Llm Agents

Llm Agents Engineer Jobs

3 jobs found

1d ago

AI Engineer

Transformativ, LLC McKinney, TX

McKinney, TX

1d ago

$75 - $100/hr Contract Agentic Ai AI Ai Engineer

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Job Description

Transformativ, LLC is seeking an AI Engineer to help design, build, and deploy agentic AI and multi-agent systems that support enterprise clients. This hybrid role in McKinney, TX centers on production-grade LLM solutions, orchestration, and practical integration with business platforms.

Location and Work Arrangement

Primary: Hybrid remote in McKinney, TX 75070
Additional: Dallas, TX (Preferred) | Remote considered for exceptional candidates
Job type: Contract
Work model: 1099 Independent Contractor with contract-to-hire opportunity

Role Summary

The AI Engineer will focus on agentic AI, large language models (LLMs), and multi-agent systems to build and deploy production-ready AI solutions for enterprise customers. The work includes architecting, implementing, and integrating AI workflows and applications using modern LLM and orchestration tools.

Responsibilities

Design and deploy production-ready Agentic AI and multi-agent systems
Build enterprise AI applications using Python and LLM platforms such as OpenAI, Anthropic, Google Gemini, Azure OpenAI, or similar services
Develop AI workflows with orchestration frameworks including LangGraph, CrewAI, AutoGen, MCP, or comparable tools
Integrate AI solutions with APIs, databases, Microsoft 365, ERP, CRM, and other enterprise systems
Collaborate with business leaders to translate operational challenges into AI solutions
Lead technical design discussions and mentor other engineers when appropriate
Evaluate emerging AI technologies and recommend practical approaches

Required Qualifications

Professional experience building production AI applications
Strong Python development skills
Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini, Azure OpenAI, etc.)
Experience with Agentic AI, autonomous agents, multi-agent systems, or AI orchestration
Experience integrating REST APIs, databases, and enterprise applications
Excellent communication and client-facing consulting skills
Ability to explain complex AI concepts to both technical and business audiences

Compensation

Pay: $75.00 - $100.00 per hour
Rate basis: Competitive hourly rate based on experience

Technologies

Work may involve Python, OpenAI, Anthropic, Google Gemini, Azure OpenAI, LangGraph, CrewAI, AutoGen, MCP, Semantic Kernel, REST APIs, Microsoft 365, ERP, CRM, Azure, AWS, and Google Cloud, along with LLMs, Generative AI, Agentic AI, Multi-Agent Systems, and AI automation.

About Transformativ, LLC

Transformativ is an AI-first consulting firm specializing in business transformation through Generative AI, Agentic AI, LLMs, intelligent automation, and autonomous multi-agent systems. The company partners with private equity firms and mid-market enterprises to redesign business processes, eliminate manual work, and deploy production-ready AI solutions that deliver measurable business value.

Preferred Experience

LangGraph, CrewAI, AutoGen, MCP, Semantic Kernel, or similar orchestration frameworks
Cloud platforms including Azure, AWS, or Google Cloud
Experience in healthcare, manufacturing, supply chain, finance, procurement, or private equity
AI governance, security, evaluation, and responsible AI practices
Technical leadership or consulting experience

Role Focus and Collaboration

This position is centered on building real-world AI systems that automate business processes using modern LLM capabilities, autonomous agents, and enterprise integrations. The AI Engineer works directly with executives and client teams to architect, build, and deploy AI solutions into production, supported by technical design leadership and collaboration.

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2d ago

Sr. Machine Learning Engineer

AppFolio Atlanta, GA

Atlanta, GA

2d ago

$167k - $209k/yr Full time Senior Agentic Ai Artificial Intelligence

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Job Description

AppFolio is seeking a Senior Machine Learning Engineer to design and ship voice and conversational AI agents within Realm-X. This role will define production-grade voice and chat agent pipelines, with a focus on balancing LLM reasoning quality against low-latency streaming across multi-channel customer experiences.

Responsibilities

Architect and deliver voice and text agent pipelines for real-time, multi-turn customer interactions.
Evaluate and implement principled trade-offs between reasoning depth and latency using frontier LLMs, smaller models, and routing strategies.
Lead a small pod of ML and platform engineers, strengthening standards for agent evaluation, observability, and incident response.
Collaborate with Product and Voice channel teams to define KPIs, build evaluation harnesses, and establish agent acceptance criteria focused on quality.
Drive selective Small Language Model (SLM) fine-tuning and inference optimization to improve voice latency and control cost.

Requirements

Deep, production experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or equivalent agent frameworks).
Hands-on experience with voice systems, including Voice-to-Voice models and traditional TTS/STT pipelines, with clear understanding of end-to-end voice models versus modular STT LLM TTS architectures.
Strong knowledge of LLM reasoning behavior, tool use, structured output, and reasoning-versus-latency trade-offs across model providers.
Production experience with Twilio (or comparable telephony) and AWS.
Expertise in Python, async programming, and WebSockets to support real-time, bidirectional streaming.
Solid foundation in deep learning, model evaluation, and inference optimization, including the ability to deploy with Docker on AWS.
Proven ability to lead a small team, mentor engineers, and partner credibly with Product and Design.
Demonstrated experience shipping production AI agents serving real users in voice and/or text channels.
Systems thinking, with the ability to reason about pipelines and end-to-end behavior beyond model development.
Ability to move quickly while maintaining sound engineering judgment.
Collaborative, low-ego working style, focused on elevating teammates.
Values work-life balance as a foundation for sustained high performance.

Technologies

LangChain, LangGraph, LangSmith, LangChain Deep Agents
Voice-to-Voice models, TTS, STT
Twilio, AWS
Python, async programming, WebSockets
Docker
LLM, Small Language Model (SLM)
RAG

Benefits

Regular full-time employees are eligible for benefits
#LI-KB1

Nice to Have

Experience fine-tuning Small Language Models for domain-specific voice applications.
Familiarity with RAG over structured business data and tool-using agents over API surfaces.
Prior experience in regulated or customer-facing industries with strict reliability requirements.
Publicly verifiable work on GitHub, in open-source agent frameworks, or in community competitions.

Location

Atlanta, GA (onsite)

Find out more about our locations by visiting our site.

Compensation & Benefits

The compensation that we reasonably expect to pay for this role is USD 167,200 - 209,000 base pay.
The actual compensation will be determined by factors including skills, education, experience, and internal equity.
Compensation is one component of a comprehensive Total Rewards package.
The compensation range does not include additional benefits or any discretionary bonuses that may be available based on role and/or employment type.

Regular full-time employees are eligible for benefits - see here.

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2d ago

Principal AI Engineer, Applications

Granicus Remote 🌍 Remote

Remote

2d ago

$165k - $205k/yr Full time Backend Developer Manager AI

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Job Description

Granicus is hiring a Principal AI Engineer, Applications to help turn AI data and agent capabilities into secure, scalable, production-ready applications and workflows. This role owns architecture and hands-on development across the application layer, partnering with platform and business teams to deliver dependable user-facing experiences.

What you’ll do

Architect, build, deploy, and operate full-stack internal AI applications that combine agents, trusted business data, workflow automation, and human decision-making.
Move AI prototypes and agent capabilities into durable, repeatable workflows that teams across the business can adopt, partnering with the AI Transformation & Strategic Operations team to translate process maps, user needs, business rules, and operating constraints into applications.
Collaborate with the Principal AI Engineer, Platform to integrate applications with Granicus systems including the lakehouse, canonical metric layer, trusted data services, reusable agents, and evaluation systems, including co-design of end-to-end system architecture and clear ownership boundaries between the data and agent platform and the app layer.
Own application-level authentication and authorization, working with Security, Legal, Business Systems, and Engineering to translate policies and risk requirements into enforceable application controls.
Build and maintain application and workflow integrations with enterprise systems and systems of record.
Instrument applications to measure adoption, engagement, workflow completion, cycle time, and other operational indicators, and connect product telemetry to business outcomes in partnership with the AI Transformation & Strategic Operations team.
Establish reusable application patterns, templates, components, APIs, and development practices to help Granicus deliver internal AI applications more quickly and consistently.
Take responsibility for Granicus information security by preserving the Confidentiality, Integrity, and Availability (CIA) of Granicus information assets in accordance with the company’s information security program.
Ensure data privacy for employees and customers, their data, and complete all required privacy training in a timely manner according to company policies.

Required qualifications

7+ years of software engineering experience, including ownership of production applications.
Experience architecting and building full-stack applications, backend services, and APIs.
Experience integrating applications with enterprise systems of record.
Experience implementing enterprise identity and authorization.
Demonstrated ability to set technical direction and operate engineering work end-to-end as a senior individual contributor.
Hands-on familiarity with LLMs, agents, or retrieval systems through production work, prototypes, or internal tools.
Track record of translating ambiguous business problems into usable technical solutions.
Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Technologies you’ll work with

LLMs, agents, retrieval systems
APIs
Lakehouse, canonical metric layer, trusted data services
Reusable agents, evaluation systems
Identity and authorization

Location and compensation

Location: Remote
Salary: USD 165,000 - 205,000 per year

Benefits

Flexible Time Off
Company-Wide Wellbeing Days
Work From Home Reimbursement
Multiple Health Plan Options (including a 100% employer-paid plan)
Employer HSA Contributions
Fitness Reimbursement Program
On-Demand Mental Health Support (Access to Headspace and other wellness tools)
Paid Parental Leave (for both birthing and non-birthing parents)
Traditional & Roth 401(k) (with a generous company match)
Life & AD&D Insurance (100% employer-paid coverage)
Online Learning Platforms
Competitive Salary & Bonuses

Team and culture

Remote-first company with a globally distributed workforce across the United States, Canada, United Kingdom, India, Armenia, Australia, and New Zealand.
Focus on building a transparent, inclusive, and safe space, including Employee Resource Groups.
“Coffee with Mark” sessions to interact with the CEO on topics that include mental health, work-life balance, and current affairs.
Microsoft Teams communities focused on wellness, art, furbabies, family, parenting, and more.
Special guests join from time to time to discuss issues that impact the employee population.

Equal opportunity employer

Granicus is committed to providing equal employment opportunities. All qualified applicants and employees will be considered for employment and advancement without regard to protected characteristics, including race, color, religion, creed, national origin, ancestry, sex, gender, gender identity, gender expression, disability, age, genetic information, sexual orientation, marital status, status with regard to public assistance, familial status, military or veteran status, and any other status protected by law.

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Llm Agents Engineer Jobs

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