Applied AI Engineer

New

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

New

Principal Engineering Manager - Applied AI

We are looking for a Principal Engineering Manager to join our growing Applied A...

Location

United States , Seattle

Salary:

240870.00 - 297652.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

2+ years of experience in Generative AI and Agentic AI systems, including LLMs, context engineering, and modern vector-based retrieval systems
4+ years working as an engineering manager
8+ years working as a professional software developer
A great understanding of Generative AI systems, best practices and experience in shipping Agentic AI into distributed, data-intensive production systems
Experience developing and operating Cloud services at enterprise scale
Strong programming skills in Java, Python, C#, Typescript or equivalent programming language
Substantial depth and breadth of management experience to lead and grow an Applied AI team
Great collaboration with teams with different backgrounds/expertise/functions
Expertise in full product lifecycle
technical designs, project planning, iterative implementation, and successful product launches

Job Responsibility

Lead a team of Applied AI engineers that works at the bleeding edge of Generative AI to solve high-impact business challenges
Apply Generative AI to solve hard unsolved challenges in the application of Agentic AI to real-world business challenges
Grow, coach, build and scale the Applied AI team
Drive operational excellence to achieve enterprise-grade scale, reliability, security, cost-efficiency and performance
Drive technical direction for building a safe, scalable and reliable Agentic AI platform for all of Highspot
Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences
Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Health Savings Account (HSA) with employer contribution
401(k) Matching with immediate vesting on employer match
Flexible PTO
8 paid holidays and 5 paid days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
18 weeks paid parental leave
Access to Coaches and Therapists through Modern Health
2 volunteer days per year
Commuting benefits

Fulltime

New

Sr. Principal Software Engineer - Applied AI

We are looking for a Principal Software Engineer to join our growing Applied AI ...

Location

United States , Seattle

Salary:

277391.00 - 342391.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

2+ years of experience in Generative AI and Agentic AI systems, including LLMs, context engineering, and modern vector-based retrieval systems
8+ years working as a professional software developer
A great understanding of Generative AI systems, best practices and experience in shipping Agentic AI into distributed, data-intensive production systems
Experience developing and operating Cloud services at enterprise scale
Strong programming skills in Java, Python, C#, Typescript or equivalent programming languages
Great collaboration with teams with different backgrounds/expertise/functions
Expertise in full product lifecycle
technical designs, fast shipping, iterative implementation, and successful product launches
Experience and passion for mentoring and encouraging collaborative teams
Experience in cultivating a strong engineering culture in an agile environment

Job Responsibility

Apply Generative AI to solve hard unsolved challenges in the application of Agentic AI to real-world business challenges
Work with a team of Applied AI engineers that works at the bleeding edge of Generative AI to solve high-impact business challenges
Grow, coach, build and scale talent on the Applied AI team
Drive operational excellence to achieve enterprise-grade scale, reliability, security, cost-efficiency and performance
Drive technical direction for building a safe, scalable and reliable Agentic AI platform for all of Highspot
Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences
Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Health Savings Account (HSA) with employer contribution
401(k) Matching with immediate vesting on employer match
Flexible PTO
8 paid holidays and 5 paid days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
18 weeks paid parental leave
Access to Coaches and Therapists through Modern Health
2 volunteer days per year
Commuting benefits

Fulltime

New

Machine Learning Engineer - LLMs & Generative AI

Truveta is the world’s first health provider led data platform with a vision of ...

Location

United States , Seattle

Salary:

155000.00 - 175000.00 USD / Year

Truveta

Expiration Date

Until further notice

Requirements

6+ years of experience in software engineering or machine learning (3+ years with a PhD)
Experience designing and training LLMs or large-scale generative models (e.g., GPT, PaLM, LLaMA, Claude, Gemma)
Deep expertise in NLP, sequence modeling, and transformer architectures
Proficient in Python and ML libraries such as PyTorch or TensorFlow
strong engineering skills in building scalable ML pipelines
Experience with RL-based fine-tuning (e.g., Reinforcement Learning from Human Feedback) and evaluation of generative systems
Proven ability to lead technical projects and collaborate across teams
Bachelor's degree in Computer Science, Engineering, or a related technical field

Job Responsibility

Lead the development, training, and deployment of large language and multimodal foundation models tailored to clinical and biomedical domains
apply and refine state-of-the-art techniques such as supervised fine-tuning (SFT), reinforcement learning-based methods (e.g., RLHF, RLVR), parameter-efficient fine-tuning (PEFT), prompt tuning, and retrieval-augmented generation (RAG)
Collaborate cross-functionally with researchers, clinicians, and engineers to design ML-driven solutions that improve healthcare delivery and outcomes
Build scalable infrastructure for distributed training of large models (TPU/GPU clusters, multi-node orchestration)
Design and evaluate models for robustness, bias mitigation, factual consistency, and explainability in healthcare contexts
Stay current with the latest research in generative AI and contribute back to the community through publications and open-source initiatives

What we offer

Interesting and meaningful work for every career stage
Great benefits package
Comprehensive benefits with strong medical, dental and vision insurance plans
401K plan
Professional development & training opportunities for continuous learning
Work/life autonomy via flexible work hours and flexible paid time off
Generous parental leave
Regular team activities (virtual and in-person)
Additional compensation such as incentive pay and stock options

Fulltime

New

Research and utilize state-of-the-art Gen AI and machine learning (ML) technique...

Location

United States , Washington, D.C.

Salary:

160000.00 - 250000.00 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
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

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

Equity in the form of employee stock options

Fulltime

New

Manager, Software Engineering - Expressive AI

The Expressive AI team is responsible for applying generative AI models to desig...

Location

United States , New York

Salary:

250000.00 - 350000.00 USD / Year

Figma

Expiration Date

Until further notice

Requirements

4+ years of experience hiring and leading teams as an engineering manager
Ability to think strategically about engineering and product roadmaps, on both short and longer term time horizons
Demonstrated experience applying advancements in AI from both engineering and product perspectives, with a specific focus on LLMs, diffusion models, and image/video generation
Proven leadership in building high-performing, highly engaged engineering teams, with a strong track record of motivating, mentoring, and guiding senior engineers while hiring top industry talent
Exceptional ability to work cross-functionally across Product, Design, and Marketing, as well as collaborating with other engineering teams to ship both customer and internal-facing projects
A strong sense of technical curiosity, a willingness to learn and grow alongside your team, and a genuine passion for design and craft

Job Responsibility

Partner with Product and Design to build and execute a long-term roadmap that delivers a world-class user experience for designers in Figma
Work closely with cross-functional partners and engineering teams to push the boundaries of what’s possible through the application of AI to creative problems
Hire, manage, support, and develop a team of engineers, including staff level engineers
Establish trust within and across teams by creating accountability and a positive work environment in partnership with other organizational leaders
Grow your career within an engaged and creative engineering community
Help drive initiatives through hiring, community events, and cross-functional programs across Figma

What we offer

equity
health, dental & vision benefits
retirement with company contribution
parental leave & reproductive or family planning support
mental health & wellness benefits
generous PTO
company recharge days
a learning & development stipend
a work from home stipend
cell phone reimbursement

Fulltime

Staff Software Engineer - Applied AI

CVS Health is looking for a Staff AI Engineer who isn't afraid to use all their ...

Location

United States , Work at Home

Salary:

106605.00 - 260590.00 USD / Year

CVS Health

Expiration Date

December 31, 2025

Requirements

7+ years of experience in large scale software development
5+ years of solution design and/or architecture experience, including capturing requirements in a customer-facing capacity
5+ years of experience in designing and developing solutions using NodeJS, highly scalable microservices, REST APIs
3+ years of experience in AWS technology stack and DevOps/CICD processes
3+ years collaborating with engineering teams on prototype development
Experience with AWS Bedrock and AI technologies
Expertise in Python programming for AI/ML development
Bachelor's degree from accredited university or equivalent work experience

Job Responsibility

Lead the end-to-end design, development, testing, deployment, maintenance, and enhancement of highly scalable, reliable, and secure AI services and applications utilizing AWS Bedrock
Architect robust, efficient, and secure AI/ML computing infrastructures and application stacks capable of handling large-scale data processing and inference demands
Design and implement solutions leveraging the AWS Bedrock Converse API for unified interaction with foundation models
Develop and implement Retrieval-Augmented Generation (RAG) patterns using AWS Bedrock Knowledge Bases
Build comprehensive solutions that effectively integrate Bedrock's managed services with custom components
Actively research, evaluate, and stay current with the latest advancements, trends, and research in AI/ML
Champion and implement responsible AI practices, ensuring fairness, transparency, security, and ethical considerations
Collaborate with cross-functional teams, including product managers, architects, and software developers
Mentor and guide junior engineers, helping them enhance their technical skills and grow professionally

What we offer

Affordable medical plan options
401(k) plan with matching company contributions
Employee stock purchase plan
No-cost wellness screenings
Tobacco cessation and weight management programs
Confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources

Fulltime

Senior AI Engineer

We are seeking an innovative AI Engineer to join a brand new team focused on pro...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

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

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

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

Applied AI Engineer – Generative AI

Kodiak Robotics

Location:
United States, Mountain View

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 09, 2025

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