Jobs Python

About Company

Wise Engineering is a software company where 90% of client relationships turn into long-term partnerships, and 70% of the team are senior-level engineers. We're hiring for one of our client products.

About the Project
A secondary school scheduling platform built by former educators who lived the problem firsthand. The school schedule is one of the most consequential decisions a district makes - it shapes how staff and students spend their time, what positions are needed, and how resources are allocated across schools. With AI-powered optimization and hands-on support, the platform helps school and district leaders build schedules that reflect their academic, staffing, and budget priorities - while saving hundreds of hours in the process.

About the Role

Senior Software Engineer responsible for full-stack development of the platform's data integrations ecosystem. You will build the product and infrastructure that enables schools and districts to send and receive data to the scheduling application, and participate in limited direct customer support to stay close to real integration challenges. 

Strong English is a hard requirement - you'll work directly with non-technical

stakeholders on the customer side.

Responsibilities:

• Build and maintain data pipelines - import, validation, transformation, and export of customer data across 100+ school information systems
• Work directly with customers to enable and troubleshoot their data integrations
• Design and deliver tools and infrastructure that make the integration process more reliable and scalable
• Own key architectural decisions in your product area
• Introduce and apply AI-assisted approaches to parser and exporter development
• Own production availability - observability, incident response, and fixing what you ship
• Mentor engineers on the integration team and contribute to cross-team knowledge sharing

Requirements

Technical Skills

• 3–5+ years of experience in backend or integration-heavy domains
• Hands-on experience with data pipelines, parsers, or system integrations (SFTP, APIs, custom formats)
• Proficiency in Python and async patterns
• English C1 - you'll communicate directly with customers, often non-technical ones
• Strong ownership mindset - comfortable in a fast-moving startup with limited hand-holding
• Experience with LLM/generative AI in a production or development context - building with it, not just using Copilot

• Prior EdTech experience is a plus

   

Experience & Soft Skills

• English C1 or higher - customer-facing role requiring clear communication with non-technical stakeholders!
• Strong problem-solving skills with the ability to navigate ambiguous, loosely defined integration requirements
• Proactive communicator - keeps stakeholders informed, surfaces blockers early, doesn't wait to be asked
• Comfortable working collaboratively across product, engineering, and customer success teams
   

Tech Stack: Python, FastAPI, Pydantic v2, MongoDB, Motor, Dramatiq, RabbitMQ, Temporal, AWS (ECS Fargate, Batch, Lambda, S3, SQS), AWS Bedrock, Gurobi / OR-Tools, dbt, DuckDB / MotherDuck, pytest, GitHub Actions, Docker, Terraform, Terragrunt, Helm, Kubernetes (EKS + ArgoCD), Datadog

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

We're a fast-growing tech company building modern, innovative digital products - and we're looking for a Python Developer to join our team in Lviv. If you care about clean code, solid architecture, and working in an environment where your input actually matters, keep reading.

What you'll be doing

You'll be part of a cross-functional team working on real, meaningful projects - building scalable backend solutions, designing APIs, and helping shape the technical decisions that move our products forward.

What we're looking for

• Solid hands-on experience with Python
• Strong knowledge of Django and Django REST Framework
• Good understanding of OOP principles and clean code practices
• Experience working with relational databases - MySQL and/or PostgreSQL
• Confident use of Git and version control workflows
• Responsible, self-motivated, and comfortable working both independently and as part of a team

What we offer

• Full-time, in-office position in Lviv
• Official employment and a competitive salary based on your skills and experience
• Company-provided equipment
• A well-structured work schedule
• A friendly, supportive team and a comfortable office environment
• Mentorship and guidance from experienced colleagues
• Interesting and technically challenging projects to grow on

How to apply

Send us your CV - we review every application and get back to candidates promptly. This could be the start of something great.

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

Project: Development of a Market Risk platform for a global financial institution, supporting risk analytics, market data processing, and large-scale financial applications. 

What will you be doing?
You will design and build risk calculations for Hypothetical P&L, Risk-Theoretical P&L, and Historical VaR — owning the full HVaR pipeline end-to-end, and architecting calculation components for the upcoming Expected Shortfall extension. Along the way, you will optimise compute-intensive batch and intraday workloads, own quality through automated testing and reconciliation frameworks, and collaborate closely with quant developers and the Historical Data Store team.

What are we looking for?

• Programming: Expert-level in at least one of Python, C++, or Java/Scala, with strong Python regardless (the analytics ecosystem is Python-centric).
• Distributed/large-scale compute: Experience building or operating high-throughput calculation platforms — grid computing, Spark/Dask/Ray, or in-house distributed batch frameworks; profiling and optimising numerical workloads.
• Risk domain: Working knowledge of market risk measures — VaR (historical simulation in particular), P&L vectors, scenario shocks (absolute/relative/log returns), aggregation and netting.
• Data engineering fundamentals: Handling large time-series and position datasets efficiently (columnar formats, partitioning, memory management).
• Engineering practice: CI/CD, automated testing of numerical code (tolerance-based comparison, golden datasets), code review culture.

Nice to have: 

• Experience with HPL/RTPL production and PLA testing.
• Numerical computing depth: numpy/scipy internals, vectorisation, GPU acceleration.
• Experience integrating with quant pricing libraries via C++/Python bindings.

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.

You will own the integrations between commerce platforms (Shopify, POS, OMS, third-party SaaS) and the data that moves through them for a large replatforming program. The standard is data correctness at the systems-of-record level: orders, inventory and fulfillment must agree across every platform, provably, before and after cutover. This is a long-term, full-time engagement. It is backend integration engineering, not storefront or theme work.

Key Responsibilities:

• Build and maintain REST and GraphQL integrations with Shopify, POS, OMS and third-party business applications
• Implement OAuth flows, webhook verification and processing, retries, deduplication and error handling for production data flows
• Handle the realities of distributed data: duplicate events, out-of-order delivery, partial failures, eventual consistency
• Develop new API integrations with enterprise and SaaS platforms as the program expands
• Own SQL and BigQuery work wherever integrations require data movement or transformation
• Build automated reconciliation checks so systems of record stay in agreement
• Troubleshoot production integrations and data quality issues end to end

Requirements:

• 5+ years of backend engineering focused on API integrations between enterprise or SaaS platforms
• Strong Python in production
• REST and GraphQL integration experience on both consuming and building sides
• OAuth, API authentication, webhooks and robust error handling patterns
• Practical command of idempotency, deduplication and reconciliation design
• Strong SQL; hands-on data integration or ETL experience
• AWS deployment experience with Docker and CI/CD
• Fluent English
• Minimum 4 hours daily overlap with US Eastern time, full-time availability

Nice to Have:

• Google BigQuery
• Shopify APIs (Admin GraphQL, webhooks, Fulfillment Orders) or Salesforce Commerce Cloud
• POS, OMS, ERP or fulfillment system integration experience
• Event-driven integration patterns: queues, event buses, connectors

Job Description

Must have experience:

3+ years of professional backend development experience

Strong Python skills, including:

Object-Oriented Programming / Design
Asynchronous programming (async/await, background tasks, workers)
Experience with backend frameworks such as Django (DRF), FastAPI, or Flask

Solid understanding of backend architecture concepts:

REST APIs
Microservices
Event-driven and distributed systems
Working knowledge of:

Linux
Networking basics
Docker
Experience with tools such as Git, Jira, Jenkins

Strong analytical thinking and engineering mindset
Team-oriented approach and good communication skills
Upper-intermediate English or higher

Highly preferable experience:

Experience with relational databases (PostgreSQL, MariaDB)
Automated testing experience (Pytest or similar)
Basic frontend understanding (HTML / JS, modern frameworks)

Nice to have experience:

Cloud platforms (AWS / GCP / Azure)
Kubernetes
Go

Job Responsibilities

Design and develop scalable backend services in Python
Build and maintain REST APIs for data ingestion and exposure
Participate in architecture design (microservices, async workflows, event-driven patterns)
Integrate data from heterogeneous sources (new and legacy systems)
Work closely with frontend developers to support modern UX requirements
Ensure code quality through testing, reviews, and best engineering practices
Improve performance, reliability, and scalability of existing services
Collaborate with cross-functional teams in an Agile/Scrum environment

Department/Project Description

We are expanding the team to work on a new strategic product focused on unifying and integrating data from multiple test stations.

The project aims to:

Aggregate data from next-generation test stations, as well as legacy systems (FAST / LabView–based)
Integrate additional data sources in the future
Provide a modern backend foundation for data processing and exposure
Support a modern UX/UI layer built on top of this backend
This system will become a core data platform for manufacturing and testing of Harmonic hardware products.

Harmonic is a leading provider of innovative broadband solutions that deliver video, voice and data to communications providers around the world. GL team participates in development and QA of several generation of these solutions.

The CableOS department is about developing the new software-based network equipment which provides access to Internet/IPTV/VoIP services with using powerful servers.

It is an innovative solution for Internet Service Providers which will allow to get rid of the existing HW equipment and to migrate to the cloud, saving customers the enormous expenses for the support of huge number of hardware network equipment. Currently there are no competitors to this project in the world and Customer offers the opportunity to be at the beginning of the rapid development of the product and the opportunity to take their place in a fast-paced engineering team

We’re expanding our team and looking for a Django/DRF Developer to join Dataforest. If you’re looking for a friendly team, a healthy working environment, and a flexible schedule — you’ve found the right place to send your CV.

You'll be a great fit if you have:

- 3+ years of experience with Django and it's components;

- Experience with RESTful APIs, DRF and related libraries;

- Experience with Celery and async task management;

- Experience with SQL and query optimisation;

- Experience of writing tests;

- Able to work independently and excellent in communicating challenges and issues;
 

Would be a plus:

- Experience with AWS services (EC2, API Gateways, Lambda, SQS);

- Experience with NoSQL databases (Redis, Elasticsearch, etc.);

- Experience of end-to-end implementation for new functionality;

- Experience with payment systems integrations (Stripe, Shopify, Recurly, Paypal, Braintree, etc.);

- Experience with chargeback management tools (Ethoca, RDR, CDRN, etc.);

- Understanding how to handle high load on projects;
 

What you'll do:

- Design, develop and maintain payment gateway and other integrations;

- Design and develop new features and maintain existing functionality.

- Design and develop web applications using Python/Django/Celery.

- Design, develop and maintain RESTful APIs using Django Rest Framework (DRF).

- Write clean and well-structured code that is easy to read and maintain;

- Write and maintain technical documentation.

- Write and maintain unit tests to ensure code quality.

- Optimize and maintain the security, performance, and usability of the applications.

- Collaborate with the PM/Frontend/DevOps/QA and others team members.

We ensure your growth with:

- Great networking opportunities with international clients, challenging tasks;

- Building interesting projects from scratch using new technologies;

- Personal and professional development opportunities;

- Competitive salary fixed in USD;

- Paid vacation and sick leaves;

- Flexible work schedule;

- Friendly working environment with minimal hierarchy;

- Comfortable, spacious and well-equipped office in the city center;

- Team building activities, corporate events.

We are looking for Junior Python Developer to join our company GoBoutique in Lviv and work on interesting projects for our USA based clients.

Required knowledge and skills: OOP, Python, Fast API, REST API, Git, PostgreSQL, IntelliJ IDEA, Linux, Data pipeline building / data ETL, AWS, HTML, CSS

We offer:
— Competitive salary
— Paid vacations

If you are interested, please send us your CV. Please include your salary expectations.

If you have any questions, let's talk!

Regards,
Olya

Why this role exists:

The role exists to own the mathematical models that price sportsbook markets and manage the book's risk exposure. The Senior Quantitative Analyst sits at the intersection of statistical modelling, sports domain expertise, and commercial trading judgement to build and calibrate pre-match and in-play pricing models, set margin and liability frameworks, and turn betting and market data into a measurable pricing edge. At the senior/lead level, the scope includes setting the modelling direction for assigned sports verticals, defining model quality metrics, acting as a technical authority, and mentoring mid-level and junior quants.

What you’ll drive:

Model development and market pricing

• Own the design, development, and calibration of pre-match and in-play pricing models, BetBuilder models, and Cashout for assigned sports verticals (e.g. football, tennis, basketball, esports).
• Derive full market trees from core model outputs — match odds, handicaps, totals, correlated derivatives, player props, and same-game multiples — with internally consistent probabilities.
• Model live scenarios where state changes matter: in-play score, time decay, red cards, momentum, injury and substitution effects, service games, possession-based simulation.

Risk management and market analysis

• Extract fair probabilities from competitor and exchange prices (margin removal / de-vigging) and blend market-implied signals with in-house model output.
• Define and maintain liability limits, exposure thresholds, and automated risk-mitigation rules across markets and events.
• Run Monte Carlo simulation of book outcomes to quantify tail risk on major events and accumulator/multiples exposure.
• Support the trading floor during high-liability events with real-time analysis and price recommendations.

Strategy, productionisation, and leadership

• Set the quantitative roadmap for assigned verticals in partnership with Trading and Product leadership.
• Partner with Engineering to productionise models into low-latency pricing services, and define monitoring and alerting requirements.

What makes you a GR8 fit:

Must-have

• 5+ years of quantitative analysis experience, including 3+ years in sports betting, betting exchange, or sports trading/analytics.
• Expert-level probabilistic and statistical modelling skills.
• Expert Python skills for modelling and production code.
• Strong experience in sports-specific model design, including ratings, simulations, and in-play models.
• Experience with both pre-match and in-play pricing.
• Advanced knowledge of bookmaking economics, margin strategy, risk, liability, and exposure management.
• Advanced SQL and experience handling large-scale datasets.
• Experience developing, validating, and deploying models into production with measurable commercial impact.
• Machine learning knowledge and understanding of low-latency/streaming systems.
• English proficiency at B2+ level.

Experience: 4+ years
Location: Remote from Poland
Contract: October 1 – December 31, 2026
 

About the Project

We are looking for a Senior Python Engineer / AI Platform Engineer to join a team working on cloud-based AI and data platforms.

The role combines Python backend development, data engineering, AWS, DevOps, and AI/LLM technologies. You will work on production-grade services, data pipelines, and AI-powered solutions, including RAG-based applications and document analysis tools.

Responsibilities

• Design and develop backend services using Python and FastAPI
• Build and maintain REST APIs and cloud-native backend components
• Design and implement ETL pipelines for processing and transforming large datasets
• Work with relational databases such as PostgreSQL
• Develop and operate containerized applications using Docker
• Work with AWS cloud services and modern DevOps practices
• Contribute to AI/LLM platform development, including RAG-based solutions and document analysis tools
• Support CI/CD processes and ensure reliable production deployments

Requirements

• 4+ years of experience in Python software engineering
• Strong backend development experience with FastAPI and REST API design
• Hands-on experience with ETL pipelines, data processing, and transformation
• Good understanding of PostgreSQL or similar relational databases
• Experience with Docker and containerized applications
• Practical knowledge of AWS, especially:
  • AWS Glue
  • AWS Batch
  • Amazon ECS
  • Amazon S3
  • Amazon ECR
• Experience with DevOps and CI/CD practices
• Previous experience working on AI/LLM projects

Nice to Have

• Experience with LLM/RAG-based applications
• Experience with document analysis platforms or chat interfaces
• Knowledge of Kubernetes
• Experience with OpenTelemetry
• Understanding of OAuth2
• Experience with cloud-native architectures

Tech Stack

Python, FastAPI, REST API, PostgreSQL, ETL, Docker, AWS, CI/CD, AI/LLM, RAG

We’re growing and looking to hire a Software Team Leader - XSA who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity. Claroty is a global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. We’re a fast-growing, award-winning team where innovation meets purpose—and we want you to help us define the future of cybersecurity.

As a Software Team Leader for XSA (xDome Secure Access), you will lead the development of our industry-leading secure remote access solution. In a world where critical infrastructure is increasingly connected, your team will build the bridge that allows safe, monitored, and frictionless access to sensitive industrial environments. You will deal with complex networking challenges, identity management, and high-availability systems where security and performance are equally paramount.

Responsibilities:

• Drive a high-performing team of developers, fostering a culture of technical ownership, security-first mindset, and continuous delivery.
• Lead the design and implementation of robust secure access features, ensuring seamless integration between IT and OT networks.
• Oversee the development of scalable, high-performance gateway and proxy architectures that support global enterprise scales.
• Work closely with Product Management and Security Researchers to implement Zero Trust principles and advanced session monitoring capabilities.
• Invest in your team’s professional growth, promoting best practices in code quality, security protocols, and system resilience.

Requirements:

• 3+ years of experience leading R&D teams in a fast-paced environment.
• 5+ years of experience in backend development, with a strong track record of building complex systems in Python.
• Deep understanding of networking protocols (TCP/IP, HTTP/S, SSH, RDP) and security concepts (Zero Trust, Identity Management, Encryption).
• Experience building distributed, high-availability systems that handle real-time traffic and data.
• Proficiency in utilizing AI development tools (specifically Cursor and Claude) to accelerate development workflows, code generation, and problem-solving.

Would be a plus:

• Familiarity with frontend frameworks like Angular or React.
• Experience with Cloud-Native technologies (AWS/Azure/GCP, Docker, K8s).
• Experience in the Cybersecurity industry, specifically in Remote Access (VPN/ZTNA) or Identity (IAM).

What we offer

• Help and support from our caring HR team.
• 20 working days of annual paid leave.
• The exchange of experience and work with talented colleagues.
• Last but not least - valuable compensation for your efforts.

We are looking for a Senior Python Developer who is ready to scale and grow with us.
 

If you’re passionate about clean code, scalable backend architecture, and excited to build something impactful, we’d love to meet you!
 

What will you do?
 

• Contribute to the full backend lifecycle, from architecture design to production deployment;
• Design, develop, and maintain RESTful APIs using Python, Flask, FastAPI, and SQLAlchemy;
• Implement microservices architecture with message brokers and API gateways;
• Implement authentication and authorization with industry-standard encryption and access control;
• Optimize backend services for performance and efficiency, identifying bottlenecks and implementing solutions to improve response times and resource utilization;
• Implement complex algorithms and data structures to handle data processing, operations research (OR), recommendation systems, and optimization problems;
• Deploy and scale services on GCP (Cloud Functions, Cloud Run, Kubernetes); containerize with Docker;
• Design and optimize database schemas using PostgreSQL/MySQL and integrate Pandas/NumPy for analytics and ML;
• Document API specifications using OpenAPI (formerly Swagger);
• Collaborate with frontend, data science, and DevOps teams to align backend with product goals;
• Maintain engineering standards through code reviews, documentation, and knowledge sharing.
 

Requirements:

• 7+ years of commercial experience in backend development with Python;
• Upper-Intermediate English (B2 or C1) for comfortable verbal team communication.
• Strong hands-on experience with Python, Flask, and SQLAlchemy, Pandas, NumPy;
• Proficiency with Docker and Kubernetes;
• Expertise in software architecture and design patterns, with a proven track record of solving complex technical and performance problems;
• Strong understanding of algorithmic complexity, optimization techniques, and best practices for designing efficient algorithms to solve complex problems;
• Proven ability to handle complex, loosely defined business logic and structure intricate processes cleanly;
• Solid grasp of software architecture and design patterns, with a track record of solving complex technical and performance problems;
• Autonomous in architectural decision-making, comfortable owning hard problems end to end;
• Bonus points if you’ve worked in medical or sports domains.

Why Solid Software?
 

• We support Ukraine;
• A wonderful team of enthusiasts and like-minded people;
• Atmosphere of comfortable work & life balance;
• Flexible schedule and work-from-home opportunity;
• Opportunity to work on projects with different directions (web, mobile, tablet, watch, desktop);
• MacBook Pro and great tech;
• Decent compensation;
• Lack of bureaucracy;
• Compensation for professional events, sports activities;
• Corporate online parties and fun team-buildings;
• Anniversary and birthday presents.
 

Professional growth:
 

• Onboarding and mentorship program with a dedicated onboarding guide built by our team;
• Internal Career Path program from Developer to Architect that consists of knowledge areas for IT specialists, books, training sessions, and work activities;
• Corporate library with the best programming books (+ an ability to order a particular book if we don’t have it);
• Professional and constant feedback.
 

We truly value the unique talents and skills that each individual brings to our company. As we continue on our journey of growth, we eagerly anticipate the opportunity to welcome you into our team.
 

Apply now and help us shape what comes next!

Description

The project focuses on developing and maintaining an on-premises environment for hosting AI-enabled applications and processing imaging data.

The solution is deployed on dedicated physical server infrastructure located within customer facilities and hosts both third-party and internally developed software components.

The engineering scope includes development and automation of the server environment, Linux configuration, containerized deployments, infrastructure automation, system integration, and automated verification.

The team will work on improving deployment reliability, maintainability, security, and operational efficiency of the platform across different customer environments.

Requirements

• Demonstrated professional experience of 5–8 years in software development, with strong hands-on expertise in Python-based backend, automation, or infrastructure-related solutions.
• Strong experience working in Linux-based environments and developing software intended for deployment on physical or virtualized server infrastructure.
• Ability to work effectively in a cross-functional engineering environment and independently drive technical tasks from design through implementation and verification.

Required Skills:

• Advanced Python programming skills, including experience developing maintainable, production-grade applications and automation solutions.
• Strong practical experience with Linux OS, including system configuration, troubleshooting, scripting, and administration.
• Hands-on experience with Docker, containerized applications, image management, networking, and deployment.
• Practical experience with Ansible for infrastructure configuration, provisioning, and deployment automation.
• Understanding of DevOps practices, including CI/CD, build and deployment automation, configuration management, and environment management.
• Experience implementing automated unit tests and integrating testing into development and CI/CD workflows.

• Good understanding of networking, system services, logging, monitoring, and troubleshooting distributed or containerized applications.

   

Job responsibilities

• Design, develop, and maintain Python-based services, automation components, and infrastructure tooling for the AI Host environment.
• Develop and maintain automated provisioning and configuration processes using Ansible.
• Build and maintain Docker-based deployment environments.
• Configure, maintain, and troubleshoot Linux-based server environments used for on-premises deployments.
• Participate in the design and evolution of the AI Host platform architecture, ensuring scalability, maintainability, reliability, and security.
• Implement deployment and configuration automation to simplify installation and maintenance of the solution in customer environments.
• Develop comprehensive unit tests and automated verification mechanisms to ensure software quality and deployment stability.
• Contribute to CI/CD pipelines and continuously improve development, build, testing, and deployment processes.
• Investigate and resolve complex software, infrastructure, containerization, and operating-system-level issues.
• Conduct code reviews and contribute to engineering standards and development best practices.
• Collaborate with customers’ engineering stakeholders to deliver integrated solutions.
• Create and maintain technical documentation covering architecture, deployment, configuration, troubleshooting, and operational procedures.
• Evaluate and recommend appropriate technologies and tools based on project requirements and technical constraints.

Software Engineer – AI, Data & Full Stack

Employment Type: Full-Time, Remote
Working Hours: U.S. Time Zone
Salary: $2,000–$2,500 USD per month

About the Role

We are looking for a Software Engineer – AI, Data & Full Stack to join our engineering team and build production-ready AI applications, backend services, data pipelines, and modern web applications.

The ideal candidate has strong experience with Python, FastAPI, AI/LLMs, RAG, MCP, Vue.js, and Angular, along with practical knowledge of cloud infrastructure and CI/CD.

The position is 100% remote, but candidates must be available to work during U.S. business hours.

Key Responsibilities

• Develop backend applications and APIs using Python and FastAPI.
• Build responsive frontend applications using Vue.js and Angular.
• Integrate frontend applications with REST APIs and AI-powered backend services.
• Build AI applications using LLMs, Generative AI, RAG, and AI agents.
• Develop and integrate Model Context Protocol (MCP) servers and tools.
• Design and optimize prompts using modern prompt engineering techniques.
• Implement embeddings, semantic search, and vector database solutions.
• Build data processing, ETL, and machine-learning pipelines.
• Integrate external APIs and third-party platforms.
• Design scalable REST APIs and microservices.
• Containerize applications using Docker.
• Build and maintain CI/CD pipelines using CircleCI.
• Deploy and maintain applications on AWS.
• Write unit, integration, and API tests.
• Monitor and troubleshoot applications in production.
• Participate in code reviews and architecture discussions.
• Collaborate with engineering, data science, AI, and product teams.

Required Technical Skills

Backend

• Python
• FastAPI
• REST APIs
• Pydantic
• Async Python
• SQL
• PostgreSQL

• Redis

   

Frontend

• Vue.js
• Angular
• JavaScript
• TypeScript
• HTML5
• CSS3
• REST API integration
• Responsive web development
• Modern frontend architecture and component-based development

Experience with Pinia/Vuex, RxJS, Angular Material, Tailwind CSS, or Bootstrap is a plus.

AI / LLM Engineering

• Large Language Models (LLMs)
• Generative AI
• Model Context Protocol (MCP)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• AI Agents / Agentic AI
• Tool and function calling
• Embeddings
• Semantic search
• Vector databases
• LLM evaluation and testing

Experience with LangChain, LangGraph, LlamaIndex, OpenAI, Anthropic, or AWS Bedrock is highly desirable.

Data Science & Data Engineering

• Pandas
• NumPy
• Scikit-learn
• Data preprocessing
• ETL/data pipelines
• Machine learning fundamentals
• Model evaluation

• Data analysis

   

DevOps & Cloud

• AWS
• Docker
• CI/CD
• CircleCI
• Git / GitHub
• Linux
• Cloud deployment and monitoring

Experience with Kubernetes, Terraform, GitHub Actions, AWS ECS/ECR, Lambda, S3, RDS, CloudWatch, IAM, and Bedrock is a plus.

Additional Preferred Skills

• Multi-agent AI systems
• MCP server architecture
• Langfuse or similar AI observability platforms
• RAG/LLM evaluation frameworks
• Microservices architecture
• Multi-tenant SaaS architecture
• OAuth 2.0 / JWT
• WebSockets
• Celery
• Kafka, RabbitMQ, or AWS SQS
• Pytest
• MLOps
• Application monitoring and observability
• Agile/Scrum development

Qualifications

• 5+ years of professional software engineering, full-stack engineering, AI/ML engineering, or related experience.
• Strong hands-on experience with Python.
• Professional experience with Vue.js and/or Angular.
• Experience developing REST APIs with FastAPI or similar Python frameworks.
• Practical experience building applications using LLMs and Generative AI.
• Understanding of RAG, MCP, embeddings, vector search, and prompt engineering.
• Experience with Docker and CI/CD.
• Familiarity with AWS cloud infrastructure.
• Strong debugging and problem-solving skills.
• Ability to work independently in a remote environment.
• Good written and verbal English communication skills.
• Ability to work and collaborate during U.S. business hours.

Position Details

Salary: $2,000–$2,500 USD/month
Employment: Full-Time
Location: 100% Remote
Working Hours: U.S. Time Zone

We are looking for an engineer who can work across the full application stack—from Vue.js/Angular frontends and Python/FastAPI backend services to RAG, MCP, AI agents, data pipelines, AWS infrastructure, and production deployment.

We are looking for a Python Developer (microservices) to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

  You'll be a great fit if you have:

• 2+ years of experience with Python;
• Experience with SQL and query optimisation;
• Experience with integration of 3rd party services;
• Strong understanding of client-server model, REST API approach, authorization/authentication principles;
• Strong understanding of asynchronous/multithread/multiprocess programming;

• Upper- Intermediate level of English.

   

    Would be a plus:

• Experience with Redis and Lua scripts;
• Experience with AWS services (Lambda, Step Functions, API Gateway, SQS, Fargate);
• Experience with Django REST API;
• Experience with payment systems integrations (Stripe, Shopify, Recurly, PayPal, Braintree, etc.);

• Experience with Celery and async task management.

   

  What you'll do:

• Developing server applications (APIs). Within these applications, developers need to describe core logic and integrations with third-party services.
• Writing scripts similar to DAGs in Airflow or AWS Lambdas. These scripts should process information using Pandas or implement some simple business logic.
• Developing applications with a distributed architecture (microservices).

• Developing client applications for data retrieval. These data will later be processed by developers from the DS and DE departments.

   

  We ensure your growth with:

• Competitive salary fixed in USD
• Flexible working schedule and fully remote work format
• Paid vacation days and sick leave days 
• Personal and professional development opportunities
• Participation in building innovative projects from scratch using modern technologies
• Team-building activities and corporate events
• English classes and educational events.