AI Engineers

2 hours ago

Noida Uttar Pradesh India, Ghaziabad Recro Full time

Key Responsibilities

Design and implement AI-driven conversational agents and autonomous workflows across Tutor, Coach, and Buddy products. Build scalable pipelines for LLM interaction, retrieval-augmented generation (RAG), and contextual memory.


  • Integrate multi-modal capabilities (text, voice, image, video) into learning assistants.
  • Collaborate with product, data, and backend teams to align agent behavior with learning outcomes and UX.
  • Develop evaluation frameworks for accuracy, relevance, safety, and personalization.
  • Fine-tune and optimize prompt chains, embeddings, and tool-use logic.
  • Ensure compliance with ethical AI practices, hallucination reduction, and content moderation.
  • Continuously research, test, and integrate new LLMs, APIs, and frameworks to enhance agent capabilities.
  • Contribute to building reusable AI components and internal SDKs for faster agent development.
  • Support A/B testing, telemetry integration, and performance analytics for deployed agents.


Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
  • 1–3 years of hands-on experience building AI applications, chatbots, or agentic systems.
  • Strong understanding of LLM architectures, embeddings, vector databases, and RAG frameworks.
  • Proficiency in Python and key AI/ML libraries (LangChain, LlamaIndex, OpenAI, Hugging Face).
  • Experience with API integration, orchestration (FastAPI/Flask), and database management (MongoDB/Postgres).
  • Familiarity with prompt engineering, system design for agents, and evaluation metrics.
  • Excellent problem-solving, debugging, and documentation skills.
  • Curiosity to explore emerging AI models, frameworks, and autonomous system designs.
  • Tooling Proficiency (Must/Strongly Preferred)
  • Frameworks: LangChain, LlamaIndex, OpenAI API, Hugging Face Transformers
  • Programming: Python, TypeScript (nice to have)
  • Databases: Pinecone, ChromaDB, FAISS, PostgreSQL
  • APIs & Deployment: FastAPI, Flask, Docker
  • Version Control: Git/GitHub
  • Evaluation & Monitoring: Weights & Biases, PromptLayer, LangFuse
  • Cloud & CI/CD: AWS, GCP, or Azure (preferred); GitHub Actions, Jenkins (nice to have)


Bonus Points

  • Experience in building educational or learning-focused AI systems.
  • Understanding of pedagogy, personalization models, and adaptive learning.
  • Familiarity with voice agents, speech-to-text, and emotion detection APIs.
  • Knowledge of graph-based memory or multi-agent frameworks.
  • Experience conducting AI safety, fairness, and reliability evaluations.


WhatWe Offer

  • Opportunity to shape the core AI systems of a fast-scaling EdTech company.
  • Collaborative, research-driven, and mission-focused environment.
  • Competitive compensation, ownership, and career growth opportunities.
  • Flexible work setup and a chance to impact millions of learners globally.

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