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Ayass BioScience, LLC · 5 months ago

Agentic AI Engineer - Autonomous Biological Discovery Systems - Biotech Industry

Frisco, TX

Full-time

Onsite

Mid, Senior Level

$190K/yr - $300K/yr

3+ years exp

Ayass BioScience, LLC is seeking a visionary Agentic AI Engineer to architect and implement autonomous AI systems that will revolutionize transcriptome analysis and precision medicine. The role involves creating intelligent systems capable of independent reasoning and planning to conduct complex biological research workflows. Responsibilities include designing multi-agent systems, developing reasoning engines, and integrating knowledge for continuous learning in biological contexts.

BiotechnologyHealth CareMedicalOnline Portals

Responsibilities

Design and implement multi-agent systems for autonomous transcriptome analysis

Develop agentic workflows that can dynamically select analysis methods based on data characteristics

Create autonomous decision-making frameworks for quality control and sample processing

Build self-improving systems that learn from experimental outcomes

Implement feedback loops enabling continuous workflow optimization

Develop causal reasoning engines for biological hypothesis generation

Implement Monte Carlo Tree Search and similar algorithms for experimental planning

Create counterfactual reasoning capabilities for testing gene function hypotheses

Build temporal reasoning systems for understanding gene expression dynamics

Design explanation generation systems for autonomous decision documentation

Create agents that can autonomously navigate from raw sequencing data to biological insights

Implement dynamic pipeline selection based on data quality and research objectives

Develop agents capable of identifying and resolving batch effects without human intervention

Build systems that can autonomously formulate follow-up experiments

Design collaborative multi-agent architectures for complex biological problems

Implement continuous learning systems that update from new scientific literature

Create knowledge graphs that agents can query and update autonomously

Develop mechanisms for resolving contradictions between different data sources

Build systems for autonomous validation of biological findings

Design meta-learning frameworks for improving agent performance over time

Partner with LLM Engineers to integrate reasoning capabilities into autonomous agents

Work with Software Engineers to build scalable agent execution platforms

Collaborate with Bioinformaticians to encode domain expertise into agent behaviors

Interface with Clinical teams to ensure agent decisions meet regulatory standards

Design APIs for human-agent collaboration interfaces

Create monitoring dashboards for autonomous system oversight

Implement audit trails for all autonomous decisions

Build simulation environments for agent testing and validation

Qualification

Agentic AI ArchitecturesAutonomous Systems DevelopmentPython ProgrammingReinforcement LearningCausal InferenceProbabilistic ReasoningMulti-Agent AIWorkflow AutomationSystems ThinkingCollaboration SkillsTechnical WritingProblem Solving

Required

MS/PhD in Computer Science, AI, Robotics, or related field

3+ years of experience in autonomous systems or multi-agent AI

Expert proficiency in Python with focus on agent frameworks (LangChain, AutoGPT, AgentGPT)

Strong background in reinforcement learning and planning algorithms

Experience with causal inference and probabilistic reasoning

Proven track record in building production autonomous systems

Deep understanding of agentic AI architectures and design patterns

Experience with LLM orchestration and tool use

Knowledge of symbolic reasoning and knowledge representation

Familiarity with neurosymbolic AI approaches

Experience with distributed agent systems

Ability to design complex, self-organizing systems

Experience with workflow orchestration and automation

Understanding of feedback control systems

Knowledge of system reliability and fault tolerance

Preferred

Experience with biological or medical AI applications

Knowledge of bioinformatics workflows and pipelines

Familiarity with laboratory automation systems

Understanding of clinical trial design and execution

Publications in autonomous AI or multi-agent systems

Experience with robotic process automation

Background in cognitive architectures

Demo of an autonomous agent you've built

Benefits

Comprehensive benefits package with equity participation

Dedicated budget for AI research and experimentation

Conference attendance and publication support

Remote-first culture with quarterly team gatherings

Company

Ayass BioScience, LLC

Ayass BioScience, LLC was established in 2014 with a mission to provide early disease detection, develop a disease monitoring system, and ultimately achieve better patient outcome by implementing Molecular Modern Medicine to daily clinical practice.

Founded in 2014

Frisco, Texas, USA

11-50 employees