We’re seeking a talented and driven Backend Developer to join our team and play a key role in building innovative solutions at the intersection of Generative AI and data-centric applications. You’ll work on high-impact projects leveraging cutting-edge technologies, modern backend frameworks, and scalable architectures. Key Responsibilities: Design, develop, and maintain robust backend systems with a focus on scalability and performance Implement RESTful and WebSocket APIs using FastAPI Work with GenAI frameworks and build intelligent workflows, including RAG and multi-agent systems Collaborate with cross-functional teams to integrate and optimize data pipelines and services Key Skills & Technologies Programming & Frameworks Proficient in Python, with hands-on experience using FastAPI for backend development Skilled in Pandas for data manipulation and analysis Practical experience with LangChain or LlamaIndex Familiarity with building and optimizing RAG pipelines and multi-agent AI workflows Databases Strong working knowledge of PostgreSQL and MongoDB Experience with Redis for caching and state management Messaging & Streaming Proficient in Kafka and/or RabbitMQ for building event-driven systems Cloud & DevOps Experience deploying and managing applications on AWS or Azure Familiarity with cloud-native architectures and services Nice to Have Exposure to containerization technologies like Docker and Kubernetes Understanding of CI/CD pipelines and DevOps tooling Show more Show less
We’re seeking a talented and driven Backend Developer to join our team and play a key role in building innovative solutions at the intersection of Generative AI and data-centric applications. You’ll work on high-impact projects leveraging cutting-edge technologies, modern backend frameworks, and scalable architectures. Key Responsibilities: Design, develop, and maintain robust backend systems with a focus on scalability and performance Implement RESTful and WebSocket APIs using FastAPI Work with GenAI frameworks and build intelligent workflows, including RAG and multi-agent systems Collaborate with cross-functional teams to integrate and optimize data pipelines and services Key Skills & Technologies Programming & Frameworks Proficient in Python, with hands-on experience using FastAPI for backend development Skilled in Pandas for data manipulation and analysis Practical experience with LangChain or LlamaIndex Familiarity with building and optimizing RAG pipelines and multi-agent AI workflows Databases Strong working knowledge of PostgreSQL and MongoDB Experience with Redis for caching and state management Messaging & Streaming Proficient in Kafka and/or RabbitMQ for building event-driven systems Cloud & DevOps Experience deploying and managing applications on AWS or Azure Familiarity with cloud-native architectures and services Nice to Have Exposure to containerization technologies like Docker and Kubernetes Understanding of CI/CD pipelines and DevOps tooling
Job Description: Senior Data Scientist/ AI Engineer Location: [Remote/Onsite – specify city or flexibility] Employment Type: Full-time About the Role We are looking for a highly motivated Senior Data Scientist / AI Engineer with strong expertise in machine learning, deep learning, and LLMs to build and deploy scalable AI solutions. The ideal candidate thrives in fast-paced environments, has hands-on experience with both research and production-grade ML systems, and can translate complex data into actionable insights that drive measurable business impact. Key Responsibilities Design, develop, and deploy end-to-end ML and AI solutions including predictive modeling, NLP, and computer vision applications. Build LLM-powered pipelines for text, creative, and conversational AI use cases. Develop scalable data pipelines on cloud platforms (AWS/GCP/Azure) to handle real-time and batch data. Apply advanced statistical, algebraic, and machine learning techniques to solve business-critical problems. Collaborate cross-functionally with product, engineering, and business teams to deliver AI-driven insights and tools . Develop and maintain dashboards and visualization tools for stakeholders using Tableau, Plotly, or Dash . Stay ahead of the curve in emerging AI/ML research and bring innovative ideas into production. Required Qualifications Master’s degree in Engineering, Data Science, Computer Science, Statistics, or related field . 5+ years of hands-on experience in Data Science / ML Engineering. Strong programming skills in Python, R, SQL , with experience in PyTorch/TensorFlow . Proven expertise in machine learning (classification, regression, clustering, NLP, deep learning, CNNs) . Proficiency in statistical modeling, hypothesis testing, and time-series forecasting . Experience building and deploying ML models on cloud platforms (AWS, GCP, or Azure) . Knowledge of data visualization tools (Tableau, Matplotlib, Seaborn, Plotly, ggplot). Strong ability to translate data into business insights and operational improvements . Preferred Qualifications Experience working with LLMs and generative AI frameworks . Track record of contributing to open-source ML/AI projects. Experience applying ML/AI to real-world data challenges such as content analysis, anomaly detection, or predictive modeling. Familiarity with MLOps practices , including model deployment, monitoring, and retraining. Why Join Us Work on cutting-edge AI/ML applications in a high-growth, innovative environment. Opportunity to build real-world impact solutions across enterprises. Collaborative, entrepreneurial, and data-driven culture with end-to-end ownership .