Software Engineer

job summary:

Randstad Digital is hiring and we're looking for someone like YOU to join our team! If you are seeking a new opportunity, looking to grow in your career, or you know someone who is - we want to hear from you! Take a look at the below opportunity, or feel free to visit RandstadUSA.com to view and apply.

location: Charlotte, North Carolina

job type: Contract

salary: $64.54 - 69.54 per hour

work hours: 8am to 5pm

education: Bachelors



responsibilities:

Key Responsibilities

Architecture & Orchestration

• Design multi?step agentic workflows with LangGraph (state machines, tools, retries, timeouts) and LangChain (chains, tools, memory).
• Build guardrails (input/output filtering, red?teaming hooks) and observability (tracing, telemetry, logging, prompt/version tracking).

RAG Pipelines

• Own ingestion pipelines: chunking, embeddings, document normalization, metadata, and vector DB indexing (e.g., Pinecone, Weaviate, Milvus, FAISS).
• Implement retrieval strategies: hybrid (BM25 + dense), multi?vector, reranking, query planning, LangGraph retrieval sub?graphs, caching.
• Build domain?specific adapters (schema, ontology alignment) and grounding with structured tools/knowledge bases.

Vertex AI & Platform Engineering

• Productionize services on Google Vertex AI (Models, Endpoints, Workbench, Pipelines, Vector Search, Feature Store).
• Containerize with Docker, orchestrate with Kubernetes/GKE, and automate with CI/CD (GitHub Actions/Cloud Build).

Full?Stack Delivery

• Build user?facing apps (React/Next.js) and backends (Python/FastAPI, Node/Express), including authentication/authorization and rate limiting.
• Develop tooling/services (e.g., document loaders, evaluators, red?teaming flows, prompt versioning, synthetic data pipelines).

Evaluation & Reliability

• Define and automate GenAI evaluation: relevance, faithfulness, hallucination rate, answer?exactness, latency, cost.
• Use techniques like RAGAS, G?Eval, rubric?based human?in?the?loop, pairwise comparisons, A/B tests, and production feedback loops.

Security, Governance & Cost

• Implement data privacy controls (PII detection, masking), policy enforcement, prompt hardening, and audit logging.
• Optimize latency and TCO (embedding/model selection, batching, caching, streaming, adaptive routing, quantization where applicable).

Mentorship & Standards

• Establish best practices for prompt patterns, orchestration, testing (unit & scenario), and model lifecycle management.
• Mentor engineers; collaborate with product/design to scope features and deliver business impact.
• Required Qualifications
• 7-10+ years software engineering experience; 3-5+ years applied ML/GenAI building production systems.
• Expert with LangChain and LangGraph (tools, agents, state graphs, retries, sub?graphs, observability).
• Hands?on with Vertex AI (Foundational models, Endpoints, Pipelines, Vector Search, Model Garden; IAM & service architectures).
• Robust 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 (FastAPI) or Node.js, plus React/Next.js front?end experience.
• Solid cloud experience (Google Cloud Platform preferred; AWS/Azure a plus), Docker/Kubernetes, and CI/CD.
• Robust understanding of GenAI evaluation (RAGAS, G?Eval, rubric scoring), observability (LangSmith/LlamaIndex observability/OpenTelemetry), 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.

qualifications:

Mentorship & Standards

Establish best practices for prompt patterns, orchestration, testing (unit & scenario), and model lifecycle management.

Mentor engineers; collaborate with product/design to scope features and deliver business impact.

Required Qualifications

7-10+ years software engineering experience; 3-5+ years applied ML/GenAI building production systems.

Expert with LangChain and LangGraph (tools, agents, state graphs, retries, sub?graphs, observability).

Hands?on with Vertex AI (Foundational models, Endpoints, Pipelines, Vector Search, Model Garden; IAM & service architectures).

Robust 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 (FastAPI) or Node.js, plus React/Next.js front?end experience.

Solid cloud experience (Google Cloud Platform preferred; AWS/Azure a plus), Docker/Kubernetes, and CI/CD.

Robust understanding of GenAI evaluation (RAGAS, G?Eval, rubric scoring), observability (LangSmith/LlamaIndex observability/OpenTelemetry), 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).

skills:

A/B tests,AWS,AI,AI products,audit logging,Cloud Build,cloud experience,Containerize,CI/CD,ingestion pipelines,logging,data pipelines,streaming,Databases,Docker,FastAPI,front-end,GenAI applications,GitHub Actions,Knowledge graphs,IAM,Kubernetes,embedding models,LLM,MLOps,versioning,metadata,scalable microservices,Azure,model selection,Next.js,Node,Node.js,Python,rate limiting,React,SQL,Vector Search,software engineering,version management,SaaS,state machines,integrations,communication,Reliability,business impact,Architecture,automate,ontology,data privacy,governance,knowledge bases,Mentorship,Mentor,normalization,red-teaming,policy enforcement,Platform Engineering,production systems,rubric,security,system design,telemetry,OpenTelemetry,testing,tracing,vector databases,workflows

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.