Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor’s or Master’s Degree in Computer Science or related fields

Experience Requirements:

• 7+ years of experience building production ML / AI systems

• Strong Python engineer

• Proven experience working with unstructured data and images at scale

• Hands-on experience with agent patterns

• Experience deploying AI systems on AWS, GCP, or Azure

Other Requirements:

• Experience in NLP solutions preferred

• Experience in parsing pdf and text documents preferred

• Comfortable working in a micro services environment

Responsibilities:

• Analyze product requirements and come up with data science solutions

• Build deep learning NLP model(s)

• Write production quality python code for model development and inference

• Build and ship AI agent–driven systems

• Design agentic workflows using LLMs, tools, retrieval, and memory

Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor’s or Master’s Degree in Computer Science or related fields

Experience Requirements:

• 7+ years of experience building production ML / AI systems

• Strong Python engineer

• Proven experience working with unstructured data and images at scale

• Hands-on experience with agent patterns

• Experience deploying AI systems on AWS, GCP, or Azure

Other Requirements:

• Experience in NLP solutions preferred

• Experience in parsing pdf and text documents preferred

• Comfortable working in a micro services environment

Responsibilities:

• Analyze product requirements and come up with data science solutions

• Build deep learning NLP model(s)

• Write production quality python code for model development and inference

• Build and ship AI agent–driven systems

• Design agentic workflows using LLMs, tools, retrieval, and memory

Benefits:

• Medical insurance

Education Requirements:

• Bachelor's or Master's degree in Computer Science or a related technical field

Experience Requirements:

• 4+ years of professional software engineering or data engineering experience

• Expert proficiency in Python

• Deep, hands-on experience with the modern data stack

Other Requirements:

• Experience in a Forward Deployed, Solutions Architect, or Customer-Focused Engineering role for a B2B SaaS product

• Familiarity with Data Governance, Data Quality, and Data Observability principles

• Strong communication skills

Responsibilities:

• Lead the technical implementation, integration, and optimization of Altimate AI's platform

• Serve as the primary technical point of contact for key accounts

• Develop custom scripts, integrations, and tools using Python

• Troubleshoot, diagnose, and resolve complex technical issues

• Contribute to the core product by identifying common integration patterns

Benefits:

• Competitive salary and equity

• Access to cutting-edge AI infrastructure and resources

• Team offsite (US)

• Learning budget for AI courses, books, and resources

• Dynamic and intellectually stimulating work environment

Experience Requirements:

• 5+ years of hands-on ML/AI experience

• At least 1 year of hands-on experience in GenAI/LLM projects

• Track record of successfully deploying ML/AI systems in production

• Experience working with enterprise customers

Other Requirements:

• Expertise in semantic search and embedding models

• Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems

• Advanced model fine-tuning techniques

Responsibilities:

• Design and implement sophisticated multi-agent systems

• Build and optimize retrieval-augmented generation pipelines

• Implement advanced techniques (LoRA, Prompt Tuning) to adapt off-the-shelf models

• Develop and optimize cloud-native architectures (AWS, Kubernetes)

• Implement robust security measures for LLM applications

Benefits:

• Competitive salary and equity

• Access to cutting-edge AI infrastructure and resources

• Team offsite

• Learning budget for AI courses, books, and computing resources

• Dynamic and intellectually stimulating work environment

Experience Requirements:

• 7+ years of hands-on ML/AI experience

• At least 1 year of hands-on experience in GenAI/LLM projects

• Track record of successfully deploying ML/AI systems in production

• Experience working with enterprise customers

Other Requirements:

• Experience with vector databases and RAG pipelines

• Experience with observability and monitoring of LLM applications

• Expertise in semantic search and embedding models

Responsibilities:

• Design and implement sophisticated multi-agent systems

• Build and optimize retrieval-augmented generation pipelines

• Implement advanced techniques (LoRA, Prompt Tuning) to adapt models

• Develop and optimize cloud-native architectures

• Implement robust security measures for LLM applications

Benefits:

• Competitive salary, equity

• Professional development opportunities

• Dynamic and intellectually stimulating work environment

• Opportunities to shape the direction of the company

Experience Requirements:

• 8+ years of experience in developing and implementing machine learning algorithms

• Advanced proficiency in Python (Scikit-learn, TensorFlow, PyTorch)

• Experience with advanced text mining methods

• Experience with Natural Language Processing (NLP)

• Experience with Large Language Models (LLMs) like GPT-3

Other Requirements:

• Practical experience with cloud services (AWS, Azure, GCP)

• Expertise in deep learning for NLP with Transformers

• Proficiency in ML experimentation and A/B testing

Responsibilities:

• Spearhead the creation and finetuning of sophisticated machine learning models

• Contribute to the seamless integration of Large Language Models

• Employ machine learning techniques to analyze vast datasets

• Implement algorithms to effectively cluster vast quantities of code

Benefits:

• Competitive salary and equity

• Professional development opportunities

• Dynamic and intellectually stimulating work environment

• Opportunities to shape the direction of the company

Experience Requirements:

• 3+ years of experience building Python-based web application backends

• 5+ years of experience designing and developing scalable back-end systems

• Strong proficiency in JavaScript/TypeScript and React

• Hands-on expertise in front-end tooling and libraries

Other Requirements:

• Working knowledge of static code analysis of SQL

• Experience developing and extending VSCode extensions

• Familiarity with AI and machine learning concepts

• Experience with cloud platforms and containerization

Responsibilities:

• Lead backend infrastructure development for LLM architectures

• Build and enhance intuitive interfaces in React

• Develop and maintain VSCode extension

• Design and develop large-scale graph-based data structures

Experience Requirements:

• 3+ years of experience in DevOps

Other Requirements:

• Deep understanding of containerization technologies like Docker and Kubernetes

• Proficiency in infrastructure automation with tools like Terraform

• Experience with cloud platforms

• Strong scripting skills in Python and Bash

• Familiarity with ML/AI deployment practices

Responsibilities:

• Architecting and maintaining scalable, containerized environments for AI model deployment

• Implementing and managing CI/CD pipelines

• Automating infrastructure provisioning and configuration with IaC tools

• Optimizing system performance and crafting monitoring solutions

• Ensuring high availability, fault tolerance, and disaster recovery

Education Requirements:

• Postgraduate research in Machine Learning or related fields

Experience Requirements:

• 3+ years of work experience

Other Requirements:

• Comprehensive knowledge of modern deep learning architectures

• Deep understanding of hardware, instruction sets and distributed systems architectures

• Experience with ONNX, TorchScript, quantization, and sparsification

• Proficiency in cloud infrastructure management using Terraform and Kubernetes

Responsibilities:

• Optimize model deployment, scaling, and runtime performance

• Implement MLOps best practices including experiment tracking

• Work with distributed training tools and CUDA-level optimization

• Apply techniques such as micro-batching, caching, and KV-caching

Experience Requirements:

• Proven experience as a Front-end Developer

Other Requirements:

• Strong understanding of HTML, CSS, JavaScript, and modern frameworks

• Experience with responsive and adaptive design

• Familiarity with SEO best practices

• Knowledge of performance optimization techniques

• Experience with version control systems and CI/CD pipelines

Responsibilities:

• Develop and maintain user-facing features

• Collaborate with designers to translate mockups into interactive experiences

• Ensure the technical feasibility of UI/UX designs

• Optimize applications for maximum speed and scalability

• Implement best practices in SEO and accessibility

Experience Requirements:

• 3+ years of experience in ML research

Other Requirements:

• Expertise in domains like Reinforcement Learning, Simulation, Computer Vision, and NLP

• Deep knowledge of modern machine learning theory and loss function engineering

• Proficiency in cloud infrastructure management using Terraform and Kubernetes

• Familiarity with PyTorch, Hugging Face, and experiment tracking platforms

Responsibilities:

• Lead the development and fine-tuning of advanced ML models

• Design and implement effective HPO and cross-validation strategies

• Choose loss functions and optimizers tailored for specific problem sets

• Implement and monitor experiment tracking using tools like MLFlow or W&B

• Develop and optimize training datasets using Hugging Face and PyTorch

Experience Requirements:

• Experience working in tech or being tech savvy

Other Requirements:

• Nice, hard working, smart, love people, and courageous

• Ecommerce CEO contacts (bonus)

Responsibilities:

• Helping bring on board new enterprise customers

• Acting as a relationship manager and connection into the technical team

• Calming partners down and helping them through challenges

• Winning business and solving problems

Benefits:

• Free all you can eat pickles

• Growth opportunities

• Working with a cutting edge AI project

• Working with nice, hard working, smart people

• A salary

Other Requirements:

• Comfortable with numbers, P&L, and basic accounting

• Understanding of how to increase revenue and reduce costs

• Knowledge of legal matters or contracts (bonus)

Responsibilities:

• General finance-related tasks and accounting

• Managing P&L and financial calculations

• Developing strategies to improve profitability

• Reviewing legal contracts (if applicable)

Other Requirements:

• LinkedIn Profile

• Resume

• Cover letter

Benefits:

• Medical

• Dental

• Vision

• Life Insurance

• Disability Insurance

Education Requirements:

• AA/BS in Automotive Technology or Business Management preferred

Experience Requirements:

• Minimum 10 years varied automotive service experience

• Experience managing a team of technicians

• Verifiable track record in Customer Service

• Valid driver’s license with no suspensions

Other Requirements:

• Ability to travel on an as-needed basis

• Willingness to complete CPR training

• Advanced ability to use Microsoft Office

Responsibilities:

• Manage and develop Service Team members

• Performance Management of employees

• Select, train, and develop staff

• Address client concerns professionally

• Delegate and direct service tasks

Education Requirements:

• Bachelor’s degree in electrical engineering or related

Experience Requirements:

• 5 - 7 years building large-scale data/ML systems

• Production experience with Python and Java/Scala/Go

• MLOps at scale experience

• Experience with AWS, Docker, Kubernetes

• Practical ML knowledge (training, evaluation)

Other Requirements:

• Vendor-agnostic thinker

• Systems thinking mindset

• Obsess over developer experience

Responsibilities:

• Build and run LLM control plane/gateway

• Ship unified API and SDKs

• Enforce safety and privacy by default

• Own the agent runtime and tool registry

• Evolve domain graph and entity resolution

Education Requirements:

• Bachelor’s/master’s in computer science or related

Experience Requirements:

• 5+ years of experience in DevOps or SRE roles

• Experience with Kubernetes and Terraform

• Experience with Jenkins, GitHub Actions, AWS

• Expertise in automation and incident response

Other Requirements:

• Strong communication skills

• Ability to manage stakeholders

Responsibilities:

• Own delivery of CI/CD pipelines

• Collaborate with application teams

• Establish and track key metrics (KPIs)

• Ensure compliance and security standards

• Manage resource planning and hiring

Benefits:

• Equity: 0.5%–1%

Experience Requirements:

• 6+ years of experience

• 5+ years total experience

• 3+ years in Django/FastAPI/Celery

Other Requirements:

• US citizen/visa only

• Strong experience with Django, FastAPI, Celery

• Solid AWS skills (EC2, S3, Lambda, ECS, etc.)

• Hands-on experience with LLM/agentic systems and workflow orchestration

• Strong debugging, optimization, and system design skills

Responsibilities:

• Build the Creative OS powering winning ads at scale

• Design & scale high-performance backend systems

• Build data pipelines, async jobs, and distributed systems

• Own major product surfaces end-to-end

Benefits:

• Equity: 0.5%–1%

Experience Requirements:

• 6+ years of experience

• 5+ years total experience

• 3+ years in React/Next.js

Other Requirements:

• US citizen/visa only

• Strong experience with React, Next.js, TypeScript

• Product/design sensibility (Figma to polished UI)

• Ownership mindset — shipping fast, debugging across stack

• Experience integrating LLM/agentic workflows into UI

Responsibilities:

• Build the Creative OS powering winning ads at scale

• Own major product surfaces end-to-end

• Build complex dashboards and data-heavy UIs

• Shipping fast, debugging across stack