- Define & Drive end to end UX architecture for SaaS, CRM platforms. - Architect UX patterns for real-time applications- dashboards, dynamic user interactions. - Integrate findings into wireframes, prototypes using Figma, Adobe XD, or Sketch. Required Candidate profile 10+ years of experience in UI/UX design, with at least 5 years in an architect or leadership role. Proficiency in Figma, Adobe Creative Suite, HTML/CSS, JavaScript frameworks and prototyping tools.

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.

Design and implement AWS-based infrastructure & DevOps solutions. Automate deployments, monitoring, management using tools like Cloud Formation, Terraform, CDK. Build, maintain CI/CD pipelines using tools like Code Pipeline, Jenkins, GitLab CI, etc. Required Candidate profile 7+ years of experience in DevOps, Cloud Architecture, or Site Reliability Engineering 4+ years of proven experience in designing and deploying AWS solutions at scale

Policy Processing: Review, process, and maintain insurance policies, endorsements, and renewals. Claims Support: Reviewing, evaluating, and ensuring all required documentation . Data Entry & Documentation is received & processed. Required Candidate profile 3-5 years of experience in US Insurance policy processing, claims handling, and underwriting procedures. Familiarity with claims systems, policy administration software, and related tools.

We are seeking a highly motivated AI Engineer with extensive experience in Python, Fast API, and event-driven microservice architecture. The position requires a strong technical background paired with a product-focused mindset.

Should have deep understanding of enterprise-grade CRM systems, design systems, and real-time user interfaces. Design Strategy & Architecture ;Cross-functional Collaboration ; Real-Time Application; Research & Usability Design. Required Candidate profile 10+ years of experience in UI/UX design, with at least 5 years in an architect or leadership role. Proficiency in Figma, Adobe Creative Suite, HTML/CSS, JavaScript frameworks and prototyping tools.

Design, develop, and maintain scalable APIs using Python and FastAPI. Integrate backend services with React front-end applications. Collaborate with front-end developers to ensure smooth integration of UI and backend systems. Required Candidate profile Strong experience with Python and FastAPI for backend development. Familiarity with building RESTful APIs, integrating them with front-end framework. Proficient in working with databases (SQL ,NoSQL).

Talent Acquisition Strategy Sourcing and Screening Stakeholder Management Process Management Recruitment Analytics Required Candidate profile Education & Experience:- Bachelor& degree in Human Resources, Business Administration, or related field 5–8 years of experience in technical recruitment, preferably in fast-paced environments.

The Infrastructure Architect will lead the design, implementation, and optimization of collaborate with engineering, DevOps, product, compliance teams to create world-class infrastructure blueprints tailored to AI-driven microservice-based platforms Required Candidate profile Strong experience with distributed and cloud-native architecture design. Deep knowledge of compute, storage, networking, and cloud security in AWS/Azure/GCP .Expertise in container orchestration

Transnational ai Architect develop scalable backend systems using Python and FastAPI Collaborate with data scientists to productionize AI/ML models Deploy intelligent services using AWS Lambda, API Gateway, DynamoDB, etc.

Design, develop, and maintain scalable APIs using Python and FastAPI. Integrate backend services with React front-end applications. Collaborate with front-end developers to ensure smooth integration of UI and backend systems. Required Candidate profile Strong experience with Python and FastAPI for backend development. Familiarity with building RESTful APIs, integrating them with front-end framework. Proficient in working with databases (SQL ,NoSQL).