Jobs

We’re building a proof-of-concept engine that predicts the ROI of automating manufacturing

processes using simulation and statistical modelling.

Must-Have Skills

• Strong experience in simulation modelling, ideally Discrete Event Simulation (DES).

• Ability to build Monte Carlo–style simulation engines at scale.

• Solid understanding of statistical distributions and their application in scenario testing.

• Experience with sensitivity analysis to identify risks and drivers.

• Ability to produce transparent, well-documented, explainable code.

Nice to Have

• Familiarity with ERP/manufacturing process data.

• Experience with risk modelling or uncertainty quantification.

• Knowledge of manufacturing operations.

• Experience scaling simulations (parallelization, cloud).

Tech Stack

• Language flexible, but Python strongly preferred (SimPy, SALib, NumPy, SciPy, PyMC, etc.).

• Integration with our PHP product will come later (e.g. via API).

Deliverables (POC Scope)

• Simulation engine that can run multiple automation scenarios, apply distributions,

execute Monte Carlo runs, and output ranges with sensitivity results.

• Clear documentation of modelling assumptions, code structure, and extension paths.

Candidates will be required to sign an NDA before receiving further details

The company is a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world’s most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking combination of art and science. With a strong product, a proven business, and the DNA of a vibrant, fast-growing startup, we’re on the cusp of our next growth spurt. It’s the perfect time to join our team of ~450 thinkers and doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career with the company is basically guaranteed.

Requirements

• At least 5 years of experience with .NET with some experience in Python, or, alternatively, at least 5 years of experience in Python with some experience with .NET.
• At least 3 years of experience in processing structured terabyte-scale data.
• Solid experience in SQL (advanced skills in DML).
• Hands-on experience with OLAP storage (at least one of Snowflake, BigQuery, ClickHouse, etc.).
• Deep understanding of data processing services (at least one of Apache Airflow, GCP Dataflow, Apache Hadoop, Apache Spark, etc.).
• Experience in designing distributed cloud-native systems.
• Experience in automated test creation (TDD).
• Experience in working with AI tools.

Advantages

• Being fearless of mathematical algorithms (part of our team’s responsibility is developing ML models for data analysis; although knowledge of ML is not required for the current position, it would be awesome if a person felt some passion for algorithms).
• Experience in DevOps.
• Familiarity with Docker and Kubernetes.
• Experience with GCP services would be a plus.
• Experience with IaC would be a plus.

Senior Software Engineer — Rank.ai

At Rank.ai, our goal is to help companies understand and optimize how they rank in AI (ChatGPT, Perplexity, Gemini), not just in Google. As AI becomes the primary way people discover information, we’re building tools that give businesses visibility into their AI rankings and provide insights to improve through content creation and analytics.

We’re looking for an early-stage founding engineer to join as our core backend hire. This role is ideal for someone with 7+ years of professional software engineering experience who has built systems from the ground up and is eager to do it again in a fast-moving startup. You’ll be working directly with the founders to define both the product and the technical foundation.

What You’ll Work On

• Designing and building backend systems with Python, FastAPI, and SQLAlchemy.
• Managing high-throughput pipelines with Redis and asynchronous architectures.
• Owning scalability and reliability on AWS in a production environment.
• Establishing best practices for unit testing, code quality, and maintainability.
• Collaborating in an async-first communication style (Slack, docs, PRs) with minimal meetings.

Nice to Have

• Experience with React or frontend development.
• Prior startup experience or having built products 0→1.
• Interest in product direction and technical strategy, not just execution.

What We Value

• Good communication: clear, thoughtful, and async-friendly.
• Initiative: you take ownership, spot problems, and drive solutions.
• Experience: 7+ years building software, with a track record of taking systems from zero to production.
• Startup mindset: resourceful, adaptable, and excited to work as the core backend engineer on a small team.
• A pragmatic balance of speed and quality, with strong appreciation for testing and long-term reliability.

Since 2013, Duanex has been building bespoke software for international companies and startups — from mobile apps to complex cloud solutions. Our clients span health & fintech, digital banking, and large insurance organizations. We follow Agile best practices, and automated testing is a core part of our delivery.
 

We are looking for a Junior Developer to join us and grow in the world of AI agents, automation, and voice technologies.

What you’ll do:

• Build and configure Voice Bots using VAPI and Retell
• Integrate bots with systems like CRM and other APIs
• Create and fine-tune AI agents for internal tools and automation use cases
• Participate in data scraping, prompt design, and model training (RAG setups, Llama3)
• Work directly with the architect and take ownership of your solutions

Skills:

• 6+ months of experience
• Solid knowledge of Python
• Familiarity with OpenAI API and prompt engineering
• Understanding of Git, Docker, Jenkins
• English lever B1 or higher
• Self-driven, proactive, and comfortable working independently
• Not afraid of hands-on tasks beyond coding (e.g. basic server setup)

Would be a plus:

• Frontend (JS)
• Machine learning

Work format & perks:

• Remote-friendly; optional office in Kyiv
• 20 paid vacation days + 10 paid sick days
• Flexible schedule
• Accounting support

Hiring process: Recruiter interview →  Technical task → Final interview

At Qencode, we’re not just at the cutting edge of video technology, we’re redefining it! We partner with Fortune 500 companies like NVIDIA, AWS, and Google to power the future of video. From Per-Title Encoding AI to Speech-to-Text and subtitles, we’re shipping innovations that change how the world experiences video.

We’re looking for a Python Backend Engineer who’s eager to own high-impact work across video encoding and live streaming. In this role, you’ll build and optimize Python services, automate API-driven tests and workflows, and dig into performance bottlenecks across processing and delivery to keep systems fast and highly available. You’ll craft internal libraries, contribute to open source, and run proofs of concept with new tech to push our platform forward. Ideal candidates are hands-on with ffmpeg and message brokers (RabbitMQ), comfortable deploying workflows in the cloud — perfect for someone who wants to move quickly, wear multiple hats, and shape a modern streaming stack end-to-end.

• Goals
  • Build and optimize Python-based services for video encoding and live streaming workflows.
  • Automate critical processes, including API-driven testing of video encoding and streaming services.
  • Develop internal libraries and contribute to open-source projects aligned with our platform.
  • Conduct proofs of concept with emerging technologies to enhance platform capabilities.
  • Identify bottlenecks in video processing and streaming systems and drive performance improvements.
  • Debug and resolve complex system issues to ensure high availability and performance.

Qualifications
 

• Strong experience with Python backend development.
• Proven ability to automate workflows and optimize system processes.
• Experience with message brokers (RabbitMQ preferred).
• Hands-on with video processing tools (e.g., ffmpeg).
• Experience deploying on cloud platforms (AWS, GCP, DigitalOcean).
• Familiarity with media storage and CDN solutions (e.g., Backblaze B2, Fastly).

Preferred Skills
 

• Familiarity with containerization (Docker, Kubernetes).
• Experience with streaming protocols (RTMP, HLS, DASH).
• Knowledge of CI/CD pipelines and testing automation.

About the Project

Our client is a mission-driven, technology-focused non-profit organization founded by leading tech entrepreneurs.

The organization aims to tackle one of the biggest global challenges — online misinformation — by building innovative AI-driven trust infrastructure.

It operates with the speed and technical rigor of a high-growth startup, combining social impact with deep engineering work.

The team is developing a trust signal platform that helps AI systems evaluate which data sources are reliable.

The first product focuses on Wikipedia, analyzing its entire content to generate trust signals (such as edit stability, author credibility, and conflict history) and exposing them via an API that large AI platforms can query before using the information.

Future plans include expanding to other major data sources like Reddit, scientific papers, and online news.

Position: Backend Engineer - Data Infrastructure & Web Scraping

We are looking for a Backend Engineer for our client — a specialist with deep expertise in web scraping and data infrastructure, to design and build the foundational systems powering the trust platform.

You'll be responsible for designing and implementing scalable pipelines that collect, process, and serve data from complex platforms at enterprise scale.

Your Challenge — First 3-6 Months

• Build a proof of concept capable of collecting and processing data from sources such as Wikipedia and Reddit.
• Design the first data collection, storage, and low-latency processing pipelines.

• Contributing to defining the architectural model of the B2B API for strategic partners.

   

Your Challenge — First Year and Beyond

• Scale the framework to include new data sources digital books, newspapers, scientific articles, and paywalled content).
• Structure a metadata and statistics layer that allows AI platforms to decide in real time which sources to trust.

• Build the first robust commercial API for global AI and technology companies.

   

Day-to-Day Responsibilities

• Develop large-scale scraping routines with focus on performance, accuracy, and source accessibility.
• Build and optimize data processing pipelines in Python, designing efficient SQL data models.
• Work within AWS (cloud-native), with flexibility for other clouds.
• Participate in architectural discussions and product decisions with the founding team.

• Apply creativity and critical thinking to solve unprecedented problems without ready-made playbooks.

   

Required Qualifications

Web Scraping Expertise

• Proven experience scraping large, complex platforms (Wikipedia, Reddit, etc.).
• Ability to handle multi-level link structures, edge cases, and partial-access restrictions.

• Experience bypassing anti-scraping measures and processing various data formats.

   

Backend Development

• Strong Python skills for backend scripting and automation.
• Experience parsing, cleaning, and structuring data from APIs and scraped sources.

• Accuracy and completeness when preparing large datasets.

   

Data & Infrastructure

• Proficiency in SQL for querying, transforming, and modeling data.
• Experience designing scalable data pipelines for collection, storage, and retrieval.

• Handling large datasets with low latency and high precision.

   

API Development

• Experience building B2B APIs that expose processed datasets with layered metadata.

• Understanding of performance optimization for enterprise-level APIs.

   

Cloud Infrastructure

• Experience working in AWS (adaptable to other cloud platforms).

• Understanding of cloud-native architecture and security best practices.

   

Nice to Have

• Familiarity with LLMs and Prompt Engineering.
• Experience with RPA or data collection automation.
• Knowledge of JavaScript for integrations.
• Understanding of distributed architecture and resilient system design.

• Background in NLP or statistical modeling for trust scoring.

   

Why You’ll Love It Here

• Build technology that directly improves the integrity of global information.
• Work alongside some of the world’s most successful tech founders and receive direct mentorship.
• Fully remote, high-impact work environment with startup velocity and autonomy.
• Your engineering work will influence how AI systems worldwide determine truth.

Phenomenon Studio is a full-cycle design and development company founded in 2019.
We help startups and small to medium-sized businesses build and scale products across Healthcare, EdTech, SaaS, FinTech, and Web3 industries. 
Recognized with 30+ industry awards, we deliver high-quality solutions that combine creativity, technology, and business impact.

Our customer is a GRC (Governance, Risk & Compliance Assessment) platform designed to automate risk assessment, vendor management, and compliance with security standards. It streamlines complex GRC processes by centralizing data, enabling efficient reporting, and reducing manual workload.

The product is used by universities and public sector organizations in the US.

Team: 2x Backend, Frontend, QA, AQA, PM, UI/UX Designer

Requirements:
 

• 5+ years of commercial development experience
• Strong knowledge of Python, Django, and Django ORM
• Hands-on experience with AWS, Docker, Bash
• Experience in writing unit tests
• Mentoring and code review experience
• Strong communication skills and experience collaborating with stakeholders
• Upper-Intermediate English level

Nice to have:
 

• Experience with AWS Lambda, Kubernetes
• Understanding of cybersecurity principles
• Knowledge of security standards (ISO 27000)
• Experience with django-mptt

Responsibilities:
 

• Develop and maintain backend functionality for the platform using Python and Django
• Design efficient database structures and work with Django ORM to ensure optimal performance
• Participate in system architecture discussions and propose improvements for scalability and reliability
• Lead by example through code reviews, mentorship, and adherence to best engineering practices
• Collaborate with the team members to align technical implementation with business goals
• Deploy and maintain services on AWS, leveraging Docker for containerization and CI/CD pipelines
• Communicate effectively with stakeholders to clarify technical requirements and provide accurate estimations.
• Take initiative to identify potential improvements, propose technical solutions, and contribute ideas that enhance product quality and performance

What we offer: 
 

• Remote work format and flexible schedule
• Autonomy in work, opportunity to build processes, and grow within the company
• Individual development plan and annual performance review
• Workshops and playgrounds for continuous learning
• Compensation for subject-matter training
• Corporate English classes
• Access to IT Loyalty Club
• Accounting support
• 18 working days of annual leave
• 7 working days of sick leave and 7 working days of unpaid leave
• All national public holidays off

Recruitment process: Recruitment interview - Technical interview - Final interview

We are looking for a Team Leader (Python) to join our teams!

Requirements:

- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field;

- 6+ years of experience in software engineering;

- Experience in leading, growing, and mentoring a team of engineers;

- Strong hands-on experience in writing Production-grade Python code and owning the code quality of the team by conducting code reviews.

- Experience in leading the system design and architecture of delivering application services.

- Strong proficiency in Python, with experience with other programming languages;

- Solid understanding of computer science fundamentals, data structures, and algorithms;

- Strong knowledge of concurrency, parallelism, and related concepts;

- Experience with back-end frameworks (FastAPI);

- Expertise in object-oriented programming and SOLID principles;

- Experience with RESTful APIs and microservices architecture;

- Proficiency in version control systems, particularly Git;

- Familiarity with CI/CD pipelines and DevOps practices;

- Strong understanding of database systems (both SQL and NoSQL);

- Experience with AWS services, cloud architecture, and Serverless development;

- Knowledge of containerization technologies (Docker, Kubernetes);

- Testing and quality mindset; understanding Test Pyramid methodology and different Test Categories;

- Understanding of Observability (structured logging, metrics, traces, OpenTelemetry) and Reliability (circuit breakers, backoff, idempotency)

Will be plus

- Practical AI app experience: implementing RAG pipelines (chunking, indexing, retrieval, re-ranking) with vector stores (e.g., pgvector, Qdrant, Pinecone) and framework glue (LlamaIndex, LangChain, pydantic_ai or any similar);

- Integrating LLM providers via API (prompt/function-calling/tool use), with guardrails, caching, retries, and fallbacks.

- Familiarity with MLOps tools and practices (deepeval, prompts versioning, etc.);

- Experience with message brokers (e.g., NATS, Kafka, RabbitMQ);

- Familiarity with graph databases and algorithms;

- Understanding of gambling or gaming industry technology stacks.

Soft Skills

- Excellent problem-solving and analytical skills;

- Strong communication abilities, capable of bridging technical and non-technical stakeholders;

- Proactive approach to learning new technologies and methodologies;

- Ability to work effectively in cross-functional teams;

- Attention to detail and commitment to code quality;

- Time management skills and ability to handle multiple projects.

Responsibilities:

- Own architecture for AI application services: multi-tenant design, API & data contracts, eventing, and platform components (retrieval service, embedding/indexing pipelines, prompt/tool registry, evaluation harness);

- Lead system design for agentic workflows (tool use, function-calling, planners), with safety and policy enforcement (guardrails, content filters, prompt-injection defenses);

- Establish SLOs and operational excellence (dashboards, alerts, runbooks, on-call), drive incident reviews and reliability improvements;

- Optimize cost/perf: model/vendor selection, caching strategies, token/embedding budgets, throughput under provider rate limits;

- Guide data governance: PII handling, redaction, access controls, audit logging, and secrets management;

- Set and enforce engineering standards (architecture reviews, design docs, code quality, testing strategy, CI/CD, IaC);

- Mentor engineers, break down roadmaps into milestones, and collaborate with product and stakeholder teams; lead technical discovery with customers when needed;

- Develop and maintain robust, scalable web applications that integrate AI models;

- Lead the code reviews and contribute to improving development practices;

- Troubleshoot, debug, and upgrade existing software;

- Write technical documentation and maintain system architecture diagrams;

- Stay updated with emerging technologies and industry trends.

Our stack:

- Programming Languages: Python;

- Backend Frameworks: FastAPI;

- Databases: PostgreSQL, Redis;

- API Development: RESTful APIs;

- Cloud Platform: AWS (primary);

- AWS Services: EC2, S3, Lambda, API Gateway, RDS, DynamoDB;

- Version Control: Git, GitHub/GitLab;

- CI/CD: Jenkins, Argo CD, GitLab CI, GitHub Actions;

- Containerization: Docker, Kubernetes (basic knowledge).

Our benefits to you:

☘️An exciting and challenging job in a fast-growing holding, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more
🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed
🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided
🏖Paid vacations, sick leave, personal events days, days off
💵Referral program — enjoy cooperation with your colleagues and get the bonus
📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
🎯Rewards program for mentoring and coaching colleagues
🗣Free internal English courses
✈️In-house Travel Service 
🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, PIN-UP clubs for movie / book / pets lovers and more
🎳Other benefits could be added based on your location

We are looking for a highly skilled and motivated Middle Full-Stack  Developer to join our team. This is a key role for someone who is not only a top-tier developer but also a confident communicator who can take ownership of projects and engage directly with clients. You'll work closely with our Chief AI Officer and a talented team of developers and sales professionals to build innovative AI-driven products and solutions.

What You'll Do:

• Develop AI Solutions: Design, develop, and deploy full-stack applications and solutions powered by AI for both our company and our clients.
• Architect and Consult: Provide expert consultation to clients, helping them define the right technical architecture and strategy for their AI initiatives.
• Collaborate and Lead: Work within a cross-functional team, taking on a leadership role in technical discussions and client calls.
• Prototype and Evaluate: Participate in task estimation and the rapid development of prototypes to test new ideas and validate solutions.
• Take Ownership: Handle delegated tasks from the Chief AI Officer with a high degree of autonomy and responsibility, including leading client meetings and discussions.
   

What We're Looking For:
 

• Middle-level experience in full-stack development. (3-4 years of experience) 
• Strong proficiency with JS for front-end development and Python for back-end and AI/ML development.
• Experience with GCP
• A solid understanding of AI principles and concepts.
• Excellent communication skills in English—you must be comfortable and confident leading calls with clients.
• Strong soft skills, including the ability to collaborate effectively, solve complex problems, and take initiative.
   

Bonus Points For:

• Experience with Google Cloud Platform (GCP).
• Familiarity with Docker and containerization.
• (will be a plus React/Next.js)

About QOVES

We make software that helps patients and clinics diagnose, plan, and visualize how to improve their appearance. Our AI-driven tools are used by cosmetic medical clinics worldwide. We’re VC funded, profitable, and building the next evolution of our backend platform.

This is a remote role for strong individual contributors. You’ll work alongside our core London team, focusing on executing backend improvements, resolving complex bugs, and implementing new services designed by our architecture group.

We move quickly and value engineers who are meticulous, reliable, and thrive in a structured environment where every week brings a new system to strengthen or untangle.

Your Day-to-Day

• Fix real-world issues: investigate and patch production bugs such as segmentation failures, model timeouts, malformed API payloads, or broken async tasks — ensuring quick turnaround and robust solutions.
• Implement new features and services: turn technical design docs or ADRs into working backend code — whether building FastAPI endpoints, integrating a queue consumer, or wiring up a new AI microservice.
• Refactor and modernize legacy code: take older Django logic and gradually migrate it to cleaner, modular patterns (Celery workers, service boundaries, async APIs).
• Maintain reliability: add metrics, tracing, and error handling so your fixes are observable and measurable in production.
• Participate in small-scale refactors: support the architecture team by executing structured migration tasks (e.g., breaking monolith views into APIs, moving tasks into queues, adding retries).
• Write clean, testable code: follow established patterns, maintain consistency, and document your work clearly for the next engineer.
• Collaborate asynchronously: communicate clearly through PRs, design comments, and Slack updates across time zones.
• Contribute to stability: help improve CI/CD pipelines, identify recurring issues, and propose tactical fixes that improve overall reliability.

What You’ll Work With

• Stack: Python, Django/DRF, FastAPI, Postgres (master + read replicas), Redis, Celery/RQ, RabbitMQ/SQS
• Infra: Docker, Kubernetes/ECS, AWS, GitHub Actions, OpenTelemetry, SigNoz/Grafana
• Tools: Linear, Notion, Slack, internal CI/CD via Dokploy

What You Bring

• 5–10 years of backend development experience in Python (Django/DRF or FastAPI).
• Strong debugging skills — you’re comfortable fixing production issues quickly and safely.
• Experience executing from technical design docs or ADRs and delivering reliable, high-quality code.
• Practical understanding of queues, background jobs, retries, idempotency, and distributed system basics.
• Solid database knowledge — Postgres schema design, migrations, and query optimization.
• Comfortable working asynchronously with teams across time zones.
• Bonus: OpenCV or computer vision exposure, or experience integrating LLM/AI microservices.

What Success Looks Like

• You’ve resolved production issues that previously took hours to debug.
• You’ve implemented a new backend service end-to-end following an ADR.
• You’ve refactored messy legacy code into clean, testable modules.
• You’ve added metrics that make performance bottlenecks visible and actionable.
• You’ve earned trust by delivering stable, maintainable code week after week.

Compensation & Setup

• Competitive global salary
• Equity options
• Performance and quarterly bonuses
• Home-office stipend & hardware budget
• Learning and professional development support

Remote-first. Preference for candidates within ±4 hours of London (GMT).

Applications Closing : 21st Oct

C2 / Native English Required. Your communication skills are extremely important given this a remote role.

We are seeking a talented Senior Python Engineer to join our dynamic team.

What is this project about?

A US-based startup is developing a hybrid virtual care coordination service, powered by a clinical pharmacy. The platform supports patients who are prescribed five or more medications by providing access to clinical pharmacists who optimize medication management, improve adherence, and coordinate care across providers to enhance patient outcomes.

What is the team size and structure?

Our team consists of a Project Manager, a DevOps Specialist, a QA Specialist, and a Senior Python Engineer.

What does the interview process look like?
- Recruitment interview - up to 30 minutes;

- Technical Interview - up to 1 hour;
 

Requirements:

• 4+ years of commercial experience in backend development with Python 
• Knowledge of Django (or similar Python frameworks) for building scalable services.
• Experience working with healthcare data standards (EHR/EMR, HL7, HIPAA compliance).
• Familiarity with data integration pipelines (payer claims data, HIE feeds, patient ID matching, MPI).
• Understanding of databases and data warehouses (Snowflake, Tuva, relational DBs).
• Strong understanding of data security, privacy, and compliance in healthcare.
• Excellent problem-solving skills, ability to optimize workflows, and reduce manual processes.
• Upper-Intermediate English 

Nice to have

• Experience integrating with external systems and APIs (e.g., EMRs, Zoho, RingCentral, Bee Texting).

Responsibilities:

• Design and develop backend services to support clinical pharmacists with faster, automated medication research and intervention tracking.
• Build and maintain integrations with EMR/EHR systems, ensuring smooth push of pharmacist recommendations into provider systems.
• Implement an intelligence layer for managing complex drug interactions and diagnostic testing integration.
• Develop data pipelines for ingesting and processing payer claims data, HIE feeds, and patient records (MPI matching).
• Optimize workflows to reduce pharmacist time per patient (goal: 14 patients daily vs. current 4).
• Create monitoring and feedback systems to shorten the recommendation loop from weeks to days.
• Collaborate closely with the product team, pharmacists, and other engineers to validate and harden workflows in production.
• Ensure security and compliance with HIPAA and other healthcare regulations.

We’re looking for a skilled Python Developer to join a high-performing AI engineering team developing next-generation products powered by large language models. This is your chance to work in a cutting-edge AI lab environment, where innovation meets scale — building tools and systems that will impact millions of users globally.

Core Competence:

• 3+ years of professional experience in Python development.
• Proven track record in delivering production-ready AI or ML features with active user adoption.
• Hands-on experience with LLMs, RAG architectures, and AI agents (via APIs or custom setups).
• Solid understanding of databases, REST APIs, and scalable backend architectures.
• Familiarity with Node.js, JavaScript, or PHP is a plus.

• Upper-intermediate English for technical discussions and documentation.

   

Preferred Qualifications:

• Experience developing AI-powered consumer or enterprise applications.
• Understanding of AI chatbots, agentic workflows, and MLOps practices.
• Familiarity with WordPress, e-commerce, or messaging platforms.
• Open-source contributions related to AI/LLM technologies.

• Strong collaborative mindset, capable of thriving in fast-paced research-driven environments.

   

What We Offer You:

• 💻 100% Remote — work from anywhere (timezone: America/New_York).
• 🚀 Impactful Work: Ship real AI products used by millions of users worldwide.
• 🧩 Innovative Environment: Join a world-class AI team combining research with product delivery.

• 🌱 Long-term Full-time Role: Stable, growth-oriented position.

   

The legal world in the era of AI is changing like it's never before. We’re building autonomous AI agents for lawyers that complete work in hours that used to take months and costs billions for legal teams. We’re rolling this out with one of the largest law firms in the world and reshaping how their teams operate. That’s why we’re hiring a founding Python/NextJS engineer who is energized, motivated, and ready to reshape the industry together 🚀🔥

Responsibilities

• No legal experience required to start;
• Ship core features across Python/FastAPI and Next.js/React.
• Build/evaluate autonomous agents with LangChain + LangSmith.
• Design APIs & data models; integrate Supabase (auth, storage, vector search).
• Keep prod solid: tests, CI/CD, monitoring, security/GDPR.
• Work directly with founders/pilot users; iterate fast.

Requirements

• Heavy daily use of AI dev tools (Cursor, Windsurf, etc.)
• Experience in building production products with high ownership.
• Strong Python (async, FastAPI, pytest, typing) and Next.js/TypeScript.
• Proven LangChain in prod + LangSmith (tracing/evals).
• Supabase/Postgres (schemas, RLS, migrations, performance) - optional.
• Docker + GitHub Actions; sharp debugging; product mindset.
• Clear written/spoken communication.

Benefits

• Founding impact
• Continuous salary increments
• Ship with a top global law firm from day one.
• Modern tooling + LLM credits and budget.

If you’re ready to shape the legal world and work with leading enterprise law firms and legal companies, we’re waiting for you 🚀

We are looking for a Senior Software Engineer L1 to join us in the exciting and rapidly growing billing industry. By joining this team, you will be helping to take our platform to the next level by building the necessary Services and APIs. You'll also work closely with other engineers, UI designers, and product managers to define stories, assess scope and technical concerns as well as advocate for best practices to improve software quality.
 

In this role, you will:

• You will extend outside of direct organization and collaborate with peers across a senior-level organization.
• You will serve as a guide to others by sharing and helping other engineers in their duties.
• You will possess knowledge of integration architecture and technology platforms to form a fully functional solution to a business problem.
• You will research and recommend frameworks and architectural/code design patterns.
• You will take a whole systems approach to analyze issues and implement holistic solutions by ensuring that linkages between structure, people, process and technology are made.
• You can spot outmoded methods of operation with current systems and design plans for disrupting them in a non-disruptive manner.
• You will report on the status of difficult or high-level projects to technical leadership via written or oral means.
• You will ensure documentation for our systems is complete.

Experience and qualifications:

• Bachelor's degree or Masters in a related technical field (or equivalent related professional experience) and/or 8+ years of relevant experience.
• Experienced in building scalable Python back end systems.
• Experienced in building JavaScript (any framework) front end systems.
• Experienced in building event-driven systems.
• Able to identify business problems at the project level and team level and design solutions that are easily testable and observable.
• Strong understanding of how team goals fit a business need.
• Able to justify technology choices to technical and non-technical observers.
• Able to understand highly complex systems and design moderately complex systems.
• Able to identify and advocate for project quality via testing, monitoring and alerting at the project level.
• Able to establish operational excellence metrics at the team level.

We are expanding our engineering team and looking for a Middle Python Back-End Engineer to help us build a system that processes high-frequency geospatial flight data in near real-time.

You will be part of a mission-critical product that collects, transforms, and transmits data for dynamic visualization on tactical maps and for integration with external analytical systems. The speed and reliability of your code will directly impact how this data is used in real-world decision-making processes. 

If you want to work on a product with purpose, where your code has real-world impact - we’d love to meet you.

What You Will Do
 

• Build and maintain backend services for ingesting, processing, and distributing real-time geospatial data
   
• Design RESTful and WebSocket-based APIs to serve both internal systems and third-party integrations
   
• Optimize data flow and system performance to minimize latency and maximize throughput
   
• Write clean, tested, and maintainable code using modern Python frameworks (Flask or FastAPI)
   
• Collaborate with front-end engineers, DevOps, and analysts to ensure consistent delivery of reliable data
   
• Contribute to architecture and system design discussions focused on performance and scalability

What You Need to Join Us

• Proficiency in building Python backend services – you write clean, efficient code and know how to ship reliable systems.
   
• Experience with Flask (or FastAPI), REST APIs, and Socket.IO (or WebSocket) communication.
   
• Basic knowledge of NumPy and Pandas
   
• Solid understanding of PostgreSQL and MongoDB databases.
   
• Experience with Python testing frameworks (e.g., pytest)
   
• Fundamental understanding of interaction between frontend and backend
   
• Understanding of programming patterns and their practical application
   
• Familiarity with handling sensitive data and basic principles of secure backend architecture.
   
• Ability to optimize database performance for speed and scalability.

Nice to Have

• Basic understanding of CI/CD pipelines and cloud deployment (e.g., AWS, FluxCD).
   
• Familiarity with analytical geometry or geospatial data: coordinates, shapes, movement modeling.
   
• Experience working with real-time systems or high-throughput applications.

Why Join Us

• Make Real-World Impact - Our tech is proven in national defence. 
• Challenging Work - You’ll build what hasn’t been built by anyone before.
• Military deferment - For full-time employees.
• Flexible Schedule - Remote-friendly and results-driven
• Competitive Compensation - We reward top talent
• Growth-Oriented Culture - Work with a smart, driven, collaborative team