Jobs Python

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

Project: Portfolio management systems for a US financial institution. 

What you will be doing:  

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

What we are looking for:  

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

What we offer: 

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

Our startup is growing fast, and we already have real clients using and testing the product. That is why we are looking for a strong Python Developer with practical experience in AI solutions who wants to join us at an early stage and become part of building a real technology company.

We are not looking for someone who just needs “another job.”
We want to find a person who wants to become part of the team, grow together with the startup, and have a real impact on the product.

After 6 months of successful cooperation, we are ready to offer equity in the company.

Responsibilities

• Develop the backend part of the product using Python
• Integrate AI solutions into the product, including Claude
• Integrate and work with Google OR-Tools
• Participate in product architecture decisions
• Work with data: processing, analysis, and business logic development
• Help build scalable technical solutions from the early stage

What We Offer

• Full remote work
• Flexible schedule
• Opportunity to join an active startup at an early stage
• Real influence on product architecture and technical decisions
• Small team without unnecessary bureaucracy
• Direct impact on the future of the company
• Opportunity to receive company equity

Important

We are looking not just for a developer, but for an engineer who has already worked with AI in practice.

Please include examples of real projects, AI integrations, full-stack or backend only products, or case studies when applying.

We are looking for a Senior Python Backend Engineer to join our Legal Tech engineering team and help build the next generation of AI-driven litigation ecosystem. This role combines top-tier backend engineering, cloud architecture, and cutting-edge LLM/AI innovation.

You’ll build high-scale, secure, multi-tenant services that turn our real-time transcription engine into AI-powered workflows and assistants used by legal teams. The role offers real ownership and chances to lead initiatives, while giving you space to grow your skills in AI development and modern dev-AI tools — all within a supportive, collaborative team.

This role is for people who bring passion, curiosity, and a genuine drive to build something meaningful as part of a strong, mission-driven team.

This is a remote position based in Ukraine. Candidates must have full professional proficiency in English.

What makes Verbit unique?
Verbit turns speech into impact. Our team of 250 professionals builds AI-driven solutions that help the world’s leading organizations get real value from their audio and video content. We serve high-end customers across the Legal, Media and Education markets with a next-generation verbal-intelligence platform that brings AI into the core of their workflows.

Our in-house technology combines advanced LLMs, GenAI capabilities and speech AI to power everything from legal-tech automation and real-time insights to intelligent media and learning workflows. Beyond transcription or accessibility, Verbit provides actionable intelligence: smart summaries, analytics, search, knowledge extraction, legal-deposition insights and more.

With more than 3,000 global customers relying on Verbit — including top law firms, universities, enterprises and media organizations — we’re building the future of how speech data is processed, understood and used.

     If you want to join our journey, you’ll need:

• 7+ years of hands-on backend development experience in a high-scale production environment
• Strong proficiency with Python, REST APIs and Cloud (e.g. AWS, GCP)
• Strong experience designing and building distributed, cloud-native microservices
• Experience with event-driven architectures and asynchronous processing
• Solid understanding of system design, scalability, availability, and performance optimization
  Practical experience using AI-powered development tools (e.g., Cursor, Claude Code)
• A significant advantage if you have practical experience with AI infra, such as: RAG, Agentic frameworks, Langfuse, LiteLLM
  Ability to take ownership and drive projects end-to-end, working proactively and independently and as a team in a fast-moving environment

• Good communication skills and teamwork
  Ability to work efficiently both individually and within a team

   

  It will be even better if you have:

• Formal education in relevant fields (CS, Math, Electrical Engineering etc.)
• Experience with large scale SaaS solutions
• Ability to integrate AI/LLM features into backend services (e.g., prompting, embeddings, RAG pipelines, fine-tuning)

Numerical Technologies Ltd is a leading provider of custom software solutions and services specializing in risk, limits, and regulatory capital. Right now, we are looking for a Python Developer to join our team.

What will you be doing?

You will be participating in a project for a major financial holding company. 

You will help develop new software features, as well as support and maintain existing ones. You will write scalable and fault-tolerant code, debug programs, and integrate applications with third-party web services. You will work closely with the client’s team to understand the system’s functional and non-functional requirements, and contribute to code quality through unit testing, integration testing, code reviews, and system design using Python to build robust software that aligns with the client’s business needs.

What are we looking for:

◼ Strong programming background in Python with solid OOP skills.

◼ Proficiency in SQL (PostgreSQL, SQLite) and NoSQL (MongoDB) databases.

◼ Deep understanding of algorithms and data structures.

◼ Experience with FastAPI and Linux environments.

◼ Experience with REST APIs and AWS services.

◼ Exposure to React is a plus. 

◼ Strong problem-solving skills and the ability to collaborate effectively in a team environment.

◼ Bachelor’s degree (or higher) required.

◼ Upper-intermediate (B2) English level or higher.

What we offer:

◼ Competitive compensation depending on experience and skills.

◼ Regular assessments and salary reviews.

◼ Paid personal days.

◼ Health insurance.

◼ Mental health support program.

◼ English/Polish/Spanish language classes.

◼ Flexible working schedule.

We are the Product Security team, responsible for the security, reliability, and trust of Raiffeisen Bank’s digital ecosystem.
Our mission is to embed security at every stage of the software development lifecycle and continuously strengthen the resilience of our services.

We are looking for an AI Engineer (Security) — a specialist who combines strong software engineering experience, hands-on expertise with LLMs and AI tools, and a desire to apply these skills within the cybersecurity domain.

In this role, you will design AI-driven solutions to automate security team processes, assess the security of AI systems implemented across business and IT, and help colleagues integrate AI into their daily workflows.

Your future responsibilities:

In this role, you will be responsible for designing and implementing AI solutions for security teams. You will build LLM agents, RAG systems, AI pipelines, and integrations using modern tools.

At the same time, you will implement a Shift-Left AI Security approach — embedding AI security checks early in the development lifecycle by integrating them into CI/CD pipelines and SSDLC processes. This includes:

• Analyzing AI-specific threats
• Managing Shadow AI risks
• Helping Security team to build tools for conducting security reviews of AI products before they go into production
• Defining architectural standards for AI security tooling across the organization
• Mentoring engineering teams on secure AI integration patterns and best practices
• Leading technical decision-making for AI security infrastructure choices

If you are passionate about combining artificial intelligence and cybersecurity in a complex, technology-driven financial environment — this role is for you.

Your skills and experience:

• 5+ years of software development experience
• Strong proficiency in Python and other programming languages for building automation, scripts, and integrations
• Hands-on experience with LLMs: prompt engineering, building chains/agents, working with model APIs (e.g., OpenAI, Anthropic)
• Experience with LLM frameworks
• Practical use of AI assistants in development (e.g., GitHub Copilot, Claude Code, Cursor or similar)
• Understanding of RAG architectures: vector databases, embedding models, chunking strategies
• Knowledge of OWASP Top 10 for LLM Applications
• Ability to rapidly prototype — from idea to working PoC in days, not months
• Experience influencing technical direction across multiple teams or projects
• Track record of knowledge transfer — documentation, workshops, or internal enablement

Will be a plus:

• Experience with model fine-tuning
• Knowledge of Cloud AI services: Azure OpenAI, AWS Bedrock, GCP Vertex AI
• Basic understanding of information security processes (SOC, Incident Response, AppSec, GRC)
• Familiarity with NIST AI RMF, EU AI Act, or other AI regulations
• Experience building multi-agent systems
• AI or Cloud certifications

Personal Qualities:

• Practitioner mindset — not just understanding LLMs, but having built real solutions
• Self-sufficiency — ability to take ownership from problem to solution without micromanagement
• Strong communication skills — able to explain complex topics in simple terms to non-AI teams
• Curiosity and adaptability in a fast-evolving AI landscape
• Focus on delivering measurable business value
• Ability to lead by expertise — guiding teams without formal authority

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral program with rewards for bringing in new colleagues to Raiffeisen Bank. 
• Social package: official employment, 28 days of paid leave, additional paternity leave, and financial assistance for parents with newborns. 
• Comfortable working conditions: possibility of a hybrid work format, offices equipped with shelters and generators, modern equipment. 
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist, or lawyer; discount programs for sports and purchases; family days for children and adults; in-office massages. 
• Training and development: access to over 130 online training resources; corporate training programs in CX, Data, IT security, leadership, agile, сorporate library. 
• Great team: our colleagues form a community where curiosity, talent, and innovation are welcome. We support each other, learn together, and grow. You can find like-minded individuals in over 15 professional communities, reading clubs, or sports clubs. 
• Career opportunities: we encourage advancement within the bank across functions. 
• Innovations and technologies: Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Android). Data stores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink. AI: building expertise and actively integrating into processes. 
• Support program for defenders: we maintain jobs and pay average wages to mobilized individuals. For veterans, we have a support program and develop the Bank’s veterans community. We work on increasing awareness among leaders and teams about the return of veterans to civilian life. Raiffeisen Bank has been recognized as one of the best employers for veterans by Forbes. 

Why Raiffeisen Bank? 

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter! 
• One of the largest lenders to the economy and agricultural business among private banks. 
• Recognized as the best employer by EY, Forbes, Robota.ua, Stud-Point, Delo.UA, NV, Odgers, UAFIC. 
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ). 
• One of the largest IT product teams among the country’s banks. 
• One of the largest taxpayers in Ukraine; 6 billion UAH were paid in taxes in 2025. 

Opportunities for Everyone: 

• Raif is guided by principles focused on human development and the well-being of 5,000 employees and over 2.5 million clients. 
• We uphold the principles of diversity, equity, and inclusion. 
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to meet your specific needs. 
• We collaborate with students and experienced professionals alike, creating opportunities for growth at every stage of a career 

You matter at Raif! 

Want to learn more? — Follow us on social media:

Facebook, Instagram, LinkedIn

Join a Company That Invests in You

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

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

What We're Looking For

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

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

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

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

What You'll Do

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

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

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

-Optimize token usage without sacrificing answer quality.

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

Requirements

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

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

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

Nice to Have

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

Senior Python Developer для AI-агентів, LLM systems та agentic workflows.

🚀 Про Workeron.ai

Workeron.ai — AI startup, який створює AI агентів та digital employees для автоматизації реальних бізнес-процесів.

Ми не робимо черговий wrapper над ChatGPT.

Наша ціль — створювати AI-системи, які можуть виконувати реальні задачі всередині компаній та забирати рутину з команд.

Ми працюємо в режимі швидкої перевірки гіпотез:

24 ideas → 6 strong products → 1 scalable winner

Ми цінуємо:

• швидкість
• execution
• ownership

• product thinking

   

⚙️ Engineering Approach

Усі продукти розробляються у shared monorepo на базі:

• uv workspaces

• Turborepo

   

Наш підхід:

• modular monolith
• reusable components
• strict module boundaries
• можливість швидко перейти до microservices після PMF

Наша задача — рухатись швидко без технічного хаосу.

🌍 Формат роботи

• Fully remote
• International AI-focused environment

• Пряма співпраця з founders та Product Owners

   

💰 Compensation

• $4,000–6,000/month

   

💡 Про роль

Шукаємо сильного Senior Python Developer з реальним hands-on досвідом роботи з AI/LLM продуктами та agentic systems.

Ви будете працювати над AI агентами, multi-agent workflows, orchestration systems та швидкою розробкою MVP → production systems.

Ця роль підійде людині, якій подобається:

• швидко будувати продукти
• працювати з неоднозначними задачами
• поєднувати backend engineering та applied AI

• мати прямий вплив на продукт

   

🛠 Що потрібно буде робити

• Розробляти AI агентів та multi-agent workflows
• Будувати agent graphs з використанням LangGraph
• Створювати MVP та production-ready AI systems
• Інтегрувати LLM APIs, external tools та vector databases
• Проєктувати backend architecture на FastAPI + PostgreSQL
• Працювати з async workflows та orchestration systems
• Покращувати reliability та scalability AI systems

• Швидко перетворювати product ideas у working systems

   

✅ Requirements

• Strong Senior-level Python/backend experience
• Відмінне знання FastAPI та PostgreSQL
• Досвід створення AI/LLM продуктів
• Hands-on experience з LangGraph та agentic systems
• Розуміння modular architecture
• Вміння рухатись швидко без overengineering
• Високий рівень ownership

• English — Upper-Intermediate або вище

   

➕ Nice to Have

• React / Next.js
• Temporal
• Qdrant або pgvector
• LiteLLM, Traceloop, Ragas
• Product thinking

• Startup experience

   

🧰 Stack

Python · FastAPI · PostgreSQL · LangGraph · LLM APIs · Qdrant · pgvector · Docker · Turborepo · uv · Temporal

💎 Ми пропонуємо

• Fully remote
• Мінімум бюрократії
• Швидкий процес прийняття рішень
• Сильну AI-focused engineering environment
• Прямий вплив на продукт та архітектуру

• Можливість будувати AI systems від MVP до scale

   

📩 Як податись

Надсилайте:

• Актуальне CV англійською
• Ваш AI / LLM / LangGraph experience
• Telegram link

MINT is the leader in Advertising Resource Management (ARM) software, driving marketing transformation in the age of agentic AI. At the core of our innovation is an open enterprise platform that deploys autonomous AI agents to augment human teams across the marketing and advertising value chain, connecting marketing performance with enterprise growth and real business impact.

Thanks to a diverse team of over 300 professionals worldwide, we integrate technology, data, and agentic intelligence to redefine how global brands and agencies plan, execute, and optimize their advertising investments.

With the recent acquisitions of technology leaders Redmill Solutions and info³, MINT has further expanded its unified ecosystem, completing the long-awaited connection of media planning, buying, and execution within one intelligent environment.

Augmenting Advertising Intelligence. For more information, visit mint.ai.

The Role

We are looking for a skilled API Developer to collaborate with us on a consultancy basis.

In this role, you will craft and maintain the backbone of software interactions.

This is a consultancy engagement, not an employment contract. The selected consultant will work independently, bringing their specialized knowledge and experience to our projects.

Responsibilities

• Development of components and applications in Python / FastAPI / Django;
• Maintenance of existing applications;
• Tasks estimation;
• Writing unit tests;
• Writing technical documentation and reports;

This role will be a great fit if you have:

• 3+ years of experience with Python;
• Experience with Django;
• Experience with FastAPI;
• Experience with AsyncIO;
• Experience with Celery;
• Knowledge of Kafka;
• Knowledge of SQL and NoSQL databases;
• Knowledge of Docker;
• Understanding of the HTTP protocol and RESTful APIs;
• Command of Linux/UNIX environment (shell, scripting, tools);
• Passione for Testing (Unit and Integration Testing);
• Good English proficiency

Ideally, you'll also have:

• Experience with the DDD approach and Hexagonal Architecture;
• Experience with microservices;
• Experience with integrating third-party services;
• Knowledge of Go/Scala/JS

Interview Process

Candidates can expect the following steps in our interview process:

• HR Video Interview (30 minutes): A virtual interview with HR to provide an overview of the company and the role, as well as to gain insight into your experience and background.
• Technical Interview with Tech team (1 hour): A virtual interview with the API Developer Team Lead and/or other Team members, focused on your technical expertise, past experience, and problem-solving approach.
• Offer: after completing the interview process, successful candidates will receive an offer.

Typical base salary pay range:

MINT is committed to a diverse and inclusive workplace. MINT AI is an equal opportunity employer and does not discriminate on the basis of age, race, religion, color, national origin, gender, gender identity, gender expression, sexual orientation, immigration status, medical condition, protected veteran status, disability, genetic information, political views or activity, or other legally protected status.

About the role

We're looking for a software engineer with leadership experience to lead a small team building a product management ecosystem in the defense sector. This is not a purely managerial role — the lead continues writing code and contributing to development while coordinating the team, defining priorities, and owning delivery quality.

Responsibilities

• Develop and maintain internal deployment and product management tooling
• Build and maintain CI/CD pipelines (GitHub Actions)
• Own Docker-based build and deployment workflows
• Code reviews and technical quality across the team
• Team planning, backlog prioritization, cross-team sync
• Onboarding and mentoring team members

Requirements

• Strong Python: async, threads, concurrent programming
• Experience with Python web frameworks (FastAPI preferred)
• Deep understanding of Docker and containerization
• Linux: systemd, journald, containers, confident CLI usage
• Networking: HTTP(S), SSH, WebSocket
• Strong understanding of client-server architecture and API design
• Databases and ACID fundamentals
• Cloud or on-premise infrastructure experience

• English for technical communication

   

   

  Nice to Have

• Bare-metal / Raspberry Pi / embedded Linux (firmware flashing, secure boot)
• Information security fundamentals
• Python deployment optimization
• Experience with ArduPilot or other autopilot stacks

• Prior tech lead or mentoring experience

   

   

  What we expect from the lead

• Structured approach to planning — not purely ad hoc
• Clear cross-team communication: status, blockers, priorities
• Autonomy in technical decisions within the team's scope
• Readiness to grow ownership as the company scales

Role Overview

We are seeking an experienced Senior Bentley BIM Engineer to serve as a key technical leader in delivering complex infrastructure BIM models. This role involves leading multidisciplinary 3D delivery, integrating complex datasets, and ensuring high-quality, standards-compliant outputs across large-scale projects.

Key Responsibilities

Lead 3D Delivery
Develop, federate, and deliver multidisciplinary models (roads, rail, utilities) using OpenRoads Designer, OpenBuildings Designer, MicroStation, and Civil 3D.

Integrate Complex Data
Combine reality capture data (LiDAR, drone surveys, ContextCapture), surveyed topography, and Subsurface Utility Engineering (SUE) datasets into coordinated, clash-free models.

Drive Geospatial Accuracy
Manage coordinate systems, terrain surfaces, and utility quality levels (QL D–A) to ensure high-fidelity, construction-ready models.

Ensure Quality & Compliance
Act as the technical authority for QA/QC, clash detection, and compliance with ISO 19650. Ensure proper metadata integration and alignment with client BIM Execution Plans and delivery standards.

Mentor & Innovate
Guide and support junior modelers globally, enhance BIM workflows, and contribute to digital twin readiness within the Bentley Systems ecosystem.

Requirements

Experience

• 10+ years in infrastructure BIM modeling
• 6+ years leading large-scale civil, rail, or utility projects

Bentley Expertise

• Advanced, hands-on experience with:
  • OpenRoads Designer
  • OpenBuildings Designer
  • MicroStation CONNECT Edition
  • iTwin Platform

Data & Collaboration

• Strong experience with ProjectWise
• Proven ability to produce and manage federated 3D models

Technical Knowledge

• Solid understanding of surveying, SUE workflows, and mapping standards
• Strong ability to interpret construction documents and shop drawings

Client & Standards Integration

• Experience defining asset data exchange requirements with clients
• Ability to integrate metadata and adapt models to client-specific standards
• Experience working with coordinate systems, grids, workspaces, worksets, and seed file standards

Nice-to-Have Skills

Workflow Optimization & Automation

• Strong Excel and Bluebeam Revu skills
• Experience with Python scripting or Bentley SDK

Cross-Platform Coordination

• Familiarity with Autodesk Construction Cloud (ACC)
• Experience with Revit, Navisworks
• Knowledge of ArcGIS Pro

Advanced Bentley Tools

• OpenRail, OpenUtilities Designer, OpenGround
• Generative Design workflows

Data & Reality Capture

• Photogrammetry and metadata management
• Automation and scripting experience

We are looking for a Senior Python Engineer to build an MVP of a first-of-its-kind AI-powered VC due diligence evaluation platform, leveraging a 400+ point checklist based on their corporate experience. The role focuses on backend development, API design, and production integration with LLM models, like OpenAI, vector databases (Milvus) and additional AI services that could provide intelligent responses for the query. This position suits someone who is comfortable working at the intersection of backend engineering, data and OCR and integrating with AI systems.

Responsibilities:

• Design, develop, and maintain backend services using Python (3.12)
• Build and support high-performance REST APIs and service layers
• Implement asynchronous and multithreaded workflows for data processing and AI pipelines
• Integrate with LLMs and RAG-based architectures
• Work with vector databases (Milvus) and object storage (MinIO)
• Design and optimize data models across PostgreSQL and MongoDB
• Implement access control using Casbin
• Ensure performance, scalability, and reliability of backend services
• Collaborate closely with AI engineers, data specialists, and product teams
• Participate in code reviews and technical decision-making

Requirements:

• Strong experience with Python 3.12
• Experience with Litestar (or similar async frameworks like FastAPI)
• Hands-on experience with SQLAlchemy and Alembic
• Experience implementing authorization models (e.g., Casbin)
• Strong understanding of multithreading / concurrency patterns
• Experience with PostgreSQL and MongoDB
• Experience with Kafka and/or RabbitMQ
• Practical experience with AI / LLM integrations
• Understanding of RAG (Retrieval-Augmented Generation) architectures
• Experience with the AWS cloud platform
• English level - upper-intermediate

Nice to have skills:

• Experience with Kubernetes (K8s)
• Experience with LLM providers (OpenAI, Anthropic, open-source models)
• Familiarity with distributed systems and scalable architectures
• Experience with observability tools (logging, monitoring, tracing)

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

What is this project about?

This long-term fintech project is dedicated to simplifying taxes, tax refunds, and tax incentives in the US market. Our platform seamlessly integrates software and dedicated tax professionals to optimize users’ R&D tax credit services — supporting finance and tax-related business logic that has helped businesses claim billions of dollars in tax credits and incentives. Users simply upload their data, the platform performs analyses and generates the necessary tax forms, allowing clients to maximize their benefits efficiently.

What is the team size and structure?

You will be working in close collaboration with Senior Engineers, and communicate directly with the client, Lead, and PM from our side.

Hard skills

• 5+ years of professional backend development experience;
• Deep expertise in Python programming; strong experience with FastAPI or similar frameworks;
• Solid understanding of relational databases, particularly PostgreSQL;
• Strong knowledge of software design patterns and architecture best practices;
• Experience with RESTful API design and development;
• Experience with cloud platforms (preferably Azure);
• Experience with microservices architecture and containerization (Docker);
• Familiarity with Git-based workflows, CI/CD processes, and code reviews;
• Experience integrating third-party services and APIs (e.g., Salesforce, NetSuite);
• Experience with automated testing frameworks;
• Proven ability to build scalable, performant, and secure backend applications;
• Upper-Intermediate English level or higher.
   

Responsibilities

• Design, build, and maintain efficient, reusable, and reliable backend code in Python;
• Develop RESTful APIs and backend services integral to the Unified Partner Portal;
• Ensure seamless integration with platforms like Salesforce and NetSuite;
• Collaborate with front-end developers, UI/UX designers, product owners, and stakeholders to translate requirements into technical solutions;
• Develop rigorous automated tests to ensure system reliability and robustness;
• Optimize API performance and database queries for scalability, security, and maintainability;
• Monitor application performance and troubleshoot issues using observability tools (e.g., Datadog);
• Mentor and provide technical guidance to junior and mid-level developers;
• Document technical designs and processes clearly and comprehensively.
  
  How many stages of the interview are there?
• Interview with the Recruiter – up to 30 min.;
• Tech interview on our side – up to 1 hour.;
• Tech interview on our client side – up to 1 hour.

We're looking for a Founding AI Full Stack Engineer to help build and scale an AI-powered legal platform. The ideal candidate has strong experience with Python, TypeScript (Next.js), and full-stack product development, and is excited about solving complex problems using modern AI technologies.

Please note: strong Python skills are required. Hands-on experience with LLMs, AI agents, workflow automation, or retrieval-based systems is highly preferred. Startup experience and ownership mindset are big pluses.

Requirements

• 7+ years of professional software engineering experience.
• Strong full-stack development skills, particularly with Next.js (2+ years ), TypeScript, and Python (5 + years).
• Solid understanding of system architecture, APIs, and data modeling.
• Experience building and maintaining cloud-based solutions (AWS preferred).
• Ability to work independently in fast-changing environments and make sound technical decisions.
• Product-oriented mindset with a focus on delivering user value.
• Active use of AI development tools such as Claude, Codex, or similar.
• Strong communication skills and ability to explain technical concepts to non-technical stakeholders.
• Interest in understanding legal processes and applying technology to improve them.

Responsibilities

Product Development

• Develop and deliver full-stack features from backend architecture to user-facing interfaces.
• Collaborate with founders and customers to translate complex requirements into practical solutions.
• Take ownership of features throughout the entire development cycle, from planning to deployment and optimization.

Platform & Infrastructure

• Design and maintain scalable backend services and APIs.
• Build document processing systems for extracting and organizing legal data.
• Develop search capabilities that provide instant access to case-related information.
• Manage cloud infrastructure and monitoring on AWS.

AI & Automation

• Create AI agents that collect and structure client information.
• Build automated document generation workflows.
• Develop systems that learn from historical legal data to improve legal processes.

Nice to Have

• Experience working at an early-stage startup.
• Familiarity with AI agent architectures, retrieval systems, and workflow orchestration.
• Background in LegalTech, FinTech, or other regulated SaaS industries.
• Understanding of legal operations such as contracts, corporate formation, employment, or IP.

About ChatRevenue.ai 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid) to create the next generation of CRM systems.  

We’re building an AI-native CRM platform that completely redefines how sales automation works.  
By structuring data for intelligent automation, we enable agentic AI to design workflows, assist Sales Leaders and Reps in real time, and generate predictable sales funnels – all through a simple, chat-driven interface.  

Our mission: to build a CRM that works for User, not the other way around. 

About the role 

We are looking for a Principal Backend Engineer with strong Python experience and a proven track record of building and owning production backend systems. 

This is a hands-on engineering role focused on: 

• Python backend 
• FastAPI 
• Data-heavy systems 
• AI / LLM product features 
• System architecture and scalability 

We are looking for someone who can take ownership of a backend domain, make technical decisions, and build reliable systems from idea to production. 

What you will do 

• Design, build, deploy, and maintain core backend services using Python and FastAPI 
• Own backend architecture, data flows, and technical decisions in your domain 
  Build and scale data-intensive systems, integrations, and pipelines 
• Work on AI / LLM-driven product features together with the engineering team 
• Improve system performance, scalability, reliability, and observability 
• Contribute to engineering practices: testing, CI/CD, security, and code quality 
• Work closely with product and engineering to deliver high-impact features 

What we are looking for 

• 7+ years of hands-on backend development experience 
• Strong commercial experience with Python in production 
• Python should be your primary backend language 
• Strong experience with FastAPI, APIs, Docker, Git, and CI/CD 
• Experience owning backend systems end-to-end: architecture, performance, data, reliability 
• Strong knowledge of PostgreSQL and data-heavy systems  
• Experience building distributed, scalable, or high-load systems 
• Good understanding of system design and performance optimization 
• Ability to work with ambiguity and take ownership without micromanagement 
• High ownership, independence, and product mindset 

Nice to have 

• Experience integrating LLMs / AI into backend systems 
• Experience with RAG, embeddings, vector databases, or AI assistants 
• Experience with Kafka, Azure Event Hub, or other event-driven systems 
• Experience with Kubernetes and cloud infrastructure, especially Azure 
• Experience building ETL / ELT pipelines 
• Experience working with structured and unstructured data 
• Production observability, tracing, monitoring, and optimization experience 

This role is likely a strong match for people who 

• Enjoy owning backend systems end-to-end, not just implementing isolated tasks 
• Feel strongest in Python as their main backend language 
• Have worked on production systems where reliability, performance, and scale matter 
• Want to have direct influence on technical decisions and architecture 
• Are comfortable working in an early-stage, high-ownership environment 

What we offer 

• Remote-first setup 
• Flexible schedule aligned with European time zones 
• A core engineering role in an AI-native product 
• Direct influence on technical decisions and architecture 
• Real ownership and visible product impact 
• Opportunity to grow into technical leadership / domain ownership 

If you have strong Python backend fundamentals, experience owning production systems, and interest in AI-native products, we’d love to talk. 

We run a B2B data platform for the entertainment industry — it tracks talent, who represents them, the deals they're doing, and the data surrounding all of it. The product is established and has been around for almost 10 years with paying customers; we're not a pre-launch startup.
 

We're rebuilding the platform from Symfony/Angular to Django and React, and we're hiring a senior developer to lead the rebuild — owning the architecture, setting technical direction, and assigning and reviewing work for our current developer. After the rebuild ships, you'll stay on as the long-term owner of the system. 

This is a permanent role, not a contract that ends with the migration.

We want more than a ticket-taker. You should understand the business logic behind what you're building, push back when a requirement doesn't match how users actually work, and drive architecture decisions.

Must have

• 6+ years of professional Python/Django experience
• Strong experience building REST APIs with Django REST Framework
• Has built and shipped systems from scratch, and owned a codebase long-term
• Experience with data-heavy applications (large datasets, complex querying, migrations)
• Comfortable leading: planning work, delegating tasks, and reviewing another developer's code
• Strong written and spoken English — you'll work directly with non-technical stakeholders
• 4+ hours of daily overlap with US Eastern time
• Advanced English speaking

Nice to have

• Hands-on React experience (our frontend stack)
• Experience rebuilding or migrating legacy systems (Symfony familiarity a bonus)
• Django Admin customization
• Third-party API integrations