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Ayass BioScience, LLC · 5 months ago

Senior Software Engineer - AI-Powered Genomics Platform - Biotech Industry

Frisco, TX

Full-time

Onsite

Senior Level

$170K/yr - $260K/yr

5+ years exp

Ayass BioScience, LLC is seeking a Senior Software Engineer to build foundational infrastructure for their AI-powered transcriptome analysis platform. This role involves developing scalable systems for processing large genomic datasets and integrating AI workflows to enhance biological research. The engineer will work on platform architecture, AI infrastructure engineering, and data processing to support autonomous discovery in genomics.

BiotechnologyHealth CareMedicalOnline Portals

Responsibilities

Design and implement distributed systems for processing petabyte-scale genomic datasets

Build high-performance APIs supporting 10,000+ concurrent AI agent requests

Develop microservices architecture for modular AI component integration

Create real-time data streaming pipelines for continuous genomic analysis

Implement fault-tolerant systems with 99.99% uptime requirements

Build scalable infrastructure for LLM deployment and inference optimization

Develop orchestration systems for multi-agent AI workflows

Create GPU/TPU cluster management for distributed AI processing

Implement caching strategies for billion-parameter model inference

Design model versioning and A/B testing frameworks

Develop high-throughput pipelines for RNA-seq data processing

Implement efficient storage solutions for 20,000+ gene expression matrices

Create data validation and quality control frameworks

Build real-time monitoring for genomic data integrity

Design compression algorithms for efficient genomic data storage

Create unified APIs connecting LLMs, agents, and biological databases

Implement FHIR-compliant interfaces for clinical data integration

Build connectors for major genomic databases (GEO, TCGA, GTEx)

Develop webhook systems for laboratory instrument integration

Create SDKs for researcher and clinical user access

Partner with LLM Engineers to optimize model serving infrastructure

Support Agentic AI Engineers with scalable agent execution platforms

Collaborate with Bioinformaticians on pipeline optimization

Work with Security teams on HIPAA-compliant implementations

Define engineering standards and best practices

Mentor junior engineers on distributed systems design

Lead architecture reviews and technical decision-making

Drive adoption of new technologies and methodologies

Qualification

PythonDistributed systemsCloud platformsAI/ML frameworksInfrastructure as codeCI/CD pipelinesObservability toolsBioinformatics toolsSoft skills

Required

BS/MS in Computer Science, Software Engineering, or related field

5+ years of software engineering experience with Python as primary language

Expert-level proficiency in Python async programming and frameworks (FastAPI, asyncio)

Strong experience with distributed systems (Kubernetes, Docker, microservices)

Proven track record with high-throughput data processing systems

Deep understanding of database systems (PostgreSQL, MongoDB, Redis)

Experience with cloud platforms (AWS, GCP, or Azure) at scale

Proficiency with infrastructure as code (Terraform, Pulumi)

Strong background in CI/CD pipelines and GitOps practices

Experience with observability tools (Prometheus, Grafana, ELK stack)

Knowledge of message queuing systems (Kafka, RabbitMQ, Celery)

Experience deploying and scaling ML models in production

Familiarity with ML frameworks (PyTorch, TensorFlow) from an engineering perspective

Understanding of GPU programming and optimization

Experience with model serving frameworks (TorchServe, TensorFlow Serving, Ray Serve)

Preferred

Experience with bioinformatics tools and pipelines

Knowledge of genomic data formats (FASTQ, BAM, VCF)

Familiarity with scientific computing (NumPy, SciPy, Pandas)

Understanding of HIPAA compliance and healthcare data security

Experience with real-time systems and streaming architectures

Background in building developer platforms and APIs

Contributions to open-source projects

Benefits

Comprehensive benefits with equity participation

$5,000 annual learning and development budget

Top-tier hardware and development environment

Flexible remote work with quarterly team offsites

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