Jobs Python

Your Mission

Design, develop, and deploy AI agents that automate complex business processes.
 

You will build intelligent systems capable of understanding business context, interacting with enterprise software, making decisions, communicating with users, and executing tasks autonomously.

Your work will directly impact how companies operate by replacing repetitive manual work with AI-driven automation.

What You'll Do:

Build AI Agents

• Design and develop autonomous AI agents
• Build multi-agent systems
• Create reusable agent architectures
• Implement reasoning and planning workflows
• Build conversational AI assistants
• Develop industry-specific AI solutions
   

Automate Business Processes

Create AI agents for areas such as:

• Sales
• Customer Support
• Finance
• Procurement
• HR
• Project Management
• Operations
• Healthcare
• Manufacturing
• Logistics

Integrate Enterprise Systems

Connect AI agents with:

• CRM systems, ERP platforms
• 1C
• Google Workspace
• Slack, Telegram
• Jira
• HubSpot, Salesforce
• SAP, Dynamics 365
• Internal APIs
• Databases
   

Required Qualifications

Must Have

• 3+ years of software engineering experience
• Strong Python development skills
• LangChain / LangGraph
• Vector databases
• Experience building production AI-powered applications
• Experience working with LLM APIs (OpenAI, Anthropic, Gemini, or Azure OpenAI)
• Prompt engineering experience
• REST API development, PostgreSQL
• Strong problem-solving skills
• Upper- intermediate English (verbal) skills
   

Nice to Have

• MCP (Model Context Protocol)
• TypeScript, Node.js
• Playwright
• Browser automation
• OCR
• Speech-to-Text
  
  Бенефітна корзинка від нас:
• 🏝️18 working days of paid vacation (annually);
• 🤒Paid sick leaves (annually) 10 days;
• 👌Flexible working schedule;
• 💻Hybrid work (office/home);
• 🐶Pet-friendly office;
• 💃Team buildings and corporate events;
• ✅Accounting services;
• 🥳Vacation on your Birthday — 1 workday.
• 🛡️ можливість бронювання

Description:
The project is an AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. It is the simplest, safest and fastest way to realize the benefits of scaled AI – delivering better-informed creative ideas faster, at scale and at lower cost.
We’re endlessly curious and our team of thinkers, builders, creators and problem solvers are over 2,000 strong, across 20 markets around the world.

We are seeking a talented and experienced Backend Engineer to join our engineering team. You will be instrumental in designing, developing, and maintaining the robust and scalable backend systems that power our cutting-edge marketing technologies, including the AI platform. If you have a passion for building high-performance APIs, working with large datasets, and contributing to the future of AdTech, we want to hear from you.

Requirements

• 4+ years of professional experience in backend software development.
• Strong proficiency in Python
• Extensive experience designing and building RESTful APIs.
• Solid understanding of database systems.
• Experience with cloud platforms GCP and developing cloud-native applications.
• Familiarity with containerization technologies (Docker).
• Knowledge of message queues/event streaming platforms (e.g., Kafka, RabbitMQ, SQS/SNS) is highly desirable.
• Experience with microservices architecture and distributed system design.
• Proficiency with version control systems, particularly Git.
• Strong problem-solving skills, analytical thinking, and attention to detail.
• Excellent communication and collaboration skills to work effectively within cross-functional teams.

Job responsibilities

• Design and Develop Robust Backend Systems
• Design, develop, and implement high-performance, scalable, and resilient backend services and APIs (REST, gRPC) that support our various data products and AI platforms.
• Write clean, maintainable, and efficient code in Python using best practices and appropriate design patterns.
• Collaborate with architects and senior engineers to define system architecture, data models, and integration strategies.
• Integrate with internal and external data sources, AI/ML services, and third-party APIs relevant to the AdTech ecosystem.
• Ensure Scalability, Reliability, and Performance
• Optimize existing backend services for maximum speed, scalability, and stability, handling large volumes of data and traffic inherent in the AdTech domain.
• Implement robust monitoring, logging, and alerting solutions to proactively identify and address system issues.
• Participate in performance tuning, troubleshooting, and debugging of complex backend systems.
• Contribute to the continuous improvement of our deployment processes, CI/CD pipelines, and cloud infrastructure interactions.
• Uphold Code Quality and Best Practices
• Conduct thorough code reviews, ensuring adherence to coding standards, security best practices, and architectural guidelines.
• Develop comprehensive unit, integration, and end-to-end tests to guarantee the quality and reliability of backend components.
• Contribute to technical documentation, including API specifications, architectural diagrams, and system runbooks.
• Actively participate in the agile development process, including sprint planning, daily stand-ups, and retrospectives.

We are looking for an experienced Senior Full-Stack AI Engineer to help build a next-generation AI platform that enables ambitious professionals to learn, collaborate, and make better decisions in their domains.

You'll work across the entire product stack from designing intuitive user experiences to building scalable backend services and integrating modern AI capabilities such as LLMs, vector search, and Retrieval-Augmented Generation (RAG).

We're looking for someone who enjoys solving complex technical challenges, takes ownership of their work, and communicates ideas clearly through both code and documentation.
 

Responsibilities

• Design, develop, and maintain end-to-end product features.
• Build scalable backend services and APIs using Python.
• Develop modern, responsive frontend applications with Vue.js and/or React.
• Integrate LLMs and AI services using APIs.
• Implement vector search and Retrieval-Augmented Generation (RAG) pipelines.
• Design and optimize PostgreSQL and NoSQL databases.
• Integrate third-party services such as email providers and external APIs.
• Create interactive data visualizations and dashboards.
• Deploy and maintain applications using Docker and AWS.
• Collaborate with the product team to transform ideas into production-ready features.
• Write clean, maintainable, and well-documented code.
   

Requirements

• 5+ years of experience in full-stack software development.
• Strong commercial experience with Python.
• Solid experience with Vue.js and/or React.
• Excellent knowledge of TypeScript and JavaScript.
• Experience integrating AI APIs (OpenAI, Anthropic, Gemini, or similar).
• Practical experience with vector databases and RAG architectures.
• Strong SQL skills and experience with PostgreSQL.
• Experience working with NoSQL databases.
• Good understanding of REST APIs and backend architecture patterns.
• Experience integrating third-party services (Mailgun, SendGrid, email providers, etc.).
• Experience with Docker and containerized applications.
• AWS deployment and infrastructure experience.
• Experience with data visualization libraries such as D3.js, Shadcn UI, or similar.
• Strong problem-solving and communication skills.
• Ability to document technical decisions clearly.

We are looking for a motivated and ambitious Strong Junior Python Developer who is eager to grow in the field of modern web technologies. You will become part of our team, contribute to interesting and challenging projects, and gain valuable experience under the guidance of senior colleagues.
 

What you’ll be doing:

• Developing new features and modules for our products.
• Participating in the design and maintenance of REST APIs.
• Writing clean, efficient, and testable code.
• Integrating with various external services and databases.
• Participating in code reviews and collaborating with the team.
• Troubleshooting, debugging, and optimizing existing code.

Requirements:

• 6+ months of commercial experience in Python development.
• Knowledge of either Django or FastAPI.
• Hands-on experience with PostgreSQL or MongoDB.
• Solid understanding of REST API design principles.
• Basic knowledge of cloud technologies (AWS or others) is a plus.
• English proficiency at an Upper-Intermediate (B2+) level.

We offer:

• Competitive salary.
• Opportunities for professional and career growth.
• Mentorship and support from experienced developers.
• Work on interesting projects with a modern technology stack.
• Flexible schedule and remote work options.
• Official employment and paid vacation/sick leave.
• Corporate events and a friendly team atmosphere.

Join our expanding team as a Senior Python Engineer! We’re looking for a proactive tech professional who takes ownership, sweats the details, and takes pride in delivering high-quality software.

About Project:
 

Our client specialises in developing and optimising a large-scale recruitment platform to achieve streamlined hiring processes. By utilising a multi-channel communication module, dynamic document management, and interactive Kanban boards, their goal is to enhance the efficiency of recruitment workflows, delivering seamless candidate engagement and improved organisational productivity.

What will you do?

—Develop and maintain complex platform;

—Work across backend (Python) and frontend (React.js) layers;

—Collaborate with cross-functional teams;

—Write clean, testable, and secure code following best engineering practices;

—Participate in code reviews and improve overall code quality;

—Continuously improve system performance, reliability, and user experience.

What do we expect?

Tech Skills:

—5+ years of experience as a Python Developer;
—Experience with Django, Flask framework;
—Experience with React.js;
—Experience with Azure cloud services;
—Experience with API development;
—Experience with SQL(PostgreSQL);
—Experience with Docker, Kubernetes;
—Experience with CI/CD;
—Understanding of Unit tests;
—Understanding and ability to apply in practice the OOP and SOLID principles;
—Knowledge of Scrum (Agile).

Soft Skills:

—Problem-solving, analytical thinking;
—Attention to detail and code efficiency;
—Ability to work closely with customers, analyse software requirements;
—Keen to constantly learn and improve your own skills, and not afraid to learn new things;
—Strong communication skills;
—At least Upper-Intermediate English level (speaking & writing).

We offer:
—Competitive compensation;
—Flexibility to work from anywhere (fully remotely or in our office in Lviv);
—Accounting Support Services;
—Education budget + corporate education events/trainings;
—Compensation for certifications, fitness, or therapy sessions;

—A dynamic environment where your proactivity is recognised and rewarded.

Application Process:
—Initial screening: call with Recruiter;
—Tech interview;
—Сlient’s interview.

If you're ready to bring your senior-level expertise to a product that truly matters, we’d love to meet you!

Senior Backend Engineer (Python) needed to design and build the services that power a healthcare company enabling remote patient monitoring, clinical research, and personalized healthcare. You'll own Python services and REST APIs end to end — from discovery through to production — model and evolve the data behind them, and make foundational architectural decisions for a next-generation platform where scalability, security, and privacy are non-negotiable. You'll partner closely with frontend, mobile, clinical, and data teammates, set the technical bar for backend code and reliability, and mentor more junior engineers. This is a hands-on senior role for a backend engineer who leads non-trivial work independently and brings strong engineering judgement to a fast-paced, distributed environment.

What You'll Do:

• Drive foundational architectural decisions for our next-generation platform, ensuring scalability, security, and maintainability
• Design, build, and maintain Python services that expose well-documented, versioned REST APIs
• Model and evolve data with PostgreSQL (and NoSQL where appropriate), including schema migrations and query performance tuning
• Integrate with internal services and third-party systems (auth, payments, healthcare data sources) with clear contracts and graceful failure modes
• Design services with security and privacy by default, aligned with global healthcare compliance standards
• Write thorough automated tests at unit, integration, and contract levels using pytest
• Add the logging, metrics, and tracing needed to operate services confidently in production
• Participate in on-call and incident response for owned services, and drive blameless post-mortems and follow-ups
• Review code with care, pushing for clarity, simplicity, and good test coverage
• Use AI-assisted development tools effectively to accelerate delivery without compromising quality
• Document architecture decisions, runbooks, and API contracts so distributed teammates can pick work up easily
• Partner with product, design, and clinical stakeholders to scope features and trade-offs
• Mentor more junior backend engineers and help raise the bar on backend practices across teams

What We're Looking For:

• 3+ years of professional backend engineering experience shipping production services
• Bachelor's degree in Computer Science, Software Engineering, or a related technical field — or equivalent practical experience
• Strong, hands-on Python skills, including modern type hints, async patterns, and idiomatic project layout
• Production experience with at least one major Python web framework (FastAPI, Django, or Flask)
• A proven track record designing, building, and evolving REST APIs (OpenAPI / Swagger), with familiarity with API versioning, pagination, and error-handling conventions
• Solid SQL skills with PostgreSQL or MySQL — comfortable writing migrations and tuning queries
• Strong testing habits with pytest across unit, integration, and contract tests
• Confident with Git, code review, and trunk-based or short-lived-branch workflows
• Strong analytical and problem-solving skills, with attention to long-term maintainability
• An ownership mindset — you take features from idea to production and stay accountable after launch
• Clear written and verbal communication in English, with the ability to work asynchronously across time zones
• Pragmatism: you balance correctness, speed, and complexity appropriately for the stage of the product

Nice to Have:

• Experience working in regulated environments (HIPAA, GDPR, ISO 27001, SOC 2, or medical-device software)
• Working knowledge of event-driven architectures (Kafka, RabbitMQ, SQS, Pub/Sub)
• Experience with containerization and orchestration (Docker, Kubernetes)
• Familiarity with infrastructure as code (Terraform, Pulumi, CloudFormation)
• Exposure to observability tooling (OpenTelemetry, Datadog, Grafana, Sentry)
• Hands-on use of AI-assisted development tools to accelerate delivery
• Background in healthcare, life sciences, or another data-sensitive domain
• Experience with FHIR, HL7, or other healthcare interoperability standards
• Performance work on high-throughput or low-latency systems
• Hands-on experience deploying services to AWS, GCP, or Azure, and shipping changes through a CI/CD pipeline

What Success Looks Like:

• Demonstrated agency — you proactively identify technical gaps, architectural bottlenecks, or product opportunities and independently drive solutions to completion
• Reliable, well-tested services with healthy uptime and clear SLOs for the surfaces you own
• Predictable delivery: features shipped within agreed scope and timelines
• Strong code review and design contributions across the wider engineering team
• Growth and effectiveness of the more junior engineers you mentor
• Healthy incident response — time to detect, mitigate, and follow up on production issues

Mandatory Skills
- Minimum 3+ years of hands-on Python backend development experience in production environments
- Strong Python fundamentals (clean code practices, typing discipline (where used), debugging, and performance awareness)
- Experience building web APIs with a modern framework (FastAPI) and designing maintainable endpoints
- Strong understanding of API patterns (authentication/authorization basics, input validation, pagination, versioning, consistent error contracts)
- Solid database experience (PostgreSQL preferred - schema design, migrations, indexing, query optimization, transaction basics
- Experience with asynchronous/background processing and handling retries
- Experience writing tests (pytest or similar): unit + integration tests, mocking, test data strategy
- Familiarity with production-grade practices (logging, monitoring basics, configuration management, secure secrets handling)
- Ability to detect, analyze, and resolve issues in production systems
- Comfortable doing root-cause analysis
- Ability to work independently in a remote setup with proactive, clear communication.

Responsibilities:
- Build and ship backend features for Obriy AI / SURE platform - APIs, services, and workflow components that power automation, integrations, and knowledge modules
- Design, implement, and maintain clean, well-documented REST APIs (and internal service interfaces) with strong validation and error handling
- Integrate with external systems (CRMs, support tools, messaging channels) using stable adapters, retries, and safe failure handling
- Implement background processing and asynchronous workflows (queues, schedulers) for long-running tasks and integrations
- Maintain and improve data models and persistence: schema changes, migrations, query performance, data consistency
- Improve reliability and observability: structured logging, metrics, tracing, alerts, and practical runbooks
- Troubleshoot production issues, perform root cause analysis, and deliver robust fixes with minimal regression risk
- Write and maintain automated tests (unit/integration) and support QA with clear test scenarios and reproducible cases
- Participate in code reviews, contribute to backend best practices, and keep engineering documentation up to date
- Collaborate closely with Frontend, DevOps, and Product teams to refine requirements, estimate work, and deliver iteratively.

Nice to have: 
- Experience with LLM/GenAI integrations (OpenAI-compatible APIs), prompt orchestration, tool-calling patterns, and safety considerations
- Familiarity with RAG pipelines (embeddings, vector databases, document chunking, retrieval quality evaluation)
- Experience designing integration connectors 
- Knowledge of event-driven architecture (Kafka/RabbitMQ/NATS) and distributed systems concepts
- Experience with Docker and Kubernetes-based deployments (understanding runtime constraints and observability)
- Familiarity with security best practices: OAuth/OIDC, RBAC/permissions modeling, audit logs, data protection principles
- Experience with performance tuning: profiling, caching strategies (Redis), async I/O optimization
- Experience working in B2B SaaS / enterprise environments with reliability and compliance expectations.

We run a large fleet of Android devices driven by a Python/ADB automation script. Currently 240 physical devices, managed by 2 employees.

What you'll own:

• Reliability of the automation script (crash detection, auto-restart, logging)
• Proxy routing and failover across the fleet
• Per-instance device configuration
• Migration from physical devices to LDPlayer
• Simple status reporting so operators can see fleet health at a glance

• Proactive optimization

   

Requirements:

• Strong Python
• ADB and Android device automation
• Windows Server and virtualisation
• Networking basics: proxies, routing, iptables

• Experience running 20+ concurrent instances

   

Nice to have: Docker, monitoring tooling, experience with device farms

Paid trial task before we commit either way. 

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.

Langate is an award-winning provider of software development services across three primary domains: Healthcare, Business, and Education. We build digital products that solve complex business challenges and create measurable value for our clients. We take pride in our long-term partnerships with U.S.-based companies and our experience delivering scalable software solutions for the Healthcare industry.

We are looking for an experienced Technical Lead who can take ownership of the platform’s backend architecture and lead the technical execution of the engineering team. This role combines architecture, hands-on development, and team leadership. You will design complex backend solutions, decompose them into actionable tasks, support engineers during implementation, review code, and help maintain a high engineering standard across the product.

 

About the project:
 

We are building a large AI-driven platform for the Healthcare domain designed to automate Revenue Cycle Management processes, including billing, payment posting, data processing, and other operational workflows that have traditionally required significant manual effort.
The platform combines traditional workflow automation, data-processing and scraping components, and AI-powered agents capable of handling more complex business processes.

This is a long-term product where the Technical Lead will have significant autonomy and the opportunity to influence backend architecture, engineering practices, technical decisions, and the future direction of the platform.

Requirements:
 

• 6+ years of commercial software engineering experience
• Strong hands-on experience with Python backend development
• Strong commercial experience with Node.js and TypeScript
• Proven experience designing and implementing backend architecture for complex applications
• Experience building scalable, high-load, or high-throughput systems
• Strong understanding of software architecture principles, system design, scalability, reliability, and performance
• Experience designing systems that consist of multiple services, modules, or integrations
• Strong experience with relational databases
• Practical experience with cloud platforms such as Azure or AWS
• Experience leading developers, reviewing pull requests, mentoring engineers, and supporting their professional growth
• Strong problem-solving skills and a pragmatic approach to architecture
• Practical understanding of modern AI-assisted development tools and how to use them effectively throughout the software development lifecycle
• Upper-Intermediate English or higher

Nice to Have:
 

• Experience working on Healthcare products
• Experience working with Redis or similar caching and data-processing technologies
• Experience building AI-powered products, automation platforms, or agent-based systems
• Experience designing distributed systems using Python

Responsibilities:
 

• Own and continuously develop the backend architecture of the platform
• Design scalable, reliable, and maintainable technical solutions for complex product requirements
• Make architectural and technical decisions together with the Head of AI and other stakeholders
• Translate high-level product and business requirements into clear technical solutions
• Mentor developers and support their technical and professional development
• Improve system performance, reliability, maintainability, and observability
• Support the product as it moves further into production and scales across additional modules and business processes
• Promote effective use of AI and LLM-based tools within the engineering workflow

Tech Stack: Python, Node.js, TypeScript
 

Schedule: 5/2, 8-hour working day (40 hr per week), flexible schedule. No late meetings and overtime. 

Hiring Process: HR Interview + Technical Interview.

 

We offer:
 

• Competitive compensation
• B2B contract, paid sick leave, 20 days of paid vacation
• Free English lessons  
• Flexible work schedule  
• Official Ukrainian holidays are non-working days  
• Paid courses and certifications  
• Сoach / psychologist consultation  
• Workshops  
• Career development plan
• Mentoring Education  
• Medical Health Insurance
  
   

Why Choose Us? What Do We Offer that’s Exceptional?
 

1. Cutting-Edge Technologies on Real Projects: At Langate, you’ll work with the latest technologies on live projects. We’re a dynamic, fast-growing company, so you’ll find a minimal amount of legacy systems and plenty of opportunities to implement new technologies.
    
2. Work-Life Balance with Benefits: We value work-life balance and offer paid time off, including vacation days and sick leave. Remote work options and hearty life are part of the package too.
    
3. Investment in Your Growth: We’re committed to your professional development. You can expect training programs, courses, and opportunities to enhance your English language skills.
    
4. Team Building and Unity: We know that a happy team is a productive team. That’s why we organize team-building events and group activities to foster strong bonds and a sense of belonging.

When you choose us, you’re choosing a company that values innovation, invests in its employees, and provides a supportive and engaging work environment. Join us in shaping the future of technology!

Need more information? Welcome!

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

GameCode was founded in 2017. We build online slot games for regulated markets across the USA, Canada, Europe, and beyond. Our team consists of more than 100 specialists, and we are looking for a Python Developer with hands-on iGaming and slot math experience.

What you will do

• Implement and fine-tune slot game math models and paytables
• Build and maintain game logic in Python
• Work closely with math and game designers to achieve RTP and volatility targets
• Test, validate, and simulate game math for compliance and fairness

What we expect

• 3+ years of software engineering experience
• 2+ years of professional Python experience
• 2+ years of experience in iGaming or the slots market
• 1+ year of experience implementing slot game mathematics
• English at B2 level or higher

Nice to have

• Experience with RTP simulations and volatility analysis
• Familiarity with regulated markets such as the UK, USA or Canada
• Open-source contributions or personal Python projects

What we offer

• Fully remote work
• Flexible working hours
• Long-term B2B cooperation
• Competitive rate depending on experience
• Training budget
• A flat team structure where your input matters

Recruitment process

Short screening call → technical interview → offer.
We aim to complete the process within 2–3 weeks.

Python / Django / React
About the Project
We are working with a fast-growing, venture-backed US startup building an AI-powered go-to-market automation platform.
The product helps companies find and enrich potential customers, automate outbound communication through email and LinkedIn, generate sales pipelines, and book meetings using AI agents.
The company is growing quickly and is looking to expand its engineering capacity with a strong, product-minded engineer who can work as an embedded member of a small founding team.
The Role
We are looking for a Senior Full-Stack Software Engineer with a strong backend focus.
Approximately 70% of the work will be backend development with Python, Django, and SQL, while around 30% will involve React and product-facing frontend development.
You will work directly with the founders and other engineers, take ownership of product features, communicate with customers, and contribute to technical and product decisions.
This role is best suited to someone who enjoys working in a small, fast-moving startup environment with significant ownership and limited bureaucracy.
Responsibilities

Own product features across the full development lifecycle.
Design, build, test, deploy, and maintain backend and frontend functionality.
Develop backend services using Python, Django, and SQL.
Build and improve user-facing functionality using React and JavaScript.
Architect scalable and maintainable technical solutions.
Work with AI agents, data enrichment processes, and automation workflows.
Use AI coding assistants and agentic development workflows to accelerate delivery.
Debug production issues and improve system performance and reliability.
Work directly with customers to understand problems and translate feedback into product improvements.
Participate in product roadmap, architecture, and technical strategy discussions.
Collaborate closely with the founders and the rest of the engineering team.
Communicate progress, risks, and technical trade-offs clearly.
Required Experience

5+ years of professional software development experience.
Strong commercial experience with Python.
Strong knowledge of SQL and relational databases.
Experience building and deploying software used by real customers.
Full-stack development experience, with a stronger focus on backend engineering.
Experience designing APIs, backend services, and production systems.
Ability to independently take a feature from an initial idea to production.
Experience working with modern AI coding assistants or agentic coding workflows.
Strong debugging and problem-solving skills.
Product-oriented mindset and ability to make practical engineering decisions.
Strong written and spoken English.
Ability to work effectively in a fast-paced and sometimes ambiguous startup environment.
Availability for regular working-hours overlap with a New York-based team.
Preferred Experience

Commercial experience with Django.
Experience with React and JavaScript.
Experience with Pandas and dataframe-based data processing.
Experience with Node.js.
Knowledge of AWS or another major cloud platform.
Experience working with AI-powered products, LLMs, autonomous agents, or workflow automation.
Previous experience in sales technology, marketing technology, data enrichment, or B2B SaaS.
Experience working directly with customers.
Experience leading engineers or owning technical initiatives.
Previous experience in an early-stage startup.
What We Value
Ownership
You can independently understand a problem, propose a solution, and deliver it without constant supervision.
Speed
You know how to move quickly while maintaining an appropriate level of engineering quality.
Product Thinking
You consider customer value and business impact rather than focusing only on technical implementation.
Communication
You communicate openly, raise risks early, and collaborate productively with both technical and non-technical colleagues.
Adaptability
You can prioritize effectively and adjust your approach as product and business requirements evolve.
Humble Confidence
You are comfortable presenting strong technical opinions while remaining open to better ideas.
Team and Communication
You will join a small, highly involved startup team and work directly with the company’s founders and engineers.
The team communicates through Slack and holds daily stand-ups. Close communication, fast feedback, and active participation in technical and product discussions are important parts of the role.

Stage 1: Screening and Technical Interview
A discussion covering:

Professional background and relevant projects.
Python, Django, SQL, and full-stack experience.
Product ownership and startup experience.
AI-assisted development workflows.
Communication and team fit.
Stage 2: Final Technical Interview
A more detailed session that may include:

System architecture and design discussion.
Practical Python and SQL exercises.
Debugging or extending an existing solution.
Discussion with founders and other team members.

US timezone

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.).

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.