Senior AI Engineer

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🕒 June 24

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NetCraftsmen, now BlueAlly

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

BlueAlly, formerly known as NetCraftsmen, is an IT services and consulting company focused on making technology more accessible and impactful for organizations. Acquired by BlueAlly in March 2022, the company offers a comprehensive range of managed IT services and professional consulting services. Its specializations include virtualization, data center management, cybersecurity, cloud solutions, collaboration, and strategic IT planning. BlueAlly aims to simplify advanced technology for businesses, empowering them to seize opportunities while navigating the complexities of the digital age.

📋 Description

• Design, build, and operate enterprise AI systems across our client portfolio. • Work end-to-end across the AI stack — from inference engines and platform infrastructure up through application-level engineering. • Lead workstreams independently and mentor more junior engineers. • Engage directly with client architects, data scientists, application teams, and executives.

🎯 Requirements

• 7+ years of software, data, or infrastructure engineering, with 3+ years specifically working with modern AI / LLM systems. • Production-quality Python at engineering level — testing, code review, version control fluency, and shipping code that other engineers depend on. • Deep production Linux experience, including system internals, performance tuning, and troubleshooting. • Deep proficiency with Docker — image build, registry management, runtime tuning, and container security. • Strong server-platform skills including CPU/GPU topologies, PCIe, BMC management, BIOS/firmware lifecycle, and physical-to-logical troubleshooting. • Hands-on experience deploying and operating one or more of HPE PCAI, Dell AI Factory, or Nutanix Enterprise AI. • Production experience deploying, tuning, and operating vLLM. • Working knowledge of multiple inference and model-serving frameworks beyond vLLM, with the ability to choose and tune the right tool for each workload. • Hands-on experience with high-throughput, low-latency storage and network fabrics for AI workloads — including RDMA-class interconnects, parallel/object storage tiers, KV cache management, and Dynamo-style disaggregated serving. • Practical experience operating MLOps tooling and patterns — model registries, deployment pipelines, GitOps, lineage, and rollback. • Hands-on experience deploying, tuning, and integrating vector databases and RAG pipelines, including the application-level engineering that sits on top of them. • Production experience designing system prompts, structured output, function calling, and tool-using LLM patterns. • Demonstrated experience designing LLM evaluation harnesses — golden sets, regression suites, and quality/cost metrics. • Demonstrated ability to engage directly with client stakeholders — running working sessions, presenting recommendations, and translating technical detail for non-technical audiences. • Strong written and verbal communication — clear reference architectures, runbooks, and incident reports. • Track record of mentoring more junior engineers and raising team technical quality through code review and pairing. • Networking fundamentals: TCP/IP, DNS, load balancing, VLANs, and firewall administration. • Comfort working across multiple concurrent client environments and managing competing priorities under SLA.