Principal AI Software Engineer – Enterprise AI Platform

Job not on LinkedIn

November 24

Apply Now
Logo of Natera

Natera

Biotechnology • Healthcare Insurance • Pharmaceuticals

Natera is a global leader in cell-free DNA testing technology, specializing in non-invasive genetic testing and diagnostics. The company's innovative solutions focus on areas such as prenatal screening, cancer detection, and organ transplant monitoring. By using advanced bioinformatics and DNA analysis, Natera provides healthcare professionals and patients with critical information to make more informed medical decisions.

📋 Description

• The Enterprise AI Platform Engineer is responsible for build and delivery of Natera’s enterprise agentic AI platform. • You will architect and build the core AI operating system that powers modular, low-code enterprise AI agentic automation that is complete with agent templates, agent orchestration engine, data and MCP connectors, prompt optimization capabilities, evaluation guardrails, abstracted AI services, intelligent data extraction and reasoning capabilities. • Design and implement the core architecture of the Enterprise AI Platform — low code, modular, scalable, and secure. • Build the agent orchestration runtime, including task queues, state management, and inter-agent communication. • Architect for long-running, resilient AI workflows, enabling agents to execute and monitor multi-step, asynchronous processes. • Develop APIs and services for automation, evaluation, and agent lifecycle management. • Establish DevOps, CI/CD pipelines, and configuration management to ensure smooth deployment at scale.

🎯 Requirements

• 12+ years of software engineering experience, with 8+ years in platform or distributed systems architecture. • Proven expertise in implementing workflow orchestration or automation systems • Proficiency in Python with deep experience in backend architecture and API design. • Experience with low-code/no-code automation platforms (Zapier, n8n etc.), internal developer platforms (IDPs), or workflow engines (Temporal, Airflow). • Experience in working with well known agentic cloud platforms (e.g. AWS Bedrock agents, AgentCore etc.). • Hands-on experience with LLMs, RAG, vector databases, and orchestration frameworks (LangChain, LlamaIndex, AutoGen, DSPy). • Fluency in cloud infrastructure, Kubernetes, Docker, and CI/CD automation. • Knowledge of observability and telemetry systems for event-driven environments. • Familiarity with AI governance and evaluation frameworks, LLM safety, drift detection, bias detection, hallucination, explainability, and compliance (e.g., HIPAA, CLIA, FDA).

🏖️ Benefits

• Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. • Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. • Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. • We also offer a generous employee referral program!

Apply Now

Similar Jobs

November 22

Staff AI Engineer leading development of AI Voice Agents at ServiceTitan. Collaborating across teams to deliver scalable solutions and redefine customer experiences in a fast-paced environment.

Amazon Redshift

AWS

Azure

Cloud

Distributed Systems

Kafka

Microservices

Postgres

Python

PyTorch

SDLC

SQL

Tensorflow

November 21

Staff AI Engineer responsible for end-to-end AI solutions at GitLab. Leading AI initiatives across business functions for measurable impact.

Python

November 20

AI Engineer developing intelligent systems to enhance member experience using advanced machine learning at Tonal. Innovating personalized training and adaptive coaching in fitness technology.

Python

PyTorch

Tensorflow

November 18

AI Engineer specializing in calibration and optimization of AI systems for strategic clients. Collaborating within Azure environments to improve system performance through advanced methodologies.

Azure

Cloud

Distributed Systems

Python

SDLC

Terraform

November 18

Forward-Deployed AI Engineer at DocuSign developing secure, AI-enabled agreement workflows with federal agencies. Designing and deploying applications, optimizing AI/ML solutions, and collaborating with clients.

Angular

AWS

Azure

Cloud

Google Cloud Platform

Java

JavaScript

Microservices

Node.js

Python

React

ServiceNow

Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com