Applied AI Field Engineer Job at Instabase (Boston)

Applied AI Field Engineer

This role places you at the forefront of the Generative AI revolution, empowerin...

Location

United States , San Francisco

Salary:

157000.00 - 175000.00 USD / Year

Instabase

Expiration Date

Until further notice

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

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

What we offer

commission
equity
benefits

Fulltime

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...

Location

United States , Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

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

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

equity in the form of employee stock options

Fulltime

Sr. Applied AI Engineer, Generative AI Applications

HBS Foundry is a new initiative at Harvard Business School that helps founders b...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
A bachelor's degree in computer science, data science, or a related field is required
Strong proficiency in programming languages such as Python and Java
Experience with AI frameworks like TensorFlow and PyTorch
Strong analytical and logical thinking skills to tackle complex problems
Ability to work effectively with cross-functional teams
Familiarity with cloud platforms is often beneficial

Job Responsibility

Lead comprehensive applications/web development for highly complex projects
Deliver strategic and expert coding
focus on overarching development strategy for a large, complex, multi-faceted application
May manage a number of projects simultaneously
Design, develop, and deploy state-of-the-art generative AI models
Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents
Develop and train AI models: Create and train machine learning models and neural networks for tasks like data analysis, natural language processing, and computer vision
Implement and integrate AI: Write code to integrate AI functionality into existing software and ensure seamless deployment with other systems and APIs
Data preprocessing: Clean, prepare, and manage large datasets to be used for training and fine-tuning models
Optimize performance: Design and optimize machine learning algorithms for scalability and high performance and continuously monitor and test AI systems for improvement

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Applied AI Engineer – Generative AI

Kodiak is redefining what AI can do in autonomy, and generative models play a cr...

Location

United States , Mountain View

Salary:

150000.00 - 250000.00 USD / Year

Kodiak Robotics

Expiration Date

Until further notice

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

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

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

Sr. Applied Scientist – AI Velocity Team, Applied AI Acceleration Solutions Architecture

Are you passionate about using data science to transform how businesses understa...

Location

United States , Seattle; New York

Salary:

167100.00 - 248700.00 USD / Year

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

Master's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
5+ years of quantitative and qualitative data science/business intelligence with significant business impact experience
3+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
PhD, or PhD and 4+ years of designing experiments and statistical analysis of results experience
Experience in A/B testing
Proficiency in Python and SQL
experience with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost
Track record of delivering end-to-end data science solutions from problem definition through production deployment

Job Responsibility

Design, develop, and deploy statistical models and machine learning pipelines to drive product improvements and business decisions
Work directly with customers during production pilots to design, build, and deploy AI solutions that demonstrate measurable business value
Design and execute A/B experiments and causal inference analyses to measure the impact of new features and model changes on customer outcomes
Build ROI models and business case tools that quantify the value of Connect Customer AI for existing customers transitioning from Connect Customer Basic
Develop and maintain forecasting systems for demand prediction, capacity planning, and workforce optimization
Develop and apply NLP and generative AI techniques to extract insights from structured and unstructured data at scale
Partner with applied scientists and software engineers to productionize models, ensuring reliability, monitoring, and operational excellence
Enable AI Velocity teams with reusable analytical assets, diagnostic notebooks, and scalable tooling that accelerate customer engagements
Build benchmarking studies and optimization frameworks that demonstrate value across customer cohorts
Own success metrics and create mechanisms to measure model performance, adoption, and business impact

What we offer

health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parental leave
sign-on payments
restricted stock units (RSUs)

Fulltime

Applied AI Engineer - Engineering Simulation & Design Exploration

Engineering simulation is undergoing a structural shift. What used to be a slow,...

Location

Canada , Quebec

Salary:

Not provided

Bentley Systems

Expiration Date

Until further notice

Requirements

Strong programming ability (Python required)
Experience with PyTorch, JAX, or similar ML frameworks
Solid understanding of numerical simulation: FEM, CFD, or multiphysics modeling
Familiarity with: Deep learning, surrogate modeling, reduced-order models, or optimization workflows
Good communication skills and collaborative mindset

Job Responsibility

Keep track of new technologies in the field
Evaluate emerging simulation and AI tools through hands-on prototyping
Build and benchmark surrogate models against traditional FEM/CFD workflows
Test robustness, limitations, and failure modes of new approaches
Prototype hybrid pipelines (e.g., surrogate + high-fidelity validation)
Explore how these approaches can integrate into real engineering workflows
Report to stakeholders with clear recommendations

Fulltime

Senior Applied Ai Engineer - Multimodal Transformers

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ...

Location

United States , Mountain View

Salary:

200000.00 - 260000.00 USD / Year

Kodiak Robotics

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in AI, Computer Science, or a related field
4+ years experience with transformer architectures, particularly in multimodal or multi-stream settings
Familiarity with cross-attention, token fusion, or modality alignment techniques
Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
Strong understanding of scalable training for large models, including distributed training and mixed-precision optimization
Passion for building AI that reasons over the full breadth of sensory input to operate safely in the real world

Job Responsibility

Design and develop multimodal transformer architectures that fuse camera, LiDAR, and radar into unified representations
Research and implement cross-modal attention mechanisms, token fusion strategies, and efficient multi-stream tokenization
Build scalable training pipelines for large-scale multimodal transformers across massive real-world datasets
Explore self-supervised and contrastive pretraining objectives that learn transferable multimodal representations
Optimize transformer models for real-time inference under latency and compute constraints

What we offer

Competitive compensation package including equity and annual bonuses
Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)
MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
Flexible PTO, 10 paid holidays, 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 through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)
Fidelity 401(k)
Commuter, FSA, Dependent Care FSA, HSA
Various incentive programs (referral bonuses, patent bonuses, etc.)

Fulltime

Applied AI Engineer - MCP

We are hiring a founding group of engineers to kickstart this mission. As an AI ...

Location

India , Chennai

Salary:

Not provided

Appian Corporation

Expiration Date

Until further notice

Requirements

AI Infrastructure Experience: Professional experience building and deploying production-grade GenAI systems on GCP Vertex AI or AWS Bedrock including LLM APIs, agent frameworks, and RAG pipelines
Python Mastery: Deep proficiency in Python and common AI/ML libraries (e.g., LangChain, LlamaIndex, OpenAI SDK, Google Cloud AI SDK)
Agentic Systems: Hands-on experience building multi-step, tool-calling AI agents that operate reliably in production including tool schema design, structured outputs, and failure handling
MCP or Tool Protocol Experience: Familiarity with Model Context Protocol (MCP) or equivalent patterns for exposing enterprise resources to AI systems as callable, permissioned tools
Vector & Retrieval Systems: Experience with vector databases (Pinecone, pgvector, or similar) and embedding-based retrieval at scale
Technical Foundation: B.S. in Computer Science, Engineering, or a related technical field
The Pioneer Mindset: A self-starter who is excited to be part of a "first-of-its-kind" team and thrives in environments where you are building the playbook

Job Responsibility

Build the AI Platform: Design, deploy, and scale GenAI infrastructure on GCP Vertex AI (preferred) or AWS Bedrock
Build & Operate MCP Servers: Develop and maintain Model Context Protocol (MCP) servers that expose enterprise systems (databases, APIs, internal tools) as structured, AI-consumable capabilities
Design the Tool Layer: Build the tool registry and invocation framework that allows agents to interact with internal systems safely and reliably including schema design, access controls, and error handling
Engineer Agent-to-Agent Infrastructure: Architect the communication and coordination layer that allows specialized agents to delegate tasks, share context, and compose into larger autonomous workflows
Own the Retrieval Layer: Architect and operate RAG systems, including vector stores, embedding pipelines, chunking strategies, and retrieval evaluation frameworks
Establish AI Reliability: Instrument AI systems with logging, tracing, latency monitoring, and evaluation hooks so agents can be trusted, debugged, and improved in production

What we offer

health coverage
Employee Assistance Program (EAP) with free mental health support
life and disability insurance
Employee Stock Purchase Program (ESPP)
retirement/pension plan
wellness dollars
tuition reimbursement
family-forming benefits

Fulltime

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Applied AI Field Engineer

Job Description

Job Responsibility

Requirements

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Looking for more opportunities?

Applied AI Field Engineer

Applied AI Field Engineer

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Applied AI Engineer – Generative AI

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Applied AI Engineer - Engineering Simulation & Design Exploration

Senior Applied Ai Engineer - Multimodal Transformers

Applied AI Engineer - MCP

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