Staff Software Engineer, AI for Developer Productivity Job at General Motors (Austin)

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

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

As an AI Staff Engineer you'll play a crucial role in developing and refining ou...

Location

United States , New York

Salary:

193000.00 - 242000.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

4+ years of experience as a Full Stack Software Engineer or a similar role developing, shipping, and testing of software within a well-established enterprise, bonus points if at a fast growth enterprise
Bachelor's degree in Computer Science, Engineering or a related field
Demonstrated experience working with production LLM APIs (OpenAI, Anthropic, Google, etc.) including handling rate limits, cost optimization, and performance monitoring in live systems (not just vibe coding)
Clear experience utilizing frameworks like RAG in production applications to further enhance the foundational models for proprietary applications and datasets
Experience with AI system testing methodologies including model evaluation, A/B testing of AI features, and monitoring model performance in production
Experience with data pipelines and ETL/ELT processes (given our data-intensive AI workflows)

Job Responsibility

Utilize the best-in-class models available on the market to deliver meaningful solutions for our clients, bringing them from the idea stage all the way to production
Collaborate with the team to integrate AI solutions into our existing production processes
Design and implement scalable AI system architecture handling including model orchestration, caching strategies, and fallback mechanisms
Evaluate and implement new AI technologies and methodologies to keep WiseLayer and BlackLine at the cutting edge

What we offer

short-term and long-term incentive programs
robust offering of benefit and wellness plans

Fulltime

Staff AI Productivity Engineer

We are looking for a Staff AI Productivity Engineer to accelerate how our engine...

Location

United States

Salary:

180000.00 - 320000.00 USD / Year

Hightouch

Expiration Date

Until further notice

Requirements

Strong software engineering fundamentals—you can dive into complex backend code and understand it quickly
Deep hands-on experience with AI coding agents (Claude Code, Cursor, Copilot, Devin, or similar)
Experience writing effective agent documentation, custom instructions, or context files that meaningfully improved agent output
Track record of building developer tools or infrastructure that other engineers actually use
Comfortable working across the stack: you'll touch CI/CD, cloud infrastructure, internal tooling, and application code

Job Responsibility

Own the agentic development environment: Ensure agents can operate in independent cloud-based development environments, execute our full test suites, examine build results visually, etc
Build our tooling integrations: Build MCP server integrations that connect our agents to the systems needed to build and debug software, such as CircleCI, Slack, Datadog, Github, etc
Documentation and context: Own our repo-wide agents.md file and work with teams to ensure our library of agent guidance and skills is continually pushing the bar. Ensure our conventions and package structures are exposed in ways that agents can effectively use
Enablement: Work with our engineers to understand where agents are struggling and address root causes such as better docs, tooling access, etc. Develop tooling for non-engineers to make simple visual updates to our application
Serve as a “PM” for internal AI agents: Consistently keep us on the leading edge of AI productivity trends by staying abreast of what is state-of-the-art in industry and driving those improvements across Hightouch

What we offer

Meaningful equity compensation in the form of ISO options
Early exercise and a 10 year post-termination exercise window

Fulltime

Staff Software Engineer – Developer Experience

Remote or Hybrid: This role can be remote US or hybrid in our Warren MI or Austi...

Location

United States , Warren

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

8+ years of experience in software development
Strong proficiency in at least one modern language (e.g., Java, Go, C#, Python, TypeScript) and in designing, building, and operating distributed systems in production
Deep experience designing and operating modern CI/CD pipelines and release processes, including build, test, deploy, release strategies, rollback, and environment promotion
Hands-on experience with developer platforms and SDLC tooling (e.g., GitHub/GitLab, CI/CD systems, Jira/ADO, artifact repositories, secrets management, feature flags)
Solid understanding of at least one major cloud platform (Azure/AWS/GCP) and infrastructure as code (Terraform, Bicep, CloudFormation, etc.)
Strong understanding of security, compliance, and governance concerns for developer platforms (RBAC, auditability, data boundaries)
Experience with migration and modernization (on-prem → cloud, legacy → modern pipelines, tool consolidation)

Job Responsibility

Lead technical strategy and delivery for platforms, tools, and workflows that improve developer productivity, quality, and satisfaction across GM
Design and implement golden paths (opinionated, paved-road workflows) for shipping software—covering repo structure, CI/CD, testing, security, observability, and deployment
Build automation and self-service capabilities that reduce manual toil (e.g., environment provisioning, pipeline setup, guardrail enforcement, standards checks)
Embed AI into engineering workflows, including agents and copilots that assist with planning, coding, testing, documentation, and operations
Partner with product, security, infra, and application teams to understand pain points and translate them into concrete platform and tooling improvements
Act as a multiplier and mentor across the organization, coaching engineers and providing guidance on software engineering, AI-assisted development, and recommended practices
Define and track outcome-focused metrics (e.g., lead time for changes, PR cycle time, change failure rate, developer satisfaction) and use data to guide investments
Contribute to and influence engineering standards, patterns, and reference architectures used across Core IT and beyond

Fulltime

Member of Technical Staff - Software Engineer (AI infra)

Microsoft AI is looking for a Member of Technical Staff - Software Engineer to h...

Location

Switzerland , Zürich

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Experience with generative AI
Experience with distributed computing

Job Responsibility

Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures
Benchmark GB200 and AMD MIxxx GPU clusters
Gather data and insights to develop the pretraining compute roadmap
Care deeply about conversational AI and its deployment
Actively contribute to the development of AI models that are powering our innovative products
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

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

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

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Staff Software Engineer, AI for Developer Productivity

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Job Responsibility

Requirements

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Staff Software Engineer, AI for Developer Productivity

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