Artificial Intelligence Developer Female Graduate Jobs in Pune

Job Title: AI BOT Developer Employment Type: InternshipJob Location: Remote Core ResponsibilitiesIndian Brokerage API Integration: Integrate with major Indian broker APIs such as Zerodha (Kite Connect), Angel One (SmartAPI), and Upstox to automate order execution and portfolio man-engagementCompliance-First Development: Implement mandatory 2026 security protocols, including static IP whitelisting, daily 2FA/OAuth sessions, and MPP (Market Price Protection) for market ordersAI Strategy & Back-testing: Build AI-driven strategies (e.g., sentiment analysis or LSTM-based forecasting) and validate them via extensive back testing on historical NSE/BSE dataExplainable AI (XAI): Deploy Explainability Logs as required by SEBI to document how AI mod-els make specific trading decisionsMulti-lingual Support: For customer-facing bots, integrate regional language support (Hindi, Telu-gu, etc.) to cater to the diverse user base in Tier 2/3 cities.Required Technical Skills Stock Market Specifics: Expert understanding of WebSocket APIs for real-time data streaming and REST APIs for order placementRisk Mitigation: Implementation of Kill Switches to instantly disable malfunctioning algos and managing order throttle limits (max 10 orders per second)Languages & Frameworks: Proficiency in Python and frameworks like TensorFlowJob.

Job Openings for 10 GenAI Developer Python / Agentic AI Jobs with minimum 4 Years Experience in Pune, having Educational qualification of : B.E with Good knowledge in Python., LangChain, Hugging Face, OpenAI SDK, FAISS, Pinecone, Weaviate, AWS, Databricks, PySpark, Git, CI/CD pipelines etc.Contact Detail -: Priyamd103@gmail.com 8105734745

As an AI Developer specializing in Generative AI, Langchain, and RAG technologies, your responsibilities will include:- Developing novel algorithms and models for generative AI applications- Implementing and optimizing language models for natural language processing tasks- Researching and experimenting with state-of-the-art models such as RAG (Retrieval-Augmented Generation)- Collaborating with cross-functional teams to integrate AI solutions into existing products and systems