Forward Deployed Engineer, AI

🕒 May 19

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NextLink Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2014

🤝 B2B

🏢 Enterprise

🔒 Cybersecurity

B2B • Enterprise • Cybersecurity

NextLink Labs is a technology consulting and engineering firm that helps companies modernize, scale, and secure their software applications through cloud-native architecture, DevOps/DevSecOps practices, and custom software development. They offer cloud and Kubernetes implementations, GitLab and CI/CD integration, cybersecurity assessments and remediation, and bespoke training to accelerate digital transformation. NextLink Labs focuses on delivering enterprise-grade, scalable solutions and ongoing operational support for business clients.

📋 Description

• Partner directly with clients to translate ambiguous business problems into production AI systems • Build the data infrastructure that underpins AI applications • Develop RAG and agentic workflows on top of modern LLMs • Write the evaluation suites and guardrails that keep those systems safe and performant • Integrate the whole system into clients' existing software environments • Contribute to NextLink's internal accelerators and reference implementations

🎯 Requirements

• 3–5 years of professional software engineering experience, with at least 1 year shipping AI/ML or LLM-based features to production • Strong Python skills; comfort with at least one of TypeScript/JavaScript, Go, or Java for integration work • Hands-on experience building applications with modern LLM APIs (Anthropic, OpenAI, Azure OpenAI, AWS Bedrock, etc.) • Background with data engineering tooling such as dbt, Airflow, Dagster, Snowflake, BigQuery, or Databricks • Working knowledge of RAG patterns, embedding models, and at least one vector store (pgvector, Pinecone, Weaviate, OpenSearch, etc.) • Solid grasp of one major cloud platform (AWS, Azure, or GCP), including how to deploy containerized services and manage secrets/IAM • Experience writing tests, instrumenting code, and reasoning about observability, including for non-deterministic systems • Strong written and verbal English; comfortable presenting technical work to client engineering teams and non-technical stakeholders • Customer-facing instincts: you ask good questions, manage ambiguity well, and don't disappear when a problem gets messy

🏖️ Benefits

• Remote-first work environment • Investment in your growth, including access to LLM playgrounds, an internal AI guild, and senior architects to learn from • Opportunity to build something big and exciting at the frontier of applied AI