GenAI-Powered Python Architect (Azure, LangChain)

TechDigital Group; Houston (TX); On-site; USD 80,000 - 120,000; Full time

Job summary

An innovative company is seeking a talented software developer with a strong background in Python and Azure. This role focuses on the development of Generative AI applications, requiring expertise in object-oriented design and a solid understanding of AI concepts. The position involves the full software development lifecycle, including deploying and troubleshooting Azure function apps, and working with API management services. Join a forward-thinking team where your skills in cutting-edge technology will drive impactful projects and help shape the future of AI solutions. If you are passionate about software development and eager to work on exciting AI initiatives, this opportunity is for you.

Qualifications

• Strong Python experience required with around 6 months interfacing with LLM's.
• General understanding of Generative AI models and usage patterns is required.

Responsibilities

• Full software development lifecycle experience is essential.
• Role focuses on GenAI development and API management.

Skills

Python programming

Object oriented analysis and design

Generative AI concepts

C#

Azure

API development

Langchain

Tools

Azure Service Bus

Application Insights

Log Analytics Workspaces

API Management Service

Job description

Job Summary:

• Partner with business stakeholders across Prosperity to understand workflows and pain points, and proactively identify areas where agentic AI can drive meaningful improvement.
• Design, build, and deploy AI agents that automate or augment business processes — from initial concept through production deployment.
• Work full-stack: build the agent logic/orchestration as well as the surrounding application layer, integrations, APIs, and data pipelines needed to make an agent usable in a real workflow.
• Rapidly prototype agentic solutions, validate them with business users, and iterate quickly based on feedback.
• Evaluate and select appropriate agent frameworks, tooling, and LLM/model choices for each use case.
• Partner with platform/architecture teams to ensure agents are secure, scalable, auditable, and aligned with enterprise AI governance standards.
• Own technical delivery of assigned use cases end-to-end — discovery, build, deployment, and post-launch monitoring/tuning.
• Act as a trusted technical voice for agentic AI within Prosperity, educating business partners on realistic capabilities and limitations.
• Identify patterns across use cases and feed reusable agent components/frameworks back to the broader engineering organization.

Required Skills & Experience:

• Strong full-stack software engineering background (front-end, back-end, APIs, data layer) with hands-on coding ability — this is a builder role, not an advisory one.
• Direct, hands-on experience building AI agents or agentic workflows (e.g., using LLM orchestration frameworks, tool-calling/function-calling, RAG pipelines, or multi-agent systems).
• Demonstrated ability to independently identify business opportunities for AI/agentic involvement — not just execute a pre-defined technical spec.
• Comfort working directly with business stakeholders to scope ambiguous problems and translate them into working solutions.
• Experience with cloud platforms (AWS/Azure/GCP) and modern data/AI tooling.
• Strong communication skills — able to explain agentic AI concepts, tradeoffs, and limitations to non-technical business partners.
• Comfort with fast iteration cycles and evolving requirements typical of emerging-technology initiatives.
• Prior experience in a Forward Deployed Engineer, Applied AI Engineer, or Solutions Engineer role.
• Experience with agent frameworks/tooling such as LangChain, LangGraph, AutoGen, Semantic Kernel, or similar.
• Domain knowledge in Wealth Management, Retirement Services, or broader financial services.
• Experience with enterprise AI governance, model risk, or responsible AI practices in a regulated industry.
• Prior startup, consulting, or client-facing delivery experience.