Software Engineer 4

Pinnacle Technical Resources

Charlotte,, North Carolina

JOB DETAILS
SALARY
$65–$75 Per Hour
JOB TYPE
Contractor
SKILLS
Amazon Web Services (AWS), Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Authentication, Banking Services, Best Practices, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Docker, Engineering, GCP (Good Clinical Practices), Information Retrieval, Information Technology & Information Systems, Information/Data Security (InfoSec), Injections, Input/Output, Interviewing Skills, JavaScript, Job Analysis, Mentoring, Metrics, Microservices, Microsoft Windows Azure, Node.js, Onboarding, Privacy Controls, Product Design, Production Systems, Professional Services, Python Programming/Scripting Language, React.js, SQL (Structured Query Language), Sales Pipeline, Security Infrastructure, Shallow Parsing, Software Engineering, Traffic Shaping, User Interface/Experience (UI/UX)
LOCATION
Charlotte,, North Carolina
POSTED
1 day ago

Position: AI Developer (Agentic AI / Lang Chain / Vertex AI)
Location: Charlotte, North Carolina
Duration: Contract
Job ID: 178342

Job Overview:
We are seeking a highly skilled and experienced Software Engineer 4 to join our team in Charlotte, North Carolina. This role involves designing, building, and productionizing Generative AI (GenAI) applications end-to-end. The ideal candidate will lead the development of robust LangChain/LangGraph agentic workflows, high-quality RAG pipelines, and scalable microservices on Google Vertex AI. This position requires a hands-on approach to system design, implementation, MLOps, observability, and governance, working closely with product, data, security, and platform teams to deliver reliable, secure, and cost-efficient AI products. Please Reach out to AdityaSingh.Thakur@PTRGlobal.com for further details. 

Responsibilities:

  • Design multi-step agentic workflows using LangGraph and LangChain.
  • Build guardrails for input/output filtering, red teaming hooks, and observability tools.
  • Develop and manage RAG pipelines, including ingestion pipelines, retrieval strategies, and domain-specific adapters.
  • Productionize services on Google Vertex AI and containerize with Docker, orchestrate with Kubernetes/GKE, and automate with CI/CD tools.
  • Build user-facing applications and backends, including authentication, authorization, and rate limiting.
  • Define and automate GenAI evaluation metrics such as relevance, faithfulness, hallucination rate, and latency.
  • Implement data privacy controls, policy enforcement, and cost optimization strategies.
  • Establish best practices for prompt patterns, orchestration, testing, and model lifecycle management.
  • Mentor engineers and collaborate with product/design teams to scope features and deliver impactful solutions.

Qualifications:
  • 7 to 10+ years of software engineering experience, with 3 to 5+ years in applied ML/GenAI building production systems.
  • Expertise in LangChain and LangGraph, including tools, agents, state graphs, and observability.
  • Hands-on experience with Google Vertex AI, including foundational models, endpoints, pipelines, and vector search.
  • Strong RAG practitioner with experience in chunking strategies, embeddings, hybrid retrieval, and evaluation.
  • Deep knowledge of vector databases such as Pinecone, Weaviate, Milvus, and FAISS.
  • Proficiency in Python (FastAPI) or Node.js for backends, and React/Next.js for front-end development.
  • Solid cloud experience (GCP preferred; AWS/Azure a plus), Docker/Kubernetes, and CI/CD.
  • Strong understanding of GenAI evaluation, observability, and prompt/version management.
  • Knowledge of security and governance, including PII handling, data residency, and prompt injection defenses.
  • Excellent communication skills and a proven track record of delivering impactful solutions.

Nice to Have:
  • Experience with knowledge graphs, retrieval planning, and tool former/agent patterns.
  • LLM serving and routing, including Guardrails and function/tool calling integrations.
  • Experience with LlamaIndex and structured RAG (SQL/Graph RAG).

About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com

At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:

  • Pay any fee to be considered for, submitted to, or selected for any opportunity.
  • Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
  • Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.

Pay Range: $65 - $75 on W2

The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.

If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com

During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.

About the Company

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Pinnacle Technical Resources