Lead Engineer - AI

Company Description

SilverPush is an advertising technology firm providing AI-Powered contextual solutions. It helps brands and agencies target relevant audiences in the cookieless world without meddling with their privacy. We have clients who we have worked with such as Ford, Nestle, Coca-Cola, Samsung, etc.

Silverpush operates in 20+ countries across Southeast Asia, the Middle East, Africa, the USA, the UK, and India. The company has won 7+ global awards, worked with Fortune 500 brands, and has completed 4000+ campaigns. Silverpush is rapidly growing!

Role Description

This is a full-time on-site role located in Gurgaon for Lead Engineer - AI. The role involves leading the design and development of AI-powered solutions, implementing machine learning algorithms, and managing projects from prototype to deployment. Responsibilities include collaborating with cross-functional teams, staying updated on the latest advancements in AI, ensuring scalable and efficient code, and solving complex technical challenges to enhance the companys advertising solutions.

Job Title: Lead AI Engineer / AI Systems Architect

Location: Gurugram

Experience: 5+ years

About the Role

We are looking for an experiencedLeadAI Engineerwho 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.

You 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 implementLLM-powered systems, including prompt orchestration, function calling, and context management.
• Design and maintainmodular AI pipelinesintegrating retrieval, reasoning, and response generation layers.
• Work onAI toolchains and frameworkssuch as LangChain, LangGraph, and Model Context Protocol (MCP) for model orchestration and agent workflows.
• Develop scalablebackend APIsand microservices to expose AI capabilities.
• Integratevector databases, embedding models, and retrieval-augmented generation (RAG) pipelines.
• Evaluate, fine-tune, and deploy open-source or proprietary models (text, image, or multimodal).
• Ensureperformance 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 withLLMs(OpenAI GPT, Anthropic Claude, Llama, Mistral, Gemini, etc.)
• Strong understanding ofprompt engineering,function calling, andcontext management
• Experience withLangChain,LangGraph, andMCP (Model Context Protocol)for building complex AI workflows
• Solid grasp ofRAG architecture,vector databases(Elastic Search, Pinecone, Weaviate, Chroma), andembedding models
• Familiarity withfine-tuningandmodel serving(using Hugging Face, vLLM, Ollama, etc.)

Engineering & Architecture:

• Strong proficiency inPython(FastAPI preferred)
• Deep experience inmicroservices,event-driven systems, andasync processing
• Cloud and deployment knowledge (AWS, GCP, Azure, or serverless environments)
• Databases: MongoDB / PostgreSQL / Redis
• Strong understanding ofAPI design,security, andscalability

Optimization & Observability:

• Experience inlatency reduction,load balancing, andcaching strategies
• Token usage optimization and cost control for LLM-based applications
• Monitoring, logging, and tracing (New Relic, ELK)

Additional Plus:

• Experience designing AI workflows or agent-based systems (preferred)
• Strong understanding of model evaluation, experimentation, and MLOps practices (experience with tools such as MLflow, Kubeflow, Weights & Biases or similar is a plus)
• Understanding of multimodal AI (image, speech, video, or sensor data)
• Real-time streaming systems
• Security and AI safety guardrails

What Youll 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 builders mindset curious, hands-on, and driven to create impact through intelligent systems

Why Join Us

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