- Develop and Deploy AI Applications:
- Design, develop, and deploy AI-driven applications utilizing large language models like GPT, Llama, and Claude.
- Implement and optimize algorithms for natural language processing (NLP) tasks and other AI-related functionalities.
- Create autonomous and semi-autonomous agents capable of planning, tool-use, and multi-step decision flows.
- Utilize LangChain/LangGraph:
- Integrate LangChain and LangGraph to build robust agent workflows, tool orchestration, and memory-backed systems.
- Implement advanced capabilities like routing, evaluation loops, and agent monitoring.
- Function Calling and API Integration:
- Develop and maintain function-calling mechanisms for seamless integration with other services and applications.
- Create and manage APIs to facilitate communication between AI models and external systems.
- Python Development:
- Write clean, productive, and scalable code in Python for AI and machine learning applications.
- Use modern Python libraries (Pydantic, async frameworks, orchestration tools) to build reliable systems.




- GCP Cloud Services:
- Deploy and manage AI and machine learning applications on Google Cloud Platform (GCP) infrastructure.
- Utilize GCP services such as Compute Engine, Cloud Storage, Cloud Functions, and Vertex AI for model training, deployment, and storage.
- Data Science and Machine Learning:
- Apply core ML and data science methods to improve model performance and system reliability.
- Build and maintain large-scale scraping and ingestion pipelines using Playwright, BeautifulSoup, etc.
- Retrieval-Augmented Generation (RAG) Systems:
- Architect, optimize, and maintain RAG pipelines combining vector stores, embeddings, and hybrid search.
- Improve retrieval quality, latency, filtering, and contextual relevance.
- Agentic Systems:
- Build multi-tool, multi-step agent workflows capable of autonomous reasoning, planning, and execution.
- Improve agent reliability through evaluation, guardrails, an

📌 AI Engineer (Bengaluru)
🏢 Growthsphereai Private
📍 Bengaluru