Artificial Intelligence Engineer

Senior AI Engineer

Location:

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