Jobs Python

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.

We are looking for a Team Lead [Python] to join our team!  

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.).

Technical Skills:

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

Problem-Solving Skills:

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

Nice-to-Have Skills:

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

Responsibilities:

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

About Us
Webugol is a global digital marketing agency that empowers brands through omnichannel strategies. We are passionate about providing custom digital marketing solutions to our clients. Now we’re building a next-generation AI automation platform that helps digital marketers launch, optimize, and scale campaigns with unprecedented speed and precision. From smart data pipelines to real-time decision-making, we’re pushing the limits of what automation can do in the ad tech space.

We’re looking for a talented Python Developer to join our onsite team and work directly with the CEO to bring our core product vision to life.

Your Role
As our backend developer, you will:

• Develop and maintain FastAPI-based services powering our automation engine
• Build scalable async operations using asyncio (Python 3.10+)
• Manage and optimize PostgreSQL schemas and queries
• Integrate with major advertising APIs (Google Ads, Meta, etc.)
• Collaborate closely with the CEO on product features, strategy, and architecture
• Own key components of the platform and help shape the roadmap
• Contribute to a fast-moving, product-driven team onsite

What We're Looking For

• Core: Strong experience with Python 3.10+ and deep understanding of asyncio for building high-performance asynchronous applications.
• Frameworks: Experience with FastAPI and Pydantic (v2).
• Databases: Solid experience with PostgreSQL, including writing complex queries, optimizing performance, and schema management.
• ORM: Familiarity with Tortoise ORM is a big plus. Experience with SQLAlchemy or Django ORM is also valuable.
• Migrations: Proficiency with Aerich or Alembic for database migrations.
• Testing: Experience writing tests using Pytest to ensure code quality and reliability.
• Infrastructure: Experience working with Docker, CI/CD pipelines for automating deployments.
• Background Tasks & Scheduling:
  • Experience with background task management using tools like Redis, RabbitMQ, or Taskiq (ideal, or Celery as a fallback).
  • Understanding of scheduling tasks with Cron Jobs for data synchronization and periodic operations.
• External APIs: Experience working with Google Ads API, Google API Client, and Webhooks. Familiarity with other external APIs is an advantage.
  • Understanding of error handling, retries (using Tenacity), rate limiting (e.g., Leaky Bucket), and timeout management.
• System Design: Solid understanding of building modular systems, designing database structures, data flows between services, and queuing systems that scale efficiently.
• OOP & Clean Code: Knowledge of SOLID, DRY, and KISS principles. Experience implementing design patterns such as Strategy, Repository, and Factory.

Nice to Have:

• NoSQL: Experience with MongoDB.
• AI Integration: Experience working with OpenAI API, LangChain, or OpenRouter.
• Cloud Infrastructure: Familiarity with AWS, GCP, S3, or DigitalOcean.

Why Webugol?

• A fast-paced, collaborative environment with direct impact on the product
• Opportunity to work with cutting-edge technologies in the AI and ad-tech space
• Flexible working environment
• Competitive salary and benefits package
   

If you're passionate about backend development, automation, and building scalable systems, we'd love to meet you. Apply now to be a key player in shaping the future of digital marketing automation at Webugol.

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.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are seeking a proactive Python Developer with at least 3 years of experience to join our engineering team. You will be responsible for the full lifecycle of data-driven applications, from building robust backend APIs to designing and maintaining complex data pipelines. The ideal candidate thrives in a DevOps-cultured environment and is eager to work with modern orchestration and cloud technologies.

Core Responsibilities:

— Data Pipeline Management: Develop, optimize, and maintain scalable data pipelines to ensure high-quality data flow.

— API Development: Build and maintain high-performance backend APIs using FastAPI.

— System Reliability: Proactively identify bottlenecks and improve system stability within existing infrastructures.

— Collaboration: Work closely with cross-functional teams to integrate AWS services and workflow orchestration tools into the production environment.

Required Qualifications:

— Experience: 3+ years of professional Python development experience.

— Databases: Strong proficiency in both SQL and NoSQL database design and management.

— DevOps Tools: Hands-on experience with Docker, CI/CD pipelines, and Git version control.

— Frameworks: Proven experience building applications with FastAPI.

— Cloud & Orchestration: Practical experience with AWS services and familiarity with Airflow (or similar workflow orchestration tools).

— Communication: Upper-Intermediate level of English (written and spoken) for effective team collaboration.

Preferred Skills (Nice to Have):

— Experience within the Financial Domain.

— Hands-on experience with Apache Spark and complex ETL pipelines.

— Knowledge of container orchestration using Kubernetes.

— Exposure to or interest in Large Language Models (LLMs) and AI integration.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

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.

CodeSmart is seeking an experienced and proactive Senior Python Developer to join our growing engineering team. The ideal candidate has a deep understanding of Python, extensive experience building scalable web applications with Django, and a strong background in distributed systems using Celery and RabbitMQ. You will also be responsible for designing and integrating features powered by OpenAI and other LLM APIs, helping us build intelligent, AI-driven products.

As a Senior Python Developer, you will own core parts of the backend architecture, mentor other engineers, and work closely with product and cross-functional teams to deliver robust, high-quality solutions.
 

Responsibilities:

• Design, develop, and maintain backend services using Django framework and Fast API.
• Architect and optimize asynchronous task processing using Celery and RabbitMQ.
• Design and implement features that leverage OpenAI and other LLM APIs (e.g., content generation, assistants, search, classification, and summarization).
• Take ownership of technical solutions from design through deployment, monitoring, and iteration.
• Collaborate with product managers, designers, and other developers to define and implement new features.
• Write efficient, reusable, testable, and well-documented code.
• Participate in and lead code reviews, ensuring code quality, performance, and adherence to best practices.
• Design and optimize Postgres database schemas, queries, and migrations.
• Use Docker to containerize applications and support deployment workflows.
• Diagnose, troubleshoot, and resolve complex production issues.
• Mentor Middle and Junior developers, providing technical guidance and knowledge sharing.
• Stay current with industry trends, especially in LLMs, AI/ML tooling, and backend technologies, and bring relevant ideas into the team.
   

Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
• 6+ years of commercial experience in Python backend development.
• Strong hands-on experience with the Django framework.
• Proven production experience integrating and working with OpenAI and other LLM APIs (e.g., prompt design, handling context windows, managing costs and rate limits).
• Experience building AI-powered features or workflows on top of LLMs (chatbots, assistants, content generation, semantic search, etc.).
• Strong knowledge of Object-Oriented Programming, design patterns, and application architecture.
• Proficiency with Postgres SQL: schema design, indexing, query optimization.
• Practical experience with Docker for development and deployment.
• Strong debugging, performance optimization, and problem-solving skills.
• Experience with Git.
• Experience working in Agile environments Scrum/Kanban.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and CI/CD.
• Excellent communication skills and the ability to collaborate effectively in a distributed team.
• Experience building AI-powered features: content generation, interactive workflows, structured output parsing, prompt design
• Solid production experience with Celery + RabbitMQ (retries, task states, error handling, restart resilience)
• Strong knowledge of Docker & Docker Compose for development and deployment of multi-container applications

If you have real-world prompt examples from production projects (chatbots, interactive story generators, agents, RAG pipelines with multi-step reasoning), please highlight them in your cover letter or include GitHub links. This will significantly speed up the review process.
 

If you’re passionate about building scalable backend systems and excited to work at the intersection of Python and LLM-powered applications, we’d love to hear from you.

We're hiring a full-time Django developer to help with rebuild of our application. We are changing our internal application from Symfony to Django, and need someone to assist with the rebuild. Currently there is 1 developer on the rebuild, and we looking to hire an additional Django developer to speed up developement.

We are looking for a developer that doesn't just do developement, but is also a product person who understands the business logic behind tasks, and how users will be using it. Also will help make architecture decisions.

Our product (BookingAgentInfo.com) connects businesses with celebrities and influencers for endorsements, brand partnerships, and event bookings.

REQUIREMENTS: 

Must Have: 

- 5+ years Django/Python experience 

- Built systems from scratch (show us 2-3 examples) 

- Data migration experience (800K+ records preferred)

- Can work independently with clear requirements

- Excellent English communication (work with non-technical stakeholders) 

- Ownership mindset (this is YOUR system long-term) 

- 4+ hours overlap with US Eastern) 

- Must be upper-intermediate English speaker 

Strong Plus: 

- Experience rebuilding legacy systems 

- Django Admin customization expertise 

- API integration experience (Spotify, social platforms) 

- Interest in AI/ML (future roadmap) 

- Have owned a codebase long-term before 

- Comfortable being "the developer" on a project 

- Experience with Symfony is a plus but not required

Requirements:

• Strong backend development experience with Python and PostgreSQL, including schema design and migrations (SQLAlchemy + Alembic)
• Proficiency with React and TypeScript for frontend development
• Deep understanding of asynchronous programming and event-driven systems (Python async, background processing, integrations)
• Experience with workflow orchestration tools
• Hands-on experience working with Apache Airflow, including DAG's and backend integrations
• Experience in building or designing data pipelines, including orchestration, data processing and integrations (batch and/or streaming)
• Build and maintain infrastructure using Terraform, Kubernetes and Helm
• Experience deploying and operating services on Kubernetes, including maintaining Helm charts
• Ability to work highly autonomously, proactively clarify requirements and driving work forward with minimal supervision
• Strong communication skills and experience working in distributed teams

Nice-to-Have:

• Familiarity with FastAPI
• Experience with Bazel build system (training can be provided)
• Experience with CI/CD pipelines
• Prior experience in environments with limited product management and high ownership

Key Responsibilities:

• Design, build and deliver full-stack features using Python, PostgreSQL, React and TypeScript
• Take ownership of features from initial, sometimes ambiguous ideas to production, including:
• clarifying requirements and assumptions
• technical design
• implementation
• testing, deployment and monitoring
• Design and maintain integration-heavy backend services, collaborating with other teams and consuming internal API's
• Work closely with Apache Airflow pipelines (seamless integration with backend services)
• Design and implement scalable backend systems using PostgreSQL
• Proactively identify risks, dependencies and gaps in requirements, and drive solutions independently
• Build and maintain infrastructure using Terraform, Kubernetes, and Helm
• Collaborate with team members in regular syncs to discuss progress, blockers and demos
• Participate in code reviews, design discussions and cross-team technical coordination

About the Project:

We’re hiring a Full-Stack Software Engineer (Python + React) to join a fast-paced, highly autonomous team. This role is ideal for an engineer who is comfortable working across the stack, passionate about writing clean and scalable code, and capable of driving features end-to-end - from design to infrastructure provisioning to production monitoring.

Engineers are trusted to make decisions, ask the right questions and deliver production-ready solutions. The work spans backend services, Airflow-driven workflows, infrastructure and frontend with a strong emphasis on building reliable, well-integrated systems that scale.

You will work closely with cross-functional teams to build new features from scratch.