AdTechTalent
Engineering4 days agoOn-site

Merkle

AI Lead Engineer

AIGenAImachine learningLLMsdata pipelinesscalable systemstechnical leadership

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Mumbai, India

Full job description

Senior Applied AI / GenAI Specialist responsible for designing and delivering scalable AI and GenAI systems combining ML models, LLMs, retrieval, orchestration, and data pipelines. Lead solution design for complex problems with evolving requirements. Make architectural trade-offs regarding model selection, retrieval strategies, cost, latency, and scalability. Drive solutions from proof-of-concept to production-grade systems used across multiple teams. Act as a technical anchor for high-impact AI initiatives, guiding implementation without formal people management. Ensure robustness, observability, and optimization of AI systems in real-world environments. Location preferred Bangalore. Experience required: 5-8 years.

What you'll do

  • Design and deliver scalable AI and GenAI systems
  • Lead solution design for complex, ambiguous problems
  • Make architectural trade-offs
  • Drive solutions from proof-of-concept to production-grade systems
  • Act as a technical anchor for AI initiatives
  • Ensure robustness, observability, and optimization of AI systems

Requirements

  • Design and deliver scalable AI and GenAI systems combining ML models, LLMs, retrieval, orchestration, and data pipelines
  • Lead solution design for complex, ambiguous problems where requirements and success criteria evolve
  • Make architectural trade-offs across model selection, retrieval strategies, cost, latency, and scalability
  • Drive solutions from proof-of-concept to production-grade systems used across multiple teams
  • Act as a technical anchor for high-impact AI initiatives, guiding implementation without formal people management
  • Ensure robustness, observability, and optimization of AI systems in real-world environments

Tech stack

AIGenAIML modelsLLMsretrievalorchestrationdata pipelines

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