About the Company: Transnational AI Private Limited is a next-generation AI-first company committed to building scalable, intelligent systems for digital marketplaces, insurance, employment, and healthcare sectors. We drive innovation through AI engineering, data science, and seamless platform integration powered by event-driven architectures. Role Summary: We are looking for a highly motivated AI Engineer with strong experience in Python, FastAPI, and event-driven microservice architecture. You will be instrumental in building intelligent, real-time systems that power scalable AI workflows across our platforms. This role combines deep technical engineering skills with a product-oriented mindset. Key Responsibilities: Architect and develop AI microservices using Python and FastAPI within an event-driven ecosystem. Implement and maintain asynchronous communication between services using message brokers like Kafka, RabbitMQ, or NATS. Convert AI/ML models into production-grade, containerized services integrated with streaming and event-processing pipelines. Design and document async REST APIs and event-based endpoints with comprehensive OpenAPI/Swagger documentation. Collaborate with AI researchers, product managers, and DevOps engineers to deploy scalable and secure services. Develop reusable libraries, automation scripts, and shared components for AI/ML pipelines. Maintain high standards for code quality, testability, and observability using unit tests, logging, and monitoring tools. Work within Agile teams to ship features iteratively with a focus on scalability, resilience, and fault tolerance. Required Skills and Experience: Proficiency in Python 3.x with a solid understanding of asynchronous programming (async/await). Hands-on experience with FastAPI; knowledge of Flask or Django is a plus. Experience building and integrating event-driven systems using Kafka, RabbitMQ, Redis Streams, or similar technologies. Strong knowledge of event-driven microservices, pub/sub models, and real-time data streaming architectures. Exposure to deploying AI/ML models using PyTorch, TensorFlow, or scikit-learn. Familiarity with containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, GCP, Azure). Experience with unit testing frameworks such as PyTest, and observability tools like Prometheus, Grafana, or OpenTelemetry. Understanding of security principles including JWT, OAuth2, and API security best practices. Nice to Have: Experience with MLOps pipelines and tools like MLflow, DVC, or Kubeflow. Familiarity with Protobuf, gRPC, and async I/O with WebSockets. Prior work in real-time analytics, recommendation systems, or workflow orchestration (e.g., Prefect, Airflow). Contributions to open-source projects or active GitHub/portfolio. Educational Background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline. Why Join Transnational AI: Build production-grade AI infrastructure powering real-world applications. Collaborate with domain experts and top engineers across marketplaces, insurance, and Workforce platforms. Flexible, remote-friendly environment with a focus on innovation and ownership. Competitive compensation, bonuses, and continuous learning support. Work on high-impact projects that influence how people discover jobs, get insured, and access personalized digital services. Show more Show less
Job Title : Business Development Manager (US Staffing) Employment Type : Full-Time (US Shift) Experience : 7-10 years Location : Hyderabad Key Responsibilities Build and manage strong relationships with US-based clients. Understand client staffing needs and deliver tailored recruitment solutions. Collaborate with recruiters to source, screen, and place top talent. Manage full-cycle recruitment for both permanent and contract roles. Identify new business opportunities and negotiate client contracts. Oversee multiple client accounts and ensure timely delivery. Coordinate with internal teams (HR, ops, recruitment) for seamless execution. Track metrics and provide regular client updates and reports. Skills & Qualifications US Staffing Industry Experience : Solid understanding of the staffing and recruitment industry, particularly in the US market. Excellent Communication : Strong verbal and written communication skills with the ability to build and maintain relationships. Multitasking & Time Management : Proven ability to thrive in a fast-paced environment while managing multiple priorities and deadlines. Tech-Savvy : Familiarity with Applicant Tracking Systems (ATS) and modern recruitment tools. Business Acumen : Strong negotiation skills with the ability to understand client needs and successfully close deals. Show more Show less
Job Title: AI Architect Location: On-site / Hyderabad, India Position Type: Full-Time About the Company: Transnational AI Private Limited is a next-generation AI-first company committed to building scalable, intelligent systems for digital marketplaces, insurance, employment, and healthcare sectors. We drive innovation through AI engineering, data science, and seamless platform integration powered by event-driven architectures. Role Summary: We are looking for a highly motivated AI Engineer with strong experience in Python, FastAPI, and event-driven microservice architecture. You will be instrumental in building intelligent, real-time systems that power scalable AI workflows across our platforms. This role combines deep technical engineering skills with a product-oriented mindset. Key Responsibilities: Architect and develop AI microservices using Python and FastAPI within an event-driven ecosystem. Implement and maintain asynchronous communication between services using message brokers like Kafka, RabbitMQ, or NATS. Convert AI/ML models into production-grade, containerized services integrated with streaming and event-processing pipelines. Design and document async REST APIs and event-based endpoints with comprehensive OpenAPI/Swagger documentation. Collaborate with AI researchers, product managers, and DevOps engineers to deploy scalable and secure services. Develop reusable libraries, automation scripts, and shared components for AI/ML pipelines. Maintain high standards for code quality, testability, and observability using unit tests, logging, and monitoring tools. Work within Agile teams to ship features iteratively with a focus on scalability, resilience, and fault tolerance. Required Skills and Experience: Proficiency in Python 3.x with a solid understanding of asynchronous programming (async/await). Hands-on experience with FastAPI; knowledge of Flask or Django is a plus. Experience building and integrating event-driven systems using Kafka, RabbitMQ, Redis Streams, or similar technologies. Strong knowledge of event-driven microservices, pub/sub models, and real-time data streaming architectures. Exposure to deploying AI/ML models using PyTorch, TensorFlow, or scikit-learn. Familiarity with containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, GCP, Azure). Experience with unit testing frameworks such as PyTest, and observability tools like Prometheus, Grafana, or OpenTelemetry. Understanding of security principles including JWT, OAuth2, and API security best practices. Nice to Have Experience with MLOps pipelines and tools like MLflow, DVC, or Kubeflow. Familiarity with Protobuf, gRPC, and async I/O with WebSockets. Prior work in real-time analytics, recommendation systems, or workflow orchestration (e.g., Prefect, Airflow). Contributions to open-source projects or active GitHub/portfolio. Educational Background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline. Why Join Transnational AI? Build production-grade AI infrastructure powering real-world applications. Collaborate with domain experts and top engineers across marketplaces, insurance, and Workforce platforms. Flexible, remote-friendly environment with a focus on innovation and ownership. Competitive compensation, bonuses, and continuous learning support. Work on high-impact projects that influence how people discover jobs, get insured, and access personalized digital services.
Job Title: Senior Fast API Python Developer / Architect Employment Type: Full-time Location: Remote/On-site/Hybrid Job Summary: We are seeking an experienced Senior FastAPI Python Developer / Architect to design, develop, and maintain high-performance web applications and APIs. The ideal candidate will have extensive expertise in Python, FastAPI, and microservices architecture, along with a deep understanding of cloud-based, scalable, and secure backend solutions. This role requires leadership in architectural decision-making, performance optimization, and technical mentoring. Key Responsibilities: Architect, design, and develop scalable and high-performance FastAPI-based web applications and RESTful APIs. Lead the design and implementation of a microservices-based architecture for large scale applications. Implement best practices in API design, security, and performance optimization. Develop and manage asynchronous APIs and integrate them with databases, caching systems, and third-party services. Ensure code quality, maintainability, and scalability by enforcing best practices. Provide technical leadership and mentorship to the development team. Collaborate with frontend developers, DevOps engineers, and other stakeholders for seamless integration. Implement authentication, authorization, and security best practices using OAuth2, JWT, and API Key-based mechanisms. Optimize database schemas and queries for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases. Conduct code reviews, unit testing, and integration testing to maintain high reliability and performance. Stay up-to-date with FastAPI, Python, and modern backend development trends. Required Skills and Qualifications: Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. 5+ years of experience in backend development with Python. 3+ years of experience specifically with FastAPI. Strong expertise in asynchronous programming, microservices architecture, and API development. Experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases. Deep understanding of authentication mechanisms like OAuth2, JWT, and API security best practices. Expertise in Docker, Kubernetes, and CI/CD pipelines. Strong background in cloud platforms (AWS, Azure, or Google Cloud). Experience with scalability, performance optimization, and caching techniques. Hands-on experience with unit testing frameworks (pytest, unittest) and CI/CD pipelines. Strong problem-solving skills and the ability to handle complex challenges. Ability to lead, mentor, and provide technical guidance to a team. Preferred Skills: Experience with Celery or other task queues for background processing. Knowledge of WebSockets and real-time applications. Experience in event-driven architectures and message queues (Kafka, RabbitMQ, or similar). Experience with GraphQL (optional but a plus). Previous experience working in an Agile/Scrum development environment. Contribution to open-source projects or personal FastAPI projects is highly regarded.
You are an experienced Senior FastAPI Python Developer / Architect who will be responsible for designing, developing, and maintaining high-performance web applications and APIs. Your expertise in Python, FastAPI, and microservices architecture, along with a deep understanding of cloud-based, scalable, and secure backend solutions, will be crucial for this role. As a leader, you will be involved in architectural decision-making, performance optimization, and technical mentoring. Your key responsibilities will include architecting, designing, and developing scalable and high-performance FastAPI-based web applications and RESTful APIs. You will lead the design and implementation of a microservices-based architecture for large scale applications and ensure best practices in API design, security, and performance optimization. Managing asynchronous APIs, integrating them with databases, caching systems, and third-party services, and enforcing code quality, maintainability, and scalability through best practices will also be part of your role. In addition, you will provide technical leadership and mentorship to the development team, collaborate with frontend developers, DevOps engineers, and other stakeholders, and implement authentication, authorization, and security best practices using OAuth2, JWT, and API Key-based mechanisms. Optimizing database schemas and queries for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases, conducting code reviews, unit testing, and integration testing, and staying up-to-date with FastAPI, Python, and modern backend development trends are also essential aspects of this role. Required Skills and Qualifications: - Bachelors/Masters degree in Computer Science, Engineering, or a related field. - 5+ years of experience in backend development with Python. - 3+ years of experience specifically with FastAPI. - Strong expertise in asynchronous programming, microservices architecture, and API development. - Experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases. - Deep understanding of authentication mechanisms like OAuth2, JWT, and API security best practices. - Expertise in Docker, Kubernetes, and CI/CD pipelines. - Strong background in cloud platforms (AWS, Azure, or Google Cloud). - Experience with scalability, performance optimization, and caching techniques. - Hands-on experience with unit testing frameworks (pytest, unittest) and CI/CD pipelines. - Strong problem-solving skills and the ability to handle complex challenges. - Ability to lead, mentor, and provide technical guidance to a team. Preferred Skills: - Experience with Celery or other task queues for background processing. - Knowledge of WebSockets and real-time applications. - Experience in event-driven architectures and message queues (Kafka, RabbitMQ, or similar). - Experience with GraphQL (optional but a plus). - Previous experience working in an Agile/Scrum development environment. - Contribution to open-source projects or personal FastAPI projects is highly regarded.,