Jobs Python

About Us

We’re building a mental wellness app designed to deliver personalised, accessible, and impactful support to users worldwide. Our mobile app is already live and growing fast, and we’re now looking for a talented Backend Developer to join our team and help take the product to the next level.

The Role

You'll own and evolve the server-side logic that powers our apps — designing and shipping APIs consumed by mobile and web clients, strengthening our microservices ecosystem, and helping us scale reliably and securely. You'll work closely with frontend and mobile engineers, DevOps, and product.

Key Responsibilities
 API & Auth
 

• Design and maintain RESTful APIs for iOS, Android, and web
• Build high-throughput async endpoints
• Implement JWT auth flows and OAuth 2.0 social login (Apple, Google)

Microservices & Architecture
 

• Develop and maintain core services: User, Content, Tracking, Analytics, Notification
• Design stateless, fault-tolerant services for horizontal scaling
• Contribute to Golang services for high-concurrency analytics and notification dispatch

Database & Caching
 

• Write optimized PostgreSQL queries; design schema migrations indexes
• Implement time-based table partitioning for analytics and journal data
• Configure PgBouncer pooling, read/write splitting, and materialized views
• Build and invalidate multi-layer Redis caches (sessions, content metadata, preferences)

Integrations
 

• Apple HealthKit (sleep, HRV, mindful minutes, activity sync)
• In-app purchases: App Store API and Google Play Billing verification
• Push notifications via Firebase Cloud Messaging (iOS & Android)
• Stripe for web subscription payments; Amazon Polly for TTS in meditations

Security & GDPR
 

• GDPR features: data export (JSON), 30-day automated deletion, consent management
• AES-256-GCM encryption for sensitive mental health data fields
• Enforce TLS 1.3, HSTS, Perfect Forward Secrecy; contribute to RBAC and audit logging

DevOps & Quality
 • Maintain Dockerfiles and multi-stage build configs; participate in GitLab CI/CD pipeline
 • Support blue-green deployments and canary rollouts (10% traffic routing)
 • Write unit, integration, and contract tests using pytest

Requirements
Must Have
 • 5+ years backend development in Python
 • Confident working with the Flask and FastAPI frameworks.
 • Experience with Golang, JavaScript, and HTML.
 • VPS management skills on AWS: initial setup, application deployment, performance optimization, updates, security, and monitoring.
 • Experience working with Elasticsearch.
 • Strong PostgreSQL skills: schema design, query optimization, indexing, migrations
 • Redis for caching, session management, and rate limiting
 • JWT authentication, OAuth 2.0, and security best practices
 • Experience with pytest and contributing to CI/CD pipelines
 • Comfortable working in a Docker-based microservices environment
 • Knowledge of GDPR requirements and privacy-by-design practices
 • Proficiency with Git and collaborative workflows (GitFlow)

AI & Automation

• Strong understanding of AI-powered development workflows and modern AI tools
• Experience using AI-assisted coding tools such as ChatGPT, Claude, GitHub Copilot, Cursor, and Lovable
• Ability to leverage AI tools to improve development speed, debugging, documentation, testing, and code quality
• Understanding of AI integrations, LLM APIs, prompt engineering, and AI-assisted automation workflows
• Experience working with AI-generated code while maintaining high standards for security, scalability, and maintainability

About Us

We’re building a mental wellness app designed to deliver personalised, accessible, and impactful support to users worldwide. Our mobile app is already live and growing fast, and we’re now looking for a talented Backend Developer to join our team and help take the product to the next level.

The Role

You'll own and evolve the server-side logic that powers our apps — designing and shipping APIs consumed by mobile and web clients, strengthening our microservices ecosystem, and helping us scale reliably and securely. You'll work closely with frontend and mobile engineers, DevOps, and product.

Key Responsibilities
 API & Auth
 

• Design and maintain RESTful APIs for iOS, Android, and web
• Build high-throughput async endpoints
• Implement JWT auth flows and OAuth 2.0 social login (Apple, Google)

Microservices & Architecture
 

• Develop and maintain core services: User, Content, Tracking, Analytics, Notification
• Design stateless, fault-tolerant services for horizontal scaling
• Contribute to Golang services for high-concurrency analytics and notification dispatch

Database & Caching
 

• Write optimized PostgreSQL queries; design schema migrations indexes
• Implement time-based table partitioning for analytics and journal data
• Configure PgBouncer pooling, read/write splitting, and materialized views
• Build and invalidate multi-layer Redis caches (sessions, content metadata, preferences)

Integrations
 

• Apple HealthKit (sleep, HRV, mindful minutes, activity sync)
• In-app purchases: App Store API and Google Play Billing verification
• Push notifications via Firebase Cloud Messaging (iOS & Android)
• Stripe for web subscription payments; Amazon Polly for TTS in meditations

Security & GDPR
 

• GDPR features: data export (JSON), 30-day automated deletion, consent management
• AES-256-GCM encryption for sensitive mental health data fields
• Enforce TLS 1.3, HSTS, Perfect Forward Secrecy; contribute to RBAC and audit logging

DevOps & Quality
 • Maintain Dockerfiles and multi-stage build configs; participate in GitLab CI/CD pipeline
 • Support blue-green deployments and canary rollouts (10% traffic routing)
 • Write unit, integration, and contract tests using pytest

Requirements
Must Have
 • 5+ years backend development in Python
 • Confident working with the Flask and FastAPI frameworks.
 • Experience with Golang, JavaScript, and HTML.
 • VPS management skills on AWS: initial setup, application deployment, performance optimization, updates, security, and monitoring.
 • Experience working with Elasticsearch.
 • Strong PostgreSQL skills: schema design, query optimization, indexing, migrations
 • Redis for caching, session management, and rate limiting
 • JWT authentication, OAuth 2.0, and security best practices
 • Experience with pytest and contributing to CI/CD pipelines
 • Comfortable working in a Docker-based microservices environment
 • Knowledge of GDPR requirements and privacy-by-design practices
 • Proficiency with Git and collaborative workflows (GitFlow)

AI & Automation

• Strong understanding of AI-powered development workflows and modern AI tools
• Experience using AI-assisted coding tools such as ChatGPT, Claude, GitHub Copilot, Cursor, and Lovable
• Ability to leverage AI tools to improve development speed, debugging, documentation, testing, and code quality
• Understanding of AI integrations, LLM APIs, prompt engineering, and AI-assisted automation workflows
• Experience working with AI-generated code while maintaining high standards for security, scalability, and maintainability

Project overview:

Group107 is building a dedicated AI Unit to drive automation across the company and deliver AI-powered solutions for client projects.

We are hiring Junior AI Developers who think fast, learn faster, and are already productive with modern AI-assisted development workflows.

You will work directly under the Tech Director and grow into autonomous AI engineers capable of owning full delivery pipelines.

Requirements:

• 1+ year of hands-on software development experience (commercial or substantial personal projects)
• Demonstrable proficiency with AI coding tools: Claude Code, Cursor, GitHub Copilot, or equivalent
• Working knowledge of at least one: TypeScript/JavaScript or Python
• Experience deploying web applications (Vercel, Netlify, or similar)
• Understanding of LLM fundamentals: prompting, context windows, token management, tool use
• Ability to read, debug, and refactor AI-generated code critically — not just accept output blindly
• Git proficiency and basic CI/CD awareness
• Strong English communication (both written and spoken)
   

Nice to have:

• Experience with v0, Bolt, Lovable, Replit Agent, or similar AI app builders
• Familiarity with MCP (Model Context Protocol) and agentic AI patterns
• Contributions to open-source AI tools or published AI-related content
• Experience with RAG pipelines, vector databases, or embeddings
• Backend experience with Node.js, Next.js, or FastAPI
• Understanding of DevOps basics: Docker, serverless functions, edge computing
   

Responsibilities:

• Build internal automation tools and workflows using AI coding assistants (Claude Code, Cursor, Copilot)
• Develop and ship AI-powered features and full applications for client projects
• Prototype rapidly using vibe-coding methodology — prompt-driven development with AI pair-programming
• Integrate LLM APIs (Anthropic, OpenAI, open-source models) into production systems
• Deploy and maintain applications on modern platforms (Vercel, Cloudflare, AWS)
• Create and manage AI agents, MCP servers, and tool-use pipelines
• Evaluate, benchmark, and select AI models and tools for specific use cases
• Document solutions, write technical specs, and contribute to the internal knowledge base
  
  We offer:
• 20 vacation days (workdays)
• 7 sick days
• Personalized career growth
• Education reimbursement
• Corporate events and team buildings
• Equipment provided

The product company is looking for a Python Engineer (AI/ML) in Warsaw.

The company is a successful market leader, a live-streaming Platform with 450+ Million registered users.
Their B2C mobile platform allows millions of talented people worldwide to connect with their fans and monetize their talents.
The company was founded in 2018 in the USA and is powered by 350+ global employees.

► They offer: options, medical insurance (100% for employees and 75% for family members), lunch in the office, parking, multisport card.

► Requirements: experience with AI/ML, Flask, microservices, NoSQL databases.

We work with startups and established companies to create products in healthcare, fintech, eCommerce, and AI. This role offers real variety — new domains, evolving challenges, and steady professional growth instead of being locked into a single legacy system.

If you’re motivated by fast learning and building features that go live, this might be the right place for you.

What You'll Do

• Build and ship features - from small tasks to full modules as you grow
• Write clean code and learn best practices through code reviews
• Work alongside experienced engineers who'll help you level up
• Learn how production apps are built and scaled
• See different products and industries - faster learning curve

What We Work With

⚡ Python, FastAPI, Django, Pydantic, PostgreSQL, uv, Ruff

Gets You Extra Points

• Familiar with SQLModel, Alembic
• Used AI coding tools (Cursor, Claude Code, Copilot)
• Hands-on experience with any LLM integration
• Basic prompt engineering skills

What You Bring

• Solid understanding of Python
• Understanding of REST APIs
• Basic experience with SQL databases
• English: Intermediate+
• Willingness to learn and take feedback

What You Get

Work & Growth:

• Fully remote, flexible hours
• Structured code reviews
• Senior engineers who help you level up
• English practice sessions

Compensation:

• Salary in USD
• Performance reviews twice a year
• 15 days paid vacation + sick leave

🚀 Ready to level up? Apply now.

We are looking for a Senior 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
• 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)

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)

We are looking for an experienced backend engineer to help River migrate our messaging integration from Unipile to direct Meta APIs.

The project involves integrating directly with Meta's messaging products, including Instagram Messaging, Facebook Messenger, and WhatsApp Cloud API. The goal is to support account connection, incoming message webhooks, outbound replies, message status updates, attachments/media, and reliable error handling.

You should have strong experience with:
- Meta Graph API
- Instagram Messaging API
- Facebook Messenger Platform
- WhatsApp Cloud API
- Webhooks and event processing
- OAuth and token management
- Python backend development
- Async APIs, Pydantic, and FastAPI-style services
- PostgreSQL or Supabase
- Google Cloud, Pub/Sub, Cloud Functions, or similar infrastructure
- Meta platform policies, app permissions, and webhook security

Responsibilities:
- Implement direct Meta account connection flows
- Receive and verify Meta webhooks
- Normalize incoming messages into our existing inbox system
- Send outbound messages through Meta APIs
- Support media and attachments
- Handle reconnects, token expiration, retries, rate limits, and provider errors
- Add tests and staging validation for the integration
- Help River safely migrate away from the current Unipile-based integration

Nice to have:
- Experience with Meta App Review
- Experience with WhatsApp message templates
- Experience migrating from a third-party messaging aggregator
- Experience working with CRM, inbox, or customer messaging products

Policy compliance:
- You understand Meta's usage policies around outreach, follow-ups, templates, consent, and other message types.

Please apply with examples of previous Meta, WhatsApp, Instagram, Messenger, or webhook-based integrations you have built.

We are looking for someone who can own the integration end-to-end, communicate clearly, and work carefully inside an existing production codebase.

About the project
 

US-founded media company operating email newsletters at scale – millions of subscribers across finance, health, and business verticals. Small engineering team, flat structure, direct ownership, fast iteration. No layers of approval, no large org to navigate.

You'll own the AI layer of the automation platform alongside a counterpart engineer who handles integration and infrastructure.
 

What you'll work on

• AI-driven content generation and management workflows at production scale
• Agent systems coordinating multi-step operational tasks: content, QA, validation, reporting
• RAG pipelines over internal knowledge bases and operational data
• Prompt architectures designed for reliability, cost control, and measurable output quality
• Evaluation and regression testing for LLM systems — "it looked fine when I tested it" isn't good enough
   

Real production systems, not demos. The work removes hours of manual operational work daily and needs to be reliable enough that people actually trust it.
 

Requirements

• 6+ years of development experience
• 4+ years of production Python
• 2+ years shipping production systems with LLMs and agents
• Solid understanding of what happens underneath the frameworks: tokenization, context windows, function calling, when RAG helps and when it doesn't
• Hands-on with agent orchestration: LangChain, LangGraph, MCP, or equivalent
• Clean, maintainable Python – frameworks support your thinking, not replace it
   

Tech stack

Python · FastAPI · PostgreSQL · LLM APIs (OpenAI, Anthropic) · LangChain / LangGraph / MCP · vector databases · Playwright · Docker · proxy infrastructure
 

Conditions

• B2B contract, full-time
• Warsaw office (onsite preferred, remote considered)
• Direct collaboration with technical PM and small senior team
• Fast-moving environment: ambiguity, shifting priorities, growing scope

As an AI Engineer, you will be at the forefront of our innovation engine, architecting the next generation of intelligent agentic systems. This isn't just about prompt engineering; it's about building scalable, production-ready Generative AI ecosystems that solve high-stakes business challenges.

Key Responsibilities

• Architect & Deploy: Design end-to-end GenAI solutions, specialized AI agents, and high-performance RAG pipelines.

• Lead Innovation: Rapidly build and validate Proof of Concepts (PoCs) to showcase the "art of the possible" to stakeholders.

• Consult & Collaborate: Partner with cross-functional teams and interface directly with clients to translate complex needs into tailored AI strategies.

• Research & Evaluate: Stay ahead of the curve by benchmarking emerging models, agentic frameworks, and dev kits.

The Profile

• The Experience: 3+ years of industry-hardened experience in Applied AI or Machine Learning.

• The Tech Stack: Expert-level command of agentic frameworks (LangGraph, Agno, Google ADK) and Vector Databases.

• Cloud Fluency: Deep familiarity with at least one major Hyperscaler (GCP, AWS, or Azure).

• Bonus Points: Proficiency with the Google Cloud AI stack (Vertex AI, Gemini), MLOps (Docker/K8s), and rigorous evaluation frameworks like RAGAs or LangSmith.

• AI agent building: know-how.

Compensation: USD 2,000–3,500/mo depending on seniority and specific stack match. Remote, full-time. English B2 or higher is required for client-facing work.

We are looking for a Python /C++ Software Engineer to join our autonomous systems control team.

This role is a strong fit for an engineer who is comfortable with mathematics, and is interested in growing into control engineering for autonomous systems.

We consider engineers at Middle+ level.

Responsibilities:

• Develop and maintain control and decision-making algorithms for autonomous guidance
• Perform testing in simulation environment and in real life
• Analyze system behavior and logs
• Navigate through research papers and algorithm descriptions in field of autonomous systems and apply them in practice

Required qualifications:

• 3+ years of software development experience in ML, robotics, simulation, gamedev or other algorithmically intensive domains
• Strong programming skills in Python and C++
• Hands on experience with concurrent and parallel programming
• Mathematical background, including: linear algebra (vectors and matrices, coordinat systems and transformations) calculus (derivatives and integrals)

Would be an advantage:

• Control theory fundamentals
• Olympiad programming
• Signal processing
• Machine Learning
• Mavlink
• Simulation tools (Gazebo, AirSim)
• ITL, HITL testing
• X4, Betaflight, ArduPilot

What We Offer:

• Opportunity to work on cutting-edge embedded products
• Competitive salary and benefits
• Flexible working model (remote / hybrid / onsite)
• Professional growth and learning opportunities
• Collaborative and engineering-focused culture

Quintagroup is looking for Senior Python Developer to join a leading European fintech product company. 

Technology stack: Python 3.11, Django 4.2, Postgres, AWS (EventBridge, Lambda, ECS, RDS, DynamoDB etc.), Docker, Pandas, Polars, Terraform

RESPONSIBILITIES:

• development with Python, AWS
• participation in planning and execution stages
• communicate with international (UK/UA/US) development team and CTO 

REQUIREMENTS

• 5+ years of experience with Python
• Experience with AWS and Python frameworks
• Able to work in a team-oriented, collaborative environment
• Ability to share knowledge

Customer methodologies and tools

• Scrum (2 week sprints)

Senior Python Developer - Project tech stack:

• Python
• AWS

WE OFFER:

• Long term projects
• A company with a specialization in Python development for the last 22 years
• Health insurance
• Different work models (remote, office, or hybrid remote/office options)
• Projects in AWS, Azure, GCP
• Different domains of projects: FinTech, EdTech, GovTech, IoT, e-commerce, marketplaces, e-auctions, e-learning, public procurement, interesting tasks, possibilities for career and professional growth
• Friendly atmosphere and good working conditions
• regular team-buildings and corporate parties
• Online English classes
• Flexible working hours
• Experience with new technologies

We are looking for a Senior Python Engineer to join our team. The primary focus will be on building and maintaining high-performance, scalable, and secure applications for the Healthcare domain. Our team contributes to the development of a specialized ecosystem of services from scratch to support and optimize Health Information Exchange (HISP) workflows.

Responsibilities:

• Design, develop, test, and maintain applications and services.
• Write clean, efficient, and maintainable code following best practices and coding standards.
• Optimize applications for performance, scalability, and security.
• Troubleshoot, debug, and resolve technical issues.
• Communicate with internal product owners and stakeholders
• Document technical solutions and maintain up-to-date system knowledge.

Requirements:

• Python (4+years) - Flask, Gunicorn, pytest; production microservices, async patterns
• GCP - Cloud Run, Cloud Workflows, Cloud Tasks, GCS, BigQuery, Pub/Sub, Secrets Manager, Google Healthcare API
• Scripting - Typescript, Next.js
• Terraform for GCP infrastructure-as-code
• AI-Assisted Coding

Good to have:

• FHIR
• PostgreSQL
• Redis
• Docker, GKE
• Healthcare Domain Knowledge - FHIR, HL7 C-CDA and CCD Parsing, NLP pipelines
• React.js, Tailwind CSS
• Java - Spring, Spring Boot, Hibernate

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

*not applicable for freelancers

N-iX is looking for a skilled Python Engineer to join our team. The primary focus will be on building and maintaining high-performance, scalable, and secure applications for the Healthcare domain. 

Responsibilities

• Design, develop, test, and maintain applications and services.
• Write clean, efficient, and maintainable code following best practices and coding standards.
• Optimize applications for performance, scalability, and security.
• Troubleshoot, debug, and resolve technical issues.
• Communicate with internal product owners and stakeholders
• Document technical solutions and maintain up-to-date system knowledge.

Requirements

• Python (3+years) - Flask, Gunicorn, pytest; production microservices, async patterns
• GCP - Cloud Run, Cloud Workflows, Cloud Tasks, GCS, BigQuery, Pub/Sub, Secrets Manager, Google Healthcare API
• Scripting - Typescript, Next.js
• Terraform for GCP infrastructure-as-code
• AI-Assisted Coding

Nice to have

• FHIR
• PostgreSQL
• Redis
• Docker, GKE
• Healthcare Domain Knowledge - FHIR, HL7 C-CDA and CCD Parsing, NLP pipelines
• React.js, Tailwind CSS
• Java - Spring, Spring Boot, Hibernate

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

*not applicable for freelancers

About the Project

You'll be joining an existing remote engineering team building and maintaining an internal automation platform.

You'll own Python services end-to-end: designing the automation logic, running it in production, handling failures, and verifying real-world outputs.

What You'll Do

• Build and maintain browser automation workflows using Playwright against real-world web portals
• Own Python services from design to production - orchestration, error handling, monitoring
• Design and implement retry logic, alerting, and failure recovery for production-grade automations
• Work with workflow orchestration tools (Prefect) to schedule and manage data pipelines
• Integrate LLMs and OCR into automation pipelines where needed
• Write and maintain SQL queries, work directly with PostgreSQL as the primary data store
• Deploy and operate services in AWS using Docker and CI/CD pipelines

Requirements

• 4+ years of production Python experience
• Hands-on experience with browser automation - Playwright (preferred), Selenium, or equivalent, used in real commercial projects
• Senior-level ownership: you debug production issues independently, design error handling and retry strategies, and instrument your services
• Active daily user of AI coding tools (Claude Code / Cursor or equivalent) — you know how to verify and guide AI output
• English B2 - comfortable with written communication (PRs, issues, Slack) and spoken syncs (daily standups, ad-hoc calls)

Strong Plus

• Front-end basics - ability to build dashboards, admin pages, reports, or customer-facing portals
• Workflow orchestration - Prefect, Airflow, Celery, or similar
• ETL and data pipeline experience - data validation, transformation, loading
• PostgreSQL — schema design, complex queries, direct database work

What we offer:

📈Professional Growth opportunities:

• Ambitious goals and interesting projects;
• Regular & transparent performance review and feedback process;
• Possibility for both vertical or horizontal growth (in case you want to try a different path).

😌Comfortable Working conditions

• Flexible working hours;
• Provision of required equipment;
• Remote working model.

🎁Benefits program

• 18 working days of fully paid vacation;
• Free tax reporting support by our Financial department;
• Help with individual entrepreneurs’ questions and accounting support;
• Financial support and additional days off for various occasions (e.g. marriage, childbirth, etc.);

Join a Company That Invests in You

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

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

What We're Looking For

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

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

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

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

What You'll Do

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

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

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

-Optimize token usage without sacrificing answer quality.

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

Requirements

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

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

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

Nice to Have

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