AI Engineer/Architect
- Transnational Ai
- 10 - 20 years
- Hyderabad
- 22 days ago
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Job Description
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
Bachelors or Masters 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 Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical ArchitectEmployement Type: Full timeContact Details:
Company: Transnational AiLocation(s): Hyderabad
Keyskills: Artificial Intelligence Fast Api Python Machine Learning
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Transnational Ai
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...
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