Odore

 Core Requirements
Experience: min 6-7 years in software testing (manual or mixed — manual + automation).
Understanding of development processes: SDLC, STLC, types and levels of testing, defect lifecycle, and estimation techniques.
Documentation: ability to create test cases, checklists, and bug reports (Jira, TestRail, Confluence, or equivalents).
Tools: Postman/Insomnia, Swagger, Jira, DevTools, Fiddler, or similar.
API testing: experience with REST / JRPC, understanding of HTTP requests, status codes, and request parameters.
Databases: basic knowledge of SQL (select, join, aggregate functions).
Experience working with hooks and sockets.

Experience with CI/CD (GitHub Actions,  GitLab CI).
UI / Web / Backend testing: experience testing web applications, responsiveness, cross-browser and cross-platform compatibility. Soft Skills
 

• Attention to detail, analytical thinking, and proactivity.
• Ability to describe defects clearly and explain their impact.
• Willingness to learn and work with feedback.
• Strong communication and teamwork skills.
• Problem-solving mindset and readiness to take ownership.
• English — Intermediate+ level (for reading documentation, correspondence, and meetings).

 Would Be a Plus
 

• Automation (advantage): basic knowledge of JS / TypeScript; experience with Playwright is a plus.
• Understanding of API test automation fundamentals.
• Familiarity with Agile / Scrum / Kanban methodologies.
• Experience working with logging and monitoring tools (Kibana, Grafana, Sentry).
• Testing of microservices and microservice-oriented architectures.

We are seeking a highly skilled Lead AI Engineer to design, integrate, and optimize AI-driven solutions across our platform. This role will focus on integrating existing AI tools and services, enhancing data processing and analysis workflows with AI, and laying the technical foundation for advanced AI capabilities.

You will work closely with backend, frontend, and product teams, and over time, grow into an AI Lead position, shaping the long-term AI strategy and architecture.

Key Responsibilities

AI Integration & Architecture

• Integrate and orchestrate third-party and in-house AI/ML tools (e.g., LLMs, embeddings, vector databases, AI APIs).
• Design scalable AI-powered services that integrate seamlessly with existing systems.
• Evaluate new AI technologies and tools, and recommend adoption based on business impact.

Data Processing & AI Optimization

• Optimize data pipelines for AI-driven processing, analysis, and automation.
• Apply AI techniques to improve data quality, insights generation, and operational efficiency.
• Collaborate with data and product teams to translate business needs into AI solutions.

Backend & Frontend Collaboration

• Build and maintain AI-enabled backend services using Python, AWS, and RESTful APIs.
• Expose AI capabilities via well-structured APIs for frontend consumption.
• Work with frontend engineers to integrate AI features into React applications.

Scalability, Reliability & Security

• Ensure AI solutions are production-ready, scalable, cost-efficient, and secure.
• Monitor performance, latency, and accuracy of AI systems in production.
• Implement best practices for model versioning, observability, and responsible AI use.

Leadership & Growth

• Act as a technical mentor for engineers working with AI-related features.
• Contribute to defining AI standards, best practices, and long-term roadmap.
• Gradually take ownership of AI architecture and strategy, growing into an AI Lead role.

Required Qualifications

• 5+ years of relevant experience in software engineering, machine learning, or AI-focused roles.
• Strong proficiency in Python, with experience building production backend systems.
• Hands-on experience with AI/ML integration, including LLMs, ML APIs, or AI platforms.
• Experience with AWS (e.g., EC2, Lambda, S3, SageMaker, or similar services).
• Solid understanding of RESTful API design and microservice architectures.
• Experience collaborating with frontend teams using React or similar frameworks.
• Strong knowledge of data processing, analysis pipelines, and performance optimization.
• Ability to design systems that balance experimentation with production reliability.

Nice to Have

• Experience with MLOps, model deployment, and monitoring.
• Familiarity with vector databases, retrieval-augmented generation (RAG), or agent-based systems.
• Experience optimizing AI cost, latency, and inference performance.
• Prior experience mentoring engineers or leading technical initiatives.
• Exposure to AI ethics, governance, and compliance considerations.

What We Offer

• Opportunity to build and scale AI capabilities in a real-world production environment.
• Clear growth path toward an AI Lead position with strategic ownership.
• High level of autonomy and technical influence.
• Collaborative environment working across backend, frontend, and product teams.
• Competitive compensation and benefits, commensurate with experience.

We are seeking a highly skilled Senior AI Engineer to design, integrate, and optimize AI-driven solutions across our platform. This role will focus on integrating existing AI tools and services, enhancing data processing and analysis workflows with AI, and laying the technical foundation for advanced AI capabilities.

You will work closely with backend, frontend, and product teams, and over time, grow into an AI Lead position, shaping the long-term AI strategy and architecture.

Key Responsibilities

AI Integration & Architecture

• Integrate and orchestrate third-party and in-house AI/ML tools (e.g., LLMs, embeddings, vector databases, AI APIs).
• Design scalable AI-powered services that integrate seamlessly with existing systems.
• Evaluate new AI technologies and tools, and recommend adoption based on business impact.

Data Processing & AI Optimization

• Optimize data pipelines for AI-driven processing, analysis, and automation.
• Apply AI techniques to improve data quality, insights generation, and operational efficiency.
• Collaborate with data and product teams to translate business needs into AI solutions.

Backend & Frontend Collaboration

• Build and maintain AI-enabled backend services using Python, AWS, and RESTful APIs.
• Expose AI capabilities via well-structured APIs for frontend consumption.
• Work with frontend engineers to integrate AI features into React applications.

Scalability, Reliability & Security

• Ensure AI solutions are production-ready, scalable, cost-efficient, and secure.
• Monitor performance, latency, and accuracy of AI systems in production.
• Implement best practices for model versioning, observability, and responsible AI use.

Leadership & Growth

• Act as a technical mentor for engineers working with AI-related features.
• Contribute to defining AI standards, best practices, and long-term roadmap.
• Gradually take ownership of AI architecture and strategy, growing into an AI Lead role.

Required Qualifications

• 5+ years of relevant experience in software engineering, machine learning, or AI-focused roles.
• Strong proficiency in Python, with experience building production backend systems.
• Hands-on experience with AI/ML integration, including LLMs, ML APIs, or AI platforms.
• Experience with AWS (e.g., EC2, Lambda, S3, SageMaker, or similar services).
• Solid understanding of RESTful API design and microservice architectures.
• Experience collaborating with frontend teams using React or similar frameworks.
• Strong knowledge of data processing, analysis pipelines, and performance optimization.
• Ability to design systems that balance experimentation with production reliability.

Nice to Have

• Experience with MLOps, model deployment, and monitoring.
• Familiarity with vector databases, retrieval-augmented generation (RAG), or agent-based systems.
• Experience optimizing AI cost, latency, and inference performance.
• Prior experience mentoring engineers or leading technical initiatives.
• Exposure to AI ethics, governance, and compliance considerations.

What We Offer

• Opportunity to build and scale AI capabilities in a real-world production environment.
• Clear growth path toward an AI Lead position with strategic ownership.
• High level of autonomy and technical influence.
• Collaborative environment working across backend, frontend, and product teams.
• Competitive compensation and benefits, commensurate with experience.

We are seeking an experienced Python Team Lead to join our growing team. As a Team Lead, you will play a pivotal role in overseeing and driving the success of our Python development team. The successful candidate will have a strong background in Python development, leadership skills, and a passion for delivering high-quality software solutions.

Key Responsibilities:

Lead and mentor a team of Python developers in the design, development, and delivery of software solutions.

Collaborate with cross-functional teams, including product managers, designers, and other engineering teams, to ensure project success.

Provide technical guidance and expertise to team members, fostering a culture of continuous learning and improvement.

Architect, design, and implement robust and scalable solutions using the project tech stack: Python, Mongo DB, FAST API framework, PostgreSQL, SqlAlchemy, Unit tests, and AWS.

Ensure code quality, performance, and adherence to coding standards through code reviews and continuous integration practices.

Collaborate with stakeholders to gather requirements and translate them into technical specifications.

Troubleshoot and resolve complex technical issues, ensuring the team meets project deadlines and goals.

Requirements:

Proven experience as a Python Developer with a strong understanding of Python best practices.

Previous experience in a leadership or mentoring role, guiding and developing junior developers.

Solid understanding of the project tech stack, including Python, Mongo DB, FAST API framework, PostgreSQL, SqlAlchemy, Unit tests, and AWS.

Experience in designing and implementing scalable and maintainable software solutions.

Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.

Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.

Nice to Have:

Certification in Python or relevant technologies.

Experience with Martech.