AI Engineer in Bangalore driving innovation in Generative AI with expertise in RAG pipelines and Frontier Models.
About the role
- AI Engineer focused on building and maintaining multi-agent AI systems for media trading decisions. Requires expertise in Python, SQL, and media platform APIs.
Responsibilities
- Build, iterate, and maintain AI agents within the architecture and boundaries defined by the Lead AI Engineer.
- Integrate data components across media platforms — ingesting, normalizing to schema, and routing to the correct agent context.
- Run prompt benchmarking, track output quality across model versions, and flag hallucination patterns or quality regressions proactively.
- Build and maintain ETL/ELT pipelines supporting daily automated callouts and weekly optimisation reporting.
- Operate within and extend the MCP connector library for external platform APIs.
- Build and maintain Slack-based approval flows — agent callouts, feedback capture, exception alerts, and operational notifications.
- Own the reliability of your agents in production; monitor output quality and respond to incidents.
Requirements
- 4+ years across software, data engineering, ML, or AI platform work with direct ownership of production systems
- Experience with media platform APIs (Google Ads, Meta, DV360, Semrush, SerpAPI)
- Strong Python and SQL — production-grade, not just analytical scripts
- MCP or equivalent integration layer experience
- Hands-on experience building or operating LLM applications, agentic systems, or tool-calling workflows
- Workflow orchestration tooling: Airflow, Dagster, Prefect, dbt
- ETL/ELT pipeline design and data reliability in production — schema management, contract enforcement, freshness monitoring
- Cloud infrastructure: AWS, GCP, or Azure; containerized deployments (Docker)
- Experience defining evaluation frameworks and success criteria for model outputs
- Slack API and webhook-based workflow automation
- Familiarity with vector databases and RAG patterns for long-context data retrieval
- Experience shipping systems that mix model logic, deterministic business rules, and human approval flows
- LLM evaluation tooling — token cost tracking, hallucination detection, model benchmarking
Benefits
- Health and dental insurance (after trial period)
- 28 calendar PTO days
- Flexible sick days policy backed by full 100% short-time disability coverage
- English language tuition covered for specific positions
- Compensation of sports facilities (after trial period)
- Mental health reimbursement (after trial period)
- Generous employee referral bonuses
- Hybrid Working Model: Tuesdays, Wednesdays, Thursdays in office with the option to work from home on Mondays and Fridays
Job title
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