Artificial Intelligence Engineer
3 days ago
Job Title:AI Engineer Open Positions:2–3 Location:[Specify Location or Remote] Experience:2–8 years Preferred Education:B.Tech / M.Tech / Ph.D. in Computer Science, AI/ML, Data Science, or related fields (IIT/NIT or equivalent institutes preferred) About the Role: We are looking for passionateAI Engineerswith hands-on experience in building and deploying advancedagentic AI systems, RAG (Retrieval-Augmented Generation) architectures, and LLM-based applications . The ideal candidate will work on designing intelligent, production-grade systems leveraging modern AI frameworks and large language model APIs. Key Responsibilities: Design, develop, and optimizeAI/ML pipelinesfor agentic and LLM-driven systems. Build and deployRAG architecturesusingvector databases(e.g., Pinecone, Weaviate, FAISS). Integrate and fine-tuneLLMsusing APIs such asOpenAI, Anthropic, or local LLMs (Llama, Mistral, etc.) . Develop intelligentAI agentsleveraging tools likeLangChain, LlamaIndex , or custom frameworks. Collaborate with backend and data teams to productionize AI models. Implement prompt engineering, evaluation, and optimization for LLM applications. Ensure scalability, performance, and reliability of deployed AI systems. Stay updated on emerging trends inGenerative AI, Agent frameworks, and Retrieval systems . Required Skills & Experience: 2–8 years of experience inAI/ML application development . Strong programming skills inPythonand familiarity with frameworks likeLangChain, LlamaIndex , orHugging Face Transformers . Deep understanding ofLLMs ,RAG pipelines , andvector databases (Pinecone, Weaviate, Chroma, FAISS) . Hands-on experience withOpenAI, Anthropic, or similar LLM APIs . Knowledge ofembeddings, text retrieval, and context management . Strong grasp ofdata structures, algorithms, and ML fundamentals . Experience withcloud platforms (AWS, GCP, Azure)andcontainerization (Docker, Kubernetes)is a plus. Sonali Sindhi Whatsapp No.: +91-9634441110/ +65 60275492// Sonali.sindhi@nityo.com
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