Senior Forward Deployed Engineer

Afresh

. Partner with Afresh's account lead and customer technical teams to scope and architect work, including data sources, architecture, and production path .

Posted 9/18/2026full-timeRemote • Alabama • United StatesSenior💰 $156,060 - $211,140 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building production-grade software and data systems, with a strong focus on AI/LLM integration, data engineering, and cloud data platforms. Capable of designing clean solutions for complex data challenges and collaborating effectively with customer teams.

Highest-signal resume keywords

Production-Grade Software DevelopmentAI/LLM IntegrationData EngineeringCloud Data PlatformsCustomer Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production-Grade CodeData Pipeline DevelopmentModeling Enterprise DataAI/LLM SystemsRetrieval/RAGData Quality EvaluationKnowledge GraphsOntologiesMLOpsModel Serving

Soft Skills

Problem SolvingCollaborationCommunication

Tools & Technologies

DatabricksBigQuerySnowflakeCloud PlatformsAgent Frameworks

Industry Keywords

Grocery DataRetail DataSupply Chain Data

Tech Stack

Tools & technologies

BigQueryCloud

About the role

Key responsibilities & impact

Partner with Afresh's account lead and customer technical teams to scope and architect work, including data sources, architecture, and production path
Embed with customer data and engineering teams remotely and on-site
Integrate into customer cloud and data platforms
Build production-grade pipelines and model messy enterprise data into trustworthy data products
Design and ship production-ready LLM- and agent-powered systems, including retrieval, agentic workflows, data-quality agents, and analytics agents
Harden field solutions into the shared platform, including knowledge graphs, ontologies, retrieval, agent frameworks, and serving infrastructure
Build evaluations, tracing, and tooling to measure accuracy, hallucination rate, latency, and cost
Create clean interfaces and reusable building blocks rather than one-off customer code
Feed field learnings into the platform and apply platform improvements to future customers

Requirements

What you’ll need

3+ years building production software and data systems, with strong, production-grade code
Ability to take ambiguous problems and messy data landscapes, design clean and workable solutions, and build them
AI/LLM depth, including real systems with LLMs and agents, retrieval/RAG, and tool-use
Experience evaluating AI/LLM quality
Data-engineering depth, including building and operating data pipelines and modeling messy enterprise data
Experience with a modern cloud data platform such as Databricks, BigQuery, Snowflake, or similar
Ability to work directly with customer engineers and data teams
Comfort traveling to customer sites regularly (~10-20%)
This position is not eligible for company sponsorship
Experience in grocery, retail, or supply chain data domains (nice to have)
Knowledge graphs, ontologies, semantic layers, graph/vector stores, hybrid search, MCP, agent frameworks, MLOps, model serving, and LLM observability (nice to have)
Prior forward-deployed, solutions, or implementation engineering, or early-stage startup experience (nice to have)

Benefits

Comp & perks

Meaningful early-stage equity
Comprehensive medical, dental, and vision coverage for you and your family, with the majority of premiums covered by Afresh
Dedicated mental health support and counseling services
401(k) program with a generous company match
Home office stipend
Coworking Wallets for flexible workspace access
Annual professional development budget
Monthly Betterment wellness/lifestyle stipend
Monthly telecommunications stipend
Flexible paid time off