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5 jobs found

20d ago

AI Engineer

Pointer Infotech L.L.C Columbus, OH

Columbus, OH

20d ago

$65 - $70/hr Full time Backend Developer Agentic Ai Agentic Ai Orchestration

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Job Description

This role focuses on designing, implementing, and optimizing agentic and conversational AI solutions across Microsoft and Google ecosystems. As an experienced AI Engineer / Senior AI Architect, you will build and deploy AI capabilities using Azure AI services and Google Dialogflow CX and related offerings.

Key Responsibilities

Develop agentic AI solutions, conversational agents, and virtual assistants.
Work hands-on with Microsoft Foundry and Azure AI services.
Build AI solutions using Azure AI Search, Azure AI Language, Power Platform, and Copilot Studio.
Develop AI conversational solutions using Google Dialogflow CX, Google Conversational Agents, and Google CCAI Services.
Build and integrate APIs and web services with AI applications.
Apply expertise in NLP, Generative AI, LLMs, and AI/ML.
Develop and maintain SharePoint Online solutions using Microsoft Power Platform.
Train, deploy, monitor, and optimize AI models over time.
Create Looker dashboards to monitor AI agent performance.
Ensure AI solutions adhere to security, privacy, governance, and responsible AI practices.
Collaborate with business SMEs and cross-functional technical teams.
Lead AI Proof of Concept (POC) initiatives and present AI solutions to stakeholders.

Required Skills and Qualifications

Strong expertise in Agentic AI, Conversational AI, and AI solution development.
Hands-on experience building AI solutions across Microsoft and Google ecosystems.
Mandatory: Agentic AI development using Microsoft Foundry.
Mandatory: SharePoint Online plus Microsoft Power Platform.
Mandatory: Google Conversational Agents / Dialogflow CX / Google CCAI Services.
Strong programming skills in C#, .NET, JavaScript, or Python.
Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent experience.
No visa sponsorship is available this time.

Technology Stack

Microsoft Foundry
Azure AI services, Azure AI Search, Azure AI Language
Power Platform, Copilot Studio
Google Dialogflow CX, Google Conversational Agents, Google CCAI Services
NLP, Generative AI, LLMs, AI/ML
SharePoint Online, Looker
C#, .NET, JavaScript, Python

Location, Experience, and Compensation

Location: Columbus, OH (onsite)
Experience: 5+ years minimum
Compensation: USD 65 - 70 per hourly

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1mo ago

Associate AI Engineer

Pogue Construction McKinney, TX

McKinney, TX

1mo ago Closed

Full time Ai Automation Ai Engineer Artificial Intelligence

This position is no longer accepting applications (closed Sep 15, 2026).

Job Description

Build and support governed, bounded AI and automation solutions on Microsoft Fabric at Pogue in McKinney, TX.

Responsibilities

Develop, test, and improve bounded AI and automation capabilities using VS Code, SQL, APIs, Git, and Pogue-approved cloud services
Support solutions including permission-aware enterprise search, retrieval-augmented generation (RAG), internal assistants, workflow support, and AI-enabled analytics
Convert approved backlog items into requirements, technical tasks, acceptance criteria, and small releases that are measurable and safely supported
Create prototypes during discovery, then help transform validated prototypes into maintainable services and reusable patterns
Participate in design review with the Principal Solutions Architect before development starts, then move approved designs through to release
Work with Microsoft Fabric lakehouse data, governed Gold business objects, semantic models, metadata, and shared business definitions
Connect structured data with approved documents using secure APIs and retrieval patterns while preserving source permissions, citations, versions, and effective dates
Contribute to Pogue’s enterprise ontology and knowledge foundation by documenting objects, relationships, definitions, ownership, and authoritative sources
Build only on data confirmed as validated in the Gold layer
Document architecture, assumptions, decisions, data flows, interfaces, tests, deployment steps, and operating runbooks for ongoing support
Evaluate accuracy, failure modes, access behavior, latency, cost, and usefulness; convert results into clear release recommendations
Follow Pogue requirements for identity, role-based access, data-classification, approved-model use, logging, monitoring, and human-approval steps
Raise uncertainty, security concerns, and data-quality issues early and propose practical options instead of hiding risk
Work with business owners and subject-matter experts to understand the decision or workflow before selecting a technical approach
Communicate tradeoffs in plain language, ask focused questions, demonstrate progress, and incorporate feedback from technical and nontechnical teammates
Support adoption with concise guides, examples, training materials, and responsive follow-through after launch
Support the AI Champions Network as solutions roll out to project teams

Requirements

Team player mindset
Teachable and capable of learning through feedback
Curious and self-directed
Can write and troubleshoot code in VS Code
Working knowledge of SQL
Working understanding of REST APIs, Git-based collaboration, testing, and basic cloud concepts
Secure handling of credentials and data
Ability to explain a technical project, including decisions made, tradeoffs, and how results were validated
Clear written communication
Able to relate to and communicate with a diverse group of professionals
Can work both individually and as part of a team
Self-motivated and driven
Highly organized and detail oriented
Highly analytical thinker
Positive attitude
Internal and external customer service orientation
Willingness to ask for context when requirements are incomplete
Minimum 20 hrs of Continued Education (yearly)

Technologies

VS Code, SQL, APIs, Git
Microsoft Fabric, OneLake
Azure AI Search, Azure OpenAI, Azure AI Foundry
Power BI
LLM applications, RAG, embeddings
Prompt or model lifecycle management
Agents or workflow automation
Protégé, OWL, RDF, SPARQL
TypeScript, C#, CI/CD
Containerized services, monitoring

Technical Program Experience (Not Required)

Microsoft Azure or Fabric, OneLake or lakehouse patterns, Power BI, Azure AI Search, Azure OpenAI or Azure AI Foundry
LLM applications, RAG, embeddings, evaluation, prompt or model lifecycle management, agents or workflow automation
Knowledge representation, semantic modeling, enterprise ontologies, or knowledge graphs coursework or projects, including Protégé, OWL, RDF, or SPARQL
Metadata, data lineage, document management, or construction and project-control systems
TypeScript, C#, or another modern language
CI/CD, containerized services, monitoring, cost management, or secure enterprise integration

Location: McKinney, TX (onsite)

Education: Bachelor’s degree in computer science, software engineering, information systems, data science, or a related field (or co…)

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1mo ago

Lead AI Engineer

Main Sail LLC Remote 🌍 Remote

Remote

1mo ago Closed

$85 - $95/hr Full time Backend Developer Manager Agent Orchestration

This position is no longer accepting applications (closed Sep 15, 2026).

Job Description

Main Sail LLC is seeking a Lead AI Engineer to design and deliver agentic AI and conversational solutions across Google, AWS, and Microsoft ecosystems. The role focuses on context engineering, agent design, secure API-based data access, and ongoing model performance and governance.

Key Responsibilities

Develop applications that interact with web services, APIs, and other software applications.
Lead and mentor AI design and development efforts as needed, including conducting peer reviews to maintain and expand AI design standards.
Design the overall structure of agentic AI solutions, including defining required features, user flow, and API development and integration with other systems.
Implement and tune Natural Language Processing techniques to improve AI assistant understanding and response accuracy.
Train and deploy AI models, and monitor solution performance using dashboards.
Create custom indexes, manage data sources, and tune intent matching to improve accuracy and relevance within the AI solution context.
Design conversational flows that deliver a seamless, intuitive experience with human-like and engaging agent interactions.
Analyze agent interaction data to identify patterns, trends, and improvement opportunities.
Prepare reports on agent performance metrics and investigate agent performance issues through debugging and system updates.
Ensure the AI agent and conversational assistant comply with data privacy laws and maintain high security standards when handling sensitive user data.
Collaborate with cross-functional teams, including business analysts, UX designers, project managers, and business customers and business SMEs.
Work with Automation Center of Excellence (CoE) members, incorporating established standards and ensuring solutions align with target architectures and technology roadmaps.
Support safe and transparent AI operations within accepted boundaries, aligned to organizational governance policies and practices.
Plan, initiate, and spearhead proof of concept (POC) initiatives using emerging technologies.
Produce technical writing and materials using Word, PowerPoint, Visio, SharePoint, and Excel to create presentations and white papers.

Required Qualifications

Bachelor’s degree in computer science, Information systems, or a related discipline, or equivalent and extensive related project experience.
Six years of IT experience, including at least four years implementing AI conversational agents and/or generative AI.
Two years of experience developing Google conversational agents, including CX Agent Studio and Dialogflow CX Web and Voice Virtual Assistants.
Two years of experience developing Enterprise Looker Dashboards to monitor AI agent performance.
Two years of experience in AWS ecosystems using AWS services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda, and Step Functions.

Preferred Qualifications

Agentic AI Developer experience using Microsoft Foundry.
Experience developing and maintaining SharePoint Online solutions using MS Power Platform.
Google and AWS certifications relevant to the role.

Skills and Technical Focus

Extensive experience building AI conversation agents using Google tools such as CX Agent Studio, Google Conversational Agents, Dialogflow CX, and/or Google CCAI Services.
Ability to build and maintain Enterprise Looker Dashboards for monitoring AI agent performance.
Experience delivering generative AI solutions in the AWS ecosystem, including AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda, and Step Functions.
Capability to develop AI agents and virtual assistants using Microsoft Foundry with Azure services including Azure AI Search and Azure AI Language Service, plus Microsoft Power Platform and Microsoft CoPilot Studio.
Ability to integrate virtual assistants with Microsoft services such as Office 365 and SharePoint, and third-party APIs.
Deep understanding of API design principles and AI service interface constraints.
Strong programming skills in C#, .NET, JavaScript, or Python for chatbot application development, testing, and deployment.
Ability to facilitate discussions with business SMEs, and create and present AI solution proposals that communicate business and technical concepts.
Experience training and deploying AI models, and leading efforts to create technology solutions and architectures affecting critical business areas.
Ability to lead emerging technology analysis and conduct proof of concept initiatives.
Strong consultative skills across cross-functional stakeholders, including critical thinking and problem-solving.
Ability to establish and maintain high customer trust and confidence.

Technologies

Google CX Agent Studio, Google Conversational Agents, Google Dialogflow CX, Google CCAI Services
Looker Dashboards
AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda, Step Functions
Microsoft Foundry, Azure AI Search, Azure AI Language Service
Microsoft Power Platform, Microsoft CoPilot Studio, Office 365, SharePoint
C#, .NET, JavaScript, Python
Word, PowerPoint, Visio, Excel
NLP, LLM, Natural Language Processing, Artificial intelligence and machine learning fundamentals

Education

Bachelor’s degree in computer science, Information systems, or a related discipline. Master’s degree is preferred.

Location and Compensation

Location: Remote (remote). Compensation: USD 85 to 95 per hour.

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1mo ago

Lead AI Engineer

Vytwo Dallas, TX

Dallas, TX

1mo ago Closed

Full time Manager Artificial Intelligence Azure

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Vytwo is building production-ready AI solutions and is hiring a Lead AI Engineer to help design and deploy end-to-end data and AI pipelines on Azure Databricks and other Azure cloud services. This onsite role in Dallas, TX focuses on moving AI from experimentation to reliable production systems, including deployment, monitoring, and optimization across ML and Generative AI use cases.

What you will do

Design and build end-to-end data and AI pipelines using Azure Databricks.
Develop robust ETL/ELT workflows with Python (including PySpark) and SQL.
Implement CI/CD pipelines for Databricks deployments, including jobs, notebooks, and workflows.
Integrate Databricks with Azure services such as Data Lake, Blob Storage, Key Vault, Azure OpenAI, and Azure Functions.
Optimize Databricks jobs for performance, cost, and reliability.
Create reusable, modular code to support maintainable production systems.
Collaborate with data scientists and platform teams to move models from experimentation to production deployment.
Implement logging, monitoring, and error handling for production pipelines.
Develop and deploy ML and Generative AI models, including LLMs, embeddings, and RAG pipelines for NLP, computer vision, and predictive analytics.
Fine-tune LLMs using LoRA or QLoRA, and integrate with Azure OpenAI or Hugging Face models.
Build vector search and retrieval pipelines using FAISS or Azure Cognitive Search.
Support responsible AI practices, including bias detection and model governance.

What you bring

Hands-on experience with Azure Databricks, including jobs, workflows, and clusters (with Unity Catalog preferred).
Python skills with strong emphasis on PySpark rather than only pandas.
SQL experience, including complex joins, window functions, and analytical queries.
Working knowledge of Azure cloud components such as ADLS Gen2, ADF, Key Vault, and IAM concepts.
Experience with pipeline orchestration and deployment, including CI/CD and environment promotion.
Experience with Azure DevOps.
Strong understanding of the ML lifecycle and MLOps best practices.
Experience deploying models using MLflow or similar frameworks.

Technologies you will work with

Azure Databricks; Databricks workflows, jobs, and notebooks
Azure cloud infrastructure including Azure Data Lake, Blob Storage, Key Vault, Azure OpenAI, Azure Functions
Python, PySpark, SQL; ETL/ELT
CI/CD pipelines; Logging and Monitoring
ML and Generative AI; MLflow
LoRA, QLoRA, Hugging Face models
FAISS and Azure Cognitive Search; vector search and RAG pipelines
Unity Catalog; ADLS Gen2; ADF; IAM concepts; Azure DevOps
NLP, computer vision, predictive analytics

Strong advantage

Experience with ML and Generative AI workloads on Databricks.
Experience with RAG, embeddings, or inference pipelines.
Terraform / ARM / Bicep experience for infrastructure.
Databricks Asset Bundles experience.
Airflow or ADF orchestration experience.
Production monitoring and cost optimization experience.
Knowledge of LangChain or similar frameworks for AI application development.
Experience with Azure AI services such as Azure Machine Learning or Azure Cognitive Services.

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1mo ago

Sr Machine Learning Engineer

System One Pittsburgh, PA

Pittsburgh, PA

1mo ago Closed

Contract Senior Ai Ml Artificial Intelligence

This position is no longer accepting applications (closed Aug 21, 2026).

Job Description

The Senior Machine Learning Engineer role at System One is an onsite, contract-to-hire opportunity available across multiple locations, including Pittsburgh, PA; Dallas, TX; and Cleveland, OH. The position requires 10+ years of experience and centers on production ML models, GenAI and large language models, governance, and release planning within the finance sector.

Responsibilities

Provide ongoing support for models deployed to production applications
Engage with internal clients to elicit requirements, align the technical team, and drive delivery
Plan releases, coordinate activities, and provide hands-on support throughout release windows

Requirements

Experience delivering production solutions that leverage generative AI and LLMs
Machine learning model solution design, build, orchestration, and implementation
Experience building solutions with model governance, risk management, and regulatory adherence
GPT 5.x
Langchain
RAG / RAGAS

Technologies

GPT 5.x
Langchain
RAG / RAGAS
Azure AI Search
AI Agent Service
Document Intelligence
Content Safety
Microsoft Agent Framework
Foundry
Redis
Elasticsearch
Arize
Deepeval
ChromaDB
Langgraph

Location

Onsite in multiple locations, including Pittsburgh, PA; Dallas, TX; and Cleveland, OH.

Work Status

Onsite five days per week

Duration

Contract to Hire

Experience

10+ years

Industry Background

Finance / Banking

Nice to Have

Experience in financial services
Azure AI Search / AI Agent Service / Document Intelligence / Content Safety
Microsoft Agent Framework / Foundry
Redis
Elasticsearch
Arize
Deepeval
ChromaDB
Langgraph

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Azure Ai Search Data Jobs

AI Engineer

Associate AI Engineer

Lead AI Engineer

Lead AI Engineer

Sr Machine Learning Engineer

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