building complex production systems.
• Hands-on depth in generative AI or AI agents.
• Ability to architect systems from concept to production.
• Strong CS fundamentals.
• Proven record of achievement.
• Curiosity and ability to learn new domains quickly.

Responsibilities

• Design, build, and deploy AI agents and RAG architectures.
• Take ideas from prototype to production at scale.
• Build AI-powered systems for accelerated research workflows.
• Develop data pipelines, automation, and development workflows.
• Integrate AI capabilities with scientific software and ML systems.
• Collaborate with engineers, researchers, and scientists.

Skills

Software engineering

Generative AI

LLM applications

RAG architectures

System design

Academic/technical achievement

Job description

Agentic AI Engineer - Scientific Discovery

About the job Agentic AI Engineer - Scientific Discovery

Location: New York, NY
Work Model: Hybrid
Compensation: $250K to $600K base, plus sign-on and year-end bonuses

Overview

A well-established scientific research organization is standing up a new AI initiative at the intersection of agentic systems, generative AI, scientific computing, and drug discovery. The work is greenfield: rather than maintaining mature systems, the role will help define how AI agents, retrieval systems, and intelligent workflows are built and deployed for researchers working on hard problems in molecular science.

The position is a software engineering role first. It calls for someone who has built complex production systems and now wants to apply that ability to LLM applications, RAG architectures, and AI-assisted research tooling used directly by accomplished scientists and ML researchers. The role carries end-to-end ownership, from initial experimentation and prototyping through production-scale deployment.

The environment rewards technical depth and curiosity. The strongest candidates will be comfortable learning unfamiliar scientific domains quickly and translating emerging AI capabilities into reliable software that measurably increases researcher productivity.

What You'll Do

• Design, build, and deploy AI agents, retrieval systems, and RAG architectures that serve as everyday research tools
• Take ambitious ideas from ambiguous concept through prototype and into production at scale
• Build AI-powered systems that accelerate computational drug discovery and researcher workflows
• Develop data pipelines, feedback loops, automation, and AI-assisted development workflows
• Integrate new AI capabilities with complex scientific software and existing machine learning systems
• Collaborate closely with engineers, ML researchers, and scientists on technically demanding problems

What We're Looking For

• Exceptional software engineering ability with a track record of building complex production systems, infrastructure, or developer tools
• Hands-on experience or serious technical depth in generative AI, AI agents, LLM applications, RAG, or adjacent AI systems
• Demonstrated ability to architect systems and carry projects from open-ended idea to production
• Strong computer science and software engineering fundamentals
• An exceptional record of academic, technical, research, or professional achievement
• Intellectual curiosity and the ability to learn new technical and scientific domains quickly

Preferred

• Scientific computing or research experience
• Exposure to computational chemistry, molecular science, or drug discovery workflows

Compensation

Base salary of $250K to $600K, depending on experience, plus significant variable compensation including sign-on and year-end bonuses. Hybrid schedule with three days per week in the New York City office.