Artificial Intelligence Engineer

5 years

0 Lacs

Posted:20 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Senior AI Engineer


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Company Overview

The company is a global ad-tech innovator transforming how brands connect with audiences in a privacy-first world. Powered by advanced AI agents, contextual intelligence, and scalable automation, it delivers smarter and more meaningful advertising experiences without relying on personal data. With a mission to make marketing more adaptive, intelligent, and human-centric, the organization partners with leading brands across diverse markets. The organization combines cutting-edge technology, applied research, and data-driven execution to shape the future of intelligent advertising.


Role Overview

The organization is looking for an experienced AI Engineer who can architect, build, and deploy scalable AI-driven systems across a variety of use cases — from generative AI applications to intelligent automation and recommendation systems. The AI Engineer will be responsible for designing and optimizing end-to-end AI pipelines that combine large language models (LLMs), retrieval systems, and custom logic to deliver robust and efficient AI solutions.


Key Responsibilities

  • Architect and implement LLM-powered systems, including prompt orchestration, function calling, and context management.
  • Design and maintain modular AI pipelines integrating retrieval, reasoning, and response generation layers.
  • Work on AI toolchains and frameworks such as LangChain, LangGraph, and Model Context Protocol (MCP) for model orchestration and agent workflows.
  • Develop scalable backend APIs and microservices to expose AI capabilities.
  • Integrate vector databases, embedding models, and retrieval-augmented generation (RAG) pipelines.
  • Evaluate, fine-tune, and deploy open-source or proprietary models (text, image, or multimodal).
  • Ensure performance optimization, including latency reduction, caching, token management, and cost optimization.
  • Collaborate with data, backend, and frontend teams to embed AI features across multiple products.
  • Build internal tools and frameworks to accelerate experimentation and model deployment.
  • Stay current with emerging AI technologies, frameworks, and research to guide product direction.


Essential Skills & Technologies

Core AI & ML

  • Expertise in working with LLMs (OpenAI GPT, Deepseek, Anthropic Claude, Llama, Mistral, Gemini, etc.)
  • Strong understanding of prompt engineering, function calling, and context management
  • Experience with LangChain, LangGraph, and MCP (Model Context Protocol) for building complex AI workflows
  • Solid grasp of RAG architecture, vector databases (Pinecone, Weaviate, FAISS, Chroma), and embedding models
  • Familiarity with fine-tuning and model serving (using Hugging Face, vLLM, Ollama, etc.)

Engineering & Architecture

  • Strong proficiency in Python (FastAPI preferred) and Node.js
  • Deep experience in microservices, event-driven systems, and async processing
  • Cloud and deployment knowledge (AWS, GCP, Azure, or serverless environments)
  • Databases: MongoDB / PostgreSQL / Redis
  • Strong understanding of API design, security, and scalability

Optimization & Observability

  • Experience in latency reduction, load balancing, and caching strategies
  • Token usage optimization and cost control for LLM-based applications
  • Monitoring, logging, and tracing (Prometheus, Grafana, ELK, OpenTelemetry)


Additional Plus

  • Experience with LangServe, Haystack, LlamaIndex, or Autogen frameworks
  • Exposure to multi-agent systems or AI workflow orchestration
  • Knowledge of ML model evaluation, A/B testing, and MLOps tools (MLflow, Kubeflow, Weights & Biases)
  • Understanding of multimodal AI (image, speech, video, or sensor data)
  • Frontend familiarity (React / TypeScript) for embedding AI experiences


What You’ll Bring

  • 5+ years of experience in AI/ML system design, development, and deployment
  • Strong background in NLP, generative AI, or applied machine learning
  • Ability to balance innovation with performance and scalability
  • Solid understanding of modern software engineering best practices
  • A builder’s mindset — curious, hands-on, and driven to create impact through intelligent systems


The Opportunity

  • Work across a diverse portfolio of AI initiatives, from chatbots to multimodal systems
  • Collaborate with a team pushing the boundaries of AI-first product development
  • Shape the future of how humans interact with intelligent systems
  • Flexible, fast-paced, innovation-driven environment

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