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Senior Product Engineer
Generate consistent 2D and 3D annotations for robotics and autonomous vehicles with ML-powered multi-sensor labeling tools and seamless framework integrations.
Benefits:
Competitive compensation
Stock options
Work from home
Flexible working hours
Flexible PTO
Experience Requirements:
Strong technical skills in TypeScript and modern frontend frameworks (Vue.js or React)
Experience with or interest in 3D graphics (Three.js/WebGL/WebGPU)
Senior engineering experience making others better
Other Requirements:
Ideally based in Belgium, or located in a timezone between GMT-1 and GMT+2
Comfortable working directly with customers to understand their needs
Write code that others want to read and maintain
Responsibilities:
Build visualization and annotation tools involving complex technical challenges
Migrating 3D rendering pipeline from WebGL to WebGPU
Splitting up massive point clouds into smaller tiles served dynamically
Implementing multi-sensor annotation features across frames
Shipping issue anchoring for precise problem pinpointing
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Mid-Level Backend Developer
Automate real estate photo editing with AI-powered HDR merging, sky replacement, and window pulls to deliver professional property images at scale in minutes.
Benefits:
Small, focused team
Direct impact on product
Modern AI-first development practices
Remote-friendly
Experience Requirements:
3+ years of backend development experience
Proficiency in Python
AI-assisted coding proficiency (Cursor, Claude Code)
Experience with AWS services (S3, Lambda)
Docker and CI/CD pipelines
Other Requirements:
Strong debugging skills
Exposure to image processing or GPU workloads
Experience with billing/subscription integrations
Familiarity with Sentry or observability platforms
Responsibilities:
Building and maintaining Python APIs
Developing admin tooling and integrations
Optimising GPU pipeline performance
Improving observability with logging and tracing
Working with image processing workflows
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Senior Software Engineer
Transform enterprise contracts into strategic data sources using Agentic AI to automate discovery, classify obligations, and accelerate legal reviews at scale.
Experience Requirements:
5-7yrs
Other Requirements:
Platform team
No. of Openings : 1
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Sr. DevSecOps Engineer - Onsite (MacDill AFB)
Automate mission-critical operations with secure agent orchestration, providing government-grade search, analysis, and workflow automation for high-stakes teams.
Benefits:
Competitive compensation and benefits packages
Professional growth and development
Education Requirements:
BS degree or higher in Computer Science, Engineering, or related fields
Experience Requirements:
4+ years of experience as a DevOps or DevSecOps Engineer
2+ years of experience in US Government classified networks
Experience with containerization (Docker, Kubernetes, Helm)
Experience with GitOps, Terraform, and cloud environments (AWS, Azure, etc.)
Other Requirements:
Active US DoW or Intelligence TS/SCI clearance
CompTIA Security+ Certification
MUST be on-site at MacDill AFB
Eligible to work in the US without sponsorship
Responsibilities:
Deploy the Legion Intelligence product in US government compute environments
Develop automation scripts for provisioning and monitoring
Ensure high availability and disaster recovery
Integrate with external authentication and mission data systems
Prepare packages for ATO and CTF security requirements
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Sr. Applied Machine Learning Engineer - Search
Automate mission-critical operations with secure agent orchestration, providing government-grade search, analysis, and workflow automation for high-stakes teams.
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Machine Learning, NLP
Experience Requirements:
Minimum 5+ years of experience in applied machine learning
Proven experience in Generative AI (LLMs, RAG, Agentic AI)
Strong proficiency with AI/ML/NLP techniques (Huggingface, Scikit-learn, etc.)
Other Requirements:
US citizens or GreenCard holders
Responsibilities:
Lead development of machine learning models and data-driven algorithms
Collaborate with product and platform teams end-to-end
Communicate modeling decisions and tradeoffs
Build and maintain enterprise products
Support production systems and debug distributed systems
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Engineering Manager - Platform
Automate mission-critical operations with secure agent orchestration, providing government-grade search, analysis, and workflow automation for high-stakes teams.
Experience Requirements:
2-3+ years of experience hiring and leading teams as an engineering manager
10+ years of experience as a senior individual contributor
Experience in Rust
Hands-on experience with cloud infrastructure and Kubernetes
Experience supporting AI/ML platforms
Other Requirements:
Attend onsite meetings 2-3 days a month
Must be eligible to work in the US without sponsorship
Responsibilities:
Own the design, reliability, scalability, and security of platform infrastructure
Implement best practices around identity and access controls
Establish patterns for service design and deployment
Own system observability
Set technical direction for infrastructure components written in Rust
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Full Stack Engineer
Automate B2B supply chains with AI-driven demand prediction and autonomous dispatching to reduce spending by 40% for buyers, suppliers, and logistics providers.
Benefits:
Competitive compensation package
Equity
Paid Time Off and Holidays
Health, Dental and Vision Insurance
401(k) retirement plan with company match
Experience Requirements:
3+ years of professional software engineering experience delivering production systems at scale
Strong background in component‑driven front‑end engineering (Angular, Vue, React, or Svelte)
Fluency with SQL schema design and data modeling for transactional & analytical workloads
Other Requirements:
Demonstrated ability to leverage LLMs/AI agents to boost velocity and solve novel problems
Superior product reasoning skills
Exceptional written & verbal communication
Experience stabilizing and scaling large code bases
Responsibilities:
Design, build, and operate services and UIs used daily by shippers, carriers, and drivers
Embed AI/LLMs to automate decision‑making and super‑charge developer productivity
Stabilize back end services
Own Problems end to end
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Backend Engineeer
Automate B2B supply chains with AI-driven demand prediction and autonomous dispatching to reduce spending by 40% for buyers, suppliers, and logistics providers.
Benefits:
Competitive compensation package
Equity
Paid Time Off and Holidays
Health, Dental and Vision Insurance
401(k) retirement plan with company match
Experience Requirements:
3+ years of professional software engineering experience delivering production systems at scale
Strong background in product driven backend development
Deep understanding of what makes systems performant, scalable, and maintainable
Fluency with SQL schema design and data modeling for transactional & analytical workloads
Other Requirements:
Demonstrated ability to leverage LLMs/AI agents to boost velocity and solve novel problems
Superior product reasoning skills
Exceptional written & verbal communication
Startup experience
Experience stabilizing and scaling large code bases
Responsibilities:
Design, build, and operate services used daily by shippers, carriers, and drivers
Automate developer-dependent tasks to accelerate internal and customer automation efforts
Embed AI/LLMs to automate decision‑making and super‑charge developer productivity
Stabilize backend services
Own Problems end to end
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AI Engineer
Automate B2B supply chains with AI-driven demand prediction and autonomous dispatching to reduce spending by 40% for buyers, suppliers, and logistics providers.
Benefits:
Competitive compensation package
Equity
Paid Time Off and Holidays
Health, Dental and Vision Insurance
401(k) retirement plan with company match
Education Requirements:
Advanced degree (MS/PhD preferred) in a quantitative field such as Computer Science, Applied Math, or Engineering
Experience Requirements:
Experience with ML frameworks such as TensorFlow, PyTorch, or Keras
Solid background in algorithms, optimization, neural networks, and reinforcement learning
Proven track record of independently delivering complex engineering and ML projects
Familiarity with path and function optimization methods including linear programming
Other Requirements:
10× velocity
First-principles thinking
Strong fundamentals
Grit to solve real-world problems where data is imperfect
Responsibilities:
Fine-tune large language models (LLMs) including LLaMA, Mistral, and Falcon
Design and deploy AI agents capable of task execution and decision-making leveraging retrieval-augmented generation (RAG)
Integrate embedding databases (ChromaDB, FAISS) and graph-based retrieval (G-RAG) using Neo4j
Optimize and deploy models using vLLM, TensorRT, and DeepSpeed for low-latency, scalable inference
Solve complex problems using mechanistic and statistical approaches
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Full-Stack Developer
Improve model performance and cultural accuracy through an orchestrated platform that combines AI automation with insights from over 100 million contributors.
Benefits:
Flexible working hours to accommodate your university schedule
Valuable hands-on experience in the field of sales automation
Opportunity to work with a dynamic and collaborative team
Experience integrating features cross teams and leading it to production
Experience Requirements:
4+ years of experience as a full-stack software developer
3+ years of experience with Python
2+ years experience with JavaScript, React
Django, Flask or similar frameworks
Experience with PostgreSQL, knowledge of indexes and query optimization
Other Requirements:
Comfortable working in Mac/Linux environment
Experience with Kubernetes
Experience Working with Docker
Experience with cloud AWS or similar
Strong written and verbal communication skills in English and Hebrew
Responsibilities:
Software designs
Development
Cross teams integration
Deployment of features
Work closely with project managers, product owners, and other stakeholders
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QA Lead
Monetize first-party data and scale retail media networks in weeks with an AI-powered operating system designed for omnichannel retailers and marketplaces.
Benefits:
Startup Energy, Enterprise Scale: Fast-paced innovation with global ambition
Revolutionize Retail Marketing: Be at the forefront of AI-powered solutions
Meaningful Contribution: Directly impacts major brands' success
No Red Tape: Autonomy and empowerment to drive results
Growth & Fun: Continuous learning in a vibrant, collaborative culture
Experience Requirements:
5-8 years of experience in Quality Assurance
At least 2 years in a lead/managerial role
Other Requirements:
Strong expertise in test automation frameworks (e.g., Selenium, Cypress, JUnit, PyTest)
Hands-on experience with API testing tools (e.g., Postman, RestAssured)
Strong knowledge of microservices testing, performance testing, and security testing
Familiarity with monitoring/logging tools like Prometheus, Kibana, Nagios
Responsibilities:
Build a team of QA engineers and provide technical guidance
Define and drive the QA strategy, roadmap, and best practices
Collaborate with Product Managers and Developers to align quality processes
Establish and maintain test plans, test cases, and test automation frameworks
Drive automation for regression, performance, and integration testing
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Tech Support Intern
Monetize first-party data and scale retail media networks in weeks with an AI-powered operating system designed for omnichannel retailers and marketplaces.
Benefits:
Startup Energy, Enterprise Scale: Fast-paced innovation with global ambition
Revolutionize Retail Marketing: Be at the forefront of AI-powered solutions
Meaningful Contribution: Directly impacts major brands' success
No Red Tape: Autonomy and empowerment to drive results
Growth & Fun: Continuous learning in a vibrant, collaborative culture
Experience Requirements:
0–1 years of experience (freshers welcome)
Other Requirements:
A strong problem-solving mindset and eagerness to debug and learn
Basic knowledge of Python
Familiarity with Linux commands, APIs, and basic networking concepts
Ability to explain technical issues clearly and calmly
Good written and verbal communication skills
Responsibilities:
Provide L1 technical support via tickets, email, and chat
Perform basic debugging using logs, dashboards, and internal tools
Assist in writing or modifying Python scripts for validations
Monitor platform health and report anomalies proactively
Document issues, learnings, and resolutions in the knowledge base
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DevOps Engineer
Monetize first-party data and scale retail media networks in weeks with an AI-powered operating system designed for omnichannel retailers and marketplaces.
Benefits:
Startup Energy, Enterprise Scale: Fast-paced innovation with global ambition
Revolutionize Retail Marketing: Be at the forefront of AI-powered solutions
Meaningful Contribution: Directly impacts major brands' success
No Red Tape: Autonomy and empowerment to drive results
Growth & Fun: Continuous learning in a vibrant, collaborative culture
Experience Requirements:
3–7 years of experience managing large-scale, high-availability systems in production
Other Requirements:
Strong expertise in Kubernetes administration
Hands-on experience with IaC tools like Terraform or CloudFormation
Proficiency in designing and maintaining CI/CD pipelines
Solid knowledge of cloud platforms (AWS, GCP, or Azure)
Proficient in Linux administration, scripting (Bash, Python), and debugging
Responsibilities:
Deploy, manage, and scale Kubernetes clusters for high throughput and low latency
Implement and maintain Infrastructure as Code (IaC)
Build and optimize CI/CD pipelines to enable seamless, zero-downtime deployments
Ensure high availability (99.99%) for mission-critical, high QPS applications
Support and maintain multi-region deployments to achieve geo-redundant infrastructure
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VoIP Engineer contract in Columbus, OH - Make $2,925 - $3,086/week
Automate regulatory research and quality management with an AI engine that reduces manual compliance reviews by 85% while identifying critical SOP gaps in hours.
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Software Engineer - Expert & SME Level
Optimize governance, risk, and compliance processes using AI-driven predictive analytics and real-time monitoring tailored for global financial institutions.
Education Requirements:
Bachelor's Degree required
Master’s Degree preferred
Experience Requirements:
Minimum of 11 years' relevant work experience (9 years with Master's)
Strong Engineering experience with Microsoft Windows platform/services: MECM
Experience with Server, Workstation, and Software upgrades using MECM
Windows 10, DNS, DFS, and DHCP experience
Active Directory and administration of Group Policy (GPOs)
Other Requirements:
Active TS/SCI + Full Scope Poly U.S. Government Security is required
Microsoft AZURE certifications
Ability to lift and/or move up to 20 pounds
Responsibilities:
Support Government Partner mission
Implement SecDevOps on iterative development projects
Cloud design, implementation, and configuration using Azure
Automate through PowerShell script
Participate in Agile development
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Software Engineer w/ Cloud - TS/SCI w/poly
Optimize governance, risk, and compliance processes using AI-driven predictive analytics and real-time monitoring tailored for global financial institutions.
Benefits:
Fully paid medical/dental/vision premiums
Generous PTO
11 Paid Holidays
6% 401K contribution
Annual training and tuition reimbursement
Experience Requirements:
Experience leveraging background in programming and Software tools
Python
Cloud services (Lambda, S3, Batch, EC2, EventBridge, SQS/SNS, IAM, DynamoDB, containers)
AWS CDK
Building and maintaining secure web applications on JWICS C2S network
Other Requirements:
Active TS/SCI w/ FS Poly required
Experience in System Administration preferred
Linux shell scripting experience preferred
Responsibilities:
Rapidly develop and operate new techniques for data collection and transformation
Co-locate with end-users to solve collection needs
Prioritize work based on mission need
Document and communicate technical mission requirements
Work with other technical teams across multiple organizational boundaries
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Platform Engineer
Optimize governance, risk, and compliance processes using AI-driven predictive analytics and real-time monitoring tailored for global financial institutions.
Benefits:
Paid time off
Healthcare benefits
401k including an employer match
Education reimbursement
Discount perks
Education Requirements:
Bachelor’s degree (BA/BS) in Computer Science, Information Systems, Engineering, or a related field
Experience Requirements:
7+ years of relevant experience
Proven track record delivering large scale, complex system integrations
Strong technical understanding of decoupled architectures and API-first methodologies
Hands-on experience working across multiple major enterprise platforms like ServiceNow or Salesforce
Experience building and maintaining platform-to-platform integrations
Other Requirements:
Active or ability to obtain and maintain Security Clearance is highly preferred
Exceptional communication skills
Security-minded
Responsibilities:
Design and prototype innovative solutions translating challenges into proofs of value
Architect and maintain high-performance API Gateways and Service Meshes
Drive Infrastructure as Code (IaC) maturity using tools like Terraform or Ansible
Implement comprehensive observability and distributed tracing
Integrate and extend major enterprise platforms
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Senior Software Engineer - Voice AI
Automate trucking logistics by letting AI handle broker calls and rate negotiations to secure high-paying freight without manual load board searching.
Benefits:
Top tier cash and equity compensation
Competitive medical, dental, and vision benefits
Fully covered lunches and dinners
Opportunity to learn quickly, grow fast, and be rewarded
Experience Requirements:
At least 4 years of professional full-time software development
At least one 2 years or more at one company
Professional experience owning end-to-end feature development
Other Requirements:
Comfort working in TypeScript
Empathy for your users and your colleagues
Healthy appreciation for hard problems
Responsibilities:
Design and scale real-time voice AI systems
Own end-to-end feature development
Make product and technical decisions
Ship new work every day
Learn from others and teach those around you
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Senior Software Engineer - Freight Marketplace
Automate trucking logistics by letting AI handle broker calls and rate negotiations to secure high-paying freight without manual load board searching.
Benefits:
Top tier cash and equity compensation
Competitive medical, dental, and vision benefits
Fully covered lunches and dinners
Opportunity to learn quickly, grow fast, and be rewarded
Experience Requirements:
At least 4 years of professional full-time software development
At least one 2 years or more at one company
Professional experience owning end-to-end feature development
Other Requirements:
Comfort working in TypeScript
Empathy for your users and your colleagues
Healthy appreciation for hard problems
Responsibilities:
Build the matching engine and marketplace infrastructure
Own end-to-end feature development
Make product and technical decisions
Ship new work every day
Learn from others and teach those around you
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Senior Software Engineer - Forward Deployed
Automate trucking logistics by letting AI handle broker calls and rate negotiations to secure high-paying freight without manual load board searching.
Benefits:
Top-tier cash + equity
Medical, dental, and vision coverage
Fully covered lunches and dinners
High ownership environment with rapid growth
Opportunity to shape the future of AI in freight
Experience Requirements:
3–6+ years of professional software engineering experience
Clear ownership of complex, production-critical systems
Hands-on experience with AI-driven systems
Other Requirements:
Strong command of TypeScript, Node.js, and REST API design
Based in Chicago with willingness to travel 20–30%
Exceptional communication and judgment
Responsibilities:
Own customer deployments end-to-end
Work directly with operators to understand workflows
Build production features and integrations
Diagnose and resolve issues in the field
Travel 20–30% to customer sites nationwide
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