CrawlJobs Logo

AI Integrations Staff Engineer

United States 90000.00 - 180000.00 USD / Year · Job Posted February 20, 2026
Apply Position
Job Link Share

Job Description

Join Vetcove and help modernize the future of veterinary software and the pet parent healthcare experience. Our suite of platforms features a market-leading procurement marketplace, an ultra-modern home delivery ecommerce experience, and a next-generation practice management system. More than 25,000 hospitals across all 50 states rely on Vetcove daily, supporting tens of thousands of veterinarians who care for tens of millions of pets each year. We are modernizing the 50 billion dollar plus animal health industry by giving veterinary organizations the tools to focus more on patient care. Backed by Y Combinator and top venture investors in Silicon Valley, New York and Miami, Vetcove is a fast-growing, mission-driven company. We are searching for talented and passionate people who want to help shape the future of veterinary care.

Job Responsibility

  • Evaluating and selecting the most appropriate AI models for our products based on our business needs and requirements
  • Collaborating with our data science team to fine-tune AI models for optimal performance in our products
  • Developing and maintaining AI-powered application features using Python
  • Testing and validating the performance of AI models in real-world scenarios and troubleshooting issues as they arise
  • Staying up-to-date with the latest advancements in AI technology and identifying opportunities for innovation within our products
  • Work directly with our CTO and engineering team, as well as across other functions to continuously evolve our platform and products

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • At least 4 years of experience in software development, including experience in building a professionally successful production application in a modern web framework
  • Strong knowledge of AI models, including natural language processing (NLP), machine learning (ML), and deep learning (DL), including familiarity with LLM tools such as LangChain
  • Strong engineering fundamentals with various back-end technologies
  • Ability to design new features around data models with accuracy, security, and performance in mind
  • A positive attitude and one-for-all team mentality

What we offer

  • 100% remote within the USA
  • Medical, Dental, and Vision Insurance
  • Automatic 401k contribution
  • Employee referral program
  • At home office set up
  • Bi-annual company retreats
  • Open vacation policy
  • Equity
  • Monthly team events

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

AI Integrations Staff Engineer

8 matching positions

Staff AI Engineer - Agentic AI Systems

As a Staff AI Engineer, you will play a key role in designing and delivering hig...
Location
Location
India , Bengaluru, Karnataka, India | Hyderabad, Telangana, India | Pune, Maharashtra, India
Salary
Salary:
Not provided
teradata.com Logo
Teradata
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science or equivalent from a recognized institution
  • 8+ years of experience in backend services, distributed systems, or data platform development
  • Strong proficiency in Java, Go, or Python for service development
  • Deep understanding of design principles, distributed system patterns, and service architecture
  • Hands-on experience designing and developing RESTful APIs
  • Experience with SQL and NoSQL databases and data modelling
  • Strong debugging, problem solving, and troubleshooting skills
  • Experience with modern containerization and orchestration tools such as Kubernetes
  • Knowledge of public cloud platforms
  • Experience with AI productivity tools (e.g., GitHub Copilot)
Job Responsibility
Job Responsibility
  • Design, architect, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance
  • Collaborate with cross-functional engineers and product partners to shape architecture and consistently deliver end to end features
  • Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability
  • Work with SQL and NoSQL databases to implement efficient data models and service access patterns
  • Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs)
  • Use AI powered engineering tools to improve development quality, speed, and productivity
  • Mentor engineers, supporting them in technical planning, implementation, and best practices
  • Identify and resolve system performance bottlenecks, optimizing code, architecture, and infrastructure
  • Write unit and integration tests and participate in code reviews to uphold engineering excellence
  • Investigate production issues, ensuring timely and effective solutions
  • Fulltime
Read More
Arrow Right

Staff/Sr. Staff Ai Engineer - Enterprise Ai Solutions

As a Staff/Sr. Staff AI Engineer for Enterprise AI Solutions, you will be a crit...
Location
Location
United States , Santa Clara
Salary
Salary:
157200.00 - 254100.00 USD / Year
paloaltonetworks.com Logo
Palo Alto Networks
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years in software engineering, with 5+ years in Data science/AI/ML experience
  • Experience deploying enterprise AI/ML systems
  • Understanding of the AI lifecycle
  • Experience with distributed systems and streaming data
  • Hands-on experience with Generative AI and LLMs
  • Proficiency in AI/ML frameworks and cloud platforms
  • Strong programming skills (Python and C++)
  • Excellent communication skills
  • Masters/Bachelors degree in Computer Science or related field
Job Responsibility
Job Responsibility
  • Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI applications
  • Develop and implement core components of the enterprise AI/ML platform, ensuring scalability and security
  • Contribute to the lifecycle of traditional and Generative AI model deployment and real-time inference systems
  • Design and optimize large-scale AI/ML systems for performance, reliability, and developer-friendliness, focusing on low latency and high throughput in real-time AI applications
  • Evaluate and integrate new AI tools, frameworks, and cloud solutions, aligning with architectural guidelines
  • Lead POCs for emerging AI innovations
  • Champion design standards and best practices for AI systems, guiding junior engineers
  • Mentor AI/ML engineers, lead design discussions, and perform code reviews, fostering engineering excellence
  • Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production-grade AI solutions
  • Ensure AI systems comply with responsible AI principles and security policies
What we offer
What we offer
  • Restricted stock units
  • Bonus
  • Fulltime
Read More
Arrow Right

Staff AI Engineer

As a Staff AI Engineer, you will play a key role in designing and delivering hig...
Location
Location
India , Bengaluru, Karnataka, India | Hyderabad, Telangana, India | Pune, Maharashtra, India
Salary
Salary:
Not provided
teradata.com Logo
Teradata
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science or equivalent from a recognized institution
  • 8+ years of experience in backend services, distributed systems, or data platform development
  • Strong proficiency in Java, Go, or Python for service development
  • Deep understanding of design principles, distributed system patterns, and service architecture
  • Hands-on experience designing and developing RESTful APIs
  • Experience with SQL and NoSQL databases and data modelling
  • Strong debugging, problem solving, and troubleshooting skills
  • Experience with modern containerization and orchestration tools such as Kubernetes
  • Knowledge of public cloud platforms
  • Experience with AI productivity tools (e.g., GitHub Copilot)
Job Responsibility
Job Responsibility
  • Design, architect, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance
  • Collaborate with cross-functional engineers and product partners to shape architecture and consistently deliver end to end features
  • Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability
  • Work with SQL and NoSQL databases to implement efficient data models and service access patterns
  • Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs)
  • Use AI powered engineering tools to improve development quality, speed, and productivity
  • Mentor engineers, supporting them in technical planning, implementation, and best practices
  • Identify and resolve system performance bottlenecks, optimizing code, architecture, and infrastructure
  • Write unit and integration tests and participate in code reviews to uphold engineering excellence
  • Investigate production issues, ensuring timely and effective solutions
  • Fulltime
Read More
Arrow Right

Staff Ai Engineer

As a Staff AI Engineer, you will play a key role in designing and delivering hig...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
teradata.com Logo
Teradata
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science or equivalent from a recognized institution
  • 8+ years of experience in backend services, distributed systems, or data platform development
  • Strong proficiency in Java, Go, or Python for service development
  • Deep understanding of design principles, distributed system patterns, and service architecture
  • Hands-on experience designing and developing RESTful APIs
  • Experience with SQL and NoSQL databases and data modelling
  • Strong debugging, problem solving, and troubleshooting skills
  • Experience with modern containerization and orchestration tools such as Kubernetes
  • Knowledge of public cloud platforms
  • Experience with AI productivity tools (e.g., GitHub Copilot)
Job Responsibility
Job Responsibility
  • Design, architect, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance
  • Collaborate with cross-functional engineers and product partners to shape architecture and consistently deliver end to end features
  • Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability
  • Work with SQL and NoSQL databases to implement efficient data models and service access patterns
  • Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs)
  • Use AI powered engineering tools to improve development quality, speed, and productivity
  • Mentor engineers, supporting them in technical planning, implementation, and best practices
  • Identify and resolve system performance bottlenecks, optimizing code, architecture, and infrastructure
  • Write unit and integration tests and participate in code reviews to uphold engineering excellence
  • Investigate production issues, ensuring timely and effective solutions
  • Fulltime
Read More
Arrow Right

Staff AI Engineer

Rapid7 is seeking a Staff AI Engineer to join our Data Science team as we expand...
Location
Location
India , Pune
Salary
Salary:
Not provided
rapid7.com Logo
Rapid7
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8–12 years of experience as a Data Scientist, ML Engineer, or AI Engineer
  • Strong end-to-end practical expertise in ML/AI/DS
  • Able to explore, experiment, and deliver independently
  • Proficiency in scikit-learn, PyTorch, TensorFlow, Keras, HuggingFace, LangChain, Transformers, Pandas, NumPy
  • Strong communication skills
  • Collaboration across engineering, data science, product, and security teams
  • Experience mentoring and guiding junior data scientists
  • Agentic AI and LLM expertise
  • Hands-on experience with agentic AI architectures (CrewAI, LangGraph, LangChain agents, tool-calling, function-chaining)
  • Experience building multi-step reasoning workflows, autonomous agents, or LLM-powered decision systems
Job Responsibility
Job Responsibility
  • Work with security teams to define, scope, and design research efforts for new threat detections, automations, and AI-driven workflows
  • Collaborate with data scientists to transform research into production-ready solutions, mentoring on both methods and execution
  • Research, build, and evaluate ML and generative/LLM models, including agentic and multi-step reasoning systems
  • Design and optimise agentic architectures, including tool-calling, decision-making, memory, orchestration, and evaluation frameworks
  • Partner with engineering teams to ship AI features, integrating models into high-scale systems
  • Deploy AI/ML workloads in AWS using SageMaker, Bedrock, Lambda, EKS, Step Functions, and related services
  • Contribute to our LLMOps and MLOps workflows, improving evaluation pipelines, observability, reproducibility, and governance
  • Support development of AI security features, improving reasoning, context understanding, automation, and analyst workflows
  • Embrace agile development, iterative experimentation, and collaborative problem solving
  • Mentor junior team members and uplift the technical bar for agentic AI and ML engineering
  • Fulltime
Read More
Arrow Right

Staff AI Engineer, Payments

GoodLeap is a technology company delivering best-in-class financing and software...
Location
Location
United States , ROSEVILLE, CA / AUSTIN, TX / BENTONVILLE, AR / DALLAS, TX / IRVINE, CA / LEHI, UT / PLANO, TX / SAN FRANCISCO, CA / WEST PALM BEACH, FL
Salary
Salary:
173000.00 - 200000.00 USD / Year
goodleap.com Logo
GoodLeap
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of experience in backend development, with at least 2+ years working with AI/ML solutions or LLMs
  • Experience developing and deploying MCP Servers and working with the Model Context Protocol ecosystem
  • Hands-on experience designing and implementing agentic workflows using LLMs, including orchestration across APIs, tools, and data sources
  • Experience working with vector databases, embeddings, and semantic search
  • Familiarity with MLOps, CI/CD for AI pipelines, and AI observability tools
  • Strong experience in one or more of the following languages: Node.js, Python, C#, TypeScript
  • Strong experience designing and building APIs, including REST, GraphQL, gRPC, and event-driven architectures (e.g., Webhooks, Pub/Sub, Kafka)
  • Strong experience with cloud architecture on at least one major provider (AWS, GCP, or Azure)
Job Responsibility
Job Responsibility
  • Design and lead backend architecture that supports AI/ML-powered features across Web, Mobile, SMS/Voice, and API surfaces
  • Own end-to-end technical strategy for embedding LLMs, embedding stores, MCP Servers, and personalized content delivery
  • Architect and implement agentic workflows, enabling LLM-powered Agents to orchestrate tools, APIs, and data sources to deliver intelligent, adaptive payment experiences
  • Partner with product and design to scope features, validate feasibility, and ensure execution aligns with business impact
  • Build tools and services (including MCP Server integrations) to help other team members experiment and ship AI-enhanced features responsibly and efficiently
  • Influence engineering standards and promote excellence in observability, performance, and security
  • Mentor engineers across teams, helping them level up in areas of backend architecture, AI integration, and delivery quality
  • Collaborate with cross-functional partners across QA, Mobile, Data, Product, and Marketing
What we offer
What we offer
  • cash bonus
  • equity compensation
  • Fulltime
Read More
Arrow Right

Staff Engineer AI Agents

This is a rare chance to shape the future of how an entire industry operates — n...
Location
Location
United States , San Francisco Bay Area
Salary
Salary:
Not provided
helpcare.ai Logo
Helpcare AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of software engineering experience with a strong backend or distributed systems foundation
  • Demonstrated experience designing and shipping AI agents in production — not just prototypes. You've owned agent systems that real users depend on
  • Hands-on experience with at least one modern agent framework such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or a comparable orchestration layer
  • Deep familiarity with LLM integration patterns — prompt engineering, tool/function calling, memory systems, retrieval-augmented generation (RAG), and agent evaluation
  • Experience building reliable, observable agentic systems: tracing, error handling, fallback strategies, human-in-the-loop checkpoints, and graceful degradation
  • Strong proficiency in Python and/or TypeScript — the languages our agents live in
  • Ability to work across ambiguity and drive projects from problem definition through production deployment independently
  • Clear, direct communicator who can translate complex technical architectures for non-technical stakeholders
Job Responsibility
Job Responsibility
  • Architect, build, and deploy production AI agents using modern agent frameworks (LangGraph, CrewAI, AutoGen, or equivalent), owning the full lifecycle from design to reliability in production
  • Define the technical patterns and standards for how agents are built across the engineering org — you will be setting the playbook others follow
  • Lead the rebuilding of core platform systems — including our onboarding/configuration system, integration framework, and AI performance analytics infrastructure
  • Collaborate directly with the VPE and product leadership to translate product vision into agent architecture, and make high-stakes technical trade-offs with confidence
  • Own agent reliability, observability, and continuous improvement — defining how we measure, monitor, and iterate on agent behavior in production
  • Work across the stack (backend services, LLM orchestration, integrations, data pipelines) to ship agents that are robust and scalable
  • Tame legacy code and lay down new foundations — patterns and architecture you create will be inherited by the engineers who come after you
  • Be a close partner to the product and operations teams, turning their domain needs into intelligent automated workflows without requiring domain expertise upfront
What we offer
What we offer
  • Competitive compensation package including meaningful early-stage equity
  • Fulltime
Read More
Arrow Right

AI Staff Engineer

At Multiverse, we believe technology should empower everyone to achieve their po...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
multiverse.io Logo
Multiverse
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven Staff-Level experience: 6-7 years in software engineering with strong understanding of Applied AI fundamentals
  • Experience working in cross-functional product teams
  • LLM Expertise: Experienced in working with large language models (e.g., GPT, Claude, Gemini Pro) for production use cases, including prompt engineering, evaluation, and safety & inclusivity considerations
  • Strong Engineering Skills: Proficient in Python and TypeScript, with experience building APIs, microservices, and cloud-native applications
  • Experience with AI Tools: Familiarity with emerging AI tooling platforms such as Cursor and Gemini is highly desirable
  • Cloud & MLOps: Practical experience deploying AI solutions on AWS, with a strong grasp of version control, observability, and evaluation pipelines
  • Data Skills: Skilled at working with structured and unstructured data, applying preprocessing and feature engineering techniques
  • User Focus: You can translate complex AI capabilities into product experiences that feel effortless and intuitive
  • Collaborative Approach: You work best in creative and cross-functional teams and thrive when building together
  • Growth Mindset: You’re curious, open to feedback, and excited to share what you learn while contributing to an inclusive, high-performing culture
Job Responsibility
Job Responsibility
  • Design, Architect & Deliver AI Solutions: Partner with Product, Design, and Data teams to shape and deliver AI-powered features that generate real impact to our learners, value for our customers, and align with Multiverse’s mission
  • Establish LLM Best Practices: Define the technical standards and governance for leveraging Large Language Models (LLMs), including design, fine-tuning, and integration for high-impact production use cases such as content generation, semantic search, summarisation, and personalised learning experiences
  • Build & Integrate Models: Develop, fine-tune, and embed machine learning models into production systems using tools like Cursor and Gemini, ensuring they are fast, scalable, and dependable
  • Own the End-to-End Lifecycle: Take responsibility for the journey from raw data through experimentation, deployment to users, and continuous iteration
  • Measure What Matters: Track the performance, accuracy, and adoption of AI features, and use those insights to drive constant improvement
  • Mentor and Scale Expertise: Mentor and coach engineers across teams, sharing your deep expertise to make AI approachable and set the direction for best practices, significantly elevating the team's capabilities
  • Lead in MLOps & Cloud Infrastructure: Build robust pipelines for deployment, and monitoring using AWS cloud services and modern MLOps best practices
  • Champion Innovation: Keep us ahead of the curve by exploring new AI tools, including Cursor and Gemini, and applying them to create exceptional user experiences
  • Drive Organisational Adoption: Champion new technologies and approaches (including AI-assisted tools), driving their successful adoption across multiple teams while balancing experimentation with pragmatic delivery
  • Cross-Team Influence: Act as a key technical advisor and connector across product, design, and engineering, ensuring alignment on strategic initiatives
What we offer
What we offer
  • Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
  • Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
  • Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
  • Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year
  • Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!
  • Fulltime
Read More
Arrow Right