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Python Llm Jobs in Concord, NC (NOW HIRING)

Kaleidoscope Innovation

AI Developer

Charlotte, NC · On-site

The AI Developer will design, build, and operate LLM-powered agents to interpret servicing requests ... in Python and building back-end services/APIs • Experience with at least one: LangChain ...

ICONMA

Agentic AI Developer

Charlotte, NC · On-site

... Python services exposing agent capabilities (sync + streaming); integrate with SQL (Postgres) and object stores (S3). • Write evaluation harnesses (golden sets, regression suites, LLM-as-judge) and ...

INFOSYS NOVA HOLDINGS LLC

AI Developer

Charlotte, NC · On-site

The AI developer will design, build, and operate LLM-powered agents that interpret inbound ... Strong proficiency in Python and building back-end services/APIs. * Experience with at least one:

XPath Solutions

Generative AI Engineer

Charlotte, NC · On-site

$60 - $72/hr

Deploy and optimize vLLM for high-throughput, low-latency LLM inference in production environments. * Build scalable APIs using Python and integrate GenAI capabilities into enterprise applications ...

CYNET SYSTEMS

Gen AI Engineer

Charlotte, NC · On-site

$57/hr

Strong programming skills in Python, React, Angular. * Experience with AWS cloud platform and ... Experiment with and implement cutting-edge LLM agentic technologies to enhance application ...

CYNET SYSTEMS

Agentic AI Developer

Charlotte, NC · On-site

$85/hr

Strong Python (FastAPI, async, Pydantic) or Node/TypeScript equivalent. * Hands-on with at least one agent framework (Claude Agent SDK / Lang Graph / AutoGen). * Practical experience with LLM tool ...

CYNET SYSTEMS

Agentic AI Developer

Charlotte, NC · On-site

$85/hr

Strong Python (FastAPI, async, Pydantic) or Node/TypeScript equivalent. * Hands-on with at least one agent framework (Claude Agent SDK / Lang Graph / AutoGen). * Practical experience with LLM tool ...

Collabera LLC

AI/ML Engineer

Charlotte, NC · On-site

Develop AI/LLM-powered extraction capabilities for semi-structured and unstructured documents using ... Strong Python development skills. Required Technical Skills AI & Machine Learning * Python

eTeam

AWS Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Responsibilities : • Solid experience in data engineering using Python. • Should have experience in working through AI, LLM. • Experience working with Cloud technologies (AWS preferred). • ...

Qaurs Techno Systems LLC

AI Engineer

Charlotte, NC · On-site

$50K - $60K/yr

... Java and Python, with a proven track record of building production-grade software. * Google AI Tools: Hands-on experience with Google ADK (or equivalent Google Cloud AI/Vertex AI tools). * LLM ...

eTeam

AWS Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Responsibilities : • Solid experience in data engineering using Python. • Should have experience in working through AI, LLM. • Experience working with Cloud technologies (AWS preferred). • ...

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All JobsPython Llm JobsPython Llm Jobs in Concord, NC

Python Llm information

See Concord, NC salary details

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How much do python llm jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for python llm in Concord, NC is $54.60, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $62.02 per hour, depending on experience, location, and employer.

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What are popular job titles related to Python Llm jobs in Concord, NC? For Python Llm jobs in Concord, NC, the most frequently searched job titles are:
What cities near Concord, NC are hiring for Python Llm jobs? Cities near Concord, NC with the most Python Llm job openings:
Python Llm jobs near you

AI Developer

Kaleidoscope Innovation

Charlotte, NC • On-site

Full-time

Re-posted 15 days ago

Job description

Job Summary:
Kaleidoscope Innovation is building an agentic AI platform to transform commercial banking customer service. The AI Developer will design, build, and operate LLM-powered agents to interpret servicing requests and execute workflows through secure integrations.
Responsibilities:
• Build and enhance LLM/agent orchestration (Planner/supervisor patterns, tool-using agents, routing, guardrails).
• Implement intent classification information extraction validation and decision logic for servicing workflows
• Developed tool calling integrations to downstream systems (CRM, workflow engine, core banking services, case management)
• Implement human-in-the-loop workflows (review, approval, escalation, override) based on confidence/risk thresholds
• Design and implement retrieval-augmented generation (RAG) for policy procedure grounding and resolution guidance
• Build knowledge ingestion pipelines with refresh/versioning
• Improve answer quality via chunking strategies, embeddings re ranking and context management
• Define and run evaluation frameworks: golden datasets, scenario tests, regression tests, and automated scoring.
• Reduce hallucinations and risk by implementing prompt policies, constraints, structured outputs, and verification steps.
• Partner with risk slash compliance to ensure traceability, audit logs, explain ability requirements are met.
• Implement observability for agents (latency, cost, tool failures, drift, quality signals, escalation rates).
• Support CI/CD for agent prompts and configurations (versioning, approvals, rollback).
• Collaborate with platform and security teams on secrets management, access controls, PII protections, and safe deployments.
Qualifications:
Required:
• 4+ years of software engineering experience or equivalent with strong CS fundamentals
• Hands-on experience building with LLMs and modern AI app stack (agents, RAG, tool/function calling)
• Strong proficiency in Python and building back-end services/APIs
• Experience with at least one: LangChain / LangGraph, Llamalndex, Semantic Kernel or equivalent frameworks
• Experience with vector databases and search (e.g., Pinecone, Weaviate, Milvus, OpenSearch/Elastic, pgvector)
• Experience deploying services in cloud environments (AWS/Azure/GCP) with basic DevOps practices
• Strong understanding of security and privacy principles (PII handling, least privilege, audit logging)
Preferred:
• Experience in financial services or other regulated domains (risk controls, compliance audit readiness)
• Experience integrating with enterprise workflows (e.g., ServiceNow, Custom workflow engines, BPM/RPA)
• Familiarity with model evaluation approaches (LLM-as-judge, rubric scoring, retrieval evals, offline/online testing)
• Experience with messaging/eventing (Kafka/SQS), email ingestion pipelines, and document processing
• Exposure to MRM concerns and governance (model cards, risk assessments, validation processes)
Company:
When clients come to us for product design and development, they get a full range of technical expertise and laboratory resources, but they also get a team that’s relentless when it comes to solving problems and creating designs that are the ideal combination of function and form. Founded in 1989, the company is headquartered in Cincinnati, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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