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.:

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 workplace 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:

BengaluruBrand:

MerkleTime Type:

Full timeContract Type:

Permanent

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