Senior AI Engineer

We are looking for a

GenAI Engineer / Architect

to design and implement AI-driven systems across sports, news, and advertising platforms. This role focuses on building

production-grade agentic systems and LLM-powered applications

that generate insights, automate workflows, and power intelligent media products.

You will work closely with Databricks and Qubika teams to develop

real-time AI systems, multimodal content intelligence, and autonomous decision agents

that operate on large-scale media and advertising datasets.

Key Responsibilities

1. Agentic Systems Development

2. Design and implement

   multi-agent architectures

   (supervisor + sub-agents) to automate workflows across media and advertising platforms.

3. Build

   stateful agent orchestration

   using frameworks such as LangGraph or equivalent.

4. Implement

   tool-calling agents

   that interact with data pipelines, APIs, and operational systems.

• Design

  human-in-the-loop workflows

  with escalation and approval mechanisms.

1. LLM Application Development

• Develop

  LLM-powered services

  for:

• narrative insight generation

• metadata generation

• content summarization

• conversational interfaces

• Optimize prompts and context management for

  low-latency production workloads

  .

• Implement strategies to

  minimize LLM calls

  and control cost and latency.

7.Media Intelligence & Data Integration

• Build AI services that analyze

  sports events, video content, and audience data

  to generate insights and automation capabilities.

• Integrate LLM systems with:

• structured data pipelines

• vector search systems

• knowledge bases

• event-driven workflows.

8.AI Platform Integration (Databricks Stack)

• Develop applications using:

Mosaic AI Agent Framework

Vector Search

Lakehouse / Lakebase

MLflow Tracing for observability

• Build

  AI-enabled APIs and services

  to power downstream applications such as dashboards, editorial tools, and operational systems.

1-Performance & Productionization:

• Design AI systems that meet

  strict latency requirements

  for real-time media workflows.

• Implement:

-error handling

-retries

-fallback strategies

-observability and tracing

• Collaborate with data engineers to ensure scalable and reliable AI pipelines.

Required Skills

Core:

-Strong Python programming

-Production experience with

LLM systems and agent frameworks

-Experience building

AI services and APIs

-Prompt engineering and context orchestration

• Understanding of

  vector search and retrieval-augmented generation

Databricks Ecosystem (needs hands-on dbks experience)

• Mosaic AI

• Databricks Agent Framework

• Databricks Model Serving

• MLflow (especially tracing)

• Lakehouse / Delta / Lakebase

• DAB

Experience With

• Agentic architectures (supervisor / sub-agent patterns)

• Tool calling and workflow orchestration

• Retrieval augmented generation (RAG)

• AI application design for production environments

• Integration with external APIs and operational systems

Nice to Have

Experience working with

media, sports, or advertising platforms

Exposure to

multimodal AI systems

(video, text, audio)

• Experience building

  real-time analytics or insights platforms