Jobs Python

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Python Software Engineer to join our team and help us build an on-premise software pipeline for real-time computer vision. The system ingests camera streams (primarily RTSP), stores frames in a shared data layer, runs CV/AI engines for preprocessing and inference, applies inference logic to produce decisions, and sends results to Database/Portal/Alerting/Control integrations.

Responsibilities:
- Build and maintain the Camera Module to reliably ingest RTSP streams, decode frames, and handle reconnect/keep-alive/packet loss.
- Implement the Shared Data layer for raw and processed frame exchange across processes with backpressure and safe lifecycle management.
- Integrate and operate CV/AI Engines in Python (preprocess, inference, postprocess) with configurable model loading and runtime selection.
- Develop the Inference Logic layer that orchestrates cropping, batching, filtering, classification, and decision output formatting.
- Implement connectors for Database & Portal (event persistence, evidence references) and for Alerting & Control (events/hooks for downstream automation).
- Ensure production readiness on Linux with observability (logs/metrics), health checks, and robust error handling.

Requirements:
Must-have:
- Strong Python, OOP, clean architecture, typing preferred.
- Solid experience with multiprocessing/concurrency (process lifecycle, IPC patterns, queues/shared memory).
- Comfortable working in Linux (systemd/service mindset, networking basics, profiling/debugging).
- Familiarity with CV/AI tooling, and some related Python libraries such as numpy, opencv (cv2), and torch or tensorflow.
- Ability to work with streaming data and reliability constraints (timeouts, retries, resource cleanup).
Should-have:
- Experience with RTSP/RTP streaming and common issues (UDP vs TCP interleaved, jitter, packet loss, camera timeouts).
- Performance optimization (profiling, memory management, zero-copy patterns).
- Exposure to inference acceleration stacks (TensorRT/OpenVINO) or GPU deployment.
- Experience designing event schemas and integration with DB/message queues.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

I'm currently seeking a skilled Python developer to join our dynamic team. This is an exciting opportunity to be part of a vibrant startup.

As a Python developer, you will be responsible for coding, designing, deploying, and debugging development projects, focusing on working with cloud providers' data sources, and more.

Experience with AWS Lambda functions or Azure\GCP Functions, SQS or Azure Service Bus, and related cloud services, as well as proficiency in working with AWS SDKs like boto3 or the equivalent Azure\GCP SDKs, will be an advantage for this role.

Note - this role is not a backend position nor a full-stack.

Requirements:

- Minimum of 4 years of experience in Python development.

- Experience dealing with cloud providers and integrating data sources - an advantage.

- The position requires previous experience in a development team with structured development processes.

- Proficiency in AI development tools (e.g., ChatGPT, Cursor, etc) is mandatory

Additional Qualifications:

A TEAM MEMBER!

Possess a startup state of mind, embracing rapid changes and flexibility.

We invite you to apply if you are passionate about cyber security and thrive in a fast-paced startup environment.

Join us!

*The interviews will be conducted exclusively in English*

Client

Our client is the world’s leading music company, committed to artistry, innovation, and entrepreneurship.

Position overview

We are looking for a Senior Python Developer with strong expertise in Django and AWS to join our Release Products team. This role offers high autonomy and ownership, requiring you to design, build, and maintain production-ready backend services while contributing to infrastructure and CI/CD improvements.

You will work closely with a senior engineering team, taking responsibility for the production system and ensuring scalability, reliability, and performance. Ideal candidates are T-shaped engineers who thrive in fast-paced environments, can make independent technical decisions, and have hands-on experience with modern cloud and container technologies.

Responsibilities

• Build and maintain Django backend services
• Own features end-to-end
• Contribute to infrastructure and CI/CD where applicable
• Work directly with a senior engineering team with minimal oversight
• Take responsibility for the production system, including troubleshooting and operational ownership

Requirements

• 6+ years of professional engineering experience
• Experience as a senior or lead-level contributor
• Production Django experience (not just Python)
• Strong in API design, data modeling, and performance optimization
• Solid AI skills and fluency in using AI tools, or a strong willingness and motivation to work with AI
• AWS expertise, including hands-on experience with EKS (not just theoretical Kubernetes)
• Experience with CI/CD pipelines using GitHub Actions
• Ability to troubleshoot production issues and ensure system stability
• Comfortable operating with high autonomy and making technical decisions independently
• Ability to ramp up quickly in existing production systems
• Strong communication skills and proactive approach
• T-shaped engineer (deep in one area, strong in another)
• Experience across backend + frontend or backend + infrastructure
• Used to working with experienced teams and minimal process

Client

Our client is the world’s leading music company, committed to artistry, innovation, and entrepreneurship.

Position overview

We are seeking a Senior Full Stack Engineer with deep expertise in Python/Django and React to join our Release Products team. This role offers high autonomy and ownership, requiring you to design, build, and maintain production-ready features across backend and frontend systems.

You will work closely with a senior engineering team, contributing to infrastructure and CI/CD improvements, and ensuring the stability and scalability of our production environment. Ideal candidates are T-shaped engineers who thrive in fast-paced, minimal-process environments and can make independent technical decisions while collaborating effectively.

Responsibilities

• Build and maintain Django backend services
• Contribute meaningfully to a React frontend
• Own features end-to-end (design → deploy → production)
• Contribute to infrastructure and CI/CD where applicable
• Work directly with a senior engineering team with minimal oversight
• Take responsibility for the production system

Requirements

• 6+ years of professional engineering experience
• Prior experience as a senior or lead-level contributor
• Comfortable operating with high autonomy
• Ability to ramp up quickly in existing production systems
• Strong communication skills and proactive approach
• Solid AI skills and fluency in using AI tools, or a strong willingness and motivation to work with AI
• T-shaped engineer (deep in one area, strong in another)
• Experience across backend + frontend or backend + infrastructure
• Comfortable making technical decisions independently
• Used to working with experienced teams and minimal process
• Production Django experience (not just Python)
• Strong in API design, data modeling, and performance awareness
• Modern React experience (hooks, component architecture)
• Experience shipping and maintaining production UIs

About the Client

Our client develops Software as a Medical Device (SaMD) solutions focused on AI-driven lung cancer detection, diagnostics, and therapy for the US and European healthcare markets.

As the product and customer base grow, the company is expanding its engineering team to accelerate the existing product roadmap.

Technology Stack

• Core Languages: Scala, Python, TypeScript
• Cloud Infrastructure: Microsoft Azure
• Domain Specializations:
  • AI / Machine Learning
  • Medical imaging standards (DICOM)
  • Healthcare system integrations (HL7)

What You’ll Do

• Design, develop, and maintain backend and service components using Scala and Python
• Contribute to frontend and service integrations using TypeScript
• Work on AI-powered healthcare solutions related to diagnostic workflows
• Implement integrations with healthcare standards such as DICOM and HL7
• Collaborate with cross-functional teams including AI/ML engineers and product teams
• Contribute to scalable, secure, and compliant medical software systems
• Participate in code reviews and maintain high engineering standards

Requirements

• Strong development experience with Scala, Python, and TypeScript
• Experience building scalable backend services and APIs
• Experience working with cloud environments, preferably Microsoft Azure
• Understanding of modern software architecture and distributed systems
• Ability to work in an Agile environment
• Strong communication skills and ability to collaborate in an international team
• English level B2 or higher

Nice to Have

• Experience in medical technology / healthcare software
• Familiarity with DICOM or medical imaging workflows
• Experience with HL7 integration or other healthcare interoperability standards
• Experience working with AI/ML systems in production
• Knowledge of regulatory environments related to medical software

Why Join

• Work on impactful AI-powered medical technologies
• Contribute to solutions that help improve early cancer detection and patient outcomes
• Long-term engagement with a growing med-tech company
• Fully remote collaboration with an international engineering team

About the job
Who We Are
A startup in the field of minimally invasive endovascular decision support, is seeking
an experienced Python Software Engineer to participate in development of cutting
edge medical product. This role involves development of scalable, high-performance
AI-powered solutions for medical technologies.

What You’ll Do
• Design and implement server-side python-based modules
• Integrate with BPM engine
• Collaborate with architect, product managers, and front-end engineers to translate
requirements into elegant, efficient, and maintainable code, according to best
practicies of software engineering
• Writing technical documentation.
• Drive technical decisions on application architecture, frameworks, and tooling for
back-end development within a Python environment
• Optimize back-end performance, accessibility. Ensure durability, stability,
maintenability and resilience.
• Contribute to continuous improvement in development processes, including
CI/CD, unit testing, production deployment and automation
• Stay current with emerging back-end technologies and frameworks, and evaluate
their potential adoption within the team

Requirements
Minimal Requirements
• 5+ years of back-end Python development - must.
• Extensive knowledge of Multi-threading / Multi-Processing / Interprocess
Communication - must
• Excellent knowledge of software design patterns - must
• Experience with unit testing - must
• Experience with maintenance and deployment in Python environments, working
with artifactory like Nexus / nuget - must
• High level of Engish - verbal & written - must
Aditional (Advantage) Requirements

• Experience with BPM engines - huge advantage.
• Experience with REST/gRPC - advantage
• Experience with AI inference - advantange
• Experience with distributed systems - advantage
• Experience with near-real-time applications - advantage
• Experience with cross-platforms / mixed-language applications - advantage
• Experience with Deployment, including CI/CD - advantage
• Software Engineering / Computer Science Bachelor Degree - advantage
• Medical / healthcare companies experience - advantage
• Knowledge of security best pacticies - advantage

Personal
• Fire-and-Forget attitude - MUST
• Strong sense of ownership and responsibility for both production environments
and company IT.
• Detail-oriented mindset with a focus on security, compliance, and reliability.
• Problem-solver able to troubleshoot across DevOps, infrastructure, and IT
domains.
• Comfortable working in a startup environment: flexible, hands-on, and willing to
switch contexts between R&D support and internal IT.
• Excellent collaboration and communication skills, working closely with
engineers, data scientists, clinicians, and non-technical staff.
• Ability to document and enforce policies in a way that balances compliance with
usability.
• Proactive learner, always looking to adopt best practices and introduce
improvements in DevOps and IT
• Quick-learner, team player

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 developing a no-code automation platform designed for enterprise IT and support teams. The product integrates with multiple third-party systems—such as cloud providers, identity services, and ITSM tools—to automate routine tasks and improve operational efficiency. Built as a microservices architecture using FastAPI and AsyncIO, the platform manages high volumes of data through Postgres and Redis, and relies on HTTP/REST APIs and OAuth for secure communication. Current initiatives include the design and implementation of autonomous AI-driven workflows to resolve support tickets and streamline IT processes. The system must deliver high reliability and low latency at scale, handling complex orchestration and integrations while maintaining clear auditability and extensibility.

About the Role:

As a Senior Python Engineer, you will own the design, development, and maintenance of core backend services and REST APIs for our automation platform. You will collaborate directly with stakeholders and a cross-border engineering team. While your primary focus will be on server-side components—including database interactions, task orchestration, and third-party integrations—you will also provide backup support for minor front-end tasks using TypeScript and ReactJS. You will take full ownership of your modules, identify root causes of production issues, propose architecture improvements, and contribute to our AI automation initiatives. This role offers autonomy, direct impact on product direction, and opportunities to shape a next-generation platform for enterprise IT automation.

Key Responsibilities:

• Design, implement, and maintain Python-based REST APIs and backend services using FastAPI and AsyncIO.
• Integrate with external systems (cloud providers, identity platforms, ITSM tools) via HTTP/REST interfaces.
• Manage data persistence and caching with Postgres and Redis, ensuring performance and reliability.
• Collaborate on microservices architecture, contributing to code reviews and design discussions.
• Perform root-cause analysis and debugging of production issues to maintain high service availability.
• Support some front-end tasks in ReactJS and TypeScript
• Work with DevOps and infrastructure teams on cloud-based deployments and system design.
• Leverage AI-assisted development tools to improve code quality and productivity.

Required Competence and Skills:

• 6+ years of professional experience in software development, with a focus on Python.
• Strong understanding of computer science fundamentals, algorithms, and data structures.
• Proficiency with Postgres and Redis for data storage and caching.
• Experience deploying and operating services on Azure or another major cloud platform.
• Practical skills in TypeScript and ReactJS for front-end maintenance tasks.
• In-depth knowledge of HTTP, REST API design, and OAuth protocols.
• Product-oriented mindset with experience collaborating directly with designers and stakeholders.
• Experience using AI-powered development tools (e.g., Copilot, Cursor) in daily workflow.

Nice to Have:

• Familiarity with Next.js for server-rendered React applications.
• Experience with Temporal or similar orchestration/workflow systems.
• Knowledge of message queue systems (Kafka, RabbitMQ) and event-driven architectures.

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.

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 Team Lead [Python]!  

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

- 4+ years of experience in software engineering;

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

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

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

- Experience with back-end frameworks (FastAPI);

- Expertise in object-oriented programming and SOLID principles;

- Experience with RESTful APIs and microservices architecture;

- Proficiency in version control systems, particularly Git;

- Familiarity with CI/CD pipelines and DevOps practices;

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

- Experience with AWS services, cloud architecture, and Serverless development; 
- Knowledge of containerization technologies (Docker, Kubernetes);

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

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

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

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

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

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

- Familiarity with graph databases and algorithms;

Responsibilities:  
- Develop and maintain robust, scalable web applications that integrate AI models;
- Design and implement efficient APIs for AI model serving and data processing;
- Collaborate closely with the AI team to understand model requirements and optimize integration;
- Implement and optimize algorithms for data processing and feature engineering;
- 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

🗣Free internal English courses

✈️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 

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.

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.

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.

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.).

We are seeking a Python Developer Consultant to join a high-impact enterprise banking project through our IT services consulting firm.

This role is designed for a technically sophisticated professional who thrives in a serious, high-expectation environment. You will help drive a critical migration enablement project, decommissioning legacy middleware systems by rebuilding functionality into modern, high-performance Python services on Kubernetes.
What You Will Do

• Architect & Build: Design and develop robust, production-grade REST APIs using FastAPI within a modern backend ecosystem.
• Legacy Transformation: Enable the fast-track migration of legacy applications by splitting monoliths into scalable Python services.
• Innovation: Leverage AI-assisted development as a productivity tool to accelerate delivery milestones.
• Quality & Security: Implement clean architecture, solid testing practices (pytest), and modern security protocols (OAuth 2.0/JWT).
• Collaboration: Work within an "Agile-minded" environment, taking ownership of backend services that demand high reliability and maintainability.

Must-Have Skills

• Python Expertise: 5+ years of commercial Python development experience.
• API Development: 4+ years building modern REST APIs, with at least 2+ years of deep, hands-on FastAPI experience.
• Performance Patterns: Proven experience with asynchronous programming and high-performance backend design.
• Data & State: Solid understanding of data modeling, RDBMS/NoSQL, ORMs, and caching solutions like Redis.
• Integration: Practical knowledge of Pub/Sub and streaming-based communication patterns.
• Security: Strong grasp of modern authentication/authorization (OAuth 2.0, JWT).
• Testing: Rigorous approach to automated testing, preferably using pytest.

Bonus Skills

• Experience with Flask.
• Previous experience in large-scale enterprise/banking environments where performance and security are paramount.
• Experience or interest in AI-assisted coding tools to optimize workflow.

Role Overview:

About the Client

Our client is transforming the world of alternative investments, making them accessible to a broader range of investors. Traditionally, private funds and other alternative assets have been available only to institutional players due to their complexity and regulatory barriers. They change that by providing a cutting-edge platform that simplifies access, management, and distribution of these investment opportunities.

About the Role

As a Python Automation Engineer, you’ll play a key role in designing and implementing automation solutions across the client’s fintech operations.
This role focuses on software-driven process automation using Python, Playwright (nice to have) and UiPath, as well as working with a custom RPA tooling built by the client.

You will analyze processes, build automation scripts, integrate with APIs, data sources, and financial systems, and contribute to the scalability and reliability of mission-critical workflows such as payment reconciliation, KYC/AML verification, and transaction monitoring.

More information about us - [meet INSART]

Role Responsibilities

• Analyze business processes and identify automation opportunities with measurable ROI.
• Design and implement end-to-end automation workflows using Python and automation frameworks (including UiPath and the client’s custom RPA tooling).
• Develop reusable automation components and libraries following modular and scalable design principles.

• Integrate bots with APIs, databases, ERP/CRM systems, and legacy financial systems.

   

Role Requirements

• 4+ years of using UiPath, Automation Anywhere, or Blue Prism (UiPath preferred)
• Strong proficiency in Python (required) for automation scripts, integrations, and custom workflows.
• Experience with web automation frameworks (Playwright in Python — a strong plus).
• Experience integrating APIs and web services (REST/SOAP).
• Knowledge of SQL for data extraction, transformation, and storage automation.
• Strong communication skills with English B2+ for direct cooperation with the client
• Ability to work independently and take ownership in a changing environment.
• Strong curiosity to the fintech domain.

Nice to have:

• Experience in fintech domain
• Knowledge of process mining tools (Celonis, UiPath Process Mining, Power BI).
• Experience with citizen development frameworks and low-code platforms.
• Exposure to fintech process automation

Interview Process

1. Intro Call with Recruiter (up to 30 min)
2. Technical Interview (up to 60 min)
3. Client Interview in 2 separate rounds

What sets us apart?
Here are just a few reasons why this position is a standout opportunity:

🚀 Opportunity for Growth: As part of our dynamic and fast-growing team, you’ll have the chance to make a real impact and grow your career in exciting new directions.
🌍 Remote Mode: You can have a fully comfortable mode, just stick to deadlines and attend team meetings. 
🕰️ Flexible Schedule: Our cooperation will not have an impact on the work-life balance. In INSART we are committed to making cooperation enjoyable and comfortable first.

💡 Innovation: We’re constantly pushing the boundaries of what’s possible, so you’ll have the chance to join cutting-edge projects and technologies.
👩‍💻 Diversity and Inclusion: We believe that diversity and inclusion are essential to building a strong and successful team. We welcome people of all backgrounds and experiences to join us.
👥 Collaborative Environment: You’ll stay closely with our talented developers to ensure that our products and features are thoroughly tested and of the highest quality.
📚 Free Learning: We believe in continuous learning and development, so we provide free access to a variety of online learning resources to help you stay up-to-date with the latest technologies and industry trends.

Looking forward to having a mutually interesting conversation with you! 😉

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 developing a no-code automation platform designed for enterprise IT and support teams. The product integrates with multiple third-party systems—such as cloud providers, identity services, and ITSM tools—to automate routine tasks and improve operational efficiency. Built as a microservices architecture using FastAPI and AsyncIO, the platform manages high volumes of data through Postgres and Redis, and relies on HTTP/REST APIs and OAuth for secure communication. Current initiatives include the design and implementation of autonomous AI-driven workflows to resolve support tickets and streamline IT processes. The system must deliver high reliability and low latency at scale, handling complex orchestration and integrations while maintaining clear auditability and extensibility.

About the Role:

As a Senior Python Engineer, you will own the design, development, and maintenance of core backend services and REST APIs for our automation platform. You will collaborate directly with stakeholders and a cross-border engineering team. While your primary focus will be on server-side components—including database interactions, task orchestration, and third-party integrations—you will also provide backup support for minor front-end tasks using TypeScript and ReactJS. You will take full ownership of your modules, identify root causes of production issues, propose architecture improvements, and contribute to our AI automation initiatives. This role offers autonomy, direct impact on product direction, and opportunities to shape a next-generation platform for enterprise IT automation.

Key Responsibilities:

• Design, implement, and maintain Python-based REST APIs and backend services using FastAPI and AsyncIO.
• Integrate with external systems (cloud providers, identity platforms, ITSM tools) via HTTP/REST interfaces.
• Manage data persistence and caching with Postgres and Redis, ensuring performance and reliability.
• Collaborate on microservices architecture, contributing to code reviews and design discussions.
• Perform root-cause analysis and debugging of production issues to maintain high service availability.
• Support some front-end tasks in ReactJS and TypeScript
• Work with DevOps and infrastructure teams on cloud-based deployments and system design.
• Leverage AI-assisted development tools to improve code quality and productivity.

Required Competence and Skills:

• 6+ years of professional experience in software development, with a focus on Python.
• Strong understanding of computer science fundamentals, algorithms, and data structures.
• Proficiency with Postgres and Redis for data storage and caching.
• Experience deploying and operating services on Azure or another major cloud platform.
• Practical skills in TypeScript and ReactJS for front-end maintenance tasks.
• In-depth knowledge of HTTP, REST API design, and OAuth protocols.
• Product-oriented mindset with experience collaborating directly with designers and stakeholders.
• Experience using AI-powered development tools (e.g., Copilot, Cursor) in daily workflow.

Nice to Have:

• Familiarity with Next.js for server-rendered React applications.
• Experience with Temporal or similar orchestration/workflow systems.
• Knowledge of message queue systems (Kafka, RabbitMQ) and event-driven architectures.

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.

Project overview

Summa is a cloud-based platform designed to transform the operations of accounting firms and tax consultants in Israel. By automating routine technical and administrative tasks, Summa enables professionals to focus on strategic and analytical aspects of their work, reducing operational hours by up to 80%. The platform leverages advanced technologies like machine learning, artificial intelligence, and Optical Character Recognition (OCR) to optimize processes such as auditing, bookkeeping, tax reporting, and office management. Fully compliant with Israeli regulations and approved by the Israel Tax Authority, Summa aims to create a paperless, efficient, and cost-effective environment for accounting professionals.
As part of the Summa team, you will play a vital role in enhancing the platform’s functionality, improving its user experience, and ensuring it remains at the forefront of technology in the accounting industry.

Role
As a Python Developer (AI/ML Integrations) at Summa, you will play a key role in integrating AI and machine learning solutions into the platform, optimizing processes, and ensuring seamless interactions between advanced technologies and user workflows.

Requirements

• 3+ years of professional experience as a Python Developer
• Proven hands-on experience integrating LLMs into backend or production systems.
• Strong understanding of vector databases and semantic search technologies.
• Solid expertise in RAG architecture and modern AI system design.
• Experience building robust ETL processes and data pipelines.
• Strong knowledge of API development (REST, GraphQL).
• Practical experience with cloud platforms such as AWS or Azure.
• Proficiency with Git and modern CI/CD pipelines
• Experience working in a start-up environment
• English-Upper-Intermediate (B2)

Nice to have

• Experience with containerization and orchestration tools (Docker, Kubernetes).
• Experience working with data lakes, data warehouses, or large-scale document processing systems.
• Understanding of MLOps practices, model lifecycle management, and deployment strategies.
• Experience with MCP, advanced agent frameworks, and multi-agent systems.
• Design and maintain automation workflows (e.g., n8n)
• Experience with the fintech industry

Responsibilities

• Design, develop, and maintain backend services and AI-driven systems using Python.
• Integrate and operationalize Large Language Models (LLMs) in production environments.
• Architect and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and unstructured data sources.
• Build and optimize ETL workflows and data pipelines for structured and unstructured data.
• Develop and maintain APIs (REST, GraphQL) using frameworks such as FastAPI, Flask, or Django.
• Implement and manage AI agents, agent-to-agent (A2A) interactions, skills, and tool-based reasoning workflows.
• Integrate OCR, document processing, and knowledge extraction pipelines.
• Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar.
• Ensure system reliability, scalability, security, and performance in cloud environments.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Contribute to architecture decisions, code reviews, and best practices.

We offer

• 20 vacation days (workdays)
• 7 sick days
• Personalized career growth
• Education reimbursement
• Corporate events and team buildings
• Equipment provided

About the Role

We are seeking a skilled Energy System Analyst / Software Developer to join our team and contribute to the full lifecycle of energy system modelling and simulation projects. You will focus primarily on market modelling of European energy markets, power system optimization, capacity expansion planning, cost-benefit analysis, and economic assessment of infrastructure investments, while also engaging in data handling, visualization, and automation development.

This role combines technical expertise in energy market fundamentals, analytical thinking, and software development skills to deliver high-quality modelling results and insights for our clients across the European energy sector, including TSOs, regional coordination bodies, and European institutions.

Key Responsibilities

• Lead and participate in the design, implementation, testing, and analysis of energy market models using tools such as Antares Simulator (including Antares Xpansion for capacity expansion studies).
• Develop and maintain data management, automation, and market modelling pipelines to support large-scale European energy system studies (e.g., TYNDP, IoSN, regional adequacy assessments).
• Conduct economic evaluations, cost-benefit analyses, and scenario-based simulations to support infrastructure investment decisions and cross-border interconnector assessments.
• Prepare and maintain input datasets for market models, including demand profiles, generation portfolios, fuel prices, renewable time series, and transmission capacities.
• Collaborate with client teams (TSOs, regional groups, European bodies) to ensure accuracy and consistency in data collection, validation, and central dataset maintenance.
• Communicate modelling results, methodologies, and assumptions clearly to both technical and non-technical stakeholders through reports, presentations, and steering group meetings.
• Contribute to technical documentation, methodology descriptions, and quality assurance of project deliverables.

Required Qualifications & Experience

• 2–7 years of relevant professional experience in energy system modelling, market analysis, or power system planning.
• 2+ years of proven experience in market modelling and economic analysis of energy systems.
• Proficiency in Python for modelling, simulation, data processing, and automation.
• Solid understanding of European energy market fundamentals: merit order dispatch, zonal pricing, cross-border exchanges, adequacy assessment, and capacity mechanisms.
• Strong skills in data handling, processing, and visualization of large-scale energy datasets.
• English language proficiency at B2 level or higher.
• MSc degree in Electrical Engineering, Power Engineering, Energy Economics, Computer Science, or related field.

Desirable Skills & Assets

• Experience with PLEXOS for energy market modelling, production cost simulation, or capacity expansion planning.
• Knowledge of open-source energy modelling tools such as PyPSA, Calliope, or OSeMOSYS, and the ability to benchmark or cross-validate results across platforms.
• Familiarity with Antares Simulator and Antares Xpansion for adequacy studies and optimal investment modelling.
• Knowledge of optimization theory and mathematical programming (LP, MILP) as applied to energy system planning.
• Understanding of European regulatory frameworks: ENTSO-E methodologies (TYNDP, ERAA, IoSN), CBAM, EU Green Deal targets, and network development processes.
• Proficiency in R for statistical analysis or simulation post-processing.
• Familiarity with Git or other version control systems.
• Ability to translate customer requirements into actionable modelling tasks and deliverables.
• Experience in applying AI tools to support programming and analytical work.
• Strong communication and teamwork skills, with the ability to meet deadlines and work effectively in multi-stakeholder project environments.