Job Summary: We are looking for a talented AI/ML Developer with full-stack development skills to join our team and contribute to the development of Agentic AI applications. The ideal candidate should have a strong foundation in machine learning, deep learning, natural language processing (NLP), and full-stack web development. You will be responsible for designing, building, and deploying AI-driven applications that can autonomously interact with users and external systems Key Responsibilities: Design, develop, and implement AI/ML models for Agentic AI applications. Build scalable full-stack applications integrating AI models with frontend and backend services. Develop APIs and microservices to support AI-driven interactions. Work with cloud platforms (AWS, Azure, or GCP) to deploy and scale AI applications. Optimize and fine-tune AI models for efficiency and accuracy. Implement real-time data processing pipelines and integrate with external APIs. Ensure application security, performance, and scalability. Collaborate with cross-functional teams to refine business requirements and translate them into technical solutions. Conduct testing and debugging to ensure robustness and reliability. Required Skills & Qualifications: AI/ML Expertise: Experience with Python, Tensor Flow, Py Torch, Open AI API, Lang Chain, or similar AI frameworks. Full-Stack Development: Proficiency in frontend (React.js, Vue.js, Angular) and backend (Node.js, Django, Flask, Fast API) technologies. Cloud & DevOps: Experience with AWS, Azure, or GCP, and familiarity with Docker, Kubernetes, and CI/CD pipelines. Data Engineering: Knowledge of databases (SQL & NoSQL), data pipelines, and real-time streaming technologies. API Development: Hands-on experience with RESTful and Graph QL APIs. NLP & LLMs: Understanding of transformer models, conversational AI, and large language models (LLMs). Version Control & Collaboration: Experience with Git, GitHub, and Agile methodologies. Strong problem-solving skills and ability to work independently. Preferred Qualifications: Experience working on Generative AI or Autonomous Agents. Knowledge of vector databases and retrieval-augmented generation (RAG). Familiarity with reinforcement learning and self-improving AI systems. Exposure to AI-driven chatbots or virtual assistants. Contribution to open-source AI projects or published research papers.
