Associate Engineer - AI/ML with Python

We are seeking a highly enthusiastic Agentic AI Engineer with up to 1 year of experience to work on next-generation AI systems driven by autonomous agents and Large Language Models (LLMs). This role is ideal for fresh graduates or early-career professionals passionate about AI, web technologies, and cloud-native development who want to build intelligent, scalable, and automated solutions. Responsibilities: - Design and develop Agentic AI workflows using LLMs, tools, planners, and memory components. - Build and integrate LLM-powered applications using frameworks such as LangChain and LlamaIndex. - Develop RESTful APIs and backend services using Django, Flask, FastAPI, Robyn Framework, or Vert.x. - Implement Retrieval Augmented Generation (RAG) pipelines using vector databases and embeddings. - Work on Machine Learning model development, including feature engineering and data preprocessing. - Develop and maintain web applications and microservices with secure authentication (OAuth, JWT). - Utilize Celery tasks for asynchronous processing and background AI workloads. - Work with databases and search systems such as MySQL, Redis, ElasticSearch, and ScyllaDB. - Containerize applications using Docker and support deployments on Kubernetes. - Assist in model training, CI/CD pipelines, and cloud deployments on AWS. - Collaborate in an agile team across the Software Development Life Cycle (SDLC). Requirements: - 0 to 1 year of experience (or strong academic/project exposure) in AI, ML, or Software Development. - Programming knowledge in Python (mandatory); exposure to GoLang, Java, SQL, JavaScript is a plus. - Understanding of HTML, CSS, and modern web application architecture. - Familiarity with Machine Learning fundamentals and common ML algorithms. - Hands-on exposure to ML libraries: TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy. - Basic understanding of NLP, Transformers, and Large Language Models (OpenAI, LLaMA). - Knowledge of RESTful APIs, JSON, and SQLAlchemy. - Experience (academic or project-based) with Git, GitHub or Bitbucket. - Awareness of CI/CD pipelines, build processes, and software deployment concepts. - Strong analytical thinking and problem-solving mindset. Bonus Points: - Practical experience with Agentic AI concepts (tools, reasoning, planning, memory). - Hands-on projects using Hugging Face, LangChain, or LlamaIndex. - Exposure to RAG architectures and vector databases. - Experience with Docker, Kubernetes, Jenkins, Kibana. - Familiarity with AWS services for application or ML deployment. - Internship or academic project experience in AI/ML or Full-Stack Development. - Open-source contributions or personal GitHub projects.

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