AdTechTalent
Engineering1 month agoOn-site

Merkle

Agentic AI Lead Engineer

pythonaimlllmlangchainlanggraphautogenazurecontainer orchestrationserverlessmlopsdistributed systemsapidatabricksunity cataloggenieragvector databasessemantic searchsoftware engineeringmentoring

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Mumbai, India

Full job description

Seeking a senior software engineer with 7+ years experience, including 2+ years in AI/ML engineering. Must have deep expertise in Python, production-grade software architecture, and hands-on experience building and deploying LLM-powered applications at scale. Strong knowledge of agent orchestration patterns such as LangChain, LangGraph, AutoGen, or custom frameworks is required. Experience with Azure cloud infrastructure, container orchestration, and serverless patterns is preferred. Candidate should have experience mentoring engineers, raising team standards, and strong system design skills in distributed systems and API architecture. Excellent written communication skills for technical documentation and cross-timezone collaboration are essential. Preferred qualifications include experience with Databricks, Unity Catalog, Genie, media technology, adtech or marketing analytics platforms, RAG architectures, vector databases, semantic search, open-source AI/ML contributions, and leading technical teams in a DGS/offshore delivery model.

What you'll do

  • Build and deploy LLM-powered applications at scale
  • Mentor engineers and raise team engineering standards
  • Design systems with distributed systems and API architecture
  • Collaborate across timezones with excellent written communication
  • Lead technical teams in a DGS/offshore delivery model (preferred)

Requirements

  • 7+ years of software engineering experience
  • At least 2 years in AI/ML engineering
  • Deep expertise in Python and production-grade software architecture
  • Hands-on experience building and deploying LLM-powered applications at scale
  • Strong knowledge of agent orchestration patterns (LangChain, LangGraph, AutoGen, or custom frameworks)
  • Experience with cloud infrastructure (Azure preferred) including container orchestration and serverless patterns
  • Track record of mentoring engineers and raising team engineering standards
  • Experience with MLOps: model serving, monitoring, versioning, and cost management
  • Strong system design skills with experience in distributed systems and API architecture
  • Excellent written communication for technical documentation and cross-timezone collaboration

Tech stack

PythonAI/MLLLM-powered applicationsLangChainLangGraphAutoGenAzurecontainer orchestrationserverless patternsMLOpsmodel servingmodel monitoringmodel versioningcost managementdistributed systemsAPI architectureDatabricksUnity CatalogGenieRAG architecturesvector databasessemantic search

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