Job Description
| Job Description: | Please strictly adhere to the following resume naming convention: ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_CandidateBeelineID i.e. PTN_US_9999999_SKIPJOHNSON0413 MSP Owner: William Bristol Location: See Below Duration: 6 months Must Have Technical/Functional Skills Claude Code and AI-assisted development · Strong day-to-day experience with Claude Code, including a disciplined workflow: plan before coding, use CLAUDE.md project memory, implement in small steps with tests, and review the code it generates. · Has run parallel workstreams using git worktrees, multiple sessions, subagents with focused roles (such as tester, reviewer or refactorer), custom slash commands, hooks and MCP integrations. · Can deliver deployable progress on several projects in the same day without sitting idle while a model generates. Applied AI engineering · Has built and taken to production RAG systems, with hands-on use of parsing and chunking libraries (for example Unstructured, Docling, LangChain or LlamaIndex splitters). · Solid grasp of hybrid search (BM25 plus dense vectors, reciprocal rank fusion) and cross-encoder reranking. · Has built agentic and multi-agent systems with LangGraph or a similar framework (CrewAI, AutoGen, Semantic Kernel), and understands state, checkpointing, conditional routing and interrupts. · Has built LLM evaluation using golden datasets, retrieval metrics (recall@k, MRR), faithfulness and groundedness checks, and LLM-as-judge, with tools such as Ragas, DeepEval or Promptfoo. · Can optimize cost and latency through model routing, prompt caching, context reduction and batching. · Strong Python and FastAPI, plus working knowledge of Docker and CI/CD. Open-source stack and best practices · Embeddings: open-source models such as bge, e5 or nomic, with the ability to benchmark them against commercial options. · Knows how to avoid vendor lock-in, check licenses on models and libraries, pin versions, and keep components modular so they can be swapped. Cloud · Preferred: Azure and GCP. For example, Azure OpenAI, Azure AI Search, Azure AI Document Intelligence, Vertex AI, Vertex AI Vector Search, GKE or AKS. Nice to have · Healthcare domain experience (payer or provider), with knowledge of PHI and HIPAA requirements and familiarity with FHIR. · Guardrails and security for LLM apps: PHI masking, prompt-injection defense, grounded answers with citations, audit logging. · Fine-tuning experience (LoRA or QLoRA) on open-weight models. Roles & Responsibilities We're looking for a hands-on Applied AI Engineer who builds and ships AI products. You'll join a team that finds AI opportunities across the business and turns them into working POCs and production applications, including chatbots, document intelligence, and agent-driven workflows. You'll often run 3–4 projects at once and deliver real progress on each one every day. To do that, you'll need to use AI coding tools well. · Design, build and productionize RAG, agentic AI and multi-agent orchestrated applications, from POC through deployment and support. · Own the full pipeline: ingestion and parsing, chunking, embeddings, indexing, hybrid retrieval, reranking, generation, evaluation and monitoring. · Build multi-agent workflows with state management, tool calling, retries and human-in-the- loop checkpoints. · Put evaluation frameworks and guardrails in place for accuracy, faithfulness, safety and cost. · Use Claude Code daily to move several independent projects forward in parallel. Generic Managerial Skills, If any Experience working in agile development projects and sprint deliver. A builder, not a strategist. Candidates should be able to show code they wrote, systems they shipped and production problems they fixed. The interview includes a live hands-on exercise using Claude Code. Key Words to search in Resume AI Engineer, cloud, LLM, python, scalable solution, Azure, GCP, Claude Pre-Screening Questionnaire 7+ years in AI engineer Designs, builds, and deploys production-grade artificial intelligence and machine learning applications to solve practical business and engineering problems. Role Descriptions: Applied AI engineer Essential Skills: Applied AI engineer Desirable Skills: Keyword: Skills: AI and Automation Experience Required: 8-10 |
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| Comments for Suppliers: | 4 Positions open |
Numbers & Facts
| Location | Aurora, IL |
| Industry | Computer/IT Services |
| Company Size | 500 to 999 employees |
| Year Founded | 1990 |
| Website | http://q1tech.com/ |
About Company
Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.
Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.
Skills
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