Jobs Python

We build internal products and automation for our own teams to improve day-to-day business processes. Most tasks revolve around processing large datasets (millions of rows) and turning them into reliable, reusable outputs.

You'll work 50/50 between Python development and data work: building scripts/services and data pipelines, mainly with Pandas, plus some SQL and PySpark.

    What You'll Do

• Build internal tools and automation around data processing and reporting.
• Develop and maintain pipelines that ingest data from APIs and large files.
• Transform and validate data using Pandas; write clean, tested, maintainable Python.
• Use SQL mainly to extract data and for joins/aggregations when needed.
• Contribute to large-scale processing (PySpark/Spark) when applicable.

• Refactor and optimize existing scripts and pipelines; improve performance, readability, and reliability (tests/logging).

   

    What We're Looking For

• 2+ years of experience with Python in production.
• Strong Pandas: efficient transformations, joins/merges, memory/performance considerations.
• Solid engineering habits: tests, code review, debugging, and readable code.
• Working knowledge of SQL (MS SQL Server is our primary DB, but any RDBMS is fine).
• Comfortable with Linux and Git; daily tooling skills (e.g., VS Code).
• Excellent organizational and task management abilities.
• Self-motivated with the ability to work independently.
• Good written and spoken English communication skills.

    Nice to Have

• PySpark/Spark and/or Hadoop exposure; distributed processing concepts.
• Azure experience (storage/compute) or participation in on-prem → cloud initiatives; workflow orchestration is a plus.
• Data modeling fundamentals and basic ML understanding; а portfolio (GitHub/website) or examples of end-to-end projects/products (clean repo structure, README, tests) is a plus.

Responsibilities

• Extract Revit and IFC model data—properties, parameters, type/instance data, and relationships—using Autodesk Platform Services APIs
• Transform extracted model data into structured, analysis-ready formats such as Parquet, JSON, or CSV
• Process and manage derived geometry data (SVF/SVF2, OBJ, STL, IFC) for downstream analysis and visualization
• Build and maintain geometry data checks, including proximity/clash detection, bounding-box and volume validation, missing-element detection, and parameter completeness
• Run IFC quality checks to validate schema conformance, property-set completeness, and geometry integrity
• Develop and operate robust data ingestion pipelines, handling asynchronous translation jobs, webhooks, retries, and large/heavy models
• Map BIM data semantics onto the platform’s structured data model and identify API coverage gaps
• Collaborate with data, engineering, and AEC domain teams to ensure extracted data accurately reflects model intent
 

Required Skills

• Strong backend/data engineering skills in Python
• Experience with Autodesk Platform Services (APS) APIs (Model Derivative, Data Management)
• Proficiency in extracting and transforming BIM data from Revit and IFC models
• Familiarity with IFC schema, Revit property/parameter structures, and BIM data semantics
• Ability to handle and process geometry data (meshes, transforms, spatial queries)
• Experience with data formats such as JSON, Parquet, and CSV
• Knowledge of analytical/columnar data querying
• Experience with asynchronous pipelines, webhooks, and cloud-based data processing
• Familiarity with tools like trimesh, shapely, IfcOpenShell, or xBIM
• Git proficiency for version control

Responsibilities

• Architect and implement backend systems for AI agent orchestration, including workflow logic, task routing, and error handling
• Design and build scalable, containerized microservices to support real-time data processing and high-concurrency requests
• Develop secure API gateways and data access layers for integration with enterprise systems such as SAP S/4HANA, Ariba, and external data providers
• Create backend logic for knowledge retrieval, including integration with vector databases and retrieval-augmented generation (RAG) models
• Construct connectors for external data feeds, managing rate limiting, caching, and data normalization
• Implement security controls such as authentication, RBAC, and data redaction to meet defense-grade requirements
• Optimize backend systems for on-premise and air-gapped deployments, ensuring efficient resource usage and reliability
• Establish comprehensive logging, monitoring, and observability to support operational excellence and compliance
• Collaborate with cross-functional teams to deliver robust, production-ready backend solutions for AI-driven platforms
   

Required Skills

• Expert proficiency in Python (FastAPI or Django)
• Strong experience with Go or Java for high-performance microservices
• Deep knowledge of Docker and Kubernetes for containerization and orchestration
• Advanced skills in designing RESTful APIs and gRPC services
• Experience building and managing API Gateways (e.g., Kong, NGINX)
• Proficiency with PostgreSQL and vector databases (e.g., Weaviate, Milvus)
• Familiarity with enterprise integration protocols (OData, SOAP)
• Strong understanding of authentication, RBAC, and data security best practices
• Experience deploying and optimizing systems in on-premise or air-gapped environments
• Proven ability to implement logging, monitoring, and observability in production systems

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

We are looking for a Software Engineer (Python)!

Requirements:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field;
• 5+ years of experience in software engineering;
• Strong proficiency in Python, with experience with other programming languages;
• 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:

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

Responsibilities:

• Develop and maintain robust, scalable web applications;
• Design and implement efficient High Load APIs;
• Ensure high performance and responsiveness of applications;
• Implement security measures and data protection in line with industry standards;
• Participate in 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 benefits to you:

☘️An exciting and challenging job in a fast-growing business group, 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

✈️In-house Travel Service

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers and more

🎳Other benefits could be added based on your location 
 

🚀 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

📍 About the Product:

We are building and scaling a mature, data-intensive B2B SaaS platform used by enterprise customers across multiple markets. The platform supports a diverse range of enterprise use cases across operational planning, information analysis, case management, and cross-team collaboration.

The product brings together large volumes of structured and unstructured data, domain-specific analytics, and configurable workflows to help users investigate complex cases, collaborate effectively, and make timely operational decisions.

About the Role:

We are looking for a Senior AI Engineer to design, build, and deliver reliable AI-powered capabilities as part of an established production platform.
You will work at the intersection of backend engineering, generative AI, and product development. Your responsibilities will cover the full delivery cycle - from exploring ideas and validating technical approaches to building production services, evaluating output quality, and improving solutions based on real-world usage.
This is a hands-on engineering role with significant ownership. You will have the opportunity to influence architectural decisions, engineering practices, and the broader adoption of AI across the product while working closely with engineering, product, and other cross-functional teams.

📍 Key Responsibilities:

• Design, build, and deploy production-grade AI applications using LLMs, RAG, and agentic workflows.
• Build and optimize autonomous AI agents capable of planning, using tools, making decisions, and solving complex operational tasks.
• Build and operate LLM-powered product features, covering retrieval, orchestration, tool use, quality assessment, and production monitoring.
• Develop methods and tooling for assessing AI quality, diagnosing failures, monitoring behavior, and improving performance over time.
• Build scalable Python backend services and integrate AI capabilities with distributed production systems.
• Collaborate with data and product teams to productionize new AI capabilities, taking them from experimentation to reliable real-world use.
• Own technical decisions and drive AI engineering best practices and engineering standards for building, testing, releasing, and maintaining AI-enabled software.

📍 Required Competence and Skills:

• 7+ years of software engineering experience with 1.5 years of hands-on experience building production AI applications, with proven experience delivering agentic AI systems used by real users.
• Strong software engineering background in Python or another backend language (Golang, Java, Rust, etc.), with the willingness to work primarily with Python. 
• Hands-on experience building agentic AI systems using frameworks such as LangChain, LangGraph, or similar.
• Experience deploying and operating production AI services in cloud environments, with a proven track record designing scalable, event-driven architectures using cloud messaging technologies and SQL or NoSQL databases. Experience with AWS is an advantage.
• Experience connecting AI services to existing backend systems and application interfaces.
• Experience taking AI applications from development to production and collaborating with platform engineering teams on deployment and operation.
• Experience ensuring production AI systems are reliable, secure, observable, and ready for mission-critical use, including monitoring and incident response.
• Excellent communication skills, autonomy, and accountability in ambiguous, high-velocity environments.

Nice to Have:

• Experience with React.js and full-stack development, with the ability to contribute to frontend development when needed.
• Experience with vector databases and similarity search in production AI applications.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

About us:
Farsight Vision develops AI-powered geospatial intelligence solutions for defence and security operations. The platform transforms raw aerial and sensor data into real-time 3D environments, actionable analytics, and AI-assisted operational scenarios, enabling enhanced situational awareness, mission planning, and faster decision-making for both human operators and autonomous systems. We operate at the intersection of geospatial data, computer vision, and defense operations – and if that interests you, read on.

Responsibilities:
- Design, develop, and deploy production-ready computer vision algorithms for image and video analysis in GIS-related applications
- Build end-to-end perception pipelines – data collection, preprocessing, model development, deployment, and monitoring
- Integrate CV components into operational products in close collaboration with cross-functional engineering teams
- Optimize algorithms for performance, reliability, and scalability in real-time and resource-constrained environments
- Develop and deploy Visual Place Recognition (VPR) systems for geo-localization and scene understanding tasks
- Implement and optimize CV algorithms on embedded and hardware-accelerated platforms, ensuring stable and efficient inference at the edge
- Process and analyze large-scale datasets for model training, validation, and continuous improvement
- Diagnose and resolve complex issues across computer vision applications in production
- Contribute to internal research, exploring emerging techniques in image synthesis, manipulation, and applied ML.

Requirements:
- Expert-level Python – this is our primary engineering language. You must be comfortable writing clean, efficient, production-quality Python code
- 5+ years of hands-on experience in computer vision and applied machine learning
- Deep working knowledge of core CV and ML libraries: OpenCV, PyTorch, TensorFlow, and related tooling
- Solid understanding of machine learning, deep learning, and model development workflows end-to-end
- Hands-on experience with Visual Place Recognition (VPR) algorithms and techniques, including descriptor-based retrieval, sequence matching, and localization under varying conditions
- Proven ability to port, optimize, and run CV/ML models on embedded devices and edge hardware (e.g., NVIDIA Jetson, Raspberry Pi, or similar platforms)
- Proven experience with image processing, model training, and evaluation methodologies
- Ability to translate research into reliable engineering outputs with minimal supervision
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field – or equivalent demonstrable experience
- Strong analytical thinking and clear communication in a cross-cultural, fast-moving team.

Would be a plus:
- Experience with graphics APIs: OpenGL, OpenGLES, or Direct3D
- Background in graphical algorithms, 3D rendering, or computational geometry
- Familiarity with embedded systems or hardware-accelerated proces

Unidatalab is looking for motivated and ambitious students or recent graduates who are eager to take their first step into the world of AI-driven technologies. 

About the Client:

Our client develops an AI-powered voice solution for quick-service restaurants. The product combines NLP, speech recognition, and noise-cancellation technologies to automate drive-thru ordering. As a result, restaurants can significantly reduce wait times, improve order accuracy, increase operational efficiency, and enhance overall customer satisfaction. 

👉🏻 It's a product company; you'll be fully integrated into the client team, working with them directly through Unidata.

Who We’re Looking For:

• 3rd+ year students or recent graduates in Computer Science, Software Engineering, or related fields; 
• Confident Python knowledge and readiness to work with system configurations & low-code tasks;
• Upper-Intermediate spoken English, as the role requires daily communication in English; 
• Readiness to work full-time (8 hours/day); 
• Strong soft skills: responsibility, communication, proactivity, and good organisation. 

Tech stack: Python (YAML, JSON, pytest), Poetry, Git/GitHub. 

Hiring Process:
Call with Recruiter → Small Test Task on LeetCode → Interview with the HR from the Client's side (in English) → Practical task to become familiar with the product & Client Interview (in English) → Offer. 

Why Join Us: 

• Working with the real AI product; 
• Flexible, remote-first environment; 
• Paid vacation, sick leaves & holidays.

The family-style company is looking for a talented Full-Stack Developer (Python / Angular) to join our team. If you are looking for an awesome team, send us your CV!

About the Project
The project is a SaaS platform developed by a Polish company for healthcare visit scheduling and field service management. It focuses on optimizing workflows, managing visits, and enabling efficient communication through real-time features and system integrations.

What We’re Looking For:

• Python / Django: Experience with Django, DRF, and Django Ninja backend development
• PostgreSQL: Strong knowledge of relational databases and data modeling

Nice-to-Have:

• GraphQL / Real-Time: Hasura, Apollo Client, Redis, Django Channels, WebSockets
• Experience with Front-End frameworks such as Vue.js, React, or Angular
• DevOps: Docker, Docker Compose, GitLab CI/CD, OpenTelemetry
• Native Mobile (Bonus): Swift/iOS or Java/Android experience, especially with Capacitor plugins, video calling, and push notifications
• Third-Party Integrations: Twilio, Firebase, APNS, healthcare SOAP/XML APIs
• Analytics: SalesManago SDK

What we offer

• Opportunity to work remotely, or in a hybrid format
• Flexible schedule, start your workday anytime between 08:00 and 11:00, whatever works best for you
• Work equipment provided (if needed)
• Minimal bureaucracy, focus on work.
• Conferences, meetups (we support your professional growth)
• Sane and polite, but effective management
• The best corporate culture (according to our teammates' opinions)
• Competitive salary and other stuff
• Becoming a part of UKAD with unique value and long-term relationships
  
  Some facts about UKAD to help you make a decision

During 2022-2025, we only increased cooperation with our foreign partners

UKAD combines the benefits of family-sized companies, like no bureaucracy, easy access to the executives, with sustainable growth and vast opportunities

Our company is strong enough to be not just a vendor but a tech partner. We can afford to choose customers that respect developers

UKAD is one of the leading employers in Kharkiv, according to DOU

We never hire people for projects, but to build the team, so if the project ends, you remain a part of UKAD.

Aren't we the company you're looking for?

Numerical Technologies LTD is a provider of custom software solutions and services specializing in risk, limits, and regulatory capital. We are currently looking for a Senior Python Developer to join our team. 
 

Project: Portfolio management systems for a US financial institution. 

What you will be doing:  

As part of the team, you will be participating in a client project focused on portfolio management solutions. You will help develop new software features, as well as support and maintain existing ones. You will be writing scalable and fault-tolerant code, debugging programs, and integrating applications with third-party web services. You will be collaborating closely with the client and product manager to understand the system’s functional and non-functional requirements, and contribute to code quality through unit testing, integration testing, code review, and system design using Python to build robust software that aligns with the client’s business needs. 

What we are looking for:  

• A strong programming background with Python and OOP skills.
• Deep understanding of algorithms and data structures.
• Experience building backend systems and working with REST APIs.
• Proficiency with SQL databases.
• Experience with FastAPI and Linux environments.
• Strong problem-solving skills and ability to collaborate effectively in a team environment.
• Upper-Intermediate level of English or above. 
• Experience with React and AWS is a plus. 

What we offer: 

• Competitive compensation depending on experience and skills. 
• Regular assessments and salary reviews. 
• Paid personal days. 
• Mental health support program. 
• Language classes. 
• Flexible working schedule. 

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: You will take ownership of the search infrastructure for Ask Seeking Alpha — a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques.

Tech Stack: Elasticsearch (v8+), Python (FastAPI, Asyncio), OpenAI Embeddings, LangChain, LangSmith.

The Senior Search Engineer will be engaged with the company as a contractor (Private Entrepreneur).

What You'll Do

• Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
• Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
• Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
• Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
• Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.

Requirements

• Elasticsearch Expert: 5+ years of experience working with Search Engines in production. You understand how indices, analyzers, and mappings work "under the hood."
• Search Theory: You understand the difference between Lexical Search (keywords) and Vector Search (meaning), and know when to use which.
• Python Proficiency: Strong experience with Python 3.10+. You are comfortable writing asynchronous code (async/await) and building APIs.
• Data Engineering: Experience designing data schemas for search (how to structure JSON documents for efficient retrieval).

Nice to Have

• Experience building RAG (Retrieval-Augmented Generation) pipelines.
• Familiarity with LangChain or similar LLM frameworks.
• Experience with Evaluation tools (like LangSmith) to test search quality automatically.
• Background in Finance (understanding tickers, earnings calls, etc.).

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: We are developing Ask Seeking Alpha — a high-load financial analysis system based on Large Language Models. The architecture is built on complex multi-agent orchestration using LangGraph, FastAPI, and Elasticsearch.

We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.

The Senior Python AI Engineer will be engaged with the company as a contractor (Private Entrepreneur).

Tech Stack: Python (Asyncio), FastAPI, LangChain, LangGraph, Pydantic, Elasticsearch, AWS Bedrock / OpenAI API, LangSmith.

What You'll Do

• Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
• Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
• Performance Optimization:

-Reduce end-to-end latency through asynchronous processing and streaming (SSE).

-Implement semantic caching strategies to minimize API costs and response time.

-Optimize token usage without sacrificing answer quality.

• Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
• Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.

Requirements

• Python Expert: Strong proficiency in modern Python. Deep understanding of asynchronous programming (asyncio) patterns is mandatory, as our entire I/O pipeline (Network, DB, LLM) is non-blocking. Experience with FastAPI and Pydantic (v2).
• Agentic Frameworks: Production experience with LangChain. Hands-on experience or deep conceptual understanding of LangGraph (or similar state-machine-based agent frameworks).

Deep LLM Expertise (What we mean by "Deep"):

• Non-determinism Management: Strategies for handling LLM hallucinations and ensuring reliable outputs (e.g., self-correction loops, specific prompting techniques like CoT/ReAct).
• Structured Outputs: Experience forcing LLMs to adhere to strict schemas (Pydantic/JSON mode) for reliable downstream processing.
• Context Optimization: Advanced strategies for managing limited context windows (summarization chains, sliding windows, selective context injection) beyond simple truncation.
• Inference Economics: Understanding the trade-offs between model size, latency, and cost (e.g., when to route to GPT-4 vs. a smaller/faster model).

Nice to Have

• Experience with Elasticsearch (DSL queries, analyzers).
• Knowledge of vector databases and embedding models.
• Background in FinTech or familiarity with financial data structures.

Keymakr is a leading provider of high-quality data annotation services for machine learning and artificial intelligence applications. We specialize in delivering accurate and scalable annotation solutions that empower businesses to develop cutting-edge AI models. Our team is dedicated to excellence, innovation, and customer satisfaction.

We are looking for a motivated Junior Python Software Engineer to help build, maintain, and improve internal tools and services. This role offers a great opportunity to grow your technical skills while contributing to real-world projects and automation processes.

Technical Skills:

• 2+ years of experience in Software development  
• 1+ years of practical experience with Python.
• Knowledge of RESTful API design and implementation.
• Experience in scripting and automating workflows, including working with APIs for task automation.
• Understanding of software design principles, particularly SOLID.
• Basic knowledge of Linux systems and familiarity with the Linux command line.
• Proficiency with version control systems (e.g., Git, GitHub, Bitbucket).
• Practical experience with web frameworks like Flask, Django, or FastAPI.
• Familiarity with Celery, Redis, and RabbitMQ.
• Hands-on experience with containerization tools like Docker.
• Skilled in writing unit and integration tests.
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP)

Problem-Solving Skills:

• Strong analytical thinking and problem-solving capabilities.
• Ability to debug, troubleshoot, and optimize code effectively.

Nice-to-Have Skills:

• Basic understanding of frontend technologies (HTML, CSS, JavaScript).
• English at an intermediate level or higher (to read and understand technical documentation).
• Familiarity with Agile development methodologies.
• Understanding of CI/CD pipelines and DevOps practices.

Responsibilities:

• Developing and maintaining tools and applications for the company’s infrastructure.
• Designing, supporting, and maintaining internal services.
• Transforming and storing data in various formats (e.g., JSON, XML, CSV).
• Automating workflows using APIs.
• Researching, configuring, and integrating third-party software into company processes.
• Providing general IT support and troubleshooting.

About us
We are a product R&D company that creates solutions for the dynamic iGaming Ecosystem.
Our mission is to build cutting-edge platforms that reinvent the iGaming industry.
 

About the team

We are a focused engineering team of 5 to 9 people at a multi-product tech SaaS company. We work across personalization, recommendation, fraud detection, and some GenAI, through real-time, near-real-time, and batch
pipelines. The team is a blend of Python backend engineers, ML engineers, QA (manual and automation), a data engineer, and data scientists. Our shared mandate is to take experimentation from our data scientists and turn it into
robust, production-grade systems, either as standalone services or integrated into wider platforms.

The role

You will be a senior engineer on the team, building and operating backend systems and setting a high bar through your work. You will contribute significantly to architecture and technical direction and strongly influence how we build, working alongside other senior engineers and a hands-on engineering manager, while staying hands-on across the hardest problems. The systems you work on are either part of a larger SaaS backend or run as standalone services: batch and event-driven pipelines, stream consumers, feature stores, REST APIs, and background workers.
 

 Responsibilities

• Contribute significantly to the architecture and implementation approach for the team's backend systems, and influence technical direction
• Design and build production Python services: APIs, stream consumers, pipelines, feature stores, background workers
• Set and uphold engineering standards: code quality, testing, observability, deployment discipline
• Take ownership of deployment and release, partnering with DevOps on Docker, Kubernetes, and CI/CD
• Productionize data scientists' experimentation into reliable services
• Raise the technical bar through review, mentorship, and example
• Take part in the team's on-call rotation for the systems you build and operate
• Partner with product and business stakeholders to shape and scope work

 
Requirements

• 5+ years of backend engineering experience
• Strong Python: async, data processing, Redis, Kafka, and database clients, PySpark
• Strong relational database skills, plus Redis and Kafka (design and performance tuning)
• Good working knowledge of Docker, Kubernetes, and CI/CD, enough to partner well with DevOps
• Experience contributing to and influencing architecture and implementation approach for a team
• Deployment and release ownership
• Product mindset, comfortable speaking to customers and business stakeholders

Nice to have

• Databricks experience
• Experience building LLM-powered systems, including human-in-the-loop and agentic workflows
• Fraud detection, recsys, or personalization systems experience
• Prometheus and Grafana
• SaaS or high-scale product domain experience

Why join us

• Work on high-scale, high-throughput backend systems
• Broad range of technologies, stacks, and problems
• Take experimentation from data scientists and turn it into production systems
• A strong engineering culture that values technical depth and ownership
• A distributed team across Dubai and Europe

You will get:

• Work in a technically strong environment with modern stack and mature Agile culture;
• High autonomy, decision-making authority, and close cooperation with leadership;
• A position in a product development company with a dynamic environment and several concurrent projects;
• Opportunity to contribute (your ideas for improvement implementation);
• Continuous self-improvement and growth, including budget for certifications and courses;
• Competitive salary plus annual bonus, based on individual, team, and company performance;
• Company prepaid AI agent;
• Medical insurance coverage;
• English language courses;
• Wellbeing package: online-yoga classes, Yakaboo, BetterMe App: Health Coaching, BetterMe App: Mental Health;
• Corporate events and fun team-building activities;
• Remote-first culture (with a possibility to work from our Kyiv office)
   

Interview Stages:

1. HR Interview (30-45 minutes) — Initial conversation to discuss your experience, career goals, and cultural fit.
2. Technical Interview (1 hour) — In-depth technical interview covering relevant skills.
3. Technical Design Interview (LLD/HLD) (1 hour) — In-depth technical interview covering relevant skills.
4. Final Interview (1 hour) — A comprehensive discussion with the hiring manager, focusing on role-specific competencies and alignment with company values.
5. Reference Check & Job Offer

About the role

Gogloby is hiring a Junior Software Developer to work on products for gogloby.com using cutting-edge AI technology. You will spend 100% of your working time on hands-on software development, supported by a small team and an AI-first development process.

Recent graduates are welcome. The role is designed for someone with strong fundamentals, visible energy, curiosity, and the discipline to grow quickly through real product work.

What you will do

• Design, build, test, debug, and maintain production software using Python and JavaScript.
• Work across backend, frontend, databases, and API integrations according to product priorities.
• Use AI development tools such as Claude Code, Cursor, and GitHub Copilot as part of the daily engineering workflow.
• Write and refine prompts that help generate, review, troubleshoot, and improve code.
• Contribute to products built with REST APIs, relational databases, and both monolithic and microservices-oriented architectures.
• Investigate issues independently, ask useful questions, and bring possible solutions or new ideas to the team.
• Handle changing priorities and parallel tasks without losing ownership, communication, or delivery discipline.
• Collaborate transparently in a small, fully remote startup team.

Required qualifications

• Education: Bachelor's degree (Bc.) or higher in Computer Science.
• Experience: 1+ year of professional software development experience. Recent graduates are encouraged to apply.
• Core languages: Working knowledge of Python and JavaScript.
• Software fundamentals: Understanding of SQL, relational databases, REST APIs, and the concepts behind monoliths and microservices.
• AI-first development: Comfort using AI coding assistants and following an AI-first software development process.
• Prompt engineering: Ability to write clear, structured prompts and iterate based on results.
• English: Strong spoken and written English for daily remote collaboration.
• Work habits: Discipline, punctuality, openness, transparency, teamwork, and a strong desire to study and improve.
• Availability: Ability to commit to a full-time, 40-hour workweek without conflicting employment obligations.

Nice to have

• Experience with Java, React, Next.js, or Node.js.
• Personal, university, open-source, or pet projects related to AI.
• A portfolio, GitHub profile, demo, or technical write-up showing what you have built and learned.
• Experience shipping a small project end to end, even outside formal employment.

Compensation and working conditions

• Compensation in USD
• Fully remote from Ukraine
• Unlimited PTO, coordinated with the team
• Startup pace, changing priorities, small team, high learning curve

About us

Farsight Vision converts flight footage into digital 2D and 3D twins for real-time intelligence in GNSS-denied environment, making analytics and situational awareness convenient and accessible while saving time and effort. We create multi-layered digital twins of terrain with dynamic tracking and object/landscape monitoring and predicting.

As a Senior Python Software Engineer, you will be a core part of our technology team, responsible for building and maintaining the backend infrastructure of the FSV Platform. You will work with cutting-edge technologies, including Python-based frameworks, cloud services, and machine learning operations (MLOps), to develop a platform that processes and analyzes drone data to create 3D models and orthophotos. Your role will involve not only backend development but also basic DevOps tasks and collaboration with frontend teams, making this a dynamic and versatile position.

If you thrive in startup environments, are proactive, and enjoy solving complex problems, this position offers an exciting opportunity to contribute to an innovative platform and grow alongside our ambitious team.

Responsibilities

• Design and own backend services for the FSV Platform — API design, data models, and the pipelines behind orthophotos, 3D models and detections.
• Architect and operate hybrid CPU/GPU workloads: queue, schedule and scale heavy processing jobs, keep throughput predictable and cost per job under control.
• Deploy and run compute-heavy services in production, including ML models delivered by our ML team — packaging, versioning, monitoring, redeployment.
• Work with the platform's cloud infrastructure, ensuring efficiency, scalability and reliability.
• Use AI coding tools daily, and review, test and stand behind every line that ships. We judge output the same way regardless of whether a human or a model wrote it.
• Evaluate new tools and protocols: run a small PoC, measure it, and bring the team a reasoned recommendation rather than a link to a hype thread.
• Debug and improve a system that runs in the field, where degraded connectivity and GNSS-denied conditions are the normal operating mode, not an edge case.
• Work closely with ML, frontend and field teams; occasionally pick up a frontend task when it unblocks delivery.
• Requirements
• 5+ years in software development.
• Strong Python (3+ years) with Django — this one is non-negotiable. Familiarity with Flask, FastAPI or Celery is a plus, but Django is what our platform runs on.
• Experience architecting compute-heavy systems: splitting CPU and GPU work, orchestration and queueing (Celery, RabbitMQ, Kubernetes, Ray or similar), batching, and the trade-offs around GPU memory and throughput.
• Solid AWS or equivalent, including GPU instances, large-media storage and cost control.
• DevOps fundamentals: Docker, CI/CD, deploying and managing environments.
• Daily work with AI assistants (Claude Code, Cursor, Copilot) and an explicit personal process for validating their output — tests, benchmarks, reading the actual docs or source. We will ask you to walk us through it.
• A habit of following releases and new tooling, plus the judgment to separate what's worth adopting from noise. Be ready to name two things you started using in the last six months and why.
• Basic React — able to assemble a simple project independently.
• Experience in a fast-paced startup: ambiguous requirements, high ownership.
• Nice to have
• Experience deploying and maintaining ML models in production (inference services, model versioning, monitoring).
• Geospatial / photogrammetry stack: GDAL, COG, tiling, point clouds.
• CUDA, TensorRT, ONNX, model optimisation for constrained hardware.
• Real-time video stream processing.
• On-prem or edge deployment.
• Defense tech or dual-use background.

Security Eligibility

Our platform is actively used by the Armed Forces in live operations. As an Estonian-Ukrainian defense technology company handling sensitive operational data, we have a responsibility — legal, ethical, and practical — to ensure the integrity of everyone on our team. All candidates must be able to confirm the following:

• Neither you nor your close relatives (parents, spouse, siblings, children) reside in Russia, Belarus, or temporarily occupied Ukrainian territories
• You have no regular personal, financial, business, or professional contact with individuals in those territories
• You consent to a deeper security verification if the process advances to later stages

If any of the above criteria are not met, please do not proceed with your application.

Why us

• With us, you will become part of a team of professionals who strive to contribute to the development of advanced technologies.
• We value teamwork and create an atmosphere of mutual support where everyone can unleash their potential.
• Flexible work schedule.
• Paid vacation and sick days.

Hiring process

• Technical Interview.
• PM & C-level management Interview.