AI Engineer

6 days ago

Mumbai, India Kayana | Ordering & Payment Solutions Full time

Job Title: AI Engineer (LLMs, Agentic Systems & Model Training) Employment Type: Full-Time Experience Level: Mid–Senior We are seeking a highly skilled AI Engineer with deep expertise in Large Language Models (LLMs) , AI Agents , and advanced retrieval and fine-tuning techniques . The ideal candidate has hands-on experience training and optimizing LLMs, building agentic workflows, utilizing vector embeddings, and implementing Agentic RAG and Cache-RAG architectures . Strong proficiency in Python and Java is required. LLM Development & Model Training Implement supervised fine-tuning (SFT), RLHF, PEFT/LoRa, and other parameter-efficient training methods. Evaluate and improve model performance using modern benchmarking and evaluation tools. AI Agents & Autonomous Workflows Build and deploy AI agents capable of tool use, planning, memory, and multi-step reasoning. Design and implement Agentic RAG , Cache-RAG , and hybrid retrieval pipelines. Work with vector databases (Postgres Vector, Pinecone, FAISS, Milvus, Chroma, Weaviate, etc.). Ensure integrity, quality, and relevance of retrieval datasets. Software Engineering Develop scalable AI services using Python and Java. Build APIs, microservices, and data pipelines that support AI workflows. Partner with data scientists, ML engineers, product teams, and researchers. Stay current with state-of-the-art LLM research, agent frameworks, and vector search technologies. Propose and prototype innovative AI features and architectures. Bachelor’s/Master’s in computer science, AI, Machine Learning, or related field. Strong proficiency in Python and Java , with demonstrable project experience. Hands-on experience fine-tuning and training LLMs (e.g., Experience with agent's frameworks (LangChain, AutoGen, OpenAI Agents, LlamaIndex agents, custom agents). Familiarity with GPU pipelines, distributed training, and model deployment. Understanding of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Experience with multi-modal LLMs (vision, audio, code). Experience with orchestration tools (Ray, Prefect, Airflow). Contributions to open-source AI projects. Competitive salary and benefits Opportunity to work with cutting-edge AI systems Career growth and leadership opportunities

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