Job
Description
Job description We are looking for Junior AI/GenAI Engineers who are passionate about building innovative AI-driven solutions using LLMs, Python, and modern cloud tools The ideal candidates will have hands-on experience with Generative AI, ML model deployment, vector databases, and a good grasp of DevOps or API development practices You ll be part of a fast-paced, collaborative team focused on building scalable, intelligent systems powered by the latest in AI and machine learning Key Requirements: Develop and deploy AI/GenAI solutions using technologies like OpenAI, LangChain, and Google GenAI Design, build, and deploy chatbots, RAG pipelines, code generators, and smart assistants Integrate APIs and cloud services (hyperscalar) for seamless solution delivery Collaborate on building fast, responsive UIs (React forms, Streamlit dashboards, etc) powered by AI backends Work with vector databases like Pinecone, Milvus, and cloud-native ML tools Apply DevOps practices such as CI/CD, containerization (Docker/Podman), and monitoring for deployed solutions Required Skills: Programming: Python (must), SQL GenAI/ML Tools: LangChain, OpenAI/GPT-4, CrewAI, Whisper, RAG pipelines ML/DS Concepts: Classification models, NLP, Vector Embeddings Frameworks: FastAPI, Flask, Django (optional) Databases: PostgreSQL, MySQL, MongoDB, Pinecone/Milvus Cloud Platforms: AWS, GCP, Azure (any one) DevOps: Docker, Kubernetes, GitHub Actions (basics) Preferred Skills: Basic UI skills in React or Streamlit for internal tools Understanding of voice-based systems or chatbot UX Familiarity with any domain specific GenAI use cases Educational Qualifications: Bachelor s/Master s degree in Computer Science, Information Technology, or related fields 2-6 years of industry experience in AI/ML/GenAI
