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Agentic AI Developer, Plano, TX (Hybrid)

MetaRPO

Hybrid in Plano, Texas • Yesterday

Easy Apply

Contract

Depends on Experience

Job Details

Skills

Git
Decision-making
Docker
Evaluation
Financial Services
Continuous Integration
Data Science
Cloud Computing
Collaboration
Continuous Delivery
Automated Testing
Banking
Business Systems
Apache Kafka
Artificial Intelligence
API
Agile
Amazon S3
Amazon Web Services
Reasoning
SQL
Semantic Search
Orchestration
Prompt Engineering
Python
Microsoft Azure
Microsoft Certified Professional
Kubernetes
LangChain
Google Cloud Platform
Information Security Governance
Generative Artificial Intelligence (AI)
Autogen
Database
Technical Drafting
Testing
Use Cases
Good Clinical Practice
Microservices
Semantics
Vector Databases
Workflow

Git
Decision-making
Docker
Evaluation
Financial Services
Continuous Integration
Data Science
Cloud Computing
Collaboration
Continuous Delivery
Automated Testing
Banking
Business Systems
Apache Kafka
Artificial Intelligence
API
Agile
Amazon S3
Amazon Web Services
Reasoning
SQL
Semantic Search
Orchestration
Prompt Engineering
Python
Microsoft Azure
Microsoft Certified Professional
Kubernetes
LangChain
Google Cloud Platform
Information Security Governance
Generative Artificial Intelligence (AI)
Autogen
Database
Technical Drafting
Testing
Use Cases
Good Clinical Practice
Microservices
Semantics
Vector Databases
Workflow

Summary

Agentic AI Developer
Locations: Plano, TX / Columbus, OH
Job Type: Contract / Long-Term
Work Arrangement: Hybrid
Duration: Long-Term

Job Summary

Seeking an experienced Agentic AI Developer to design, develop, and deploy intelligent AI agents and enterprise-grade generative AI solutions. The ideal candidate will have strong hands-on experience with Python, LLMs, AI agents, RAG, prompt engineering, tool/function calling, and cloud-based AI platforms.

The candidate will work with engineering, data science, product, and architecture teams to build secure, scalable, and production-ready AI solutions for enterprise and financial-services use cases.

Key Responsibilities

Design, develop, and deploy agentic AI applications using LLMs and modern AI frameworks.
Build autonomous and semi-autonomous AI agents capable of reasoning, planning, decision-making, and executing tasks through tools and APIs.
Develop multi-agent workflows and orchestration patterns for complex enterprise use cases.
Implement Retrieval-Augmented Generation (RAG) solutions using enterprise data sources.
Integrate LLMs with internal systems, APIs, databases, and enterprise applications.
Develop tool/function calling capabilities that allow AI agents to interact with business systems.
Work with frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar agentic AI frameworks.
Develop prompt templates, system instructions, evaluation strategies, and guardrails for LLM applications.
Implement vector search and embedding-based solutions using technologies such as Pinecone, OpenSearch, Azure AI Search, or similar platforms.
Develop AI applications using Python and REST APIs.
Integrate AI solutions with cloud platforms and enterprise infrastructure.
Implement security, governance, observability, and responsible-AI practices for production AI applications.
Monitor AI agent performance, latency, accuracy, reliability, and cost.
Build automated testing and evaluation frameworks for LLM and agentic applications.
Collaborate with architects, data engineers, product managers, and business stakeholders.
Participate in code reviews, technical design sessions, and Agile development activities.

Required Skills

Hands-on experience building Generative AI / LLM applications.
Strong understanding of Agentic AI concepts and AI agent architectures.
Experience with LLMs such as GPT, Claude, Gemini, Llama, or similar models.
Strong experience with Python and API development.
Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent frameworks.
Strong understanding of RAG architecture.
Experience with embeddings, vector databases, semantic search, and document retrieval.
Experience implementing function/tool calling and API integrations.
Strong knowledge of prompt engineering and LLM orchestration.
Experience with REST APIs and microservices.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience with Git, CI/CD, testing, and production deployment.

Preferred Skills

Experience developing multi-agent systems.
Experience with Model Context Protocol (MCP) and MCP-based tool integrations.
Experience with Google ADK, LangGraph, or similar agent orchestration frameworks.
Experience with AWS services such as Bedrock, Lambda, S3, ECS/EKS, and OpenSearch.
Experience with Kubernetes and Docker.
Knowledge of AI/LLM security, governance, and responsible AI.
Experience with LLM observability and evaluation tools.
Experience with Kafka or event-driven architectures.
Strong SQL and database knowledge.
Experience in the banking/financial services domain.

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: 91175902
Position Id: 9106227
Posted 1 day ago

Fitment

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Job Details

Skills

Git
Decision-making
Docker
Evaluation
Financial Services
Continuous Integration
Data Science
Cloud Computing
Collaboration
Continuous Delivery
Automated Testing
Banking
Business Systems
Apache Kafka
Artificial Intelligence
API
Agile
Amazon S3
Amazon Web Services
Reasoning
SQL
Semantic Search
Orchestration
Prompt Engineering
Python
Microsoft Azure
Microsoft Certified Professional
Kubernetes
LangChain
Google Cloud Platform
Information Security Governance
Generative Artificial Intelligence (AI)
Autogen
Database
Technical Drafting
Testing
Use Cases
Good Clinical Practice
Microservices
Semantics
Vector Databases
Workflow

Git
Decision-making
Docker
Evaluation
Financial Services
Continuous Integration
Data Science
Cloud Computing
Collaboration
Continuous Delivery
Automated Testing
Banking
Business Systems
Apache Kafka
Artificial Intelligence
API
Agile
Amazon S3
Amazon Web Services
Reasoning
SQL
Semantic Search
Orchestration
Prompt Engineering
Python
Microsoft Azure
Microsoft Certified Professional
Kubernetes
LangChain
Google Cloud Platform
Information Security Governance
Generative Artificial Intelligence (AI)
Autogen
Database
Technical Drafting
Testing
Use Cases
Good Clinical Practice
Microservices
Semantics
Vector Databases
Workflow

Summary

Agentic AI Developer
Locations: Plano, TX / Columbus, OH
Job Type: Contract / Long-Term
Work Arrangement: Hybrid
Duration: Long-Term

Job Summary

The candidate will work with engineering, data science, product, and architecture teams to build secure, scalable, and production-ready AI solutions for enterprise and financial-services use cases.

Key Responsibilities

Design, develop, and deploy agentic AI applications using LLMs and modern AI frameworks.
Build autonomous and semi-autonomous AI agents capable of reasoning, planning, decision-making, and executing tasks through tools and APIs.
Develop multi-agent workflows and orchestration patterns for complex enterprise use cases.
Implement Retrieval-Augmented Generation (RAG) solutions using enterprise data sources.
Integrate LLMs with internal systems, APIs, databases, and enterprise applications.
Develop tool/function calling capabilities that allow AI agents to interact with business systems.
Work with frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar agentic AI frameworks.
Develop prompt templates, system instructions, evaluation strategies, and guardrails for LLM applications.
Implement vector search and embedding-based solutions using technologies such as Pinecone, OpenSearch, Azure AI Search, or similar platforms.
Develop AI applications using Python and REST APIs.
Integrate AI solutions with cloud platforms and enterprise infrastructure.
Implement security, governance, observability, and responsible-AI practices for production AI applications.
Monitor AI agent performance, latency, accuracy, reliability, and cost.
Build automated testing and evaluation frameworks for LLM and agentic applications.
Collaborate with architects, data engineers, product managers, and business stakeholders.
Participate in code reviews, technical design sessions, and Agile development activities.

Required Skills

Hands-on experience building Generative AI / LLM applications.
Strong understanding of Agentic AI concepts and AI agent architectures.
Experience with LLMs such as GPT, Claude, Gemini, Llama, or similar models.
Strong experience with Python and API development.
Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent frameworks.
Strong understanding of RAG architecture.
Experience with embeddings, vector databases, semantic search, and document retrieval.
Experience implementing function/tool calling and API integrations.
Strong knowledge of prompt engineering and LLM orchestration.
Experience with REST APIs and microservices.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience with Git, CI/CD, testing, and production deployment.

Preferred Skills

Experience developing multi-agent systems.
Experience with Model Context Protocol (MCP) and MCP-based tool integrations.
Experience with Google ADK, LangGraph, or similar agent orchestration frameworks.
Experience with AWS services such as Bedrock, Lambda, S3, ECS/EKS, and OpenSearch.
Experience with Kubernetes and Docker.
Knowledge of AI/LLM security, governance, and responsible AI.
Experience with LLM observability and evaluation tools.
Experience with Kafka or event-driven architectures.
Strong SQL and database knowledge.
Experience in the banking/financial services domain.

Dice Id: 91175902
Position Id: 9106227
Posted 1 day ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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Agentic AI DeveloperLocations: Plano, TX / Columbus, OHJob Type: Contract / Long-TermWork Arrangement: HybridDuration: Long-Term

Job Summary

Key Responsibilities

Required Skills

Preferred Skills

Agentic AI Developer, Plano, TX (Hybrid)

Job Details

Skills

Summary

Agentic AI DeveloperLocations: Plano, TX / Columbus, OHJob Type: Contract / Long-TermWork Arrangement: HybridDuration: Long-Term

Job Summary

Key Responsibilities

Required Skills

Preferred Skills

Dice Job Match Score™

Similar Jobs

Agentic AI Developer
Locations: Plano, TX / Columbus, OH
Job Type: Contract / Long-Term
Work Arrangement: Hybrid
Duration: Long-Term

Agentic AI Developer
Locations: Plano, TX / Columbus, OH
Job Type: Contract / Long-Term
Work Arrangement: Hybrid
Duration: Long-Term