AI Engineer

Batch: 2020/2021/2022/2023/2024/2025. Responsibilities: - Build and deploy LLM-powered applications using GPT, Claude, Llama and other frontier models - Develop Agentic AI systems with LangChain & LangGraph - Build multi-step agents with planning, tool use, routing and orchestration - Design and optimize RAG pipelines, embeddings, vector databases and hybrid search - Develop scalable AI applications using Python, Pydantic and async frameworks - Implement function calling, API integrations and tool orchestration - Deploy production AI workloads on GCP / Vertex AI - Work on data ingestion and scraping pipelines using tools such as Playwright and BeautifulSoup - Implement evaluation, guardrails, monitoring and structured outputs for reliable AI systems Key Skills: - Python - LLMs - RAG - LangChain - LangGraph - GCP - Vertex AI - Pydantic - Vector Databases - Function Calling - APIs - Agentic AI - Experience with LoRA/adapters, multimodal models, MLOps, Docker/Kubernetes and model evaluation will be an added advantage Qualifications: - Bachelor's/Master's degree in Computer Science, Engineering, Data Science or a related field - Experience: 1–6 years Note: Please share your updated resume along with: Current CTC, Expected CTC, Notice Period, Total Experience