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Applied AI engineer

PublishedPublished: 6/14/2022
Technology

Job Description

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: 8-10Comments for Suppliers:4 Positions open

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