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Agentic AI Engineer

Training Basket63 open roles

Where
Noida, Uttar Pradesh, India
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Your applicationOpen nowAgentic AI EngineerTraining Basket · Noida, Uttar Pradesh, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Training Basket's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted today

The posting

Design, develop, and deploy AI agents to automate complex workflows and business processes. Build agentic AI applications using LLMs and Generative AI technologies. Develop multi-agent systems that collaborate to solve complex problems. Integrate AI agents with external APIs, databases, and enterprise applications. Implement tool calling, function calling, memory management, and task planning. Develop Retrieval-Augmented Generation (RAG) pipelines for knowledge-based applications. Work with frameworks such as LangChain, LangGraph, CrewAI, or AutoGen. Design prompt engineering strategies to improve agent performance and response quality. Implement guardrails, validation, monitoring, and error-handling mechanisms. Evaluate AI agent accuracy, reliability, latency, and cost. Optimize agent workflows for scalability, efficiency, and security. Collaborate with cross-functional teams to identify automation opportunities. Document system architecture, workflows, and technical implementation. Requirements Strong programming knowledge of Python. Understanding of Artificial Intelligence, Machine Learning, and Generative AI. Knowledge of LLMs, prompt engineering, and transformer-based models. Familiarity with AI agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen. Understanding of tool calling, function calling, and agent orchestration. Knowledge of RAG, embeddings, vector databases, and semantic search. Experience with REST APIs, JSON, and database integration. Familiarity with vector databases such as FAISS, Chroma, Pinecone, or Weaviate. Understanding of Git, debugging, and software development best practices. Strong analytical, problem-solving, and communication skills.

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    The review screen in CV Rocket: how each CV was read, round by round.

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