Jobs Python

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.

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.

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

At P2Bid, we build multiplayer games where every game mechanic is powered by a fast, reliable, and scalable backend.
 

We're looking for a Senior Python Developer with 5+ years of commercial Python experience, including 3+ years building asynchronous backend services under real production load.
 

About the role:

We're looking for an engineer who goes beyond implementation and takes ownership of technical decisions.

You'll be responsible for designing and evolving core backend services, owning critical parts of the system, reviewing code, and helping shape the technical direction of the product. We value engineers who think about reliability, scalability, maintainability, and long-term architecture—not just delivering features.
 

Requirements

• 5+ years of commercial Python development experience.
• 3+ years building high-load asynchronous backend services.
• Strong knowledge of Python 3.11+, async/await, the event loop, and asynchronous programming principles.
• Hands-on experience with asynchronous web frameworks such as FastAPI, Starlette, aiohttp, Litestar, or similar.
• Deep understanding of asyncio: gather, TaskGroup, task cancellation, timeouts, backpressure, and concurrency patterns. You understand why a silently failed background task is a production incident.
• Strong typing as a standard development practice. Experience with mypy or pyright, Protocols, Generics, and modern Python typing.
• Excellent SQL skills, including JOINs, indexes, transactions, and extensive experience with PostgreSQL.
• Strong understanding of PostgreSQL locking mechanisms (FOR UPDATE, SKIP LOCKED), transaction isolation levels, deadlocks, and query execution plans.
• Experience with SQLAlchemy (ORM or Core) or another mature ORM.
• Confident writing automated tests with pytest, fixtures, parametrization, and dependency mocking.
• Experience working with Docker, Git, and code reviews through Merge/Pull Requests.
• Production experience with message brokers such as Kafka, RabbitMQ, NATS, or similar. You've debugged real production issues—not just studied the concepts.
• Practical experience building distributed systems, including at-least-once delivery, idempotency, deduplication, and understanding why exactly-once delivery is not achievable over the network.
• Experience working with business-critical domains such as payments, billing, accounting, order management, inventory, or any system where mistakes have financial consequences.
• Strong understanding of failure scenarios. For example, you know how to handle cases where a request was sent but no response was received—and why a naive retry may be worse than a failure.
• Ability to perform meaningful code reviews, focusing on architecture, reliability, maintainability, and engineering quality—not just code style.
• English sufficient for reading technical documentation, writing code comments, and technical documentation. Spoken English is a plus but not required.
   

Tech Stack

• Python 3.12
• FastAPI
• PostgreSQL
• MongoDB
• NATS / JetStream
• Docker
• Kubernetes

We also use dishka (dependency injection), adaptix (mapping), FastStream (message broker abstraction), ty (typing), and uv (dependency management). You don't need prior experience with these libraries—they're based on familiar concepts and are easy to learn. During interviews, we focus on your understanding of asynchronous programming, SQL, distributed systems, and engineering trade-offs, not on knowledge of specific libraries.
 

If you meet most of the requirements, we'd love to hear from you—even if some technologies in our stack are new to you.

Domain: Banking & Finance
Experience: 5+ years
Project Duration: August, 2026 – November, 2026(to be extended)
Format: Hybrid
Location: Kraków, Poland

About the Project

We are looking for a Python Developer with AI expertise to join a team of engineers building strategic AI and machine learning solutions that are transforming the Credit and Lending industry.

Working in a dynamic, innovative, and well-established environment, the selected specialist will collaborate closely with business stakeholders to deliver impactful, production-grade AI solutions.

This role is a great fit for an engineer who enjoys leading technical initiatives and applying modern AI technologies to solve complex business challenges.

Responsibilities

• Design, develop, and maintain clean, scalable, and well-tested software solutions
• Lead the architecture and implementation of AI/ML systems, ensuring reliability, scalability, and alignment with long-term platform goals
• Take ownership of major AI initiatives from solution design through deployment and operationalization
• Support and mentor other engineers, promoting engineering excellence, collaboration, and continuous learning
• Help define and promote engineering standards, AI governance practices, and responsible AI principles across the organization
• Contribute to the technical roadmap by researching, evaluating, and prototyping emerging technologies, including advanced RAG approaches, LLM optimization techniques, and agent-based systems
• Collaborate with cross-functional stakeholders to translate business needs into effective technical solutions and clearly communicate complex concepts
• Build advanced AI-powered applications using Retrieval-Augmented Generation (RAG), vector databases, and large-scale financial datasets

Requirements

• 5+ years of strong commercial experience with Python
• At least 6–12 months of hands-on experience within the broader AI/ML ecosystem
• Practical experience with relational databases such as PostgreSQL, vector databases, key-value stores such as Redis, and Pub/Sub messaging systems
• Deep understanding of microservices architecture, API design, observability, and concurrent/distributed systems
• Ability to make and drive architectural decisions in complex technical environments
• Strong knowledge of modern LLM architectures and hands-on experience adapting and fine-tuning models for domain-specific use cases
• Practical expertise in Retrieval-Augmented Generation (RAG), prompt engineering, and related generative AI techniques

Nice to Have

• Exposure to Java, particularly for integration and middleware-related tasks

Tech Stack

• Python
• AI / Machine Learning
• PostgreSQL
• Redis
• Microservices
• APIs
• LLMs
• RAG

Location

• Hybrid from Kraków, Poland
• Important: the client requires office visits in Kraków 8 days per month

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

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.

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 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.

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.

About Digis

We are a European IT company with 200+ specialists delivering SaaS platforms, enterprise solutions, and cloud-native products for clients worldwide. We focus on building strong, long-term teams and supporting continuous professional growth.

About the Project

A fast-growing SaaS company developing a Unified API platform that helps software vendors connect their products with financial and business tools.

The platform enables seamless data synchronization across accounting, finance, and other SaaS systems, helping businesses reduce data silos and expand their integration capabilities. You will contribute to the product’s development, architecture, and future technical direction.

Responsibilities

• Scale and optimize the case detection scanner to improve its performance and reliability.
• Decompose the existing API into multiple independent and scalable services.
• Set up a local development environment for emulating Google Pub/Sub and Cloud Run.
• Design and develop an integration connector for Sage.

Requirements

• 5+ years of professional experience with Python.
• 2+ years of hands-on experience with FastAPI or Flask.
• 1+ year of experience with SQL.
• Upper-Intermediate English or higher.

Why This Project Is Exciting

• Autonomy: A results-oriented environment built on trust.
• Product Impact: An opportunity to contribute to the product and its technical direction.
• Stable and Growing Product: Work on an established SaaS platform with international clients.
• Professional Growth: Gain experience with financial integrations and scalable API solutions.

We Offer

• 20 paid vacation days per year.
• 5 paid sick days per year with no medical documentation required.
• A personalized development plan supported by individual professional growth goals.
• Compensation for professional and subject-matter training.
• Necessary work equipment and workplace setup support, if needed.
• Assistance with selecting English courses and compensation for course fees.
• A horizontal organizational structure with open and transparent communication.
• Opportunities to switch between projects and technologies within the company.
• Accounting support.

• • Free access to corporate psychologist services.

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.
 

Our client’s product is a cloud-based financial planning and analysis (FP&A) platform designed for SMBs, transforming manual monthly and quarterly reporting into automated, scalable processes. Solution connects to organizational systems such as ERP, CRM, HRIS, and complex Excel files, consolidating all data into a single cloud-based database. Product automates critical financial transformations including FX conversions, eliminations, hierarchies, financial adjustments, and more while allowing end-users to continue working in Excel as they always have. Serving primarily the US market, our client is experiencing strong and sustained growth. This is an exciting opportunity to lead a multidisciplinary R&D team and work on a cutting-edge SaaS product at scale.

Key Requirements:

🔹Strong Python and system design fundamentals — enough to make sound technical calls and catch when the AI is wrong;
🔹Experience delivering software from idea to production;
🔹Excellent system design and architectural thinking;
🔹Ability to make technical decisions independently and take ownership of outcomes;
🔹Experience working with AI coding tools such as Claude Code, Cursor, Codex, GitHub Copilot, or similar;
🔹Strong product mindset and the ability to balance technical and business priorities;
🔹Comfortable working in ambiguous, fast-moving environments;
🔹Excellent communication and collaboration skills;
🔹Ability to review, challenge, and improve AI-generated output rather than relying on it blindly;
🔹Experience building AI-native development workflows;
🔹English – Upper-Intermediate or higher.

Will be plus:

🔹Django experience;
🔹Experience with modern frontend technologies, QA automation, or full-stack environments;
🔹Experience working in product companies or startups.

What you will do:

🔹Own features end-to-end, from initial requirements to production and monitoring;
🔹Partner with Product to turn requirements into clear execution plans — Product owns the what, you own the how;
🔹Orchestrate AI agents across development, QA, and automation;
🔹Review, validate, and improve AI-generated code and solutions;
🔹Make architectural decisions, define data models, and optimize system performance;
🔹Ensure high quality throughout the entire delivery lifecycle;
🔹Own a feature area while contributing across other areas when needed;
🔹Collaborate directly with engineering and product teams to continuously improve delivery processes.

Interview stages:
 

🔹 HR Interview;
🔹 Tech interview with Team Lead;
🔹 Interview with PM;
🔹 Interview with VP R&D (optional);
🔹 Reference check;
🔹 Offer.

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.

From day one, you’ll get:

🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer. You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.