CrawlJobs Logo

Senior AI System Engineer

springhealth.com Logo

Spring Health

Location Icon

Location:

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

159100.00 - 194150.00 USD / Year

Job Description:

The AI Engineer on the IT Systems Engineering team will design, build, and maintain internal AI solutions that power Spring Health’s next generation of productivity and automation. This role acts as the business partner for AI across the organization — supporting our enterprise AI strategy, building internal AI applications, enabling employees to adopt AI safely and effectively, and connecting AI capabilities across our systems through scripting, APIs, and automation frameworks.

Job Responsibility:

  • Design, build, and maintain internal AI solutions
  • Act as the AI business partner for the organization
  • Develop integrations and automation pipelines
  • Support Spring’s AI infrastructure & enterprise AI tooling strategy
  • Enable, train, and empower the company to use AI

Requirements:

  • 4-5+ years of experience in software engineering, technical analyst, AI engineering, automation engineering, or similar technical roles
  • Strong scripting or programming experience (Python preferred
  • JavaScript/TypeScript also welcome)
  • Experience building LLM-based applications, automations, or workflows (e.g., embeddings, RAG, agent-style patterns, enterprise integrations)
  • Experience with enterprise AI tools such as OpenAI (ChatGPT and the OpenAI Platform), Google Gemini, Claude, GitHub Copilot, Cursor, and similar platforms
  • Hands-on experience working with APIs, webhooks, data pipelines, and automation frameworks
  • Ability to rapidly prototype and iterate in ambiguous problem spaces
  • Strong communication skills that make technical concepts clear for non-technical partners
  • A collaborative approach and desire to help individuals and teams adopt new ways of working

Nice to have:

  • Experience with enterprise search and AI productivity platforms such as Glean, Console, or similar tools
  • Experience working with G&A teams (FP&A, Legal, People)
  • Familiarity with structured and unstructured data integration, vector databases, and retrieval patterns
  • Experience with Google Workspace, Slack Enterprise, Jira/Confluence, Okta, or other modern SaaS systems
  • Prior work with automation platforms, internal tooling, system integrations, or workflow orchestration
  • Experience working within regulated environments (e.g., SOC 1/2, HITRUST, FedRAMP) is a plus
What we offer:
  • Health, Dental, Vision benefits start on your first day
  • Access to HSA and FSA plans
  • Employer sponsored 401(k) match of up to 2%
  • Yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers
  • Competitive paid time off policies including vacation, sick leave and company holidays
  • Parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents at 6 months tenure
  • Access to Noom, a weight management program
  • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses
  • Access to Wellhub
  • Access to BrightHorizons
  • Up to $1,000 Professional Development Reimbursement a year
  • $200 per year donation matching

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior AI System Engineer

Senior AI Engineer

As a Senior AI Engineer on our AI Engineering team, you will be responsible for ...
Location
Location
Canada; United States
Salary
Salary:
160000.00 - 260000.00 USD / Year
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of software engineering experience with a focus on production systems
  • 1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
  • Production LLM Applications: Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
  • Agent Development: Experience building multi-step AI agents, LLM chaining, and complex workflow automation
  • Prompt Engineering Expertise: Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
  • Python Proficiency: Expert-level Python skills for production AI systems
  • Backend Engineering: Strong experience building scalable backend systems, APIs, and distributed architectures
  • LangChain or Similar Frameworks: Experience with LangChain, LlamaIndex, or other LLM application frameworks
  • API Integration: Proven ability to integrate multiple APIs and services to create advanced AI capabilities
  • Production Deployment: Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)
Job Responsibility
Job Responsibility
  • Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
  • Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
  • Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
  • System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
  • Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
  • Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
  • Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions
What we offer
What we offer
  • equity
  • company bonus or sales commissions/bonuses
  • 401(k) plan
  • at least 10 paid holidays per year, flex PTO, and parental leave
  • employee assistance program and wellbeing benefits
  • global travel coverage
  • life/AD&D/STD/LTD insurance
  • FSA/HSA and medical, dental, and vision benefits
  • Fulltime
Read More
Arrow Right

Senior AI Engineer

Elsewhen, a London-based consultancy, designs and builds technology solutions fo...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
elsewhen.com Logo
Elsewhen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Professional AI engineering experience
  • Background in Software Engineering with Python
  • Solid understanding of the Python standard library and modern Python coding, testing, debugging and automation techniques
  • Hands-on experience building solutions using LLMs and Agentic architectures with ADK, LlamaIndex, or LangGraph
  • Working with vector databases for embedding and indexing
  • Strong experience with cloud platforms
  • Strong experience with API design and frameworks like FastAPI or Flask
  • Solid experience with relational databases and SQL
  • Interest in expanding your knowledge into GenAI and machine learning
  • Excellent communication skills and the ability to work well in a collaborative team environment
Job Responsibility
Job Responsibility
  • Experiment with POCs to find solutions for real-world problems using Large Language Models
  • Collaborate on AI-driven projects, working alongside engineers, product managers and AI specialists while maintaining clear documentation
  • Build and deploy Agentic LLM-based solutions with LangGraph
  • Familiar with different multi agent system patterns
  • Build and deploy LLM-based solutions using RAG
  • Familiar with different types of databases: Relational, Graph etc
  • Design and optimise APIs using Python and FastAPI to serve AI solutions
  • Familiar with GCP ecosystem and Cloudrun
  • Build and optimise data pipelines for vector search and knowledge retrieval using Vector databases and embedding models
What we offer
What we offer
  • Private Health Insurance: Comprehensive coverage for both physical and mental health
  • Flexible and Remote-First Work Environment: Choose how and where you work, with the option for weekly team meet-ups in central London
  • Generous Leave Policy: 27 days of holiday plus bank holidays
  • Family-friendly policies, including enhanced maternity, paternity and shared
  • Learning and Development: Individual annual budget of £2,000 for learning and development, with dedicated learning days
  • Feel Better Fund: £500 to help set up your remote office
  • Social Events: Monthly and quarterly team events, an annual team trip, and half-yearly social events
  • Gym Membership Contribution: Support for maintaining your physical health
  • Pension Contribution: Enhanced employer pension contribution of 6%
  • Bonus Opportunities: Potential to receive a discretionary (non-contractual) bonus based on business and personal achievements
Read More
Arrow Right

Senior Platform Engineer - CI/CD & AI Automation (AI-first)

Groupon is undergoing a critical platform transformation, modernizing its core d...
Location
Location
Czechia , Prague
Salary
Salary:
Not provided
groupon.com Logo
Groupon
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of dedicated experience in Platform Engineering, DevOps, or Infrastructure roles
  • Deep expertise building, scaling, and migrating CI/CD systems, with strong practical experience in Jenkins and/or GitHub Actions
  • Expertise in scripting and automation (Python, Go, or Bash)
  • Solid understanding of container technologies, Kubernetes, and cloud build systems
  • Proven experience leveraging AI tooling (e.g., Claude Code, code analysis) to meaningfully increase developer output and optimize platform work
  • Excellent communication and ability to drive technical decisions across multiple platform and product teams
Job Responsibility
Job Responsibility
  • Platform Transformation: Lead the design, planning, and execution of the Jenkins-to-GitHub Actions migration across a large portfolio of microservices
  • Pipeline Engineering: Design and optimize high-performance, secure, and observable CI/CD workflows across GitHub Actions, Jenkins, and Kubernetes environments
  • AI-First Automation: Drive an AI-First workflow by leveraging tools (e.g., Copilot, code generation) to eliminate infrastructure toil, accelerate development, and analyze pipeline failures
  • Core Automation: Develop robust platform automation (e.g., Python, Go, Bash) to improve build efficiency, artifact caching, reliability, and repository hygiene
  • Security & Compliance: Harden CI/CD infrastructure with robust controls for secrets management, RBAC, audit logging, and secure runner design
  • Observability: Implement and enhance CI/CD observability using tools like Prometheus, Grafana, and OpenTelemetry to provide deep insights into performance and reliability
  • Technical Leadership: Mentor engineers and partner across Cloud, Security, and Developer Experience teams to define and evolve our end-to-end delivery platform architecture
Read More
Arrow Right

Senior AI Engineer

As a Senior AI Engineer on our AI Engineering team, you will be responsible for ...
Location
Location
India
Salary
Salary:
Not provided
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of software engineering experience with a focus on production systems
  • 1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
  • Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
  • Experience building multi-step AI agents, LLM chaining, and complex workflow automation
  • Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
  • Expert-level Python skills for production AI systems
  • Strong experience building scalable backend systems, APIs, and distributed architectures
  • Experience with LangChain, LlamaIndex, or other LLM application frameworks
  • Proven ability to integrate multiple APIs and services to create advanced AI capabilities
  • Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)
Job Responsibility
Job Responsibility
  • Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
  • Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
  • Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
  • System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
  • Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
  • Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
  • Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions
What we offer
What we offer
  • Invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact
  • Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed
  • We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins
Read More
Arrow Right

Senior Engineering Manager - AI

We are seeking a Senior Engineering Manager (Level 5) to lead a high-performing ...
Location
Location
India , Chennai
Salary
Salary:
Not provided
arcadia.com Logo
Arcadia
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 15+ years of professional experience in software engineering
  • At least 4+ years in engineering leadership roles
  • Strong technical background in AI/ML systems, large-scale data pipelines, and cloud-native platforms
  • Hands-on experience with Python (preferred), modern ML frameworks (PyTorch/TensorFlow), and cloud services (AWS)
  • Proven success in managing teams of 4–6 engineers, scaling processes, and building diverse, high-performance teams
  • Strong architectural design and system-thinking abilities
  • Excellent communication skills with ability to influence cross-functional stakeholders
  • Passion for sustainability, decarbonization, and using technology to create positive climate impact
  • Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more
Job Responsibility
Job Responsibility
  • Lead and grow a team of engineers focused on building AI-driven and data-intensive systems for the Arcadia platform
  • Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
  • Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs
  • Balance management responsibilities (hiring, coaching, performance reviews, career growth) with technical leadership (architecture, system design, technical strategy)
  • Drive end-to-end delivery of complex projects in partnership with Product, Data, and Infrastructure teams
  • Guide the adoption of modern AI/ML technologies, ensuring practical, scalable use in production
  • Foster a culture of high performance, ownership, and technical excellence
  • Establish engineering best practices in testing, observability, reliability, and CI/CD
  • Partner with leadership to define roadmaps, set priorities, and align execution with Arcadia’s strategic goals
  • Represent AI across the company, articulating technical trade-offs and championing innovation
What we offer
What we offer
  • Competitive compensation and employee stock options
  • Hybrid/remote-first working model (India-based role, with global collaboration)
  • Flexible leave policy
  • Comprehensive medical insurance (self + family members)
  • Annual performance cycle + quarterly recognition awards
  • A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation
  • Fulltime
Read More
Arrow Right

Senior Platform Engineer, AI Evaluation

We’re looking for an AI Platform Engineer to evolve and extend our internal eval...
Location
Location
United States , Mountain View
Salary
Salary:
137871.00 - 172339.00 USD / Year
khanacademy.org Logo
Khan Academy
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
  • 5 years of Software Engineering experience with 2+ of those years working on the evaluation of generative AI systems
  • Strong programming skills in Go, Python, SQL, and at least one data pipeline framework (e.g., Airflow, Dagster, Prefect)
  • Familiarity with the architecture of large language models and their industry-standard APIs
Job Responsibility
Job Responsibility
  • Evolve and extend our internal evaluation framework for assessing the quality of our AI-driven experiences
  • Work closely with ML data engineers and platform developers to help internal teams adopt an eval-driven development process incorporating offline benchmark tests and online experiments
  • Gather internal requirements, getting buy-in for changes, and then developing documentation and training materials
What we offer
What we offer
  • Competitive salaries
  • Ample paid time off as needed
  • 8 pre-scheduled Wellness Days in 2026
  • Remote-first culture
  • Generous parental leave
  • 401(k) + 4% matching
  • Comprehensive insurance, including medical, dental, vision, and life
  • Fulltime
Read More
Arrow Right

Senior Engineering Manager - AI Core Platform

We’re hiring a Senior Engineering Manager (or high-potential EM2) for the Core P...
Location
Location
Ireland , Dublin
Salary
Salary:
Not provided
intercom.com Logo
Intercom
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience leading engineering teams, ideally across infrastructure or platform domains
  • Recent hands-on coding experience — you’ve shipped production code in the last couple of years
  • Strong technical judgment and the ability to coach senior engineers through complex architectural trade-offs
  • Adaptable leadership style suited to a group that will grow quickly, and change shape over time
  • Curiosity and enthusiasm for AI, with a desire to learn how ML systems are developed and operated in production
Job Responsibility
Job Responsibility
  • Lead a high-performing team building the platform and infrastructure that power Intercom’s AI capabilities
  • Contribute directly to production code, staying close to the work and building knowledge & context through first-hand experience
  • Support teams of ML Scientists and Engineers building AI powered capabilities
  • Plan, prioritize, and deliver high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality, and innovation
  • Improve developer experience across the AI infrastructure stack, ensuring that systems are observable, scalable, and easy to build upon
  • Empower the engineers on the team to act with agency and maximize their impact
  • Expand your scope over time, potentially taking ownership of additional platform domains as the team and AI initiatives grow
What we offer
What we offer
  • Competitive salary and equity in a fast-growing start-up
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
  • Regular compensation reviews - we reward great work
  • Pension scheme & match up to 4%
  • Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
  • Flexible paid time off policy
  • Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
  • If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
  • MacBooks are our standard, but we also offer Windows for certain roles when needed
  • Fulltime
Read More
Arrow Right

Senior Software Engineer, AI Runtime

We’re seeking a Senior Software Engineer to help power the future of agentic AI ...
Location
Location
United States
Salary
Salary:
157000.00 - 198900.00 USD / Year
apollographql.com Logo
Apollo GraphQL
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Expertise in agent-to-tool orchestration, routing, and coordination in scalable, fault-tolerant systems
  • Deep expertise in Rust programming language
  • Strong background in distributed systems, server architecture, and high-performance backend development
  • Proven experience with protocol design, message routing, and server-side orchestration frameworks
  • Experience building and maintaining robust runtime infrastructure that supports AI-driven workflows and enables reliable agent-to-tool interactions
  • Proven experience with protocol design, message routing, and building server-side frameworks that enable scalable, reliable multi-tool agent workflows
  • Hands-on experience with observability, monitoring, and debugging frameworks for complex systems
  • Passion for clean, maintainable code, high system reliability, and scalable architecture
  • Experience in strategic system design, making architectural trade-offs, and planning for long-term scalability and maintainability
  • Strong technical leadership and mentorship, including guiding junior engineers and driving engineering best practices across teams
Job Responsibility
Job Responsibility
  • Scale an enterprise AI/MCP Server and Gateway that powers multi-agent workflows across Apollo, including routing, orchestration, and integration boundaries
  • Implement robust server infrastructure to ensure reliability, performance, and security at scale
  • Build and maintain tools for agent discovery, communication, and coordination
  • Define deployment strategies and runtime optimizations to maximize efficiency and minimize operational overhead
  • Develop frameworks and patterns that enable seamless multi-agent collaboration and AI-driven orchestration
  • Integrate observability, logging, and monitoring for full visibility into server and agent behavior
  • Explore and implement AI-enhanced developer workflows to optimize orchestration and agent interactions
  • Collaborate with teams within our org to ensure the MCP Server meets evolving product and developer needs
Read More
Arrow Right