Blend360
data, AI, and marketing consulting
LeadFullStackEngineer
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“Lead Full Stack Engineer at Blend360. Skills: Full Stack Architecture, LLM Systems, Engineering Governance, Technical Leadership. Own architecture and delivery across multiple workstreams for Intelligent Applications. Define "how we build" for forward deployed engagements—templates, standards, quality gates”
What You'll Achieve.
Establishes/strengthens standards and reusable assets that improve delivery velocity; Leads a multi-stream delivery track with quality and stakeholder trust; Reduces recurring issues via systemic fixes (tests, observability, templates)
Industry & Context.
turn complex challenges into competitive advantage; unlock transformational value through data, technology, and human expertise
What They're Looking For.
Must Have
8+ years equivalent experience or demonstrated staff-level impact, Demonstrated multi-team or multi-stream technical leadership, full-stack architecture depth (React/Angular + Python services), SQL performance leadership, best-practices governance mindset (systemic standards, not preferences), Demonstrated leadership shipping production LLM systems (RAG, tool use, evaluations), engineering governance around AI-assisted development (verification, secrets/PII, supply chain)
Nice to Have
Experience operating in high-trust client environments and leading transformations, Experience establishing agentic engineering guardrails and templates across teams, Lakehouse/warehouse depth with Databricks and/or Snowflake (secure patterns, performance, operational integration with apps/APIs)
What You'll Do.
Own architecture and delivery across multiple workstreams for Intelligent Applications
Define "how we build" for forward deployed engagements—templates
Mentor and guide multiple engineers
Bring observability/security to the forefront
Operationalize LLM/agent delivery into repeatable
Lead multiple streams (UI/API/data) with clear sequencing
and integration plans
Define reference architectures and standards
Drive performance and data architecture decisions
Create reusable accelerators
Partner with data teams
Operationalize CI/CD and containerization standards
Coach senior + mid-level engineers
Partner with leadership and clients to quantify impact and adoption
How You'll Work.
Team & Collaboration
Mentor and guide multiple engineers; Coach senior + mid-level engineers; Partner with data teams; Partner with leadership and clients
Communication Scope
Partner with leadership and clients to quantify impact and adoption
Process & Methodology
Lead multiple streams (UI/API/data) with clear sequencing, risks, and integration plans
Full Job Description
Blend360 is a premier data, AI, and marketing consulting firm that partners with the world's most ambitious organizations to turn complex challenges into competitive advantage. We sit at the intersection of deep analytical rigor and pragmatic business execution—helping Fortune 1000 companies and Private Equity-backed businesses unlock transformational value through data, technology, and human expertise. Role summary Own architecture and delivery across multiple workstreams for Intelligent Applications. You’ll define “how we build” for forward deployed engagements—templates, standards, quality gates—and you’ll mentor and guide multiple engineers. You’ll bring observability/security to the forefront and operationalize LLM/agent delivery into repeatable, safe workflows (evals, guardrails, monitoring, human-in-the-loop where needed). Responsibilities * Lead multiple streams (UI/API/data) with clear sequencing, risks, and integration plans. * Define reference architectures and standards: SOLID/MVC boundaries, error handling, testing, observability, security. * Drive performance and data architecture decisions: SQL/query patterns, indexing strategy, data contracts. * Create reusable accelerators: scaffolds, templates, spec/context packages, PR checklists, CI quality gates—including LLM/RAG reference modules and evaluation scaffolding. * Partner with data teams when engagements lean on Databricks or Snowflake for analytics/ML adjacency (contracts, identity, performance patterns). * Operationalize CI/CD and containerization standards: pipeline guardrails, environment parity, container-first dev workflows, and release verification patterns. * Coach senior + mid-level engineers; improve team throughput and quality. * Partner with leadership and clients to quantify impact and adoption. ## Qualifications Required qualifications * 8+ years equivalent experience or demonstrated staff-level impact. * Demonstrated multi-team or multi-stream technical leadership. * Strong full-stack
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