Motion Recruitment Partners, LLC
Motion Recruitment Partners, LLC

Senior AI Developer (Full-Stack)

CHARLOTTE, NC, US • Posted 6 hours ago • Updated 6 hours ago
Contract W2
On-site
$69.5 - $76.16/hr
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Job Details

Skills

  • Financial Services
  • Finance
  • Training
  • Military
  • Machine Learning (ML)
  • Vector Databases
  • Node.js
  • Google Cloud Platform
  • Google Cloud
  • Amazon Web Services
  • Microsoft Azure
  • LangSmith
  • Version Control
  • Management
  • Communication
  • Resource Description Framework
  • OWL
  • LlamaIndex
  • SQL
  • SaaS
  • Software Engineering
  • Regulatory Compliance
  • Workflow
  • LangChain
  • Normalization
  • Meta-data Management
  • Database
  • Okapi BM25
  • Adapter
  • Ontologies
  • Vertex
  • Artificial Intelligence
  • Docker
  • Kubernetes
  • Continuous Integration
  • Continuous Delivery
  • GitHub
  • Cloud Computing
  • React.js
  • JavaScript
  • Python
  • Authentication
  • Authorization
  • Generative Artificial Intelligence (AI)
  • Evaluation
  • Information Security Governance
  • Privacy
  • Hardening
  • Auditing
  • Caching
  • Streaming
  • Routing
  • Orchestration
  • Testing
  • Lifecycle Management
  • Mentorship
  • Collaboration
  • Product Design

Summary

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Software Engineer in Charlotte, NC (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 12 Months

Required Skills & Experience
  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
  • 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).
  • 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 (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.
  • Strong 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.
Desired Skills & Experience
  • 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).

What You Will Be Doing
  • Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.
  • Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
  • Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
  • Strategically collaborate and consult with client personnel.
  • 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 884658
  • Posted 6 hours ago

Company Info

About Motion Recruitment Partners, LLC

Motion Recruitment delivers IT Talent Solutions for Contract, Direct Hire, Managed Solutions and Statement of Work to all of North America from our 21 delivery centers. Our high-touch, specialized, team-based recruitment model’s success is proven through our exemplary track record in filling the most challenging IT positions for startup and enterprise clients alike. Our hyper-specialized tech focus results in a truly consultative approach for both our clients and candidates, within our recruiting areas of expertise: Software, Mobile, Data, Infrastructure, Cybersecurity, Product + UX and Functional.

Motion also delivers IT Consulting Solutions through the Motion Consulting Group (MCG) that create true digital transformation for IT projects in Agile Development & Coaching, DevOps & DevSecOps Solutions, and Managed Services for IT Operations.

We’re also the proud creators of Tech in Motion and the Timmy Awards, our North American community platform, events series and award program that connects over 250,000 tech enthusiasts to meet, learn, and innovate.

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