Jobs Python

Description

The project focuses on developing and maintaining an on-premises environment for hosting AI-enabled applications and processing imaging data.

The solution is deployed on dedicated physical server infrastructure located within customer facilities and hosts both third-party and internally developed software components.

The engineering scope includes development and automation of the server environment, Linux configuration, containerized deployments, infrastructure automation, system integration, and automated verification.

The team will work on improving deployment reliability, maintainability, security, and operational efficiency of the platform across different customer environments.

Requirements

• Demonstrated professional experience of 5–8 years in software development, with strong hands-on expertise in Python-based backend, automation, or infrastructure-related solutions.
• Strong experience working in Linux-based environments and developing software intended for deployment on physical or virtualized server infrastructure.
• Ability to work effectively in a cross-functional engineering environment and independently drive technical tasks from design through implementation and verification.

Required Skills:

• Advanced Python programming skills, including experience developing maintainable, production-grade applications and automation solutions.
• Strong practical experience with Linux OS, including system configuration, troubleshooting, scripting, and administration.
• Hands-on experience with Docker, containerized applications, image management, networking, and deployment.
• Practical experience with Ansible for infrastructure configuration, provisioning, and deployment automation.
• Understanding of DevOps practices, including CI/CD, build and deployment automation, configuration management, and environment management.
• Experience implementing automated unit tests and integrating testing into development and CI/CD workflows.

• Good understanding of networking, system services, logging, monitoring, and troubleshooting distributed or containerized applications.

   

Job responsibilities

• Design, develop, and maintain Python-based services, automation components, and infrastructure tooling for the AI Host environment.
• Develop and maintain automated provisioning and configuration processes using Ansible.
• Build and maintain Docker-based deployment environments.
• Configure, maintain, and troubleshoot Linux-based server environments used for on-premises deployments.
• Participate in the design and evolution of the AI Host platform architecture, ensuring scalability, maintainability, reliability, and security.
• Implement deployment and configuration automation to simplify installation and maintenance of the solution in customer environments.
• Develop comprehensive unit tests and automated verification mechanisms to ensure software quality and deployment stability.
• Contribute to CI/CD pipelines and continuously improve development, build, testing, and deployment processes.
• Investigate and resolve complex software, infrastructure, containerization, and operating-system-level issues.
• Conduct code reviews and contribute to engineering standards and development best practices.
• Collaborate with customers’ engineering stakeholders to deliver integrated solutions.
• Create and maintain technical documentation covering architecture, deployment, configuration, troubleshooting, and operational procedures.
• Evaluate and recommend appropriate technologies and tools based on project requirements and technical constraints.

Software Engineer – AI, Data & Full Stack

Employment Type: Full-Time, Remote
Working Hours: U.S. Time Zone
Salary: $2,000–$2,500 USD per month

About the Role

We are looking for a Software Engineer – AI, Data & Full Stack to join our engineering team and build production-ready AI applications, backend services, data pipelines, and modern web applications.

The ideal candidate has strong experience with Python, FastAPI, AI/LLMs, RAG, MCP, Vue.js, and Angular, along with practical knowledge of cloud infrastructure and CI/CD.

The position is 100% remote, but candidates must be available to work during U.S. business hours.

Key Responsibilities

• Develop backend applications and APIs using Python and FastAPI.
• Build responsive frontend applications using Vue.js and Angular.
• Integrate frontend applications with REST APIs and AI-powered backend services.
• Build AI applications using LLMs, Generative AI, RAG, and AI agents.
• Develop and integrate Model Context Protocol (MCP) servers and tools.
• Design and optimize prompts using modern prompt engineering techniques.
• Implement embeddings, semantic search, and vector database solutions.
• Build data processing, ETL, and machine-learning pipelines.
• Integrate external APIs and third-party platforms.
• Design scalable REST APIs and microservices.
• Containerize applications using Docker.
• Build and maintain CI/CD pipelines using CircleCI.
• Deploy and maintain applications on AWS.
• Write unit, integration, and API tests.
• Monitor and troubleshoot applications in production.
• Participate in code reviews and architecture discussions.
• Collaborate with engineering, data science, AI, and product teams.

Required Technical Skills

Backend

• Python
• FastAPI
• REST APIs
• Pydantic
• Async Python
• SQL
• PostgreSQL

• Redis

   

Frontend

• Vue.js
• Angular
• JavaScript
• TypeScript
• HTML5
• CSS3
• REST API integration
• Responsive web development
• Modern frontend architecture and component-based development

Experience with Pinia/Vuex, RxJS, Angular Material, Tailwind CSS, or Bootstrap is a plus.

AI / LLM Engineering

• Large Language Models (LLMs)
• Generative AI
• Model Context Protocol (MCP)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• AI Agents / Agentic AI
• Tool and function calling
• Embeddings
• Semantic search
• Vector databases
• LLM evaluation and testing

Experience with LangChain, LangGraph, LlamaIndex, OpenAI, Anthropic, or AWS Bedrock is highly desirable.

Data Science & Data Engineering

• Pandas
• NumPy
• Scikit-learn
• Data preprocessing
• ETL/data pipelines
• Machine learning fundamentals
• Model evaluation

• Data analysis

   

DevOps & Cloud

• AWS
• Docker
• CI/CD
• CircleCI
• Git / GitHub
• Linux
• Cloud deployment and monitoring

Experience with Kubernetes, Terraform, GitHub Actions, AWS ECS/ECR, Lambda, S3, RDS, CloudWatch, IAM, and Bedrock is a plus.

Additional Preferred Skills

• Multi-agent AI systems
• MCP server architecture
• Langfuse or similar AI observability platforms
• RAG/LLM evaluation frameworks
• Microservices architecture
• Multi-tenant SaaS architecture
• OAuth 2.0 / JWT
• WebSockets
• Celery
• Kafka, RabbitMQ, or AWS SQS
• Pytest
• MLOps
• Application monitoring and observability
• Agile/Scrum development

Qualifications

• 5+ years of professional software engineering, full-stack engineering, AI/ML engineering, or related experience.
• Strong hands-on experience with Python.
• Professional experience with Vue.js and/or Angular.
• Experience developing REST APIs with FastAPI or similar Python frameworks.
• Practical experience building applications using LLMs and Generative AI.
• Understanding of RAG, MCP, embeddings, vector search, and prompt engineering.
• Experience with Docker and CI/CD.
• Familiarity with AWS cloud infrastructure.
• Strong debugging and problem-solving skills.
• Ability to work independently in a remote environment.
• Good written and verbal English communication skills.
• Ability to work and collaborate during U.S. business hours.

Position Details

Salary: $2,000–$2,500 USD/month
Employment: Full-Time
Location: 100% Remote
Working Hours: U.S. Time Zone

We are looking for an engineer who can work across the full application stack—from Vue.js/Angular frontends and Python/FastAPI backend services to RAG, MCP, AI agents, data pipelines, AWS infrastructure, and production deployment.

We are looking for a Python Developer with hands-on experience in web scraping to join our team.

Requirements

• Strong experience with Python
• Practical experience with web scraping using Scrapy
• Experience working with AWS is a strong plus
• Experience with AI-assisted development, particularly Claude Code
• Good problem-solving and analytical skills
• English: Upper-Intermediate / Fluent

Work Conditions

• Employment type: Full-time
• Location: Poland
• Time zone: European time zones

We are looking for a Python Developer (microservices) to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

  You'll be a great fit if you have:

• 2+ years of experience with Python;
• Experience with SQL and query optimisation;
• Experience with integration of 3rd party services;
• Strong understanding of client-server model, REST API approach, authorization/authentication principles;
• Strong understanding of asynchronous/multithread/multiprocess programming;

• Upper- Intermediate level of English.

   

    Would be a plus:

• Experience with Redis and Lua scripts;
• Experience with AWS services (Lambda, Step Functions, API Gateway, SQS, Fargate);
• Experience with Django REST API;
• Experience with payment systems integrations (Stripe, Shopify, Recurly, PayPal, Braintree, etc.);

• Experience with Celery and async task management.

   

  What you'll do:

• Developing server applications (APIs). Within these applications, developers need to describe core logic and integrations with third-party services.
• Writing scripts similar to DAGs in Airflow or AWS Lambdas. These scripts should process information using Pandas or implement some simple business logic.
• Developing applications with a distributed architecture (microservices).

• Developing client applications for data retrieval. These data will later be processed by developers from the DS and DE departments.

   

  We ensure your growth with:

• Competitive salary fixed in USD
• Flexible working schedule and fully remote work format
• Paid vacation days and sick leave days 
• Personal and professional development opportunities
• Participation in building innovative projects from scratch using modern technologies
• Team-building activities and corporate events
• English classes and educational events.

The product we are working on is one of TOP-3 navigation systems, complex web-services and other solutions related to it. The web and mobile apps handle information at massive scale and extend well beyond the search giving people and companies a lot of new useful options.

You will play a high-impact role within a small, efficient team dedicated to bridging the gap between Engineering and Data Science. Your work will focus on building cutting-edge Generative AI infrastructures and frameworks that significantly boost productivity across the whole product. You will develop tools that bring engineering rigor to data science workflows, solving complex problems in the GenAI space that the market has yet to crack. This is a high-impact role in a small team. You will be working alongside talented engineers and data scientists to build productivity-defining products for the next generation of the application.

Requirements:

• Location in Warsaw (Office-based role in Warsaw).
• 5+ years of experience in software development, with a focus on infrastructure or data-centric applications.
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• Strong proficiency in Python and a solid understanding of backend architecture.
• Experience with SQL and the ability to handle complex data structures.
• Problem-Solving: Ability to write clean, abstract, and maintainable code for a rapidly evolving GenAI landscape.
• Communication: Excellent communication skills for collaborating with geographically distributed teams and translating data science needs into technical requirements.

• Fluency in English.

   

Nice to have:

• Generative AI Expertise: Familiarity with LLM orchestration frameworks, prompt engineering, or vector databases.
• Polyglot Programming: Experience with Kotlin, Java, Bash, or HCL (Terraform).
• Frontend Interest: Experience building chat interfaces or data visualization dashboards.

• Large-Scale Systems: Experience working on large-scale infrastructure that serves a diverse range of internal or external users.

   

Responsibilities:

• GenAI Development: Design, develop, and maintain features for our GenAI analytics agent (DataWhiz) that serve the entire organization for complex data analytical inquiries.
• Framework Optimization: Improve and scale the internal GenAI framework, including fixing bugs and optimizing the core engine for performance and reliability.
• UI/UX Enhancement: Build and implement new UI features for the GenAI chat interface to ensure a seamless experience for internal stakeholders.
• Cross-Functional Collaboration: Partner with development, product, and UX teams to define product requirements, while collaborating with core platform engineers to ensure infrastructure alignment.

• Engineering Excellence: Bridge the gap between Engineering and Data Science by applying software engineering best practices (code reviews, CI/CD, scalability) to DS workflows.

   

We offer:

• Opportunities to develop in various areas;
• Compensation package (20 paid vacation days, paid sick leaves);
• Flexible working hours;
• Medical Insurance;
• English courses with a native speaker, yoga (zoom);
• Paid tech training and other activities for professional growth;
• International business trips

• Comfortable office (Office-based role in Warsaw - 5 days in the office)

   

If your qualifications and experience match the requirements of the position, our recruitment team will reach out to you in a week maximum. Please rest assured that we carefully consider each candidate, but due to the amount of applications the review and further processing of your candidacy may take some time.

GlobalLogic is working on an advisory engagement to design an AI-powered search assistant for project documentation accumulated over roughly 20 years, currently stored on an isolated, internet-disconnected file server. The dataset spans 2-3 TB including test artifacts, with core documents in the 1-10 GB range and about half the volume in the legacy .xls format. The goal is to let developers and SMEs query specification documents in natural language and get answers assembled across multiple related customization projects, instead of manually tracing code history and cross-referencing documents by hand. The target architecture connects the document store (likely SharePoint) to a generative AI search layer, with NotebookLM as the initial reference point and enterprise alternatives such as Vertex AI Agent Builder under evaluation.

Job Description

• 3+ years of commercial experience with Python, including work on data processing and ETL pipelines
• Experience parsing and transforming document formats (Excel including legacy .xls, PowerPoint, Word, PDF) using libraries such as pandas, openpyxl, xlrd, python-docx, python-pptx
• Experience with OCR technologies for extracting text from images and embedded objects (e.g. Tesseract, Google Vision API, Azure Computer Vision) 
• Understanding of RAG (Retrieval-Augmented Generation) architectures, embeddings, and vector search
• Experience integrating with cloud storage and collaboration platforms via API (SharePoint / Microsoft Graph API or similar)
• Written and spoken English proficiency equivalent of B2 or higher
• Ability to work with incomplete requirements during an advisory and PoC phase
• Self-reliant, comfortable proposing and testing technical solutions with limited direction

Nice to have:

• Familiarity with NotebookLM, LangChain, LlamaIndex, or Vertex AI Agent Builder
• Experience designing incremental indexing or delta-update mechanisms for search systems
• Experience working with enterprise clients in isolated or air-gapped network environments
   

Job Responsibilities

• Design and implement a format-conversion pipeline for legacy files (.xls, .ppt) into AI-readable formats (.xlsx, PDF, or Markdown)
• Build extraction logic for unstructured data inside Excel files, including text in shapes via drawing-layer analysis and OCR processing of embedded images
• Develop and validate an incremental update mechanism so only new or changed files are reprocessed
• Implement data cleansing logic to exclude obsolete or duplicate files (marked "old", "BKUP") from search results
• Evaluate NotebookLM against alternative platforms (e.g. Vertex AI Agent Builder) and document findings to support the Advisory Phase comparison
• Build PoC search functionality supporting natural language queries across multiple customization specification documents

Description

GlobalLogic is working on an advisory engagement to design an AI-powered search assistant for project documentation accumulated over roughly 20 years, currently stored on an isolated, internet-disconnected file server. The dataset spans 2-3 TB including test artifacts, with core documents in the 1-10 GB range and about half the volume in the legacy .xls format. The goal is to let developers and SMEs query specification documents in natural language and get answers assembled across multiple related customization projects, instead of manually tracing code history and cross-referencing documents by hand. The target architecture connects the document store (likely SharePoint) to a generative AI search layer, with NotebookLM as the initial reference point and enterprise alternatives such as Vertex AI Agent Builder under evaluation.

Requirements

• 3+ years of commercial experience with Python, including work on data processing and ETL pipelines
• Experience parsing and transforming document formats (Excel including legacy .xls, PowerPoint, Word, PDF) using libraries such as pandas, openpyxl, xlrd, python-docx, python-pptx
• Experience with OCR technologies for extracting text from images and embedded objects (e.g. Tesseract, Google Vision API, Azure Computer Vision) 
• Understanding of RAG (Retrieval-Augmented Generation) architectures, embeddings, and vector search
• Experience integrating with cloud storage and collaboration platforms via API (SharePoint / Microsoft Graph API or similar)
• Written and spoken English proficiency equivalent of B2 or higher
• Ability to work with incomplete requirements during an advisory and PoC phase
• Self-reliant, comfortable proposing and testing technical solutions with limited direction

Nice to have:

• Familiarity with NotebookLM, LangChain, LlamaIndex, or Vertex AI Agent Builder
• Experience designing incremental indexing or delta-update mechanisms for search systems

• Experience working with enterprise clients in isolated or air-gapped network environments

   

About the client

Our customer is the European online car market, serving over 30 million monthly users and present in 18 countries. As part of their project, they are building an internal AI platform and are looking for a Senior AI Engineer with genuine, hands-on experience building agentic AI systems - not just integrating existing tools.

This is a hands-on engineering role for someone who has real depth in both AI system design and AWS platform engineering, and who can move fluidly between the two to build production-grade, agentic solutions.

While this is a hands-on role, you will also influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed.

Duration is 4-6 months with the possibility of prolongation. 

Time zone: EU or Canadian time zone.

We are ready to consider candidates for part-time cooperation.

Responsibilities:

• Design, build, and maintain agentic AI systems as part of the AI platform
• Work in depth with AWS to build and operate the underlying platform infrastructure
• Design and implement knowledge graph solutions to support AI reasoning and retrieval (e.g. using AWS Neptune or Neo4j)
• Collaborate with cross-functional teams to align the AI platform with business goals and internal use cases
• Troubleshoot and resolve issues across integrated systems to ensure reliable, end-to-end agentic workflows.

Requirements:

• 5+ years of experience in Software Development
• Real, hands-on experience building agentic AI systems - genuine understanding of how they work, beyond just using existing tools or frameworks off the shelf.
• Strong, in-depth AWS experience - real platform engineering depth, not incidental or side use of AWS.
• Strong Python knowledge
• Deep experience building knowledge graphs, ideally with AWS Neptune or Neo4j - especially valuable for this role.
• Experience with LLMs, prompt engineering, and AI integration patterns.
• Strong troubleshooting skills and a collaborative, team-first mindset.
• English level - upper-intermediate (both verbal and written)

Nice to Have:

• Familiarity with MCP (Model Context Protocol).
• Proficiency in infrastructure as code (e.g. CDK in TypeScript/Node.js) to manage AWS services such as Amazon Bedrock and Agent Core.
• Docker/Kubernetes familiarity.

At Immense Group, we are guided by our core values of passion, boldness, and integrity. We strive to create an environment where our people thrive, driven by a love for innovation and a commitment to delivering exceptional player experiences. If you’re passionate about iGaming and tech development bold in your approach, and act with integrity, we’d love for you to join our team as a RPA & Python Engineer. 
 

A taste of what you’ll do 
We're looking for an experienced RPA Engineer to join our automation team. In this role, you'll design, 
build, and maintain automation solutions using UiPath and Python, working closely with stakeholders 
across Casino, AML, Finance, and Tech. You'll help remove manual bottlenecks, improve operational 
efficiency, and support the wider adoption of automation across the business. 

• Working closely with departments such as Casino, AML, Finance, and Tech to understand automation needs
• Designing, building, and deploying RPA and Python-based automation solutions that reduce manual effort and operational risk
• Maintaining clear technical documentation and handover materials for every solution delivered
• Adapting quickly to shifting priorities across multiple concurrent projects
• Owning end-to-end delivery of RPA solutions, from design through to production deployment
• Presenting technical solutions to non-technical stakeholders in plain, accessible language
• Monitoring and troubleshooting live RPA bots to ensure stable, ongoing operation
• Keeping up to date with developments in automation and AI tooling, and applying them where useful
• Any other task or responsibility that may be related and/or connected to the role of RPA Engineer

Who and what we are after? 
 

• At least 3 years' hands-on experience building RPA solutions with UiPath
• Proven ability to design automation pipelines connecting multiple systems — extracting, processing, and integrating data with existing codebases (Python, Java, PHP)
• Experience deploying and supporting UiPath solutions in a live production environment
• Strong working knowledge of APIs
• Solid QA testing background, automated or manual
• At least 2 years' experience with Python automation, including APIs and Selenium
• Comfortable analysing data with Python (e.g. pandas) — desirable but not essential
• Practical experience using AI APIs (e.g. OpenAI, Claude, Gemini)
• Ability to maintain and update RPA scripts on an ongoing basis
• Experience integrating RPA workflows with Python via APIs
• Working knowledge of C#, Java, or PHP for troubleshooting and bug fixes — nice to have
• Strong problem-solving skills with close attention to detail
• Comfortable working in agile environments, managing multiple concurrent projects
• Strong communication and stakeholder management skills

Nice to have

• UiPath certification
• Bachelor's degree in Computer Science or a related field

Remuneration:

up to 3050 eur gross per month

Benefits: 

— 25 days paid vacation days 

— paid public holidays in the country of residence 

— Additional marriage leave 

— Additional paternity leave 

— 5 days of paid sick leave 

— 1 volunteer day 

— Professional development support 

— Department team building activities 

— HR support 

Zutobi is a global edtech product company that provides engaging and innovative digital solutions for driver education.

Our core product Zutobi Drivers Ed is an app and web-based learning platform that helps students to prepare for completing the permit test needed for getting a driver's license.

Now we are launching a new product Zutobi Instructor – a solution that is designed to simplify the daily operations of driving schools.  

We want to change the driving school industry by making the best driving school software in the world. 

Requirements:

– At least 3 years of experience as a Back End Developer.

– Experience with Python/Django/DRF.

– Experience working with Docker.

– Experience writing unit tests.

– Good problem solving, technical and data analysis skills.

– Good knowledge of best practices in software design and design patterns.

– Good Computer Science fundamentals.

– Upper-Intermediate (or higher) English level.

Responsibilities:
– Working in an international distributed team in an Agile environment.

– Designing and developing new product features as well as improving existing ones.

– Identify and troubleshoot bugs and performance issues.

– Write unit tests, API documentation in swagger.

– Participating in product discussion meetings and technical decisions.

– Documenting technical decisions and approaches.

Will be a plus:

– Experience working with relational and NoSQL databases.

– Experience working with Celery, RabbitMQ, Redis.

– Experience working with Cloud Services (Google Cloud Platform, AWS).

– Experience with performance improvements.

– Experience with PHP.

– Experience with Node.js/Express.

– Experience with Front End and/or Mobile Development.

What we offer:

• Absolute freedom to push boundaries, test new ideas, and fully leverage your expertise.
• A fully remote team with flexible working hours designed to support a healthy work-life integration.
• Enough paid vacation days and sick leave, ensuring you have the time to rest, recharge, and prioritize your well-being.
• Allocated budget for advanced professional courses and leadership training to support your ongoing growth.
   

We are looking for a Simulation Engineer to build and run the simulation tooling behind slot game mathematics within an iGaming product. You turn mathematical specifications into fast, reproducible, config-driven simulations, validate the results, prepare math validation reports, and support developers and QA during integration and testing. The mathematical model itself is owned by a Game Mathematician you will work with closely.
Prior iGaming experience is welcome but not required.

Responsibilities
- Build and maintain a config-driven simulation framework for slot games: reels /weights, paytables and feature parameters defined in configuration rather than in code.
- Make the tooling usable directly by the Game Mathematician, so balancing iterations can be run without engineering involvement.
- Run and analyze Monte Carlo simulations to validate RTP, payout distribution, volatility, hit rate and max win frequency, including convergence and confidence intervals.
- Prepare math validation reports generated from simulation runs, with reproducible results (seeded runs, versioned configurations) and result export.
- Generate the tables, configuration files and exports that accompany the mathematical documentation.
- Cross-check simulation results against analytical calculations and simplified known-answer configurations.
- Write and maintain tests for payout calculation logic, and regression checks on RTP across configuration changes.
- Support developers and QA during integration and testing phases: reconcile differences between the reference simulation and game engine test runs.

Optional / Additional Responsibilities
- Build visualization and reporting tools for payout distributions.
- Set up CI for simulation runs and automated regression on configuration changes.
- Participate in the full game lifecycle (from concept to release).

Requirements
- Strong Python at an engineering level: numpy, vectorization, profiling, working with large data volumes.
- Experience building config-driven, reproducible tools rather than one-off scripts, including seeded runs and versioned configurations.
- Applied statistics: confidence intervals, convergence, variance, and working with rare events and distribution tails.
- Ability to work precisely from a written technical specification, raising ambiguities rather than resolving them independently.
- Testing discipline: unit tests on calculation logic, and validation of simulated results against analytical values.
- Strong analytical thinking, attention to detail, and ownership of results.

Nice to Have
- Experience in iGaming or with casino game mathematics.
- Background in a domain involving applied probability: quantitative finance, actuarial work, sports betting, computational physics, or operations research.
- Performance optimization experience (Numba, Cython, C++ or Rust).
- Experience with CI pipelines for computational workloads.
- Understanding of compliance and regulatory requirements in iGaming.

We are looking for a Senior Full Stack Developer for our client, an Israeli AI startup building a platform for the publishing industry.

The company uses AI to analyze books and manuscripts, helping publishers and literary agents identify the books they are most interested in, while giving authors insights that can improve their chances of getting published.

The product sits at the intersection of AI, data, and user experience, turning complex manuscript analysis into practical tools used by publishing professionals and authors.

The Role

This is a highly independent, ownership-driven position.

You will work directly with the client’s CPO and take technical ownership of the product across backend, AI workflows, data pipelines, infrastructure, and the React application.

The role is backend-heavy, with most of your time focused on Python, APIs, data, AI integrations, and infrastructure. You will also work with the existing React application when needed.

The company is looking for someone senior enough to operate independently without relying on a dedicated tech lead or separate DevOps/backend teams.

What You’ll Own

* Backend APIs built with Python and FastAPI

* SQLAlchemy and Pydantic

* PostgreSQL, including data modelling, complex queries, performance, and scaling

* Integration and productionization of AI services and LLM APIs

* Data pipelines and Airflow DAGs

* AWS infrastructure, including ECS, RDS, S3, and boto3

* Docker, CI/CD, deployments, monitoring, and production troubleshooting

* Features and improvements in the React / Material UI web application

* Technical decisions across the product and infrastructure

What We’re Looking For

* Strong senior-level production experience with Python

* Strong hands-on experience with FastAPI

* Solid knowledge of relational data modelling, PostgreSQL and SQL

* Experience working with databases and APIs at scale

* Good understanding of API security, web protocols, and performance

* Practical experience integrating AI services or LLM APIs

* Hands-on experience with AWS

* Experience with Docker and CI/CD

* Experience with Airflow or similar data orchestration tools

* Ability to independently investigate and solve production issues

* Strong ownership mindset and comfort working in a small startup environment

* Ability to work effectively in English

Frontend expertise is not required. Product direction and design are handled by the CPO. However, you should be comfortable working with an existing React codebase and reviewing AI-generated frontend code when necessary.

Nice to Have

* LangChain

* Vector databases / vector search

* RAG

* AI/NLP product experience

* High-scale SaaS experience

* Previous startup experience

* Interest in books, writing, or publishing

We run an internal data platform behind a talent representation intelligence product that maps out the entertianment industry.
 

We are rebuilding the platform (legacy Symfony/Angular → Django + React) because the current system stores its most valuable data as unstructured text and can't support where the product is going. . This is not a greenfield toy and not a rescue job — it's a planned rebuild with an unusual amount of groundwork already done:

• A product & architecture document with the domain model decided: what each module means, what dies, what changes, and the conventions (append-only history, structured-at-entry, derived-values-never-facts, and more)
• An epic breakdown with dependency order and explicit definitions of done
• A decisions register — every product ruling logged, searchable, current
• Approved feature specs for the major new modules (representation history, deals/endorsements restructure, awards, drafts)
• A migration standard: raw-row archives, legacy-ID mapping, conflict review queues, rehearsed cutover — nothing silently dropped, nothing silently merged
   

Your job is to design and build within that system: propose schemas and migration plans per module (we call these build contracts — you propose, product approves, then you build), stand up the foundation (auth, field-level permissions, API-first architecture), build the cross-cutting primitives (audit log, unified sources, soft delete, lookups), and run a phased legacy migration where reconciliation counts get reviewed, not just produced.
 

How we work — read this part twice:

• The documents are the spec; the legacy code is not. Many current features are unused and several database tables are mislabeled (we've mapped this). When you hit a question about what something should do, you ask — you don't resolve it from old code. We answer questions daily, in writing, fast.
• Gates are real. Every epic starts with your proposed schema + migration plan; implementation starts after approval. Epics close when their definition-of-done closes — including a researcher completing the workflow without your help — not when the tasks are checked off.
• AI tooling is welcome and expected. We assume you'll use agents/copilots — we do. What we hire for is what the tools can't do: judgment. You verify what your tools produce against the real schema and the real data before it reaches us. "The agent said so" is not a source. (Our favorite recent bug: a generated diagram claiming a name column was an integer. The person who catches that is who we're hiring.)
• Evidence over memory. Unknowns get investigated — code usage, row counts, what breaks — and then ruled on. We don't guess.
  
  You're a fit if:
• Senior Django + React, with real ownership of at least one system end-to-end (schema through UI through deployment)
• You've done at least one legacy migration or system replacement and can talk concretely about what went wrong and what you'd do differently
• You read before you build — genuinely. Our last mismatch was a capable developer who never opened the app or the documents; the interview is designed to detect this, so if it's not you, save us both the call
• You're comfortable proposing designs to a non-engineer product owner who is deeply involved, defending them in writing, and being overruled on product grounds without sulking
• Strong written English; async-first habits; you leave a paper trail by default
• Bonus, not required: search infrastructure (Typesense/similar), data-pipeline/ETL work, having worked alongside scraper/ingestion systems, PostgreSQL depth

Langate is an award-winning provider of software development services across three primary domains: Healthcare, Business, and Education. We build digital products that solve complex business challenges and create measurable value for our clients. We take pride in our long-term partnerships with U.S.-based companies and our experience delivering scalable software solutions for the Healthcare industry.

We are looking for an experienced Technical Lead who can take ownership of the platform’s backend architecture and lead the technical execution of the engineering team. This role combines architecture, hands-on development, and team leadership. You will design complex backend solutions, decompose them into actionable tasks, support engineers during implementation, review code, and help maintain a high engineering standard across the product.

 

About the project:
 

We are building a large AI-driven platform for the Healthcare domain designed to automate Revenue Cycle Management processes, including billing, payment posting, data processing, and other operational workflows that have traditionally required significant manual effort.
The platform combines traditional workflow automation, data-processing and scraping components, and AI-powered agents capable of handling more complex business processes.

This is a long-term product where the Technical Lead will have significant autonomy and the opportunity to influence backend architecture, engineering practices, technical decisions, and the future direction of the platform.

Requirements:
 

• 6+ years of commercial software engineering experience
• Strong hands-on experience with Python backend development
• Strong commercial experience with Node.js and TypeScript
• Proven experience designing and implementing backend architecture for complex applications
• Experience building scalable, high-load, or high-throughput systems
• Strong understanding of software architecture principles, system design, scalability, reliability, and performance
• Experience designing systems that consist of multiple services, modules, or integrations
• Strong experience with relational databases
• Practical experience with cloud platforms such as Azure or AWS
• Experience leading developers, reviewing pull requests, mentoring engineers, and supporting their professional growth
• Strong problem-solving skills and a pragmatic approach to architecture
• Practical understanding of modern AI-assisted development tools and how to use them effectively throughout the software development lifecycle
• Upper-Intermediate English or higher

Nice to Have:
 

• Experience working on Healthcare products
• Experience working with Redis or similar caching and data-processing technologies
• Experience building AI-powered products, automation platforms, or agent-based systems
• Experience designing distributed systems using Python

Responsibilities:
 

• Own and continuously develop the backend architecture of the platform
• Design scalable, reliable, and maintainable technical solutions for complex product requirements
• Make architectural and technical decisions together with the Head of AI and other stakeholders
• Translate high-level product and business requirements into clear technical solutions
• Mentor developers and support their technical and professional development
• Improve system performance, reliability, maintainability, and observability
• Support the product as it moves further into production and scales across additional modules and business processes
• Promote effective use of AI and LLM-based tools within the engineering workflow

Tech Stack: Python, Node.js, TypeScript
 

Schedule: 5/2, 8-hour working day (40 hr per week), flexible schedule. No late meetings and overtime. 

Hiring Process: HR Interview + Technical Interview.

 

We offer:
 

• Competitive compensation
• B2B contract, paid sick leave, 20 days of paid vacation
• Free English lessons  
• Flexible work schedule  
• Official Ukrainian holidays are non-working days  
• Paid courses and certifications  
• Сoach / psychologist consultation  
• Workshops  
• Career development plan
• Mentoring Education  
• Medical Health Insurance
  
   

Why Choose Us? What Do We Offer that’s Exceptional?
 

1. Cutting-Edge Technologies on Real Projects: At Langate, you’ll work with the latest technologies on live projects. We’re a dynamic, fast-growing company, so you’ll find a minimal amount of legacy systems and plenty of opportunities to implement new technologies.
    
2. Work-Life Balance with Benefits: We value work-life balance and offer paid time off, including vacation days and sick leave. Remote work options and hearty life are part of the package too.
    
3. Investment in Your Growth: We’re committed to your professional development. You can expect training programs, courses, and opportunities to enhance your English language skills.
    
4. Team Building and Unity: We know that a happy team is a productive team. That’s why we organize team-building events and group activities to foster strong bonds and a sense of belonging.

When you choose us, you’re choosing a company that values innovation, invests in its employees, and provides a supportive and engaging work environment. Join us in shaping the future of technology!

Need more information? Welcome!

We’re expanding our team and looking for a Django/DRF Developer to join Dataforest. If you’re looking for a friendly team, a healthy working environment, and a flexible schedule — you’ve found the right place to send your CV.

You'll be a great fit if you have:

- 3+ years of experience with Django and it's components;

- Experience with RESTful APIs, DRF and related libraries;

- Experience with Celery and async task management;

- Experience with SQL and query optimisation;

- Experience of writing tests;

- Able to work independently and excellent in communicating challenges and issues;
 

Would be a plus:

- Experience with AWS services (EC2, API Gateways, Lambda, SQS);

- Experience with NoSQL databases (Redis, Elasticsearch, etc.);

- Experience of end-to-end implementation for new functionality;

- Experience with payment systems integrations (Stripe, Shopify, Recurly, Paypal, Braintree, etc.);

- Experience with chargeback management tools (Ethoca, RDR, CDRN, etc.);

- Understanding how to handle high load on projects;
 

What you'll do:

- Design, develop and maintain payment gateway and other integrations;

- Design and develop new features and maintain existing functionality.

- Design and develop web applications using Python/Django/Celery.

- Design, develop and maintain RESTful APIs using Django Rest Framework (DRF).

- Write clean and well-structured code that is easy to read and maintain;

- Write and maintain technical documentation.

- Write and maintain unit tests to ensure code quality.

- Optimize and maintain the security, performance, and usability of the applications.

- Collaborate with the PM/Frontend/DevOps/QA and others team members.

We ensure your growth with:

- Great networking opportunities with international clients, challenging tasks;

- Building interesting projects from scratch using new technologies;

- Personal and professional development opportunities;

- Competitive salary fixed in USD;

- Paid vacation and sick leaves;

- Flexible work schedule;

- Friendly working environment with minimal hierarchy;

- Comfortable, spacious and well-equipped office in the city center;

- Team building activities, corporate events.