CrawlJobs Logo

Applied AI Field Engineer

instabase.com Logo

Instabase

Location Icon

Location:
United States , San Francisco

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

157000.00 - 175000.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

This role places you at the forefront of the Generative AI revolution, empowering you to build transformative solutions for the world’s largest enterprises. We are redefining the traditional Sales Engineering role. At Instabase, we are moving beyond static software to dynamic AI workforces. As an Applied AI Field Engineer, you will be the bridge between complex business inefficiencies and our no-code AI automation platform. You won’t just demonstrate features; you will architect intelligent workflows that transform unstructured data into action.

Job Responsibility:

  • Strategic Solutioning: Partner with Account Executives to uncover high-value customer pains
  • translate these into business requirements then into concrete AI automation designs using our platform
  • Build to Win: Design and configure compelling Proofs of Concept (POCs)
  • leverage our drag-and-drop workflow builders and our collaboration AI toolsets to show customers their own data being processed in real-time
  • Applied AI Advisory: Act as a trusted advisor on “The Art of the Possible”
  • educate customers on prompt engineering best practices, agentic workflows, and how to govern AI safely
  • Champion the User Experience: be the primary feedback loop to Product Management, helping us refine the user interface and agent capabilities

Requirements:

  • Hybrid DNA: technical chops of a software engineer and communication skills of a consultant
  • comfortable in a Jupyter Notebook and a boardroom
  • Applied AI Fluency: 3+ years of experience building or deploying AI/ML solutions
  • understanding of the functional application of LLMs
  • know how to prompt a model to get the best result
  • understand the practicalities of Generative AI, LLMs (GPT, Gemini, Anthropic), and RAG
  • Technical Storytelling: proven track record in a customer-facing role
  • excel at simplifying complex AI concepts for non-technical stakeholders
  • Data Literacy: comfortable working with unstructured data
  • understand the nuance of extracting structured value from it
  • Sales Engineering Excellence: proven track record in a customer-facing technical role
  • know how to map technical features to business value
  • Problem Solving: love unstructured problems
  • can look at a messy dataset and instantly visualize the AI pipeline needed to structure it
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
What we offer:
  • commission
  • equity
  • benefits

Additional Information:

Job Posted:
January 02, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Icon
Instabase - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

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

Briefcase Icon

Similar Jobs for Applied AI Field Engineer

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...
Location
Location
United States , Redwood City; San Francisco
Salary
Salary:
172000.00 - 300000.00 USD / Year
snorkel.ai Logo
Snorkel AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
  • 3+ years of customer-facing experience in the design and implementation of AI/ML solutions
  • Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
  • Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
  • Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
  • Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • Ability to work in a fast-paced environment and balance priorities across multiple projects at once
Job Responsibility
Job Responsibility
  • Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
  • Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
  • Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
  • Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
  • Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
  • Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
  • Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
  • Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
  • Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
  • Annual travel up to 25%
What we offer
What we offer
  • equity in the form of employee stock options
  • Fulltime
Read More
Arrow Right

Applied AI Engineer – Generative AI

Kodiak is redefining what AI can do in autonomy, and generative models play a cr...
Location
Location
United States , Mountain View
Salary
Salary:
150000.00 - 250000.00 USD / Year
kodiak.ai Logo
Kodiak Robotics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS, MS, or PhD in AI, Computer Science, or a related field, or at least 2-3 years of industry experience
  • Experience with diffusion models, autoregressive learning, or generative AI methods
  • Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
  • Strong understanding of uncertainty modeling and self-supervised learning
  • Passion for building AI that continuously adapts and learns
Job Responsibility
Job Responsibility
  • Develop generative models that enhance adaptability and improve AI robustness
  • Research and implement diffusion-based, autoregressive, and variational techniques for real-world AI applications
  • Apply generative methods to anticipate challenges and reinforce decision-making
  • Build self-improving AI pipelines that continuously refine model understanding
  • Optimize models for efficient, scalable, and interpretable AI decision-making
What we offer
What we offer
  • Competitive compensation package including equity and biannual bonuses
  • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
  • Flexible PTO and generous parental leave policies
  • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
  • Long Term Disability, Short Term Disability, Life Insurance
  • Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health
  • Fidelity 401(k)
  • Commuter, FSA, Dependent Care FSA, HSA
  • Various incentive programs (referral bonuses, patent bonuses, etc.)
  • Fulltime
Read More
Arrow Right

Applied AI Engineer

Research and utilize state-of-the-art Gen AI and machine learning (ML) technique...
Location
Location
United States , Washington, D.C.
Salary
Salary:
160000.00 - 250000.00 USD / Year
snorkel.ai Logo
Snorkel AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
  • 3+ years of customer-facing experience in the design and implementation of AI/ML solutions
  • Proficiency in Python, including strong grounding in software engineering fundamentals
  • Expertise across the Applied AI stack, spanning classical ML libraries, deep learning frameworks, foundation-model ecosystems, vector/embedding tooling, data processing frameworks, retrieval/RAG tooling, synthetic dataset curation, evaluation workflows, and LLM orchestration
  • Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders
  • Outstanding presentation skills to technical and executive audiences
  • Ability to work in a fast-paced environment and balance priorities across multiple projects at once
  • Experience reviewing and drafting responses to federal Requests for Comment (RFCs), Requests for Information (RFIs), Requests for Proposals (RFPs), etc. is preferred
  • Experience working across the Civilian, DOD and NATSEC agencies, inclusive of experience in Federal Law Enforcement, Healthcare, Financial/Regulatory and Military operations and logistics
  • Candidates must have an active TS/SCI
Job Responsibility
Job Responsibility
  • Partner with customers to build and deploy impactful Gen AI and machine learning solutions
  • Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
  • Create augmented real-world datasets and comprehensive evaluation workflows
  • Forge and manage relationships with our customers’ leadership and stakeholders
  • Collaborate closely with pre-sales Solutions and Product teams
  • Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
  • Lead stakeholder education on quantitative capabilities
  • Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
  • Conduct one-to-few and one-to-many enablement workshops
  • Work on all aspects of complex National Security problems
What we offer
What we offer
  • Equity in the form of employee stock options
  • Fulltime
Read More
Arrow Right

Applied AI Engineer - Flywheel Automation & Continuous Learning

Kodiak is seeking a world-class Applied AI Engineer to design and build the AI F...
Location
Location
United States , Mountain View
Salary
Salary:
180000.00 - 240000.00 USD / Year
kodiak.ai Logo
Kodiak Robotics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Robotics, or a related field
  • 3+ years of experience building production-grade ML infrastructure or model pipelines
  • Deep proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Experience with distributed training and pipeline orchestration (e.g., Airflow, Kubeflow, Dagster)
  • Strong engineering fundamentals, debugging skills, and ability to scale systems
  • Passion for turning real-world data into self-improving AI systems
Job Responsibility
Job Responsibility
  • Design and implement the end-to-end AI Flywheel, platforms for training, validation, deployment, and building a robust automated system
  • Build and maintain multi-node distributed training pipelines using tools like PyTorch DDP, Horovod, or Ray
  • Develop smart data mining and active learning strategies to prioritize valuable training data from petabyte-scale logs
  • Automate model evaluation and selection pipelines to support rapid iteration and closed-loop deployment
  • Build infrastructure for seamless model image packaging, validation, and rollout across Kodiak’s autonomous fleet and AI platform
  • Ensure that the flywheel is reliable, reproducible, and scalable, capable of learning from millions of real-world miles
What we offer
What we offer
  • Competitive compensation package including equity and biannual bonuses
  • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
  • Flexible PTO and generous parental leave policies
  • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
  • Long Term Disability, Short Term Disability, Life Insurance
  • Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health
  • Fidelity 401(k)
  • Commuter, FSA, Dependent Care FSA, HSA
  • Various incentive programs (referral bonuses, patent bonuses, etc.)
  • Fulltime
Read More
Arrow Right

Senior AI Engineer

We are seeking an innovative AI Engineer to join a brand new team focused on pro...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience as an AI Engineer with a significant delivery history
  • Strong expertise in multiple programming languages & frameworks
  • Experience and proven experience in using quantitative testing practice applied to the field of AI/ML for actionable Go/No-Go decisions of delivering software to production
  • Demonstrated expertise of developing on a range of architectures, ideally up to and including container-based micro-services with focus on scalability, reliability, maintainability, and high performance
  • Good understanding of SQL and NoSQL databases
  • Excellent communication and collaboration skills
  • A growth mindset and willingness to learn and adapt in a fast-paced environment
  • Passion about site reliability engineering and its impact on product development
  • Being connected to latest technologies, like Generative AI, and keen to put them in practice.
Job Responsibility
Job Responsibility
  • Understand the landscape, tooling and procedures used by developers at Citi and look for opportunities to reduce toil and aid simplification using Gen AI based solutions
  • Apply classic AI and novel Gen AI evaluation methodology to raise the quality and reliability bar for the software that you will deliver, as well to manage and mitigate risks that are specific/inherent to this field
  • Advice on Evaluation metrics, devise and implement Quantitative Testing Plans, and help evolve the existing approaches to AI evaluation
  • Work with a wide variety of Citi technology teams and help them drive towards everything-as-code and a codified controls environment
  • Collaborate with product and engineering teams to design, build and maintain scalable and reliable web applications and services
  • Be hands-on with coding and software design to ensure adherence to high quality standards and best practices
  • Mentor and nurture other engineers to help them grow their skills and expertise
  • Support and drive cultural change, including instigating critical thinking about controls and processes and encouraging a culture of continuous improvement.
What we offer
What we offer
  • 27 days annual leave (plus bank holidays)
  • A discretional annual performance-related bonus
  • Private Medical Care & Life Insurance
  • Employee Assistance Program
  • Pension Plan
  • Paid Parental Leave
  • Special discounts for employees, family, and friends
  • Access to an array of learning and development resources.
  • Fulltime
Read More
Arrow Right

Applied Machine Learning Engineer

As an Applied Machine Learning Engineer, you will serve as a vital bridge betwee...
Location
Location
United States , New York, NY; San Mateo, CA; Redwood City, CA
Salary
Salary:
170000.00 - 240000.00 USD / Year
fireworks.ai Logo
Fireworks AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field
  • 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles
  • Robust coding skills required, preferably with proficiency in Python
  • Demonstrated ability to lead and execute complex technical projects with a focus on customer success
  • Strong interpersonal and communication skills
  • ability to thrive in dynamic, cross-functional teams
Job Responsibility
Job Responsibility
  • Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions
  • Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology
  • Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs
  • Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues
  • New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments
  • Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications
  • Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration
What we offer
What we offer
  • meaningful equity in a fast-growing startup
  • competitive salary
  • comprehensive benefits package
  • Fulltime
Read More
Arrow Right

Thesis Students in Applied AI

We’re looking for motivated master’s students who want to explore the frontier o...
Location
Location
Sweden , Stockholm
Salary
Salary:
Not provided
predli.com Logo
Predli
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Enrolled in a master’s program in Machine Learning, AI, Data Science, Computer Science, or Engineering Physics (or a related field)
  • Curious, analytical, and eager to explore how AI can be applied in practice
  • Skilled in Python and Typescript
  • Confident in taking initiative, communicating ideas clearly, and working both independently and collaboratively
  • Excited to learn from and contribute to a small, high-impact team where knowledge sharing and experimentation are part of everyday life
  • Preferably based in Stockholm, with the possibility to work partly remote
  • Fluent in English
Job Responsibility
Job Responsibility
  • Explore the frontier of applied AI
  • Contribute to ongoing work with Predli Studio
  • Help define what’s next in applied AI
  • Work with engineers and researchers to define a clear thesis scope
  • Contribute directly to the development of Predli Studio
  • Help shape how organizations build and deploy AI in practice
What we offer
What we offer
  • Work alongside experienced AI engineers and researchers
  • Get access to real-world data, infrastructure, and insights from ongoing AI projects
  • Be part of a collaborative environment where learning, curiosity, and knowledge sharing are valued
  • Gain exposure to both the consulting and product sides of applied AI
  • Possibility to continue your journey with us after your thesis
Read More
Arrow Right
New

Principal Forward Deployed Engineer, AI

As a Principal Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the fo...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 10+ years of experience in backend software development
  • 5+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
  • Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
  • Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
  • Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
  • Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
  • Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
  • Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
  • Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
  • Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
  • Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
  • Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
  • Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
  • Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
What we offer
What we offer
  • Health and wellbeing resources
  • Paid volunteer days
Read More
Arrow Right
Welcome to CrawlJobs.com –
Your Global Job Discovery Platform
At CrawlJobs.com, we simplify finding your next career opportunity by bringing job listings directly to you from all corners of the web. Using cutting-edge AI and web-crawling technologies, we gather and curate job offers from various sources across the globe, ensuring you have access to the most up-to-date job listings in one place.
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Poland Jobs Ireland Jobs Germany Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy