EMW Staffing Solutions LLC
Staff Software Engineer
EMW Staffing Solutions LLC, San Francisco, California, United States, 94199
Overview
Role Overview: As a Staff Engineer, you will lead the design and implementation of our context and orchestration layer, transforming messy GTM data into actionable outcomes with tightly-looped production system shipping. Responsibilities
As a staff IC you will lead design and implementation of the context and orchestration layer, ship production systems in tight loops, and set engineering standards for reliability, latency, and cost. You will partner daily with Product and GTM to turn messy GTM data into shipped outcomes. Create the collective memory: ingest and unify multi-source data into a multi-level context graph with strong tenant isolation. Orchestrate agentic systems: design planner/executor patterns, tools, and policies (including MCP-style interfaces) that turn context into content and then into actions; define simple eval harnesses. Deliver where users work: expose capabilities through native surfaces (apps, chat, integrations) to reduce context switches and meta-work. Prove outcomes: define success metrics (tasks auto-completed, adoption/retention, pipeline lift) and wire observability so we can ship → learn → iterate quickly while meeting latency targets. Balance cost and reliability: tune accuracy, latency, and run cost for retrieval and agents; implement fallbacks and safeguards for real-world load. Raise the bar: write RFCs, lead design reviews, mentor peers, and improve code quality, SLOs, and on-call practices. Qualifications
We are looking for an owner-builder who can take ambiguous problems to production, make clear trade-offs, and mentor others while staying hands-on. 4+ years building and owning backend or platform systems end-to-end with measurable business impact. Strong Python; able to stand up cloud infrastructure and production services on AWS. Experience stitching messy, multi-source data into models a product can reason over; strong privacy, reliability, and multi-tenant instincts. Comfortable deciding with ~70% information, instrumenting what matters, and iterating. Nice to have: exposure to agent orchestration/planning, retrieval or graph-shaped context, eval frameworks, and distributed systems at scale. Ideal Candidate
Has had experience at an early-stage, high-growth startup or has founded/built their own project. Staff-level IC from an AI/data/infra or GTM tooling company who has owned a platform surface from 0→1 and through reliability hardening Strong Python + AWS; comfortable with Postgres or DynamoDB, FastAPI/GraphQL, Kubernetes, Pulumi, event-driven design Experience with agent orchestration, retrieval, or graph-shaped context; adds evals and observability to ship quickly and safely Excellent instincts for multi-tenant isolation, privacy, reliability, and cost control Communicates trade-offs clearly; collaborates well with Product and GTM Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries: Software Development and Technology, Information and Media Location: NYC, Hybrid Term: Full Time Base pay range: $100.00/yr - $200.00/yr Vertical: Start up Role: Staff Engineer
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Role Overview: As a Staff Engineer, you will lead the design and implementation of our context and orchestration layer, transforming messy GTM data into actionable outcomes with tightly-looped production system shipping. Responsibilities
As a staff IC you will lead design and implementation of the context and orchestration layer, ship production systems in tight loops, and set engineering standards for reliability, latency, and cost. You will partner daily with Product and GTM to turn messy GTM data into shipped outcomes. Create the collective memory: ingest and unify multi-source data into a multi-level context graph with strong tenant isolation. Orchestrate agentic systems: design planner/executor patterns, tools, and policies (including MCP-style interfaces) that turn context into content and then into actions; define simple eval harnesses. Deliver where users work: expose capabilities through native surfaces (apps, chat, integrations) to reduce context switches and meta-work. Prove outcomes: define success metrics (tasks auto-completed, adoption/retention, pipeline lift) and wire observability so we can ship → learn → iterate quickly while meeting latency targets. Balance cost and reliability: tune accuracy, latency, and run cost for retrieval and agents; implement fallbacks and safeguards for real-world load. Raise the bar: write RFCs, lead design reviews, mentor peers, and improve code quality, SLOs, and on-call practices. Qualifications
We are looking for an owner-builder who can take ambiguous problems to production, make clear trade-offs, and mentor others while staying hands-on. 4+ years building and owning backend or platform systems end-to-end with measurable business impact. Strong Python; able to stand up cloud infrastructure and production services on AWS. Experience stitching messy, multi-source data into models a product can reason over; strong privacy, reliability, and multi-tenant instincts. Comfortable deciding with ~70% information, instrumenting what matters, and iterating. Nice to have: exposure to agent orchestration/planning, retrieval or graph-shaped context, eval frameworks, and distributed systems at scale. Ideal Candidate
Has had experience at an early-stage, high-growth startup or has founded/built their own project. Staff-level IC from an AI/data/infra or GTM tooling company who has owned a platform surface from 0→1 and through reliability hardening Strong Python + AWS; comfortable with Postgres or DynamoDB, FastAPI/GraphQL, Kubernetes, Pulumi, event-driven design Experience with agent orchestration, retrieval, or graph-shaped context; adds evals and observability to ship quickly and safely Excellent instincts for multi-tenant isolation, privacy, reliability, and cost control Communicates trade-offs clearly; collaborates well with Product and GTM Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries: Software Development and Technology, Information and Media Location: NYC, Hybrid Term: Full Time Base pay range: $100.00/yr - $200.00/yr Vertical: Start up Role: Staff Engineer
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