Junior AI Engineer

Job Description

Job_Description":" Position: Junior AI Engineer Type: Full-time Worksite: Work from the Office Work Location: NIBM Pune (Kondhwa) Experience Level: 3 to 5 Years Team: AI Engineering & Product Delivery Technology: Full-Stack AI Systems (LLMs & Product Integration) Role Overview We are hiring a Junior AI Engineer to support the development of intelligent microservices and LLM-powered experiences. This is a hands-on development role focused on implementing backend services, integrating prompt workflows, and building APIs to deliver real-time insights. You\u2019ll work closely with both the senior AI architect and the product team to bring AI capabilities to life. Core Responsibilities Implement and maintain AI-driven APIs and microservices using Python (FastAPI) and async workflows. Integrate LLM models for tasks such as dynamic content generation, candidate evaluations, and smart recommendations. Build embedding pipelines for search, matching, and personalization features using tools like FAISS or LangChain. Collaborate with the product team to iterate on features and refine user-facing AI experiences. Assist in prompt creation, validation, and performance tuning using available LLMOps toolchains. Handle data modeling, schema updates, and metadata tracking in PostgreSQL and MongoDB. Support CI/CD, logging, and deployment processes in a cloud-native infrastructure setup. Required Skills 3\u20136 years of experience in backend or full-stack engineering, with at least 1 year of applied experience in AI or LLM-integrated systems. Strong experience in Python, especially with FastAPI or Flask, and asynchronous programming. Familiarity with OpenAI APIs, LangChain, or similar libraries for prompt-based workflows. Experience working with REST APIs, JSON schemas, and cloud databases (PostgreSQL, MongoDB). Exposure to containerized development, CI/CD practices, and logging/monitoring tools. Willingness to collaborate closely with product and design teams, taking ownership of full implementation cycles. Tech Stack Languages & Frameworks: Python (FastAPI, Pydantic), JavaScript/React (basic familiarity preferred) AI & LLM Tools: OpenAI API, LangChain, LlamaIndex, FAISS (or Azure Cognitive Search) Data & Storage: PostgreSQL, MongoDB, Redis Infra & Deployment: Docker, GitHub Actions, Azure Container Apps (preferred) Event & Async: Kafka or Event Hubs, Celery, AsyncIO tasks Security & DevOps: JWT, OAuth2, Key Vault (preferred), logging (Sentry), monitoring (Grafana, Prometheus) ","