Senior AI Developer

Strategic Staffing Solutions; Charlotte (NC); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Strategic Staffing Solutions in Charlotte, NC seeks a Senior AI Developer. This hybrid role is 3 days onsite and 2 days remote, with a Mon-Fri 8am–5pm shift. You will lead development of production ML/GenAI systems and collaborate across teams to deliver scalable solutions.

Candidates should have 7–10+ years in software engineering, deep experience with Lang Chain/Graphs, Vertex AI, and vector databases. Proficiency in Python (FastAPI) or Node.js, plus React/Next.js, cloud platforms (GCP

Qualifications

• 7-10+ years software engineering experience with 3-5+ years applied ML/GenAI building production systems.
• Expert with Lang Chain and Lang Graph (tools, agents, state graphs, retries, sub-graphs, observability).
• Hands-on with Vertex AI (Foundational models, Endpoints, Pipelines, Vector Search, Model Garden; IAM & service architectures).
• Strong RAG practitioner (chunking strategies, embeddings, hybrid retrieval, rerankers like Cohere/Rerank or bge-rerank, evaluation).
• Deep experience with vector databases (Pinecone, Weaviate, Milvus, FAISS) and embedding models (OpenAI, Vertex, Cohere, bge-large).
• Production backends in Python (Fast API) or Node.js, plus React/Next.js front-end experience.
• Solid cloud experience (GCP preferred; AWS/Azure a plus), Docker/Kubernetes, and CI/CD.
• Strong understanding of GenAI evaluation (RAGAS, G-Eval, rubric scoring), observability (LangSmith/LlamaIndex observability/Open Telemetry), and prompt/version management.
• Knowledge of security & governance: PII handling, isolation, data residency, prompt injection defenses, secret management.

Skills

Communication skills

Problem solving

Tools

Lang Chain

Lang Graph

Vertex AI

RAG

Pinecone

Weaviate

Milvus

FAISS

OpenAI embeddings

Python (FastAPI)

Node.js

React/Next.js

GCP

AWS

Kubernetes

Docker

CI/CD

LangSmith

LlamaIndex

Observability

Prompt engineering

Job description

Senior AI Developer

Location: Charlotte, NC

Hybrid: 3 days onsite / 2 days remote

Shift: Monday through Friday 8am - 5pm

Pay Rate:

Required Qualifications

• 7-10+ years software engineering experience; 3-5+ years applied ML/GenAI building production systems.
• Expert with Lang Chain and Lang Graph (tools, agents, state graphs, retries, sub-graphs, observability).
• Hands-on with Vertex AI (Foundational models, Endpoints, Pipelines, Vector Search, Model Garden; IAM & service architectures).
• Strong RAG practitioner (chunking strategies, embeddings, hybrid retrieval, rerankers like Cohere/Rerank or bge-rerank, evaluation).
• Deep experience with vector databases (Pinecone, Weaviate, Milvus, FAISS) and embedding models (OpenAI, Vertex, Cohere, bge-large).
• Production backends in Python (Fast API) or Node.js, plus React/Next.js front-end experience.
• Solid cloud experience (GCP preferred; AWS/Azure a plus), Docker/Kubernetes, and CI/CD.
• Strong understanding of GenAI evaluation (RAGAS, G-Eval, rubric scoring), observability (LangSmith/LlamaIndex observability/Open Telemetry), and prompt/version management.
• Knowledge of security & governance: PII handling, isolation, data residency, prompt injection defenses, secret management.
• Excellent communication; proven track record turning ambiguous problem statements into shipped products.

Nice to Have

• Knowledge graphs (RDF/OWL), retrieval planning, and toolformer/agent patterns.
• LLM serving and routing (DG/mixture-of-experts, function/tool calling, Guardrails, Instructor schemas, Pydantic).
• LlamaIndex experience; structured RAG (SQL/Graph RAG); function/tool calling integrations (Databases, SaaS).