Applied AI Engineer – Generative AI Job at Kodiak Robotics (Mountain View)

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

Lead AI Engineer (Generative AI)

Location

Australia , Melbourne

Salary:

160000.00 - 170000.00 AUD / Year

Salt

Expiration Date

Until further notice

Requirements

2 – 4 years experience applying modern Generative AI in real delivery environments
A strong track record of providing technical leadership
A strong background in software engineering before stepping into a more AI-focused role in recent times
Deep expertise in Generative AI, large language models, retrieval‑augmented generation (RAG), and modern machine learning techniques
Strengths in prompt engineering, offline/online evaluation, safety guardrails, and telemetry‑driven improvement
Practical experience with RAG, embeddings/vector search, and tool‑use/function‑calling orchestration
The ability to define trustworthy AI metrics
A Software engineering background using the likes of React, Typescript, React Native
AWS experience / certifications
Strong knowledge of CI/CD

Job Responsibility

Accelerating the adoption of Generative AI for this company, leading the adoption of AI‑first engineering practices and an 'AI-first' mindset
Providing technical leadership and shaping AI-enabled solutions
Reporting into the Head of Technology and working closely with the Head of Enterprise AI
Collaborating with a variety of cross-functional teams including
Engineering, QA, BA, Product Management, Senior Business Stakeholders, Data Science, Cyber Security, Enterprise Architecture
Coaching and training engineers and leaders in the organisation in safe, effective AI‑assisted development
Encouraging teams to embed AI‑driven thinking in solution design and delivery
Defining and helping to operationalise trustworthy metrics to measure the impact of AI features, and developer productivity uplifts
Producing AI-augmented solution designs when required
Driving engineering excellence by uplifting standards, modernising technical practices, and championing AI‑aligned SDLC patterns

What we offer

Super
Bonus

Fulltime

Ai / Generative Ai Engineer - Agentic Systems & Platforms

We are seeking an AI / Generative AI Engineer to design and build production‑gra...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Strong Python and backend engineering expertise
Experienced in building and deploying LLM‑based applications, RAG systems, and agentic workflows
Comfortable working with orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel
Knowledgeable in data engineering concepts, including data pipelines and vector databases
Experienced with at least one major cloud platform (Azure, AWS, or GCP)
Familiar with containerisation and deployment using Docker and Kubernetes
Able to collaborate effectively in cross‑functional teams and communicate technical concepts clearly
Committed to secure, ethical, and responsible use of AI technologies

Job Responsibility

Build LLM‑based copilots and intelligent assistants for enterprise use cases
Design and implement Retrieval‑Augmented Generation (RAG) solutions using structured and unstructured data
Develop and orchestrate multi‑agent workflows using modern frameworks and orchestration logic
Create and maintain backend APIs using Python frameworks such as FastAPI or Flask
Integrate enterprise platforms and external APIs into scalable AI solutions
Build data pipelines for ingestion, transformation, and embedding workflows
Implement and manage vector databases, ensuring performance and reliability
Establish evaluation frameworks to assess LLM output quality and relevance
Implement observability practices including tracing, logging, and monitoring
Apply software engineering best practices including modular code design, testing, documentation, and CI/CD pipelines

What we offer

Opportunities to work on cutting‑edge, enterprise‑scale AI systems
Exposure to complex, real‑world use cases with measurable business impact
A collaborative environment that supports continuous learning and growth
Competitive salary and access to Vodafone’s global career development ecosystem

Fulltime

Ai / Generative Ai Engineer - Agentic Systems & Platforms

We are seeking an AI / Generative AI Engineer to design and build production‑gra...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Strong Python and backend engineering expertise
Experienced in building and deploying LLM‑based applications, RAG systems, and agentic workflows
Comfortable working with orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel
Knowledgeable in data engineering concepts, including data pipelines and vector databases
Experienced with at least one major cloud platform (Azure, AWS, or GCP)
Familiar with containerisation and deployment using Docker and Kubernetes
Able to collaborate effectively in cross‑functional teams and communicate technical concepts clearly
Committed to secure, ethical, and responsible use of AI technologies

Job Responsibility

Build LLM‑based copilots and intelligent assistants for enterprise use cases
Design and implement Retrieval‑Augmented Generation (RAG) solutions using structured and unstructured data
Develop and orchestrate multi‑agent workflows using modern frameworks and orchestration logic
Create and maintain backend APIs using Python frameworks such as FastAPI or Flask
Integrate enterprise platforms and external APIs into scalable AI solutions
Build data pipelines for ingestion, transformation, and embedding workflows
Implement and manage vector databases, ensuring performance and reliability
Establish evaluation frameworks to assess LLM output quality and relevance
Implement observability practices including tracing, logging, and monitoring
Apply software engineering best practices including modular code design, testing, documentation, and CI/CD pipelines

What we offer

Opportunities to work on cutting‑edge, enterprise‑scale AI systems
Exposure to complex, real‑world use cases with measurable business impact
A collaborative environment that supports continuous learning and growth
Competitive salary and access to Vodafone’s global career development ecosystem

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

AI Research Engineer, VLLM (vision large language models) - Generative AI

Meta is seeking a Research Engineer to join our Llama Large Language Model (LLM)...

Location

United States , Menlo Park

Salary:

217000.00 USD / Year ▼

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

Partner Engineer, Generative AI

Meta is seeking a Partner Engineer to join Meta’s AI Partner Engineering team, a...

Location

United States , Menlo Park

Salary:

149000.00 - 210000.00 USD / Year

Select Country

Applied AI Engineer – Generative AI

Job Description

Job Responsibility

Requirements

What we offer

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