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AI Engineer II

American Express
Gurugram, IND
Full-time
Junior · 2–5 years experience
Hybrid
Discovered Today
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Qualifications

  • Bachelor's degree in computer science, Engineering, or a related field, or equivalent practical experience.
  • 2-5 years of software engineering or applied AI/ML experience, including hands-on work building and shipping GenAI or AI-powered solutions.
  • Coding & Algorithms: Strong programming skills in Python with solid command of data structures, algorithms, and the ability to write clean, correct, efficient code.
  • Machine Learning Domain: Working knowledge of ML and GenAI fundamentals - model architectures (e.g., Transformers), LLMs, embeddings, prompt engineering, RAG, and core evaluation metrics (precision/recall).
  • AI/ML System Design: Ability to design AI solution components and feature-level pipelines (e.g., a RAG pipeline for a document QA use case), making sound, practical design choices.
  • Behavioral / Collaboration: Comfort handling ambiguity, collaborating cross-functionally, and communicating clearly in a team setting.
  • Strong SQL skills for querying and manipulating enterprise datasets.
  • Hands-on experience with GenAI platforms such as Azure OpenAI, OpenAI/ChatGPT, Microsoft Copilot, Gemini, or Claude.
  • Experience working with APIs and integrating third-party services.
  • Analytical and problem-solving skills with strong attention to detail and the ability to convert business requirements into logical workflows.
  • Familiarity with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes).
  • Experience with vector databases and embeddings (e.g., FAISS, Pinecone, pgvector).
  • Experience with agentic frameworks and orchestration tools (e.g., LangChain, LangGraph, Semantic Kernel, AutoGen).
  • Exposure to MLOps/LLMOps practices - CI/CD, monitoring, and evaluation frameworks for AI systems.
  • Experience with dashboarding/BI tools such as Power BI or Tableau.
  • Awareness of model optimization concepts such as quantization (e.g., INT8/FP8).
  • Knowledge of another object-oriented language (e.g., Java, C++, or Go).
  • Experience building AI solutions in a regulated industry (e.g., fintech, healthcare).

Responsibilities

  • Develop AI-powered solutions integrating GenAI capabilities - prompts, AI agents, copilots, and RAG pipelines to improve operational productivity and automate manual processes.
  • Identify and implement opportunities to automate workflows using Python, SQL, GenAI, and workflow automation tools.
  • Write clean, maintainable, production-quality code and participate in code reviews and testing.
  • Test and evaluate AI outputs for accuracy, relevance, and reliability using appropriate evaluation techniques.
  • Stay current with emerging AI technologies and tools, and share recommendations with the team.
  • Follow responsible AI practices, data privacy, security, and governance across all GenAI solutions.
  • Collaborate within an agile team and support the deployment and ongoing maintenance of solutions in production.

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