Jobs Python

AI-First Developer — Psychable

Location: Remote (US, Eastern Europe, China/Taiwan, or Latin America preferred; Miami is a plus) 

Reports to: Founder & CEO 

Type: Contract-to-hire / Fractional (Full-time path available) 

About Psychable

Psychable is the leading online community connecting individuals with professional, trusted psychedelic therapists, clinics, and wellness practitioners. We operate a content-rich WordPress platform with a practitioner directory, tiered membership program, integration courses, and a growing ecosystem of healing professionals, serving hundreds of thousands of monthly visitors in one of the fastest-evolving sectors in health and wellness.

We are founder-led, mission-driven, and independent. We are at a critical inflection point: the vision is clear, the audience is growing, and the infrastructure needs to match the ambition.
 

Why This Role Exists

Psychable has built meaningful traction on a WordPress foundation with a small, scrappy team. But we've reached the ceiling of what manual processes and off-the-shelf plugins can support. We need someone who can look at what we've built: the directory, the membership tiers, the content engine, the data we're sitting on, the practitioner relationships, and architect the systems that turn all of it into a scalable, revenue-generating machine.

This is not a "maintain the website" role. This is a build-the-engine role.

We need someone who thinks AI-first, not as a buzzword, but as an operational philosophy. Someone who reaches for automation before manual process, who sees a spreadsheet of thousands retreat centers and immediately thinks about enrichment pipelines, who looks at our practitioner onboarding flow and sees where an AI agent could reduce it from 12 steps to 3.

What You'll Build & Own

Platform & Infrastructure

• Evolve our WordPress ecosystem, optimize, extend, or architect the path beyond it as needed
• Build and maintain the practitioner directory with intelligent match/search, filtering, booking integrations, and lead routing that actually works at the membership tier level 
• Implement payment systems, subscription management, and membership automation that reduce manual intervention to near-zero
• Ensure site performance, security, uptime, and SEO technical health across the platform

AI-Powered Automation

• Design and deploy AI agents and workflows that automate practitioner onboarding, lead distribution, content publishing, email/SMS campaign triggers, and data enrichment
• Build internal tools powered by LLMs (Claude, GPT, or equivalent) for content generation, data processing, and operational support
• Create automated pipelines for scraping, enriching, and activating practitioner and retreat center databases from public directories
• Implement AI-driven personalization, matching individuals with the right practitioners based on modality, location, availability, and fit

Data & Growth Systems

• Build the data layer we're missing: CRM integrations, analytics dashboards, membership metrics, practitioner engagement tracking, and revenue attribution
• Design outreach and enrichment systems that turn raw directory data into actionable sales and partnership pipelines
• Connect the dots between our content (SEO), our directory (discovery), our memberships (revenue), and our community (retention) with measurable, instrumented flows

Compliance & Trust

• All messaging systems (email, SMS) must be TCPA/10DLC compliant  
• Health content touches YMYL territory; any AI-generated or AI-assisted content pipelines must respect these standards
• Data privacy, practitioner confidentiality, and platform security are table stakes

Who You Are

You build with AI as a first principle, not an afterthought. You use Claude Code, Cursor, Copilot, or similar tools daily, not because someone told you to, but because you can't imagine working without them. You've shipped real things with AI agents, not just experimented.

You're a full-stack generalist who leans toward backend and systems. You can wire up a WordPress site, build an API, write a Python script to enrich thousands of records, deploy a Next.js frontend, and configure a CI/CD pipeline, all in the same week. You don't need a team of five to get something live. You lean it, do it yourself and get it done, even with AI agents.

You think in revenue, not just in code. When you look at a practitioner directory with tiered memberships, you see the funnel. You understand that the booking integration isn't a feature request, it's how members justify their $600/year. You ask "what does this unlock for the business?" before "what framework should I use?"

You're comfortable in ambiguity. We're a very resourceful team. Requirements won't always be spec'd out. You'll sometimes get a voice note and a Notion page and need to turn it into a working system. That excites you, not frustrates you.

You care about the mission. You don't need to be a psychedelic practitioner, but you understand that this work matters, that connecting people with the right healer at the right time can change a life. You approach the platform with that gravity.

Technical Environment

Current stack:

• WordPress  
• PHP / MySQL 
• Google Sheets / Notion  
• GHL or similar  
• Slack 
• Various WordPress plugins for directory, membership, and payments

What we expect you to bring or introduce:

• Python for automation, scraping, data enrichment, and AI agent workflows
• Experience with LLM APIs (Anthropic Claude, OpenAI) and building production AI workflows, not just prompting, but chaining, function calling, RAG, and agent architectures
• Modern frontend (React/Next.js) if and when we evolve beyond WordPress for specific surfaces
• API design and integration (payment processors, booking systems, CRMs, third-party directories)
• CI/CD, version control, and deployment best practices
• Familiarity with SEO technical requirements (site speed, structured data, crawlability, Core Web Vitals)

Nice to Have

• Experience building or scaling a marketplace or directory platform
• Background in health, wellness, or regulated industries
• Familiarity with Clay, Apollo, or similar data enrichment tools
• WordPress plugin development or WP REST API experience
• Experience with HIPAA-adjacent data handling

How to Apply

Send us:

1. A brief video on why this role calls to you, we want to hear your voice, not a cover letter template
2. One or two examples of something you've built where AI was core to the solution (links, repos, or a short writeup)
3. Your rate or salary expectations and preferred engagement structure (fractional, contract-to-hire, full-time)

We are very intentional. If the fit is right, you'll know within a week.

We welcome applicants of all backgrounds and believe that diverse perspectives strengthen our community and our platform.

CodeSmart is seeking an experienced and proactive Senior Python Developer to join our growing engineering team. The ideal candidate has a deep understanding of Python, extensive experience building scalable web applications with Django, and a strong background in distributed systems using Celery and RabbitMQ. You will also be responsible for designing and integrating features powered by OpenAI and other LLM APIs, helping us build intelligent, AI-driven products.

As a Senior Python Developer, you will own core parts of the backend architecture, mentor other engineers, and work closely with product and cross-functional teams to deliver robust, high-quality solutions.
 

Responsibilities:

• Design, develop, and maintain backend services using Django framework and Fast API.
• Architect and optimize asynchronous task processing using Celery and RabbitMQ.
• Design and implement features that leverage OpenAI and other LLM APIs (e.g., content generation, assistants, search, classification, and summarization).
• Take ownership of technical solutions from design through deployment, monitoring, and iteration.
• Collaborate with product managers, designers, and other developers to define and implement new features.
• Write efficient, reusable, testable, and well-documented code.
• Participate in and lead code reviews, ensuring code quality, performance, and adherence to best practices.
• Design and optimize Postgres database schemas, queries, and migrations.
• Use Docker to containerize applications and support deployment workflows.
• Diagnose, troubleshoot, and resolve complex production issues.
• Mentor Middle and Junior developers, providing technical guidance and knowledge sharing.
• Stay current with industry trends, especially in LLMs, AI/ML tooling, and backend technologies, and bring relevant ideas into the team.
   

Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
• 6+ years of commercial experience in Python backend development.
• Strong hands-on experience with the Django framework.
• Proven production experience integrating and working with OpenAI and other LLM APIs (e.g., prompt design, handling context windows, managing costs and rate limits).
• Experience building AI-powered features or workflows on top of LLMs (chatbots, assistants, content generation, semantic search, etc.).
• Strong knowledge of Object-Oriented Programming, design patterns, and application architecture.
• Proficiency with Postgres SQL: schema design, indexing, query optimization.
• Practical experience with Docker for development and deployment.
• Strong debugging, performance optimization, and problem-solving skills.
• Experience with Git.
• Experience working in Agile environments Scrum/Kanban.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and CI/CD.
• Excellent communication skills and the ability to collaborate effectively in a distributed team.
• Experience building AI-powered features: content generation, interactive workflows, structured output parsing, prompt design
• Solid production experience with Celery + RabbitMQ (retries, task states, error handling, restart resilience)
• Strong knowledge of Docker & Docker Compose for development and deployment of multi-container applications

If you have real-world prompt examples from production projects (chatbots, interactive story generators, agents, RAG pipelines with multi-step reasoning), please highlight them in your cover letter or include GitHub links. This will significantly speed up the review process.
 

If you’re passionate about building scalable backend systems and excited to work at the intersection of Python and LLM-powered applications, we’d love to hear from you.

Remote  |  EU Time Zone (CET ±4 hours)  |  Full-Time

Competitive salary based on experience  |  Equity options available

About Amplifier AI

We’re building the next generation of surgical planning software for interventional radiology and cardiothoracic surgery. Our platform turns CT scans into interactive 3D models that help surgeons plan complex procedures—from endovascular aortic repair (EVAR) to transcatheter aortic valve implantation (TAVI) and beyond.

Our core library powers 17+ clinical analysis pipelines that perform automated anatomical segmentation, vessel centerline extraction, hemodynamic measurements, and risk stratification. Every algorithm we ship has a direct impact on patient outcomes.

We’re a small, focused team where your code goes from PR to operating-room screen in weeks, not quarters. If you want to work on technically challenging problems that genuinely matter, keep reading.

What You’ll Work On

This isn’t a generic backend role. Here’s what a typical month might look like:

• Extending our NNUnet-based segmentation pipelines (we run 15+ trained models across organs, vessels, bones, and tumors) and validating results against clinical ground truth

• Building automated measurement workflows—think aortic neck angulation, iliac tortuosity indices, or landing-zone diameter calculations that feed directly into surgical reports

• Developing new workspace modules: designing the data flow from raw DICOM volumes through preprocessing, AI inference, post-processing, and 3D scene generation

• Optimizing inference performance for GPU and CPU execution, including memory-aware scheduling and adaptive resolution strategies

• Working with SimpleITK, NumPy, and our in-house volume processing library to manipulate medical images at the voxel level—resampling, label morphology, island filtering, ROI extraction

• Collaborating directly with radiologists and surgeons to translate clinical requirements into algorithmic specifications

Our Tech Stack

• Language: Python 3.12+ (modern typing, dataclasses, async patterns)

• Medical Imaging: SimpleITK, NIfTI volumes, DICOM processing

• AI/ML: NNUnet framework, PyTorch, custom inference pipelines

• Infrastructure: Docker, NVIDIA GPU compute, CI/CD with automated testing

• 3D Visualization: Unity integration (you won’t write C#, but your Python outputs drive the 3D viewer)

• Tools: Git, Jira, Confluence, VS Code / PyCharm

What We’re Looking For

Must-haves:

• Strong Python fundamentals: you write clean, typed, well-structured code and understand performance trade-offs

• Experience with NumPy/SciPy for numerical computing—you’re comfortable thinking in arrays and transforms

• Familiarity with medical imaging concepts (DICOM, NIfTI, voxel spaces, coordinate systems) or strong willingness to learn quickly

• Understanding of machine learning inference pipelines, even if you’re not training models from scratch

• Ability to work independently in a remote-first environment with 4+ hours of overlap with CET business hours

Nice-to-haves:

• Experience with SimpleITK or ITK for image registration, segmentation, or morphological operations

• Background in NNUnet or similar medical segmentation frameworks

• Knowledge of 3D geometry: meshes, centerline extraction, spatial transforms

• Contributions to open-source scientific Python projects

• Domain experience in radiology, surgical planning, or health-tech

A Few Things to Know

To set expectations clearly, here’s what this role involves:

• The codebase is scientifically dense—you’ll work with Hounsfield units, anatomical coordinate systems, and clinical measurement standards. Curiosity about the domain is essential.

• We’re a startup. Processes are evolving, requirements shift, and you’ll sometimes need to figure things out from first principles rather than following established playbooks.

• This is primarily a backend/algorithmic role. If you’re looking for frontend or web development work, this isn’t the right fit.

• We care deeply about code quality—type hints, meaningful tests, clear documentation. We review each other’s work carefully.

Why Join Us

• Direct clinical impact: your code helps surgeons plan life-saving procedures more accurately

• Technically deep work at the intersection of AI, medical imaging, and 3D visualization

• Small team, big ownership: you’ll shape architecture decisions and see your ideas go to production

• Flexible remote setup with asynchronous communication and minimal meetings

• Competitive compensation with equity participation

How to Apply

Send us your CV along with a short note covering:

1. A brief description of the most technically challenging Python project you’ve worked on—what made it hard, and how you solved it.

2. Your experience (if any) with medical imaging, numerical computing, or ML inference—even if it’s from a different domain.

3. Your availability and time zone.

No cover letter template needed—just be direct. We review every application personally.

Project

US/Canada event tickets purchase platform with tickets, event, locations, performers aggregation via third-party API, booking, purchase, payments.

Requirements:
— 1 year of commercial experience with Python and REST Framework;

— 1 year of commercial experience with JavaScript, TypeScript, React, Next.js
— 1 year of commercial experience with HTML, CSS, Tailwind CSS
— Ability to communicate in English
— Ability to work with databases (not only through ORM)
— Understanding of REST principles
— The knowledge of basic HTTP principles
— Experience with git & github
— Knowledge of the agile & scrum the basics

Nice to Have:
— Skills in FastAPI, react-router-v7
— Advanced knowledge of PostgreSQL
— Experience with Celery, Redis
— Familiarity with MongoDB

CodeIT is a service product development company. We know how to transform business ideas into profitable IT products. We are looking for an experienced Python/AI Software Engineer to join our team.

Project description

The project is a hosting platform operated by an established data center company that is evolving toward a more cloud-oriented service model. The core infrastructure is already in production and serving real customers, with ongoing improvements and expansion of cloud capabilities. 

Some existing products (such as CDN and VPS) are already live and stable. CDN is currently in a maintenance phase, while VPS is operational and requires continuous improvements, scaling, and optimization. Most core technical decisions for these services have already been made, and the systems are functioning in production. 

At the same time, new cloud-oriented services are being actively designed and developed — including Application Vending Machine, Kubernetes-as-a-Service, App-as-a-Service, and other infrastructure automation solutions. These areas provide more architectural influence and room for technical ownership.
 

Requirements

• 4+ years of commercial experience with Python
• 2+ years of hands-on experience working with LLM APIs (OpenAI, Anthropic Claude, or equivalent)
• Solid understanding of prompt engineering - designing, testing, and iterating on prompts for production use cases
• Experience with model evaluation - assessing output quality, consistency, and fitness for business needs
• 2+ years of experience with Django+DRF
• 1+ years of experience building or maintaining integrations between systems via REST APIs
• Experience with at least one automation platform (n8n, Make/Integromat, or similar)
• Experience with MariaDB (mySQL), PostgreSQL or any other relational DB
• Basic DevOps background - Docker, service deployment, environment configuration
• Frontend experience (full-stack background)
• Ability to implement end-to-end solutions based on business requirements
• Experience decomposing business requirements into technical tasks
• Experience working as a sole contributor or in small teams with direct client reporting
• 2+ years of direct communication with English-speaking clients or stakeholders
• English level: Upper-Intermediate or higher

Would be a plus:

• Experience building or working with MCP (Model Context Protocol) servers
• Experience with AI agent frameworks (LangChain, LangGraph, AutoGen, or similar)
• Familiarity with ticketing systems via API (Jira, Zendesk, Freshdesk)
• Experience with EasyDCIM or other hosting/datacenter management platforms
• Experience writing technical documentation for integrations or AI workflows
• Understanding of datacenter or hosting infrastructure concepts

Responsibilities

• Maintain and extend the existing ticket MCP server
• Build and implement the EasyDCIM MCP server from scratch
• Design and deliver n8n automation workflows based on identified business scenarios
• Support the client on LLM prompt engineering, model selection, and output quality tuning
• Proactively identify and flag risks or blockers within the AI/MCP workstream
• Take full ownership of the AI/MCP workstream for the duration of the engagement
• Proactively improve system stability, performance, and reliability
• Deliver end-to-end features from requirement to production
• Write clean, efficient, and maintainable code
• Communicate daily with client stakeholders

Being a member of the CodeIT team means
 

• Career Path and growth opportunities (seniority level system, individual development plan, technical leads)
• Compensation of participation in conferences and workshops, invited experts
• Development of soft skills (people management and emotional intelligence training)
• Free access to the company account on Udemy educational platform
• Internal library
• Corporate English courses and communication with clients from English-speaking countries
• Experienced and supportive team members
• Paid time off (vacation, sick-leave, remote work)
• Legal support

About Us

We are a fast-growing group of companies operating in the iGaming and high-risk sectors. We work at the intersection of iGaming, crypto, and payment solutions, building scalable and high-impact products. We are активно expanding our project portfolio and entering new GEOs. For us, speed, flexibility, and continuous growth—both in our products and our team—are ключевые принципы.

We are currently looking for a strong Python Developer to join and strengthen our team!

What You’ll Be Doing

• Driving architectural decisions and setting the technical direction
• Designing and developing scalable, high-load Python services
• Participating in technical solution design: decomposition, estimation, risk analysis, and implementation approaches
• Ensuring development quality: code reviews, architecture reviews, and maintaining technical standards
• Evolving engineering practices within the team: testing, documentation, release processes
• Improving service stability and performance in collaboration with DevOps and QA
• Supporting and enhancing CI/CD processes
• Mentoring engineers: supporting growth, providing technical guidance, sharing knowledge
• Participating in hiring: candidate evaluation, interviews, and final recommendations
• Solving complex technical challenges and addressing systemic issues across projects

What We Expect From You

• 6+ years of commercial Python development experience
• A hands-on leadership mindset with active involvement in coding
• Strong expertise with web frameworks such as FastAPI and SQLAlchemy
• Experience designing and building scalable, high-load systems
• Hands-on experience with Docker and Kubernetes
• Experience with both relational and NoSQL databases
• Deep understanding of PostgreSQL, including MVCC, indexing, and locking mechanisms
• Experience with asynchronous programming and multithreading
• Ability to write clean, maintainable, and high-performance code
• Strong knowledge of architectural principles: Clean Architecture, Hexagonal Architecture, DDD, SOLID
• Ability to define and enforce technical standards within a team

What We Offer

• Fully remote work from anywhere in the world
• Flexible start of the workday and a convenient schedule
• Competitive salary pegged to USD
• All necessary equipment provided
• Sick days / days off and sick leave compensation from day one
• Paid vacation (20 working days)
• Valuable experience in one of the most skilled iGaming teams
• Learning and growth opportunities across all areas of the company
• Friendly communication culture, strong product, and transparent processes

What you will do

• Take full ownership of planning and delivering platform roadmap items
• Lead the backend engineers + QA engineers in the team, organize day-to-day work and ensure predictable delivery
• Plan work for the next quarter and contribute to high-level multi-quarter planning together with Director of Engineering
• Improve delivery accuracy, reduce delays, and manage risks early
• Design and develop scalable high-load backend solutions used across the company
• Optimize data flows, performance, and system reliability
• Drive modernization of legacy services, architecture improvements and technical debt reduction
• Collaborate with product owners, solution architects and other teams on priorities and alignment
• Ensure proper documentation, visibility and knowledge sharing inside the team

About you

• 7+ years of backend engineering experience including distributed systems design
• 3+ years in a role with technical leadership responsibilities (team leader, senior leading others, etc.)
• Experience with planning, estimation and delivering complex projects
• Strong understanding of performance optimization and scalability principles
• Confident in owning decisions with business impact
• Able to work under high delivery pressure and manage trade-offs

• Excellent communication skills in English (B2)

   

Success will look like:

• Quarterly plans are stable and delivered close to commitments
• Risk management is proactive, not reactive
• Architecture supports scale, performance and future product goals
• Team productivity and predictability improved over the previous year

Type of employment: directly to the client.

We are looking for a Python AI Developer to build and scale AI-powered solutions for real-world use cases. This is a hands-on role focused on developing agentic systems, RAG pipelines, and production-grade LLM integrations.

Part-time during the first month

Requirements

• 4+ years of development experience with Python
• Experience building real AI applications 
• Experience with LLM APIs (Claude, OpenAI, etc.)
• Understanding of RAG and AI workflows
• Experience with APIs and integrations
• Basics of prompt engineering
• Good communication skills
• Comfortable working in a fast-paced environment

Nice to have

• Experience with LLM frameworks (LangChain, LlamaIndex, etc.)
• Experience working with clients or enterprise systems

Responsibilities

• Build AI features using LLMs (Claude, etc.)
• Work with RAG pipelines
• Create AI agents / workflows
• Integrate AI into products via APIs
• Collaborate with team and clients

About us

Syndicode is a value-driven software development partner with a globally distributed team of engineers, designers, architects and IT managers. We are united by the mission to provide our clients with software products and services that perform, look, and work as designed. 

We believe that our people and culture make Syndicode’s success continuous. Our team is unified by shared principles like: Accountability, Involvement, Excellence, Visibility, Integrity, Innovation, Win-Win, Flexibility. Syndicoders are professionals who pursue self-improvement through continual learning, are eager to introduce improvements to work processes, and are able to analyze a variety of sources to make sound and timely decisions.

If it sounds like you, apply to our jobs and become a new Syndicoder!

 
About the project

Our team is building an internal tool for a major construction company to help their teams design and evaluate complex layouts while accounting for real-world constraints. The product combines robust engineering logic with an interactive 3D view in the browser, making it easier for users to explore design options and estimate key building parameters, including costs. In this role, you’ll work on the mathematical core of the system—refining existing models and developing new algorithms that make the application faster, smarter, and more accurate.

 

What you’ll be doing
 

• Experience: At least 3 years of professional experience in mathematical modeling, algorithm development, or optimization-focused software engineering.
• Mathematical Expertise: Strong foundation in areas such as numerical analysis, linear algebra, calculus, statistics, probability, optimization, and related mathematical disciplines.
• Python: Minimum of 2 years of experience, with expertise in object-oriented programming, data structures, algorithms, and performance optimization.
• Computational geometry for coordinating transformations, polygon operations, or spatial reasoning.
• Analytical Thinking: Strong problem-solving skills with the ability to break down complex challenges into actionable components.
• Attention to Detail: High level of accuracy and precision in developing and validating mathematical models and code.
• Communication: Ability to clearly explain complex mathematical and technical concepts to both technical and non-technical audiences.

• Education: Bachelor’s, Master’s, or Ph.D. in Mathematics, Computer Science, Engineering, or a related quantitative field.
  
  Nice to have
   

  • FastAPI (or similar frameworks): Experience building RESTful APIs and exposing mathematical models and algorithms as scalable web services.
  • AWS: Familiarity with cloud infrastructure services for deployment, scalability, and management of computational resources in production environments.
     
     

  What you'll be doing
   

• Mathematical Model Development: Design, develop, and implement mathematical models and algorithms to solve complex problems in engineering, data analysis, optimization, and related domains.
• Python Software Development: Translate mathematical models and algorithms into high-performance, reliable, and efficient Python code. Ensure clean architecture, solid coding practices, and optimal performance.
• Collaboration: Work closely with cross-functional teams—including developers and domain experts—to understand requirements, troubleshoot issues, and deliver integrated solutions.
• Testing and Validation: Perform rigorous testing and validation of mathematical models and their Python implementations to ensure accuracy, reliability, and efficiency.
• Documentation: Create clear, thorough documentation for models, algorithms, and code implementations.
   

What you’ll get at Syndicode
 

• Fully remote job
• Continuous feedback within teams and departments
• Top-notch team 
• Ability to participate in decision-making and bring new ideas
• Self-management: opportunity to manage your time and plan your activities
• Dynamic fast-growing environment: we react and adapt quickly to the world’s and market changes.

Job description

About DualEntry

Founded in 2024, DualEntry is one of the world’s fastest-growing AI startups.

At DualEntry, the future of finance is being written today. ERP is one of the largest fintech markets in the world ($220,000,000,000+). Yet, tens of thousands of companies are still using on-premise systems, and the industry has not seen new entrants in more than 30 years.

Our AI-native ERP lets accounting teams achieve more in less time. $5M-ARR businesses to NYSE-listed companies trust DualEntry to automate away manual data entry work with AI. We’re finally making the one-person finance team a reality and putting the pain of legacy ERPs from the 1990’s in the past.

We operate with urgency and ownership. We move fast.

Why This Role Matters Now

Since starting 18 months ago, we’ve raised $100,000,0000+ from world-class investors such as Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures and Google Ventures, as well as more than 20 angel investors who’ve built, scaled, and exited some of the most impactful companies of the last decade.

We got there by moving incredibly fast and hiring an exceptionally sharp, hard-working and deeply committed team from leading tech and accounting companies — Ramp, Meta, Microsoft, Lyft, PwC, Deloitte, J.P. Morgan, Bloomberg, Sage, Xero and Intuit. And some of us don't have a fancy logo on our resume and are here for a shot to prove ourselves.

We’re a small team, growing fast with huge momentum - join early.

This is an intense, hands-on role with full ownership. We expect you to push for excellence and raise the bar.

📍 Location: Remote - this role is available across all countries with 4hr+ overlap for the US ET timezone (NYC HQ)

Where you'll create impact

• You’ll own end-to-end execution for backend systems and infrastructure
• You’ll build APIs, services, and real-time systems handling complex accounting logic
• You’ll collaborate with founders, product, and frontend engineering to turn complex workflows into secure, performant systems
• You’ll design, implement, and ship production-ready features at high speed
• You’ll manage data migrations, scaling challenges, external integrations, and end-to-end reliability
• You’ll drive measurable outcomes that accelerate DualEntry’s product velocity and stability

What sets you up for success

• Hardcore work ethic and high agency
• 8+ years of experience in backend engineering
• Proven track record in high-growth, high-ownership environments
• Strong skills in PostgreSQL, SQL, ORMs, migrations, and schema design
• Experience with AWS or comparable cloud infrastructure
• Strong API design and testing experience
• Understanding of CI/CD, deployment, and production readiness
• Bonus: expertise in Python and modern frameworks (FastAPI, Flask, or Django)
• Ability to manage complex systems with evolving requirements
• Fluent English (C1+) with clear communication

How You Operate

• Pragmatic: you like to move forward and make decisions based in reality (not theory). We don't debate if Cassandra has the most theoretical scalability -- we use Postgres until it breaks
• Hard working: 'You can work long, hard, or smart, but [here] you can't choose two out of three" - Jeff Bezos. We wrote this job post during the weekend
• Curious: you love to learn, are highly curious about new frameworks and solutions to engineering problems
• Fast-moving: you deploy daily, iterate quickly, and never wait for permission

Why you’ll thrive here

• Significant equity ownership in one of the top AI companies in the world
• You’re joining early and will grow with DualEntry
• Your feedback shapes the product directly
• High-speed culture
• High-trust environment with high expectations
• Ambitious mission - ERP is one of the largest B2B software markets in the world ($220bn per year), this is a once in a lifetime opportunity to build the next generation ERP in an industry that has not seen new entrants in 30+ years

Benefits & Perks

• Base Salary: $100,000 – $175,000 USD
• Equity: $75,000+ USD
• Contract type: B2B
• Remote-first team - the fastest team you will have ever worked with
• Time Off: 15 PTO days + 12 public holidays
• Visa sponsorship option for relocation to NYC within 2+ years
• Early-stage role with high autonomy and real long-term upside
• Enjoy a learning & development budget for courses, certifications, and language learning to keep growing your skills.
• Work where you feel most productive at co-working spaces or from your home office with support for setup, internet, and phone.
• Plus, wellness perks and more to make your workday even better!

We hire the best, expect the best, and give you the masterclass of your career - an archaic and huge industry like ERP only goes through a restructure like this once in a lifetime. It’s hard, it’s intense, and it’s the most rewarding work you’ll ever do.

If you’re hungry, driven, and ready to build something massive, climb aboard!

At DualEntry, we believe great products come from diverse teams. We’re an equal opportunity employer, and we’re committed to a culture where everyone feels included, supported, and able to do their best work.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a Platform+Python/JS Engineer to join our team and help build, maintain, and scale AI-powered interactive products.
This is a hands-on role for an engineer who owns deployment, infrastructure, real-time systems, and AI-service integration end to end. You will work on production systems that combine web applications, real-time communication, Kubernetes-based backend services, and GPU-hosted AI pipelines.
The core of this role is production reliability and deployment ownership — keeping live systems stable, responding to incidents, and integrating AI models into scalable real-time infrastructure. Frontend work exists but is secondary: the team has a designer and uses AI-assisted tooling for UI iteration.

Responsibilities:
- Own deployment, environment management, and release workflows across Kubernetes-based, Railway-hosted, and other cloud infrastructure.
- Deploy and operate AI inference services on GPU platforms such as Modal or RunPod and integrate them into real-time product flows.
- Build and maintain real-time communication and async processing flows, including LiveKit-based session infrastructure.
- Work with Python and TypeScript(Node.js) / JavaScript application code in production environments.
- Support database-backed product features, schema evolution, and migration workflows.
- Improve observability, logging, monitoring, and incident debugging workflows.
- Contribute to frontend and backend product functionality as needed, using AI-assisted tooling where appropriate.
- Maintain clear and up-to-date documentation for every product, service, and integration, including architecture diagrams, API contracts, deployment procedures, and environment configuration.
- Ensure every new feature is discussed, scoped, and agreed upon before implementation begins. No undocumented or uncoordinated changes to production systems.
- Collaborate with engineering and product stakeholders to clarify requirements, identify risks, and ship practical solutions.

Required skills:
- Experience with AWS, Kubernetes, Helm, and container-based deployment workflows.
- Experience maintaining or modifying CI/CD pipelines, preferably with Jenkins or a similar legacy setup.
- Experience with real-time systems: WebSocket-based communication, session lifecycle management, and event-driven flows.
- Experience deploying and operating AI inference services on GPU platforms such as Modal, RunPod, Replicate, or similar.
- Experience with Python for production backend development.
- Experience integrating LLM-based services, voice AI APIs, or media-processing pipelines into production systems.
- Experience debugging distributed or multi-service systems, including reading logs across multiple services and environments.
- Solid understanding of backend APIs, service integration, and system design.
- Experience with PostgreSQL and ORM-backed schema management and migrations.
- Experience with TypeScript (Node.js) and frontend experience to ship and deploy UI changes with AI-assisted tooling.
- Ability to work independently and bring structure to ambiguous technical situations.
- Strong written and verbal English communication skills.
- Experience using AI-assisted coding tools (e.g., Cursor, GitHub Copilot, Gemini) for faster development and iteration

What we offer:
- Real impact: your content will directly attract new clients.
- Mentorship and growth.
- Freedom to experiment and test new formats.
- Flexible schedule and a remote-first culture.

About the Role

We are looking for a Senior ML/Ops Engineer to join a core algorithmic platform team building real-time ML inference systems at massive scale.

This is a highly technical, hands-on role focused on designing and operating production-grade ML systems, not research. You will work on systems that handle high throughput and strict latency requirements, with full ownership across backend, ML, and infrastructure layers.

Responsibilities

• Design, build, and maintain real-time ML inference services
• Develop and scale backend systems in Python
• Own end-to-end ML systems (architecture, services, pipelines, infrastructure)
• Integrate ML models into production services and business logic
• Optimize systems for low latency and high throughput
• Work with streaming systems and event-driven architectures
• Ensure system reliability, monitoring, and performance in production
• Collaborate closely with Data Scientists and engineering teams

Tech Stack

• Python (core language)
• Kafka / streaming systems
• Kubernetes, AWS / GCP
• FastAPI, Triton or similar inference frameworks
• Feature stores, model serving, A/B testing, monitoring tools
• High-performance data stores (Redis, Aerospike, etc.)

Requirements

• Strong backend engineering background in Python
• Hands-on experience with MLOps and production ML systems
• Experience building and owning end-to-end systems
• Experience with real-time / low-latency systems
• Experience working with high-scale environments (large traffic, high throughput systems)
• Strong system design skills (APIs, inference services, SLAs)
• Solid understanding of the ML lifecycle (training → deployment → monitoring)

Ideal Background

• Started as a Backend Engineer (Python) and transitioned into ML Engineering / MLOps
• Built production-grade ML services, not just pipelines
• Experience in high-scale domains (AdTech, Fintech, Gaming, streaming systems)

Important Notes

• This is a high-ownership role in a core team
• The domain is complex and niche — focus is on quality over quantity
• Experience with high-scale systems is highly preferred

Not a Fit If

• Pure DevOps / Infrastructure profile
• Only worked with ML pipelines (Airflow, ETL) without production ML
• No experience with real-time systems or latency constraints
• Mostly research or Data Science background without production systems

Hiring Process

• 2–3 interview stages

This role is ideal for engineers who combine strong backend engineering with ML systems experience and enjoy building real-time, high-scale production systems from end to end.

About the project
 

US-founded media company operating email newsletters at scale – millions of subscribers across finance, health, and business verticals. Small engineering team, flat structure, direct ownership, fast iteration. No layers of approval, no large org to navigate.

You'll own the AI layer of the automation platform alongside a counterpart engineer who handles integration and infrastructure.
 

What you'll work on

• AI-driven content generation and management workflows at production scale
• Agent systems coordinating multi-step operational tasks: content, QA, validation, reporting
• RAG pipelines over internal knowledge bases and operational data
• Prompt architectures designed for reliability, cost control, and measurable output quality
• Evaluation and regression testing for LLM systems — "it looked fine when I tested it" isn't good enough
   

Real production systems, not demos. The work removes hours of manual operational work daily and needs to be reliable enough that people actually trust it.
 

Requirements

• 6+ years of development experience
• 4+ years of production Python
• 2+ years shipping production systems with LLMs and agents
• Solid understanding of what happens underneath the frameworks: tokenization, context windows, function calling, when RAG helps and when it doesn't
• Hands-on with agent orchestration: LangChain, LangGraph, MCP, or equivalent
• Clean, maintainable Python – frameworks support your thinking, not replace it
   

Tech stack

Python · FastAPI · PostgreSQL · LLM APIs (OpenAI, Anthropic) · LangChain / LangGraph / MCP · vector databases · Playwright · Docker · proxy infrastructure
 

Conditions

• B2B contract, full-time
• Warsaw office (onsite preferred, remote considered)
• Direct collaboration with technical PM and small senior team
• Fast-moving environment: ambiguity, shifting priorities, growing scope

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client:
The company is on a mission to make the world’s industrial environments safer with technology solutions and to drive a paradigm shift in safety from reactive to proactive approaches to reduce the risk of industrial accidents. The team in Ukraine is developing the future of industrial safety based on machine learning, computer vision, and IoT.

About the role: 
We are looking for a Software Engineer to build high-throughput data pipelines and shared memory infrastructure. In this role, you will work with Python (3.11+) and ZeroMQ focusing on low-latency IPC, efficient memory management, and scaling our real-time processor ecosystem.

Responsibilities:
- Develop and optimize the Pipeline Engine (Python DAG orchestrator).
- Maintain shared memory pools (C library + Python/Go bindings).
- Manage the ZeroMQ IPC layer and FlatBuffers metadata serialization.
- Enhance the ProcessorWrapper infrastructure.

Must-have:
- Senior-level Python 3.11+: Deep understanding of concurrency, multiprocessing, GIL behavior, and memory management.
- Linux Systems Programming: Hands-on experience with /dev/shm, process isolation, file descriptors, and signals.
- Docker: Proficiency in containerized environments.

Nice to have:
- CUDA Basics: Experience with GPU memory management (IPC handles, stream sync, CPU↔GPU transfers).
- C/C++: Knowledge of POSIX shm, lock-free structures (atomic CAS), and pybind11/ctypes bindings.
- ZeroMQ & FlatBuffers: Familiarity with PUSH/PULL, PUB/SUB patterns, and zero-copy schema design.
- Computer Vision: Experience with OpenCV or CV-CUDA (nvcv).
- Optimization & RPC: Interest in TensorRT (YOLO optimization) and Connect RPC (Buf ecosystem).
- Domain Expertise: Background in building developer tools for ML pipelines, robotics, or real-time video systems.

The client offers:
- Good compensation;
- Benefit package;
- Strong team and career growth;
- Challenges every day!

We at Sigma Software are looking for a Python Developer to join an exciting project for a global telecommunications leader. 

This is a full-time position based in Ukraine with the flexibility of remote work. You will be part of a skilled Agile team building a high-impact web application that manages and tracks hardware inventories for millions of users. 

At Sigma Software, we value innovation, professional growth, and work-life balance. You’ll enjoy working in a collaborative environment and contributing to impactful solutions.

CUSTOMER 
Our customer is a leading telecommunications company recognized for delivering innovative, large-scale technological solutions. Operating globally, they provide advanced communication services and infrastructure to millions of users and businesses. Known for their commitment to cutting -  edge technology, scalability, and reliability, they offer a dynamic and forward-thinking work environment. 

PROJECT 
The project involves developing a web application to manage and  track customers' hardware inventories. It supports the full lifecycle of hardware contracts and products,  enabling efficient reporting, monitoring, and operational control. The  application integrates with existing systems, leverages modern frameworks, and follows SAFe Agile methodology to ensure high-quality delivery. 

Key Technologies: Python, Django, Django REST Framework, PostgreSQL, Celery, AWS, Unix, Bash, Angular/React 

Job Description

• Design and implement well-structured, maintainable, and robust code solutions
• Develop new features and components, perform refactoring, debugging, and ongoing maintenance
• Conduct peer code reviews and adhere to established engineering practices
• Perform unit and integration testing to ensure code quality
• Analyze requirements and prepare detailed technical designs for features
• Create and maintain technical documentation
• Participate in customer meetings, including conference calls and face-to-face sessions

• Actively contribute to SAFe Agile ceremonies, including estimation, grooming, and planning sessions

   

Qualifications

• 5+ years of experience in Python
• Practical expertise with Django, Django REST Framework (DRF), and Django ORM
• Solid understanding of PostgreSQL
• Experience writing unit tests using Python’s testing frameworks (e.g., TestCase)
• Familiarity with Celery for task scheduling and asynchronous processing
• Experience with AWS and Unix-based systems
• Bash scripting skills
• Experience with Angular or React
• At least Upper - Intermediate level of English

WILL BE A PLUS:

• Experience with microservices architecture
• Knowledge of Docker/Kubernetes
• Familiarity with CI/CD pipelines
• Understanding of telecom industry specifics

PERSONAL PROFILE:

• Proactive and detail-oriented
• Strong communication skills
• Ability to work effectively in distributed teams
• Adaptable and open to feedback
• Collaborative mindset