The purpose of this role is to lead, develop and improve teams of software engineers with various skills, so that a high-quality end product is delivered. To provide technical guidance, to support analysis and design in order to deliver products aligned to the customer's requirements and company standards.

Job Description:

Job Description

Technical Architecture & Delivery

Lead architecture decisions across the portfolio — schema design, API contracts, integration patterns, workflow orchestration, and when to integrate via direct API versus MCP (Model Context Protocol), weighing latency, control, security, auditability, and reusability tradeoffs
Hold delivery accountability — scope, timeline, quality — across all active workstreams, in partnership with the Director who owns product requirements and prioritization
Design and own the Postgres data schema underpinning the product (multi-table: pipeline data, access control, cost attribution, audit) — correctness and extensibility here is foundational, not incidental
Build and own the Claude/API integration layer: system prompt design and testing, multimodal document ingestion for XLSX, DOCX, PPTX, and PDF via reliable extraction/conversion pipelines, structured output parsing, schema validation, and fallback handling
Design practical automation workflows — background jobs, queues, retries, idempotency, human review points, run state, and replayable audit history for multi-step AI-assisted processes
Build and own third-party DSP API integrations (e.g. DV360, TTD) — OAuth flows, structured data file formats, read/write scoping by phase
Design and own secrets and credential management — API keys, OAuth credentials, Azure Key Vault or equivalent secrets manager; nothing in code or environment variables in source control
Design and own multi-tenant access control — role-based permissions, client-scoped data visibility, self-service onboarding
Design cost and usage attribution patterns — external API calls tagged and logged at the client and run level, feeding finance and program-level reporting as the portfolio scales
Review technical output against product requirements — flag when implementation doesn't match the requirement or the architecture is wrong for the problem

Team Leadership

Manage a team of junior and mid-level developers based in India — hiring input, onboarding, performance, growth planning
Run code reviews, pairing, and technical mentoring as a standing practice, not an occasional one
Set and enforce engineering standards: testing discipline, data validation, AI evaluation discipline, observability, and code quality bar
Standardize how the team uses Claude Code — establish shared conventions, prompt/context patterns, and reusable practices so the whole team improves its delivery quality, not just you
Run sprint-level technical planning and unblock the team day to day; escalate cross-team blockers to the Director rather than letting them stall delivery

Build Execution

Build full-stack applications end to end where needed: Python APIs (FastAPI or similar) and React/Tailwind front ends
Use Claude Code as a daily driver — both for personal output and as the standard tool your team is held to
Write tests, build data validation frameworks, and instrument observability across the pipeline, including prompt/model traces, structured-output validation, latency, cost, and failure analytics
Build and maintain practical evaluation harnesses for AI behavior — golden test sets, prompt/model versioning, regression checks, failure taxonomies, and release gates for higher-risk automations
Contribute to reusable component libraries and shared platform services that scale across clients and future portfolio products

Location:

Bengaluru

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Engineering Lead (AI & Automation Products)