Jobs Python

Ми шукаємо Senior Python Backend Developer у продуктову команду, яка розробляє real-time платформу для крос-біржового арбітражу на perpetual futures.

Це технічно складний FinTech/crypto продукт із фокусом на швидкість виконання, стабільність, роботу з біржами та обробку даних у real-time.

Технологічний стек:

• Python 3.11+, asyncio, FastAPI, Pydantic
• PostgreSQL, SQLAlchemy async, Alembic, TimescaleDB
• Redis
• NATS JetStream, Kafka
• aiohttp, httpx, WebSockets
• ccxt та API криптобірж
• AWS, Docker, GitHub Actions
• Prometheus, Grafana, OpenTelemetry

Проєкт працює з Binance, MEXC, BingX, Bybit та іншими біржами.

Що потрібно буде робити:

• розвивати Python backend та існуючу мікросервісну архітектуру;
• працювати з real-time market data та execution flow;
• інтегрувати нові криптобіржі та підтримувати існуючі інтеграції;
• працювати з REST API та WebSockets;
• оптимізувати latency та продуктивність системи;
• працювати з PostgreSQL, Redis, Kafka/NATS;
• забезпечувати надійність системи при помилках, часткових відмовах та проблемах із зовнішніми API;
• працювати з trading logic: ордери, risk checks, retry/rollback, reconciliation;

• підтримувати observability та моніторинг системи.

   

Що ми очікуємо:

• 3+ роки комерційного досвіду з Python Backend;
• хороший практичний досвід з asyncio та асинхронним Python;
• досвід із FastAPI / Pydantic;
• впевнене знання PostgreSQL та SQL;
• досвід із distributed/event-driven системами та хоча б одним із брокерів: Kafka, NATS або RabbitMQ;
• розуміння concurrency, race conditions, retries, idempotency та partial failures;
• досвід інтеграції сторонніх API;
• самостійність та здатність працювати з технічно складними задачами.

Важливий момент:

На проєкті основний фокус саме на async Python. Тут не використовуються Django/DRF та Celery, тому нам важливий кандидат, який має реальний досвід роботи з asyncio та розуміє, як працюють конкурентність і event loop.

Умови:

• Формат: remote;
• Графік: 9:00–18:00 або 10:00–19:00;
• Оплата: у USD, двічі на місяць;
• невелика продуктова команда: Product Owner, Architect, Backend, Frontend, DevOps;

• мінімум бюрократії та багато самостійності.

   

Процес найму:

1. Коротка онлайн-зустріч із рекрутером.
2. Технічна співбесіда з CTO.
3. Офер.

На технічному етапі основний фокус буде на asyncio, concurrency, distributed systems, queues та поведінці системи при часткових відмовах.

We're seeking a talented AI Automation Engineer to build reliable AI-powered workflows that automate real business processes for clients in the US and Europe. If you're experienced with n8n, Make, APIs, and LLM integrations and enjoy turning manual processes into efficient automated systems, we'd love to hear from you!
 

Core Competence:
 

• At least 3 years of professional experience in automation, backend development, or a related technical role, with hands-on experience building and maintaining production workflows.
• Practical experience building workflows with n8n, Make, Zapier, or similar automation platforms.
• Working knowledge of JavaScript or Python for building custom logic, services, and integrations.
• Strong understanding of REST APIs, webhooks, OAuth, and third-party system integrations.
• Practical experience integrating OpenAI, Claude, or similar LLM APIs into automated workflows.
• Experience implementing error handling, retries, logging, monitoring, and human approval steps to ensure reliable automation.
   

Preferred Qualifications:
 

• Experience integrating HubSpot, Salesforce, Airtable, Google Workspace, Microsoft 365, or similar business platforms.
• Experience with voice or SMS automation using Twilio, GoHighLevel, or related tools.
• Experience self-hosting n8n using Docker.
• Understanding of workflow documentation and designing automations that can be maintained by client teams.
• Upper-intermediate level of English for clear and effective communication with international clients.
   

What We Offer You:
 

• Competitive compensation aligned with your skills, experience, and career ambitions.
• An innovative work environment with opportunities to build practical AI automation solutions using modern LLMs, workflow platforms, and business integrations.
• Direct communication with clients from the US and Europe and the opportunity to understand their processes and design effective solutions.
• Long-term cooperation with opportunities to move between projects and continue growing with the team.

We're seeking a talented Python Backend Developer to build reliable backend services for data-heavy SaaS platforms, integrations, and AI-powered products for clients in the US and Europe. If you enjoy owning backend features from data model to production, we'd love to hear from you!

Core Competence:

• At least 3 years of professional experience in backend development, with strong Python skills and hands-on experience building production applications.
• Strong experience with FastAPI and asynchronous programming; experience with Django or Flask is also relevant.
• Solid knowledge of PostgreSQL, including database design, indexing, migrations, and query optimization.
• Experience building REST APIs and background jobs for production applications.
• Proficiency with Docker, CI/CD, and at least one major cloud platform such as AWS, GCP, or Azure.

• Experience writing automated tests with pytest and following production-quality development practices.

   

Preferred Qualifications:

• Experience working with LLM APIs, RAG features, or AI-powered applications.
• Knowledge of Celery, Redis, or other queue and background-processing systems.
• Experience with Supabase, multi-tenant SaaS platforms, or role-based access control.
• Experience integrating third-party APIs such as Stripe, HubSpot, Google, or Twilio.

• Upper-intermediate level of English for clear and effective communication in a global team.

   

What We Offer You:

• Competitive compensation aligned with your skills, experience, and career ambitions.
• An innovative work environment with opportunities to build modern SaaS and AI-powered products and continuously develop your backend expertise.
• Direct communication with clients from the US and Europe and the opportunity to contribute to technical decisions.
• Long-term cooperation with opportunities to move between projects and continue growing with the team.

We're seeking a talented AI Engineer to build production-ready AI features and help turn LLM ideas into reliable products for clients in the US and Europe. If you're experienced with RAG, AI agents, and LLM APIs and want to work on real-world AI products, we'd love to hear from you!

Core Competence:
 

• At least 3 years of professional experience in software development, with strong Python and production backend development skills, preferably with FastAPI or a similar framework.
• Hands-on experience building RAG pipelines, including ingestion, chunking, embeddings, vector search, reranking, and citations.
• Practical experience with OpenAI and/or Anthropic APIs, function calling, structured outputs, and multi-step AI agents.
• Experience with vector databases such as Qdrant, pgvector, Pinecone, Weaviate, or similar technologies.
• Solid knowledge of PostgreSQL, Docker, REST APIs, Git, and production software development practices.
• Ability to communicate technical concepts and explain architectural trade-offs clearly to non-technical clients in English.
   

Preferred Qualifications:
 

• Experience with LangGraph, LangChain, LlamaIndex, or MCP servers.
• Knowledge of LLM evaluation and tracing tools such as LangSmith, Langfuse, or similar.
• Experience with voice agents, document AI, OCR, or related AI applications.
• Experience with TypeScript / Next.js for building interfaces around AI features.
• Upper-intermediate level of English for clear and effective communication with international clients.
   

What We Offer You:
 

• Competitive compensation aligned with your skills, experience, and career ambitions.
• An innovative work environment with opportunities to build production AI products for clients in the US and Europe and work with modern AI technologies.
• Direct communication with international clients and the opportunity to have a real impact on product and technical decisions.
• Long-term cooperation with opportunities to move between projects and continue growing with the team.

This is not a traditional fullstack development assignment. Client requires specialists capable of combining established software engineering practices with the design, integration and optimisation of AI-powered functionalities within business-critical banking applications.

The candidates will initially support the maintenance, stability and continuous improvement of existing applications. Over time, they will progressively assume full responsibility for implementing new functionality and translating business requirements into production-ready solutions.

Key responsibilities:
1. Maintain, troubleshoot and continuously improve existing applications and services to ensure stability, performance and reliability.
2. Independently analyse business requirements, design solutions and implement new application features and enhancements.
3. Contribute to the design, development and continuous improvement of AI-powered application functionalities.
4. Support the architecture and implementation of intelligent chatbot solutions powered by Large Language Models.
5. Develop and integrate application interfaces to enable reliable communication between internal systems, external platforms and AI services.
6. Participate in architectural decisions concerning application scalability, infrastructure, maintainability and security.
7. Support deployment, operation and optimisation of applications within cloud-native and containerised environments.
8. Collaborate closely with developers, architects, business stakeholders and other cross-functional team members.
9. Work within an Agile/Scrum environment, participating in planning, refinement, implementation and delivery activities.
10. Apply secure development practices, including protection against misuse, inappropriate content and unauthorised access.
11. Ensure that implemented solutio

Must-haves:
1. Python development: Strong professional experience developing, maintaining and optimising backend services using Python. Candidates must be capable of independently implementing complex business logic and delivering reliable, maintainable applications.

2. Angular 21+: Hands-on experience developing modern frontend applications using Angular version 21 or newer, including implementing new features, maintaining existing components and integrating frontend applications with backend services.

3. Fullstack software engineering: Proven ability to work across frontend and backend components, understand end-to-end application architecture and deliver complete functional solutions.

4. AI and LLM integration: Practical experience designing, developing and integrating AI-powered application components, particularly solutions based on Large Language Models.

5. LangChain and LangGraph: Hands-on experience with both frameworks to develop, orchestrate and manage LLM-driven workflows, application logic and AI-based interactions.

6. MCP and A2A: Practical experience with Model Context Protocol (MCP) and Agent-to-Agent (A2A) technologies for connecting AI systems, external tools and agent-based functionalities.

7. LLM chatbot development: Experience designing and implementing LLM-powered chatbot solutions, including conversation handling, integration with existing systems and production deployment.

8. Prompt Engineering: Ability to design, structure, test and optimise prompts to improve the quality, consistency, reliability and relevance of AI-generated responses.

9. OpenAI integration: Experience integrating OpenAI or comparable AI platforms into software applications through APIs and related integration mechanisms.

10. AI solution architecture: Understanding of architectural patterns for building secure, reliable, scalable and maintainable AI-powered software solutions.

11. Containerisation and orchestration: Practical experience with OpenShift, Kubernetes and Docker for deploying, managing and maintaining containerised applications.

12. GitLab and Helm: Experience using GitLab within software development workflows and Helm for managing application deployments in Kubernetes environments.

13. PostgreSQL: Experience working with PostgreSQL databases, including application integration, data persistence and database-related development activities.

14. REST API development: Strong experience designing, developing, integrating and maintaining REST APIs and other application interfaces.

15. Network infrastructure and security: Good understanding of networking principles, infrastructure components, secure communication and relevant application security concepts.

16. AI application security: Experience implementing security and protection mechanisms, specifically:
- Rate limiting to control request volumes and prevent misuse.
- Spam protection to reduce malicious or unwanted interactions.
- Guardrails to control AI behaviour and enforce application policies.
- Content filtering to prevent inappropriate or prohibited outputs.
- Content moderation to identify and manage potentially harmful user inputs and AI-generated content.
17. Agile/Scrum: Practical experience working within Agile software development teams, including sprint planning, collaboration, iterative delivery and continuous improvement.

18. Jira and Confluence: Experience using Jira for task and project tracking and Confluence for technical documentation and knowledge sharing.

19. Independent delivery: Ability to transition from supporting maintenance activities to independently owning the implementation of new features and business requirements.

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

• Flexible working hours

Summary

• Senior Python Engineer for Pathfinder (strategic roadmapping & portfolio planning platform) at a travel agency.
• Focus: backend, data processing, APIs, performance & scalability. Ukraine, ФОП 3 група

About the Client & Project

We are partnering with a travel agency. You will join a cross-functional team building Pathfinder - a complex, data-heavy web application designed for strategic roadmapping and portfolio planning.

The focus of this role is backend engineering, data processing, APIs, performance, and scalability.

About the Role

As a Senior Python Engineer, you will become part of a mixed internal and client-side team that includes:

• Senior Python Engineer(s)
• Senior Full-Stack Engineer
• Senior JavaScript Engineer
• Senior AQA / Manual QA
• Senior DevOps
• Senior Product Designer
• Solution Architect

You will work closely with the Solution Architect and the rest of the team within a shared tech stack. The environment is lean, fast-moving, and start-up-like, with evolving requirements.

Key Responsibilities

• Design and develop robust, scalable backend services and APIs
• Build efficient solutions for large-scale data processing, transformation, and aggregation
• Implement appropriate caching, queuing, batch processing, and optimisation where needed
• Write clean, testable, and maintainable code with strong automated test coverage
• Investigate and resolve complex technical and performance issues
• Collaborate closely with Solution Architect, AQA, Manual QA, and Front-end developers
• Design solutions with performance, scalability, reliability, and maintainability in mind
• Make pragmatic technical decisions considering cost, performance, and development effort
• Challenge unnecessary complexity and deliver what is actually needed

Requirements

• Strong commercial experience with Python and modern Python frameworks
• Proven ability to design and develop robust, scalable backend services and APIs
• Experience building efficient large-scale data processing, transformation, and aggregation solutions
• Strong knowledge of SQL and relational databases (query optimisation and data modelling)
• Experience with REST APIs, service integration, and asynchronous / background processing
• Solid understanding of software architecture and engineering principles (beyond framework-level development)
• Ability to analyse technical problems and choose the most appropriate solution
• Comfort working with complex data models and business logic
• Strong focus on performance and efficiency, especially when processing large datasets
• Clear understanding of the trade-offs between simplicity, scalability, and maintainability

Note: AWS experience is not required.

Nice to Have

• Strong engineering fundamentals and a pragmatic, no-over-engineering mindset
• Ability to take ownership of technically challenging backend and data-processing problems and deliver robust, evolvable solutions

Engagement Details

• Location: Ukraine
• Contract type: ФОП 3 група (FOP 3rd group)
• Model: Direct Hire
• Duration: 4 months (November start - contract will not be prolonged)
• Start date: Beginning of November
• Working hours: European time zone

We are looking for a Senior Python Developer for a very long-term project.

Must have Python: website scraping, FastApi, Websockets, asynchronous programming, object-oriented programming. 

Databases: SQL Server, Redis

Good English, the interview with the customer would be in English

Great communication, team player, hard worker, having a sense of urgency

Working hours Israel - from Sunday to Thursday, Friday Saturday days off 

Sometimes, needs to fix bugs during nights or weekends, depending on the level of code - the better level, the fewer issues

The project is about collecting and processing data for sports games, to provide data as a service for other services.

It's a data-collecting and processing platform, there are a lot of parsing and scraping tasks.

We are an outstaff company, working with a client for a long time, looking for a new team member to make the team stronger.

Project description

You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

Responsibilities

Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform

Build and enhance data processing pipelines using Java and Apache Spark

Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources

Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions

Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle

Translate business and regulatory requirements into robust technical solutions

Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality

Investigate and resolve data and application issues in development, test, and production environments

Improve application performance, scalability, and reliability for high-volume data processing workloads

Contribute to the design and implementation of reusable components and engineering best practices

Participate in code reviews, testing, and release activities to ensure high-quality deliverables

Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model

Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

Skills

Must have

6+ years of commercial experience with Python

2+ years of PySpark experience

Experience in designing and developing scalable, high-performance backend applications

Good knowledge of SQL and working with large datasets from multiple data sources

Strong problem-solving skills and ability to work effectively in a global distributed team

Nice to have

Experience in financial services, investment banking, or regulatory reporting projects

Familiarity with data quality, reconciliation, and control frameworks

Experience working with large-scale enterprise data platforms

Knowledge of cloud environments and modern data platform architectures

Understanding of CI/CD practices and automated deployment pipelines

Experience working in Agile / Scrum teams within a distributed global setup

• You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
  This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
  The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

   

• Responsibilities:

  - Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform
  - Build and enhance data processing pipelines using Java and Apache Spark
  - Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources
  - Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions
  - Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle
  - Translate business and regulatory requirements into robust technical solutions
  - Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality
  - Investigate and resolve data and application issues in development, test, and production environments
  - Improve application performance, scalability, and reliability for high-volume data processing workloads
  - Contribute to the design and implementation of reusable components and engineering best practices
  - Participate in code reviews, testing, and release activities to ensure high-quality deliverables
  - Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model
  - Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

   

• Mandatory Skills Description:

  - 6+ years of commercial experience with Python
  - 2+ years of PySpark experience
  - Experience in designing and developing scalable, high-performance backend applications
  - Good knowledge of SQL and working with large datasets from multiple data sources
  - Strong problem-solving skills and ability to work effectively in a global distributed team

   

• Nice-to-Have Skills Description:

  - Experience in financial services, investment banking, or regulatory reporting projects
  - Familiarity with data quality, reconciliation, and control frameworks
  - Experience working with large-scale enterprise data platforms
  - Knowledge of cloud environments and modern data platform architectures
  - Understanding of CI/CD practices and automated deployment pipelines
  - Experience working in Agile / Scrum teams within a distributed global setup

   

• Languages:
  • English: B2 Upper Intermediate

Project description

You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

Responsibilities

Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform

Build and enhance data processing pipelines using Java and Apache Spark

Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources

Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions

Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle

Translate business and regulatory requirements into robust technical solutions

Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality

Investigate and resolve data and application issues in development, test, and production environments

Improve application performance, scalability, and reliability for high-volume data processing workloads

Contribute to the design and implementation of reusable components and engineering best practices

Participate in code reviews, testing, and release activities to ensure high-quality deliverables

Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model

Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

Skills

Must have

6+ years of commercial experience with Python

2+ years of PySpark experience

Experience in designing and developing scalable, high-performance backend applications

Good knowledge of SQL and working with large datasets from multiple data sources

Strong problem-solving skills and ability to work effectively in a global distributed team

Nice to have

Experience in financial services, investment banking, or regulatory reporting projects

Familiarity with data quality, reconciliation, and control frameworks

Experience working with large-scale enterprise data platforms

Knowledge of cloud environments and modern data platform architectures

Understanding of CI/CD practices and automated deployment pipelines

Experience working in Agile / Scrum teams within a distributed global setup

Languages

English: B2 Upper Intermediate

Hey there!

We're Growth Channel a friendly team with Ukrainian roots, now based in Austin, Texas. We're building some cool stuff in AI and marketing tech, and we're looking for a Software Engineer (Python) to join our growing team.

What we're looking for:

• 4+ years of experience working with Python
• Solid skills in Django or FastAPI
• Strong database skills, schema design, and writing queries that stay fast as data grows
• Good general understanding of service-to-service communication — REST, webhooks, queues, retries, and auth between services. A lot of our system is instances talking to each other
• Great communication skills — you explain trade-offs clearly, ask questions early, and work well with a distributed team

Bonus points if you:

• Have some experience with JavaScript
• Know your way around AWS
• Have worked with async workers, background jobs, or event-driven systems
• Have touched AdTech, MarTech, or analytics-heavy products

What you'll be working on:

• Building and improving REST APIs
• Working on AI integrations
• Designing and maintaining the communication layer between our services
• Connecting our app with external tools and services
• Helping design and plan new features and system architecture

What we offer:

• Competitive salary with regular performance reviews
• Flexible working hours — work when you're most productive
• Supportive management and interesting projects
• A chance to grow your skills and career with us
• A collaborative, friendly team where your ideas really matter

Our hiring process:

• Quick intro call — 15–20 min
• Technical interview — 45–60 min
• Chat with our CEO — 30 min to learn more about the project

About Growth Channel

We're an AI-powered marketing intelligence platform that helps marketers plan, launch, and optimize campaigns across 150+ channels all from one easy dashboard.

If this sounds like your kind of gig, we'd love to hear from you! 🙌

We are looking for a highly skilled Senior Python Developer / Technical Lead with at least 7 years of experience to join our team. This is a hands-on leadership role: you will design and build backend systems yourself, lead small delivery teams, and take products from early proof of concept through to production. You will bring deep architectural understanding, strong expertise in our core stack (Python, FastAPI, MongoDB, PostgreSQL, SQLAlchemy, AWS), and practical experience building AI-powered solutions with Claude.

Key Responsibilities

Technical Leadership & Delivery

• Lead small, cross-functional delivery teams, owning end-to-end product delivery from concept and architecture through development, deployment, and production support.
• Rapidly design and build Proofs of Concept (POCs) and Minimum Viable Products (MVPs) to validate ideas, then evolve successful prototypes into scalable production systems.
• Define technical direction, break down work, set priorities, and keep delivery on track while staying hands-on in the codebase.
• Mentor and support developers, conduct code reviews, and promote engineering best practices across the team.

Architecture & Development

• Design, develop, and maintain scalable, secure, and robust backend solutions using Python and related technologies.
• Make sound architectural decisions covering system design, data modeling, API design, scalability, and trade-offs between speed and long-term maintainability.
• Build high-performance RESTful APIs using FastAPI and integrate with internal and third-party services.
• Optimize application performance and database queries across MongoDB and PostgreSQL.
• Write clean, efficient, reusable, and well-tested code following industry best practices.

AI & Claude Development

• Design and build AI-powered features and applications using Claude via the Anthropic API, including prompt engineering, tool use / function calling, and agentic workflows.
• Integrate LLM capabilities into products in a reliable, cost-efficient, and secure way, including evaluation, monitoring, and handling of model limitations.
• Use AI-assisted development tools such as Claude Code to accelerate delivery and raise team productivity.

Quality, Operations & Collaboration

• Implement comprehensive unit and integration tests to ensure code quality and maintainability.
• Work closely with DevOps to deploy, monitor, and scale applications on AWS.
• Troubleshoot and resolve production issues quickly and thoroughly.
• Collaborate with product managers, designers, and stakeholders to define, design, and ship new features.
• Stay current with developments in Python, cloud, and AI technologies and propose improvements to systems and processes.

Requirements

Mandatory

• Minimum 7 years of professional Python development experience.
• Proven hands-on leadership experience: leading small delivery teams while actively contributing code.
• Demonstrated track record of creating POCs and MVPs and taking products end-to-end into production.
• Deep understanding of software architecture, including system design, distributed systems, API design, and data modeling.
• Hands-on experience developing with Claude (Anthropic API), including prompt engineering, tool use, and building LLM-powered or agentic applications.
• Strong proficiency in FastAPI, MongoDB, PostgreSQL, SQLAlchemy, unit testing (e.g. pytest), and AWS.
• Solid understanding of object-oriented programming and design patterns.
• Experience with RESTful API development and integration.
• Experience with containerization technologies such as Docker.

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Nice to Have

• Experience with Claude Code, the Model Context Protocol (MCP), or retrieval-augmented generation (RAG).
• Familiarity with CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), and Kubernetes.
• Experience with other LLM providers or AI frameworks.
• Background in startup or fast-paced product environments.

What We’re Looking For

• Excellent problem-solving and analytical skills, with a pragmatic, delivery-focused mindset.
• Strong communication and interpersonal skills, able to explain technical decisions to both technical and non-technical stakeholders.
• Ownership and accountability for outcomes, not just tasks.
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities at once.

Join a Company That Invests in You

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

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

What We're Looking For

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

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

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

What You'll Do

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

Requirements

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

Nice to Have

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

Job Description

• 5+ years of relevant software development experience, 1+ on a technical lead position.
• 3+ years of experience in Python
• 3+ years of hands-on experience with automation systems
• 1+ years of experience in some web framework (Fast API + React)
• Database development (MySQL, PostgreSQL, SQLAlchemy, Alembic, etc)
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Proven track record in leading and mentoring software development teams.
• Excellent problem-solving and debugging skills, with a focus on delivering efficient and effective solutions.
• Exceptional communication and collaboration skills, with the ability to work effectively with stakeholders, team members, and cross-functional teams.
• Project management skills, including the ability to set realistic timelines, manage resources, and prioritize tasks.
• Quality-focused mindset, with a commitment to delivering high-quality software through adherence to coding standards and testing practices.
• Adaptability and willingness to learn, keeping up-to-date with new technologies and industry advancements.
• Strong understanding of software engineering principles and data architecture.

Not limited to other tools experience, but we require desire and ability to learn new tools:

• CI/CD pipelines on both GitLab and Jenkins
• Observability (Grafana, Prometheus, Otel, etc)
• Automation Framework (pytest/unittest, playwright/cypress/selenium)
• Server administration (Linux, SSH, Docker, Kubernetes, etc)
• Cloud services (AWS, GCP, Azure)
• AI tooling in day-to-day work to boost self-productivity (IDE assistants)
• AI tools implementation, integration into existing services to boost user's productivity (Embedding, Vector Database, LangChain, etc)

Job Responsibilities

• Build innovative features for next generation tracking solution
• Determine the strategic tactical direction of the front-end architecture
• Participate in development process, including scoping, technical design, estimation effort, coding, testing, debugging, code reviews, maintenance and support
• Collaborate with program managers, marketing, designers, software engineers in tests to build and enhance the UI
  Innovate and create the best user experience online

Department/Project Description

Our Client is the leader of the US Broadcasting Market and one of the biggest companies on that is providing Broadcasting Media Entertainment to users on OTT.

Softcery builds production-ready conversational AI systems for B2B software platforms. We partner with software companies in the US and UK to build AI agents, copilots, voice interfaces, and conversational layers that integrate directly into their products. Our team focuses on complex AI engineering - building reliable, scalable systems that work with real users, workflows, and product infrastructure. We combine deep AI expertise with strong product thinking to help companies move from AI prototypes to production-ready systems they can own and scale.

We are looking for a Strong Middle AI Engineer to lead the delivery of AI-powered products for international clients. You'll work on complex AI systems with a strong focus on Voice AI, collaborating directly with clients and taking ownership of features from design to production. 

What You'll Do:

• Deliver production-ready AI solutions for international clients from concept to deployment.
• Design and build AI-powered applications with a strong focus on Voice AI and intelligent automation.
• Integrate LLMs, third-party APIs, and business systems into scalable software solutions.
• Own technical implementation, make architectural decisions, and ensure high code quality.
• Collaborate directly with clients to clarify requirements, discuss technical solutions, and deliver business value.

• Continuously explore new AI technologies and apply them to real-world customer challenges.

   

What We're Looking For:

• 3+ years of commercial experience in Python development.
• Hands-on experience with developing AI-powered applications.
• Strong software design and problem-solving skills.
• Ability to independently own features and deliver projects with minimal supervision.
• Excellent communication skills and confidence working directly with international clients.
• English – Advanced (C1).

Will be a plus:

• Experience with React and Node.js.

What We Offer:

• Structured onboarding – a clear onboarding plan, documented workflows, and a team that has your back.
• Flexible remote schedule – work from wherever and whenever you're most productive.
• Learning budget – we cover books, courses, English lessons, and AI tools for your professional growth.
• Full accounting support – so you can focus on the work, not the paperwork.
• Time off – 20 paid vacation days, 12 sick days, 2 paid period leave days/month (for women), and your birthday off.
• IT Cluster membership – access to professional events and networking opportunities in the local tech community.

🔁 Hiring Process: Screening → Technical interview→ Test Task → Final Interview.

If you enjoy taking ownership, solving complex engineering challenges, and building AI products that create real business impact, we'd love to meet you 👋