Jobs & careers

We are presently seeking a Python Engineer on behalf of our esteemed US client. The ideal candidate should possess a proactive mindset and a strong aptitude for addressing intricate challenges. In this role, you will assume a pivotal position in the development of low-latency, high-throughput systems that seamlessly incorporate advanced AI technologies into pragmatic, scalable solutions for our clients.

Project details:

Tempo AI represents an advanced customer service solution powered by ChatGPT. This innovative platform seamlessly integrates with renowned platforms such as Shopify, Salesforce, Zendesk, and custom e-commerce stores to streamline and automate a spectrum of customer service operations.

Our client is growing rapidly and searching for a seasoned Python Engineer with a blend of robust Django expertise, cloud infrastructure knowledge, and a passion for AI technology. If you’re ready to put your skills to the test in a dynamic, fast-paced environment, we welcome you to join us in pioneering the future of AI-driven customer services.

Core Responsibilities:

• Build and maintain high-performance, scalable backend systems using Python and Django.
• Work with AWS services to architect resilient cloud infrastructure
• Integrate and manage Twilio’s communication APIs within our service stack.
• Develop multi-threaded and asynchronous service routines to handle real-time AI processing with minimal latency.
• Implement security best practices around LLMs, including defenses against prompt injection and crafting secure prompts.
• Collaborate closely with the product team to integrate cutting-edge AI technologies into our platform.
• Lead efforts in latency engineering to optimize system performance and responsiveness.

Technical Qualifications:

• 5+ years of experience in software development with Python and Django.
• Strong experience with AWS cloud services (EC2, S3, RDS, Lambda, CloudFormation).
• Experience implementing both Rest and GraphQL API’s.
• Hands-on experience with AI platform integrations (OpenAI GPT, Hugging Face).
• Practical knowledge of Twilio and communications APIs and their implementation.
• Expertise in latency engineering, multi-threading, and optimizing applications for speed and scale.

Preferred Experience:

• Practical experience with async frameworks in Python (e.g., AsyncIO, FastAPI).
• Familiarity with Python’s testing frameworks.
• Experience in performance tuning and optimization, particularly within high-load environments.
• Contributions to the Python and AI development communities are highly regarded.

Professional Skills:

• Demonstrated ability to write clean, maintainable, and efficient code.
• Strong problem-solving skills and the willingness to dive into challenging problems.
• Exceptional communication and collaboration abilities.
• A thorough understanding of AI security best practices, especially in LLMs.

Presently we are looking for an accomplished Senior Manual QA Engineer to contribute to a mobile cybersecurity application.

Project details:

Our US client is a world-class cloud identity security company that has been ranked by Gartner as a Privileged Access Management (PAM) Leader for two consecutive years. They have also received the highest possible score from Forrester in categories such as SaaS/cloud, Integrations, Deployment, and Innovation Roadmap.

The Product is a mobile experience that aligns with business users’ expectations with an intuitive and appealing user interface. Allow admins and remote workers to authenticate to a Secret Server and access secrets to increase adoption, bolster ROI, and improve your organization’s security posture.

The essence of the project is the development of solutions for centralized storage and access to corporate credentials and resources.

Team: 3 Mobile application developers; AQA engineer; DevOps; Scrum Master.

Technical Qualifications:

• At least 5 years of experience as a Manual QA Engineer;
• Understanding of SDLC and bug life cycle;
• Ability to design and document test cases based on business requirements;
• Strong knowledge of software QA methodologies;
• Good level of test design;
• Advanced English level;
• Ability to work autonomously with a remote team of managers and developers;
• Experience using Azure DevOps for test management.

Core Responsibilities:

• Design and document test cases;
• Create and manage test plans and test suites;
• Execute manual test cases on Android/iOS;
• Create regression test plans;
• Perform manual regression testing;
• Analyze and constantly improve test coverage;
• Report on QA process and metrics.

Our client is a rapidly growing technology company specializing in cutting-edge data solutions and machine learning applications. We are seeking an experienced Python Engineer with a strong background in working with data and preferably machine learning experience to join our innovative team of 4 developers and 2 QAs.

The product is designed for Enterprise systems that connects with Salesforce CRM system, allowing it to improve its performance by collecting and analyzing large amounts of data. Product based on AI and ML that optimizes work with the Salesforce database, analyzes data, finds duplicates, and cleans up out-of-date data.

Key clients: Healthcare; Financial Services; Non-profit; Software & Technology.

Main stack: Python, ML, AWS, Docker.

Responsibilities:

• Develop, optimize, and maintain scalable data pipelines, ETL processes, and data integrations using Python.
• Collaborate with the team to implement ML models and algorithms in production.
• Contribute to designing, developing, and enhancing machine learning systems and infrastructure.
• Perform data preprocessing, data validation, and data cleansing.
• Collaborate with cross-functional teams to understand data requirements and develop data solutions.
• Maintain documentation for developed features, including system architecture, API specifications, and development progress.
• Troubleshoot and resolve data-related issues, ensuring data quality and consistency.
• Stay updated with the latest trends and advancements in Python, data engineering, and machine learning.

Requirements:

• 5+ years of hands-on experience in Python development;
• Strong experience in working with large datasets and data processing tools (e.g., Pandas, NumPy, Dask);
• Familiarity with database technologies (SQL/NoSQL), data warehousing solutions, and data modeling;
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn);
• Knowledge of distributed computing systems (e.g., Hadoop, Spark) is a plus;
• Excellent problem-solving skills, attention to detail, and ability to work independently as well as collaboratively within a team;
• Strong communication skills to effectively collaborate with team members and stakeholders.

Preferred Qualifications:

• Experience with cloud platforms (AWS);
• Knowledge of containerization technologies (Docker);
• Familiarity with version control systems (Git);
• Experience with LLM models and APIs;
• Exposure to ML deployment and monitoring tools (e.g., MLflow, TFX, Kubeflow).

We are presently seeking a React/React Native Developer on behalf of our esteemed US client. The ideal candidate should possess a proactive mindset and a strong aptitude for addressing intricate challenges. In this role, you will be pivotal in developing low-latency, high-throughput systems that seamlessly incorporate advanced AI technologies into pragmatic, scalable solutions for our clients.

Project details:

Tempo AI represents an advanced customer service solution powered by ChatGPT. This innovative platform seamlessly integrates with renowned platforms such as Shopify, Salesforce, Zendesk, and custom e-commerce stores to streamline and automate a spectrum of customer service operations.

Our client is growing rapidly and searching for a seasoned React Developer with a blend of robust React Native expertise, cloud infrastructure knowledge, and a passion for AI technology. If you’re ready to put your skills to the test in a dynamic, fast-paced environment, we welcome you to join us in pioneering the future of AI-driven customer services.

Stack: Javascript, React, React Native, Redux, and Tailwind CSS.
Team: Team Lead, 8 front-end developers, 5 back-end developers, 2 PMs.

Core Responsibilities:

• Perform code reviews to ensure adherence to coding standards, best practices, and performance optimization;
• Take charge of testing processes to guarantee product stability and reliability;
• Tackle challenging logic and integration tasks to resolve complex issues efficiently;
• Collaborate closely with the product team to integrate cutting-edge AI technologies into our platform;
• Stay updated with the latest industry trends, tools, and technologies related to React and React Native.

Requirements:

• Proven experience (5+ years) working as a React Developer;
• Strong background in React native;
• Mobile development experience (iOS and Android);
• Experience writing extensive example and frontend unit tests;
• Very strong English ability (written is a priority);
• History of managing large teams successfully;
• Ability to thrive in a fast-paced, collaborative environment while managing multiple priorities.

Currently we’re looking for an experienced Technical Lead to help deliver the project in MRO area for our US customer.

Our Customer has many years of experience in MRO supply chain management, operating globally, including enterprises in the USA, Canada, Europe, Puerto Rico, Mexico, and Singapore.

The product (E-commerce, Enterprise) is a corporate CRM system designed for large enterprises. It provides to corporate clients with the ability to customize the system according to the specifics of their activity and internal needs of the company. This means they can monitor logistics, warehouse balances, keep records of employees, and generate payment documents, all in one place. The project is based on infrastructure that ensures our clients’ success, utilizing the Microsoft Dynamics CRM software package.

Key clients: major global companies in various industries, including life sciences, automotive, food and beverage, chemicals, metals and mining, healthcare, higher education, and others.

Team: 5 Full stack devs, 2 Mobile Devs, 2 QA, PM, Power PBI, 3 SQL devs, DevOps.

Requirements:

• 10+ years of software development experience;
• Strong background in C#, ASP.NET, and databases (SQL, T-SQL, NoSQL) at least 5 years;
• Experience working with Power BI and SSIS/SSRS/SSAS;
• Experience working with any cloud platform (Azure, AWS);
• Understanding the architecture of distributed systems, systems for working with large data sets (OLTP vs OLAP);
• Deep knowledge of application/platform architecture, software development life cycle, and a variety of software development methodologies;
• Practical experience in converting legacy projects with a large codebase to ones with high-quality code standards;
• Practical experience in different aspects of the software lifecycle, including systems analysis, code development, software testing, deployment, and support;
• Technical experience of POC/R&D projects;
• Strong communication skills and be comfortable in leasing with stakeholders at all levels;
• Upper-Intermediate level of spoken English;
• Ability to build, lead, and grow strong teams.

Nice-to-have:

• OWASP principles;
• Working experience with React or any FE framework;
• Practical experience with Elasticsearch or other search platforms;
• Working experience with financial systems, including billing/invoicing, revenue management, procure-to-pay;
• Experience with MS Dynamic 365;
• Experience with mobile development: iOS, Android;
• Knowledge of Virtualization, Containerization and Orchestration (VM, Docker, Kubernetes, Nomad).

Responsibilities:

• Development of tabular models;
• Build, configure, and maintain the CI/CD pipelines;
• In partnership with other team members, review and recommend technology solutions;
• Provide technical leadership, and offer insights on design choices, architecture, and technology stack, ensuring alignment with project goals;
• Lead software development projects, overseeing the entire development lifecycle from inception to deployment;
• Mentor team members, fostering their professional growth, skill development, and overall performance improvement;
• Conduct technical interviews for prospective developers;
• Collaborate with the team, overseeing individual tasks, devising strategies, and establishing timelines;
• Work closely with Reporting, Mobile, Dynamic 365 teams, project manager, and product manager.