Location: Location: DGS – India (overlap hours with US Eastern Time required)

Required Qualifications

12–16 years of professional software engineering experience with deep Python expertise

Demonstrated experience leading or managing a team of engineers — code review, mentoring, growth planning — not just individual contribution

Strong experience designing and building production APIs in Python (FastAPI, Flask, or similar) and full-stack applications including React + Tailwind CSS front ends

Strong relational database experience — schema design, normalization, query performance — Postgres preferred

Strong practical proficiency with Claude Code or similar AI-assisted development tools, including agentic coding patterns and context management — and the ability to establish team standards for effective use

Experience integrating LLM APIs (Claude, OpenAI, or equivalent) into production systems — system prompt design, structured output parsing, multimodal input handling

Practical experience with tool-use/function-calling patterns — defining tool schemas, validating arguments, handling tool results, chaining tool calls, and managing basic failure/retry behavior

Strong context engineering fundamentals — context window management, token budgeting, long-document handling strategies, and retrieval/context-selection patterns

Awareness of prompt injection, adversarial inputs, and untrusted-document risks in AI systems; ability to design guardrails for external briefs, trafficking sheets, platform exports, and other model-readable inputs

Experience integrating third-party platform APIs with OAuth (any domain) — general competency, not platform-specific

Working knowledge of secrets management and credential security practices in production systems, ideally including Azure Key Vault or equivalent managed secrets tooling

Solid grasp of QA practices, data quality engineering, and AI evaluation: unit and integration testing, data validation, golden datasets, regression evals,



structured-output checks, and observability

Practical understanding of human-in-the-loop AI systems — adjudication workflows, labeled examples, accuracy measurement by parameter/category, feedback loops, and quality gates

Experience with cloud infrastructure (Azure preferred) and modern deployment patterns: containers, CI/CD, managed identities, object storage, and background job/workflow execution

Experience implementing background-processing or workflow patterns — queues, scheduled jobs, retries, idempotency, status tracking, and operational monitoring

Strong written and verbal communication for collaboration across distributed onshore (US) and offshore (India) teams

Preferred Qualifications

Exposure to LLM application and workflow frameworks beyond raw API calls: LangChain, LangGraph, CrewAI, Temporal, Azure Durable Functions, Celery/RQ, or equivalent agent/workflow tooling — practical as the portfolio expands into durable, multi-step automation in later phases

Exposure to model selection and cost optimization strategies — prompt caching, batching, tiered model selection by task complexity, latency/cost tradeoff analysis, and usage forecasting

Background in media, advertising, or marketing technology data environments

Exposure to data governance tooling such as Unity Catalog, attribute-based access control, or tag-driven policies

Exposure to MCP servers or MCP-based developer workflows, with interest in when MCP is preferable to direct APIs for reusable tools, resources, prompts, and agent context

Exposure to data flywheel concepts — labeled corpora, adjudication data models, feedback capture, quality dashboards, and mechanisms that improve future AI behavior and inform phase-gate decisions

Exposure to DV360 SDF (Structured Data Files), TTD API, or comparable adtech platform data formats/APIs

Open-source contributions or public projects demonstrating full-stack or AI engineering work

Location

DGS India - Bengaluru - Manyata N1 Block

Brand

Merkle

Time Type

Full time

Contract Type

Permanent

📌 Engineering Lead (AI & Automation Products) (Bengaluru)
🏢 dentsu
📍 Bengaluru