Staff Infrastructure Software Engineer - AI Platform Job at Addepar (Edinburgh)

Staff Software Engineer, Managed AI - AI Platform

Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'...

Location

United States , San Francisco, CA; Sunnyvale, CA

Salary:

208725.00 - 253000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

Advanced degree in Computer Science/Engineering
8-10+ years of industry experience with demonstrated history of consistent success leading a varied portfolio of initiatives across your function
Experience with distributed systems, cloud services (compute, storage, networking, database), and delivering early-stage projects quickly
Experience with Generative AI (LLMs, Multimodal) and familiar with AI infrastructure (training, inference, ETL pipelines)
Proficient with container runtimes (e.g., Kubernetes), microservices, REST APIs, gRPC, and the full software development lifecycle including CI/CD

Job Responsibility

Lead the design and implementation of core AI services, including: Resilient fault-tolerant queues for efficient task distribution
Model catalogs for managing and versioning AI models
Scheduling mechanisms optimized for cost and performance
Architect and scale infrastructure to handle millions of API requests per second
Implement robust monitoring and alerting to ensure system health and 24/7 availability
Collaborate closely with product management, business strategy, and other engineering teams to define the AI platform roadmap
Influence the long-term vision and architectural decisions of the platform
Contribute to open-source AI frameworks and actively participate in the AI community
Prototype and rapidly iterate on emerging technologies and new features

What we offer

Restricted Stock Units in a fast growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement

Fulltime

Staff Software Engineer, AI Agent Platform

The Geico AI Agent Platform team is seeking an exceptional Staff Software Engine...

Location

United States , Chevy Chase; New York City

Salary:

115000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Mathematics, or a related field
an advanced degree (master’s or Ph.D.) is highly desirable
6+ years of hands-on experience in designing, implementing, and maintaining multi-tenant AIML systems and platforms in production environments
6+ years of experience working with cloud platforms such as Azure and AWS
Extensive expertise in designing and deploying large-scale data pipelines and real-time inference systems and managing the end-to-end AI Agent and/or AIML system development lifecycles, including configuration, evaluation, monitoring, observability and AuthN/AuthR considerations
6+ years of experience working with common backend systems & tools (e.g, Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4J, etc.)
Deep understanding of Docker, container optimization, and multi-stage builds
Experience with Prometheus, Grafana, Open Telemetry and distributed tracing
3+ years of experience building front-end web applications using frameworks such as React and/or Next.JS
Deep proficiency in programming languages such as Python, Java, Go, etc., with a strong emphasis on coding excellence

Job Responsibility

Architect and implement scalable multi-tenant backend systems for building AI agent workflows, including agent configuration, offline evaluation, synthetic data generation, workflow simulation, agent marketplace, etc. using Azure Kubernetes Service (AKS), FastAPI, etc., ensuring economy of scale and control cost of maintenance
Collaborate with Design team to architect and implement frontend experiences and workflows for onboarding both technical and non-technical stakeholders, maximizing user adoption and successful AI agent development
Develop observability frameworks to ensure 99.9%+ uptime for AI agent platforms through robust monitoring, alerting, and incident response procedures
Evaluate and (if desirable) integrate cutting-edge GenAI frameworks, libraries and vendors to maintain a state-of-the-art technology stack, including hybrid cloud solutions with AWS/GCP as backup or specialized use cases
Architect and implement scalable, high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows
Oversee the end-to-end lifecycle of AI agent applications, ensuring robust testing, deployment, and ongoing monitoring
Ensure adherence to company production readiness standards, security protocols, and regulatory compliance throughout the development lifecycle
Continuously optimize platform performance, reducing latency and improving throughput for AI agent workloads
Design and implement backup, recovery, and business continuity plans for hosted platform applications & services
Design and maintain robust CI/CD pipelines for ML model deployment using Azure DevOps, GitHub Actions, and MLOps tools

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Infrastructure Software Engineer, Enterprise AI

Scale GP is building the next generation of enterprise-grade Generative AI produ...

Location

United States , New York; San Francisco

Salary:

216200.00 - 270250.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Proven experience in a senior role
5+ years of full-time software engineering experience
Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana)
Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)
Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups
Proficiency in Python or JavaScript/TypeScript, and SQL

Job Responsibility

Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers
Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies
Own the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response
Drive developer efficiency by building automated tooling and championing Infrastructure-as-Code (IaC) paradigms throughout the engineering organization
Solve the toughest engineering problems related to multi-tenancy, data isolation, and high-performance inference at a massive scale, taking end-to-end ownership across the full product lifecycle

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
additional benefits such as a commuter stipend

Fulltime

Sr Staff AI Software Engineer (CORA AI)

Idira is looking for a Senior AI Software Engineer to join our Generative AI fou...

Location

Israel , Petah Tikva

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Bachelor's degree with 15 years of experience, or Master's degree with 12 years of experience, or PhD with 8 years of experience
Extensive experience in software engineering, with a focus on building and deploying production-grade systems
Proven experience with cloud platforms, particularly AWS services
Strong programming skills in languages such as Python
Hands-on experience with machine learning, deep learning, and Large Language Models (LLMs)
Experience with the full software development lifecycle (design, development, testing, deployment, maintenance)

Job Responsibility

Design, develop, and deploy scalable AI agents and shared infrastructure for GenAI capabilities
Manage the full software development lifecycle, from prototyping to production-grade, observable systems
Collaborate with product managers, researchers, and engineers to translate ideas into robust and scalable services
Work hands-on with large language models (LLMs), agentic frameworks, and a broad range of AWS services
Implement strong telemetry, evaluation metrics, and feedback loops to continuously improve AI solutions
Champion operational excellence through pragmatic experimentation, iteration, and solid design

Senior Software Engineer, AI Platform

GoodLeap is a technology company delivering best-in-class financing and software...

Location

United States , AUSTIN; SAN FRANCISCO; IRVINE; ROSEVILLE

Salary:

173000.00 - 200000.00 USD / Year

GoodLeap

Expiration Date

Until further notice

Requirements

5+ years of experience building and shipping scalable, robust backend services and APIs
Strong proficiency in Python and/or TypeScript
Solid understanding of distributed systems, service-oriented architecture, and event-driven patterns (e.g. Kafka, RabbitMQ, SQS)
Passion for software development, emerging technologies and culture of innovation
A collaborative mindset and interest in mentoring teammates and elevating team practices
Excellent communication and interpersonal skills

Job Responsibility

Build features and extensions to our agentic AI platform using scalable, robust, and AI-first software engineering practices
Design tools and infrastructure to enable teams at GoodLeap to easily build and enhance AI agents that empower homeowners, contractors, and operations staff
Work alongside a team of AI engineers, product managers, and data scientists to evaluate and improve our agent ecosystem
Collaborate with Staff engineers, product, architecture, and design leads to deliver highly-available, fault-tolerant products and services
Work on significant and unique technical challenges, evaluate and recommend solutions, and guide decision making by considering technical tradeoffs
Grasp both the technical and business perspective so you can help drive innovation
Work autonomously and be self-disciplined, requiring minimal supervision or guidance
Collaborate with other team members and coach more junior team members to grow both their technical skills and soft skills

What we offer

May be eligible for a bonus and equity

Fulltime

Member of Technical Staff, AI Platform Engineer

As Microsoft continues to push the boundaries of AI, we are on the lookout for p...

Location

United States , Mountain View

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building customer-facing applications/products with coding in languages including, but not limited to C#, Python, Java, Golang
OR equivalent experience
Experience leveraging generative AI technologies to develop innovative and user-focused product features
4+ years' experience building APIs and creating pipelines for large-scale products
4+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.

Job Responsibility

Work on building new AI features that enhance copilot
Build secure and performant AI Platform services that power Copilot
Work collaboratively with other AI Researchers, Platform, infrastructure, application engineers to build next generation AI products and services
Ship high-quality, well-tested, secure, and maintainable code
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
Enjoy working in a fast-paced, design-driven, product development cycle
Embody our Culture and Values.

Fulltime

Senior Staff Software Engineer - AI

GEICO is seeking an experienced Engineer with a passion for building high-perfor...

Location

United States , Seattle, WA; Austin, TX; Palo Alto, CA; Chicago, IL; Dallas, TX

Salary:

110000.00 - 230000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Experience building and deploying ML systems in production with cross-functional engineering teams
Fluency in at least two modern languages such as Python, Go, Java, C++, or C# including object-oriented design
Experience architecting multi-component ML platforms using open-source/cloud-agnostic components: Datastores: PostgreSQL, NoSQL (MongoDB, Cassandra, CosmosDB) Streaming: Kafka, Flink, or Spark Streaming
Experience with end-to-end ML lifecycle: version control, CI/CD, Kubernetes, testing, monitoring, and production support
Experience with cloud providers (Azure, AWS or GCP) in production ML environments
Experience with observability tools and distributed systems monitoring, logging, tracing, and root cause analysis
Experience building multi-agent systems using LLMs and agentic frameworks (e.g., LangChain, LangGraph, AutoGen, Semantic Kernel, CrewAI)
Hands-on experience with RAG, semantic search, and vector databases (e.g., Milvus, pgvector, Qdrant, ElasticSearch)
Experience designing human-in-the-loop workflows and safety controls for autonomous systems
Strong architecture and design skills with ability to influence technical direction and roadmap

Job Responsibility

Design and build a multi-agent AI platform where specialized agents autonomously detect, diagnose, and resolve issues through agent-to-agent (A2A) collaboration
Develop intelligent agents using LLMs and agentic frameworks that coordinate detection, diagnostic, remediation, and knowledge tasks with minimal human intervention
Define agent interaction protocols, A2A communication standards, and evaluation frameworks for agent decision quality and autonomous action safety
Architect vector database solutions (Milvus, pgvector, Qdrant) for semantic search and RAG to enable context-aware agent decision-making
Build end-to-end ML pipelines for severity classification, anomaly detection, failure pattern recognition, and impact forecasting using observability data
Establish scalable orchestration infrastructure for multi-agent workflows with CI/CD, automated evaluation, canary releases, and rollback strategies
Implement monitoring for agent interactions, A2A communication patterns, decision quality, data drift, and system reliability
Lead technical architecture ensuring scalability, observability, and integration with existing alerting, logging, and monitoring systems
Define standards for agent safety, explainability, governance, and human-in-the-loop controls for high-impact automated actions
Partner with SRE, Product, and Engineering teams to translate reliability goals into measurable ML objectives and maintain pragmatic technical roadmaps

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer, Platform

At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and ...

Location

United States , San Francisco; Seattle; New York

Salary:

248400.00 - 310500.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

8+ years of full-time engineering experience, post-graduation with specialities in back-end systems
Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)
Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects
Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders
Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.
Experience with orchestration platforms, such as Temporal and AWS Step Functions
Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)
Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD)

Job Responsibility

Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals
Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure
Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle
Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
additional benefits such as a commuter stipend
equity based compensation

Fulltime

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Staff Infrastructure Software Engineer - AI Platform

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