Python consultant with Agentic AI

CoreVia Staffing; Irving (TX); Vor Ort; USD 120.000 - 190.000; Vollzeit

Zusammenfassung

CoreVia Staffing in Irving, TX seeks a Python consultant skilled in AI-powered agents to design scalable backend services and enterprise-grade automation.

You will integrate LLMs with databases and APIs, build RESTful services with FastAPI/Flask, implement retrieval-augmented generation pipelines, and collaborate across engineering and business teams to deliver secure banking solutions.

Qualifikationen

• Bachelor’s or Master’s in CS/IT/Engineering.
• Hands-on Python development with async patterns.
• Experience building AI agents and LLM-based applications.
• Experience with enterprise banking environments.

Aufgaben

• Design, develop, test, and maintain scalable Python applications and backend services.
• Build and implement Agentic AI solutions capable of reasoning, planning, tool usage, and multi-step task execution.
• Develop AI agents and orchestrated workflows using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent technologies.
• Integrate LLMs with enterprise applications, databases, APIs, and internal knowledge sources.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval and contextual responses.
• Develop RESTful APIs and microservices using FastAPI, Flask, or similar Python frameworks.
• Implement agent tool calling, workflow orchestration, memory management, state handling, and human-in-the-loop controls.
• Apply prompt engineering, structured output generation, and AI evaluation techniques to improve response quality.
• Implement security, access controls, audit logging, data privacy, and guardrails suitable for enterprise banking applications.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Troubleshoot issues, optimize application performance, and support deployment and production operations.
• Follow enterprise software development standards, code review practices, testing procedures, and CI/CD processes.

Kenntnisse

Python Development

Asynchronous programming

LLM / AI agent design

REST APIs

Backend services

Security and governance

Ausbildung

Bachelor’s or Master’s in Computer Science / IT / Engineering

Tools

FastAPI

Flask

Django

LangChain

LangGraph

CrewAI

AutoGen

Docker

Git

Jobbeschreibung

Title: Python consultant with Agentic AI

Location: Irving, TX

Employment Type: Full-Time

Work Mode: Onsite

Job Summary

The ideal candidate will have strong Python development skills and practical experience designing and implementing AI-powered agents, intelligent automation workflows, and LLM-based applications. The consultant will collaborate with engineering, architecture, and business teams to develop secure, scalable, and reliable AI solutions for enterprise banking environments.

Key Responsibilities

• Design, develop, test, and maintain scalable Python applications and backend services.
• Build and implement Agentic AI solutions capable of reasoning, planning, tool usage, and multi-step task execution.
• Develop AI agents and orchestrated workflows using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent technologies.
• Integrate LLMs with enterprise applications, databases, APIs, and internal knowledge sources.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval and contextual responses.
• Develop RESTful APIs and microservices using FastAPI, Flask, or similar Python frameworks.
• Implement agent tool calling, workflow orchestration, memory management, state handling, and human-in-the-loop controls.
• Apply prompt engineering, structured output generation, and AI evaluation techniques to improve response quality.
• Implement security, access controls, audit logging, data privacy, and guardrails suitable for enterprise banking applications.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Troubleshoot issues, optimize application performance, and support deployment and production operations.
• Follow enterprise software development standards, code review practices, testing procedures, and CI/CD processes.

Required Technical Skills

• Python Development
  • Strong hands-on experience with Python programming, object-oriented design, and asynchronous programming.
  • Experience with FastAPI, Flask, or Django.
  • Knowledge of REST APIs, microservices, SQL/NoSQL databases, Git, and unit testing.
• Agentic AI and Generative AI
  • Hands-on experience building and deploying AI agents and autonomous workflows.
  • Strong understanding of LLMs, prompt engineering, function/tool calling, and structured outputs.
  • Experience with LangGraph, LangChain, CrewAI, AutoGen, or equivalent agent frameworks.
  • Understanding of multi-agent orchestration, state management, memory, and workflow execution.
• RAG and Enterprise AI
  • Experience building RAG solutions, embeddings, document processing, and semantic search.
  • Familiarity with vector databases such as FAISS, Pinecone, Chroma, or equivalent.
  • Knowledge of retrieval optimization, grounding, hallucination mitigation, and AI response evaluation.
• Cloud, DevOps, and Deployment
  • Experience with AWS, Microsoft Azure, or GCP.
  • Familiarity with Docker, CI/CD pipelines, application monitoring, and production deployments.
  • Understanding of API integration, secrets management, and secure application architecture.
• Security and Quality
  • Experience implementing authentication, authorization, and secure API integrations.
  • Understanding of responsible AI, prompt injection risks, data protection, and auditability.
  • Strong debugging, testing, documentation, and problem-solving skills.

Preferred Qualifications

• Experience delivering Agentic AI solutions in enterprise or financial services environments.
• Familiarity with Model Context Protocol (MCP) and integrations with external tools.
• Experience with LLM observability, tracing, and AI evaluation frameworks.
• Knowledge of banking workflows, enterprise risk controls, and regulated application environments.
• Strong communication skills and the ability to collaborate with technical and business stakeholders.

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience.