Lead II - DevOps Engineering (AI Engineer with Node.Js)
Actively Reviewing the ApplicationsUST
Bengaluru, Karnataka, India
Full-Time
On-site
Posted 5 months ago
•
Apply by May 4, 2026
Job Description
Role Description
Description: Overview: We are seeking a passionate and skilled AI Engineer with strong Node.js expertise and a proven track record in integrating modern AI tools and frameworks. You will play a critical role in building intelligent applications and backend services that leverage state-of-the-art large language models (LLMs), embeddings, and AI pipelines. Key Responsibilities:
Design and implement scalable AI-powered solutions using Node.js and modern AI tooling (e.g., LangChain, LlamaIndex, OpenAI, Hugging Face, etc.)
Build and maintain APIs and services to integrate LLMs, embeddings, vector databases, and inference engines into production systems
Collaborate with data scientists, MLOps engineers, and frontend teams to operationalize AI workflows ? from prompt engineering to model output consumption
Develop backend pipelines for data preprocessing, chunking, retrieval-augmented generation (RAG), and prompt orchestration
Implement semantic search and intelligent assistants using Node.js and vector stores (e.g., Pinecone, FAISS, Chroma)
Stay up-to-date with emerging trends in LLMs, generative AI, and open-source frameworks; proactively recommend and evaluate tools
Ensure robustness, performance, and security of AI integrations and APIs
Conduct peer code reviews and support junior developers in learning modern AI stacks Qualifications:
Strong proficiency in Node.js, including experience with Express.js, REST APIs, and microservices
Solid understanding of AI/ML workflows, including prompt engineering, embeddings, model invocation, and response handling
Hands-on experience integrating OpenAI, Hugging Face, LangChain, LlamaIndex, or similar tools into real-world applications
Familiarity with vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS) and semantic search architectures
Experience with cloud platforms (AWS, Azure, or GCP) and infrastructure tools like Docker and Kubernetes
Good grasp of SQL/NoSQL databases, asynchronous workflows, and CI/CD practices
Strong analytical, debugging, and communication skills Bonus Points For:
Experience building LLM-based chatbots, copilots, or agent frameworks
Knowledge of frontend frameworks (React.js/Next.js), GraphQL, or WebSockets
Skills
Node.Js,Artificial Intelligence,Express.Js,Rest Apis
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