Generative Ai Platform

Generative Ai Platform Data Jobs

23 jobs found

Today

AI Engineer

LTM Southlake, TX

Southlake, TX

Today

$108k - $113k/yr Full time Backend Developer Agent Orchestration Agentic Ai

Apply Now

Job Description

LTM is hiring an AI Engineer to design and deliver enterprise agentic AI systems with a focus on scalable architecture and secure integration. The role centers on building autonomous multiagent workflows and governing their deployment end to end within a strict CI/CD environment on Google Cloud.

Based in Southlake, TX (hybrid, 3 days), this position is suited for an experienced engineer who can turn complex agent orchestration into reliable production-grade applications, while actively monitoring performance and controlling token and cost spend.

Responsibilities

Design and build production-grade Python applications using orchestration frameworks such as LangChain, LangGraph, and CrewAI for autonomous multiagent systems, including stateful reasoning and complex RAG (Retrieval-Augmented Generation) workflows.
Deploy, scale, and govern AI agents using the Google Cloud Gemini Enterprise Agent Platform through the Vertex AI Agent Builder ecosystem, including Agent Development Kit (ADK) code-first deployment, Agent Engine stateful runtimes, and Agent Studio for prototyping.
Implement secure inter-agent collaboration and data access by using Agent2Agent (A2A) and the Model Context Protocol (MCP), connecting agentic workflows to enterprise databases, remote MCP servers, and third-party workflow APIs.
Monitor agent behavior and optimize LLM prompt structures, context windows, and caching mechanisms to improve reasoning efficiency while minimizing token usage and operational costs.
Design and maintain hybrid search using Vertex AI Vector Search and Vertex AI Search to ground decisions in authoritative enterprise data, including local files and external specialized data sources.
Architect decentralized agent systems under zero-trust principles, enforcing data privacy protections with Vertex AI Model Armor to prevent prompt injections and managing permissions securely through Agent Identity and Google Cloud IAM.
Build and maintain robust CI/CD pipelines to automate testing, versioning, and deployment of agentic systems, using Vertex AI Agent Engine runtime tracing, logging, and Unified Trace Viewers to debug complex reasoning loops in production.

Requirements

Strong mastery of Python and standard enterprise software design patterns.
Deep hands-on experience building complex, production-ready agentic workflows with LangChain, LangGraph, CrewAI, or Google’s native Agent Development Kit (ADK).
Proven expertise with Gemini Enterprise Agent Platform and Vertex AI Agent Builder, including GKE (Google Kubernetes Engine), Cloud Run, and IAM.
Familiarity with modern agent communication standards such as MCP and A2A.
Strong understanding of Vertex AI Vector Search or standalone vector databases, including semantic search, metadata filtering, and embedding lifecycle management.
Proficiency with modern CI/CD tools such as GitHub Actions, GitLab CI, and containerization using Docker and Kubernetes (Docker/Kubernetes).
5 years of software engineering experience, with at least 2/3 years dedicated to building and deploying AI/LLM-powered applications and agentic systems at enterprise scale.
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related technical field, or equivalent practical experience.

Technologies

Python
LangChain, LangGraph, CrewAI
Gemini Enterprise Agent Platform, Vertex AI, Vertex AI Agent Builder
Agent Development Kit (ADK), Agent Engine, Agent Studio
Agent2Agent (A2A) protocol, Model Context Protocol (MCP)
Vertex AI Vector Search, Vertex AI Search, Vertex AI Model Armor
Agent Identity, Google Cloud IAM
Vertex AI Agent Engine Runtime, Unified Trace Viewers
GitHub Actions, GitLab CI, Docker, Kubernetes (GKE)
Cloud Run

Benefits

Comprehensive Medical Plan (Medical, Dental, Vision)
Short Term and Long-Term Disability Coverage
401(k) Plan with Company match
Life Insurance
Vacation Time, Sick Leave, Paid Holidays
Paid Paternity and Maternity Leave

Employment type: Full-Time

Compensation range: USD 107,720 - 112,720 per year

Location: Southlake, TX (hybrid, 3 days)

Mandatory skills: MLOPS, Python

View full job page →

2d ago

Senior Machine Learning Engineer

Motion Recruitment Providence, RI

Providence, RI

2d ago

Full time Senior Agentic Ai Ai Agent

Apply Now

Job Description

Motion Recruitment is hiring a Senior Machine Learning Engineer to lead hands-on technical work in Providence, RI on a hybrid schedule. In this role, you will help transform emerging AI concepts into durable, large-scale capabilities used in real product experiences, with a focus on generative AI, semantic search, retrieval frameworks, and multi-step agent workflows.

What you will deliver

100% hands-on technical contribution, from designing solutions to building and releasing AI features.
Develop and ship AI capabilities that improve how professionals discover, evaluate, and use complex information.
Create scalable services and shared infrastructure that support distributed machine learning applications.
Build retrieval pipelines, agent orchestration, and supporting components for generative AI products.
Collaborate with application, cloud, data, and security teams to meet performance, reliability, and governance requirements.

Core qualifications

Extensive experience designing and delivering applied machine learning solutions.
Proven ability to build systems powered by large language models and AI agents.
Strong understanding of retrieval-augmented generation, embeddings, and vector-based search.
Experience supporting model delivery using MLOps tooling and production practices.
Advanced Python programming ability.
Experience deploying cloud-native services with AWS and Kubernetes.
Prior work in legal technology, knowledge management, publishing, or another information-rich industry.
12+ years of software development experience, or 8+ years plus a doctorate.
A degree in computer science, machine learning, engineering, or a comparable technical field.

Tools and technologies

Python
AWS
Kubernetes
MLOps
Large language models
AI agents
Retrieval-augmented generation
Embeddings
Vector-based search

Benefits

Performance bonus eligibility
Medical insurance options
Dental coverage
Vision coverage
Paid time away from work
401(k) plan with company matching when applicable

This opportunity follows a hybrid work model in Providence, Rhode Island.

View full job page →

2d ago

Lead Machine Learning Engineer

Motion Recruitment Raleigh, NC

Raleigh, NC

2d ago

Full time Manager Agentic Ai Ai Agent

Apply Now

Job Description

Motion Recruitment is hiring a Lead Machine Learning Engineer in Raleigh, NC to help architect scalable AI and agentic platform capabilities for a global AI platform powering LLM-powered research assistants, retrieval systems, and enterprise-grade agent workflows. In this role, you will shape AI platform strategy, technical standards, and governance so the systems operate reliably at scale while aligning with responsible AI principles.

What you’ll do

Architect scalable AI platforms, including defining a reference architecture for LLM, ML, and agent-based systems across products
Design high-availability, low-latency inference platforms for global scale
Establish reusable platform components to support the model lifecycle, deployment, and monitoring
Architect multi-step, reasoning-driven agent systems
Design orchestration patterns for tool use, API invocation, and structured function calling
Lead implementation and governance of Model Context Protocol (MCP) servers to standardize tool integration and context management
Define guardrails, permissions, and audit mechanisms for enterprise-safe AI systems
Set best practices for MLOps, CI/CD, observability, and system reliability
Embed Responsible AI principles across platform architecture
Mentor senior engineers and influence technical direction across teams

Required experience and education

10+ years of experience with a Master’s degree, or 12+ years of experience with a bachelor’s degree
10+ years building production-grade ML systems at scale
Extensive experience with LLMs, generative AI, and RAG systems in real-world deployments
Proven expertise designing distributed systems in cloud environments (AWS, Azure, or GCP)
Hands-on experience with Kubernetes, containerization, and scalable inference systems
Experience designing agentic systems and tool orchestration frameworks
Experience implementing or governing MCP servers or structured tool-calling architectures
Strong Python engineering background
Experience with vector databases and search systems
Deep understanding of model evaluation, reliability, and monitoring
Strong architectural judgment and systems thinking
Leadership experience influencing technical direction across teams
Strong communication skills and executive presence
Experience mentoring senior engineers or leading cross-functional initiatives

Technologies

LLMs, RAG systems, Python
AWS, Azure, GCP
Kubernetes, containerization
Model Context Protocol (MCP)
Vector databases, search systems
MLOps, CI/CD, observability

View full job page →

2d ago

Founding AI Engineer

Motion Recruitment Charlotte, NC

Charlotte, NC

2d ago

Full time Agentic Ai Orchestration Artificial Intelligence Data Analysis

Apply Now

Job Description

As a Founding AI Engineer, you will help a Charlotte-based real estate investment and development firm architect and own its AI infrastructure from the ground up. This is an on-site role (5 days/week) focused on building and scaling AI systems that support investment analysis, asset management, acquisition workflows, and operational decision-making.

Responsibilities

Architect and build RAG pipelines, multi-agent frameworks, and fine-tuned models from scratch.
Design evaluation loops to measure LLM accuracy, hallucinations, latency, and cost.
Own production infrastructure, including API integrations, streaming responses, data processing, and system safety guardrails.
Build and scale AI systems that support deal sourcing, investment analysis, and asset management workflows.
Integrate AI tools with existing platforms, databases, and internal systems.
Define and own the AI technical vision from day one, including architecture, delivery, iteration, and scale.
Partner directly with firm leadership to identify automation opportunities and translate business needs into production solutions.

Required Skills and Qualifications

Python
LLM APIs (OpenAI, Anthropic, Google, etc.)
RAG pipeline development
Multi-agent frameworks (LangChain, LangGraph, CrewAI, or similar)
API integration and production infrastructure experience
SQL and database knowledge
Cloud platforms (AWS, Azure, or GCP)

Technologies

Python, OpenAI, Anthropic, Google
RAG, LangChain, LangGraph, CrewAI
SQL
AWS, Azure, GCP
Pinecone, Weaviate, pgvector

Role Focus and Time Allocation

70% AI System Development & Production Infrastructure
20% Evaluation, Testing & Optimization
10% Stakeholder Collaboration & Technical Strategy
100% Hands On

Education and Experience

3+ years of software or AI engineering experience
BS or MS in Computer Science, Engineering, or related field
Experience building and evaluating LLM systems in production

Additional Desired Skills

Model evaluation frameworks covering accuracy, hallucination, latency, and cost
Experience in finance, real estate, or investment management environments
Comfort working directly with executives and non-technical stakeholders
Self-starter who can independently own a technical roadmap

Benefits

Competitive Base Salary + Performance Bonus
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
Equity / Long-Term Incentive Potential

Location and Work Model

Charlotte, NC (onsite), 5 days/week.

View full job page →

3d ago

Senior AI Engineer

Motion Recruitment Pleasanton, CA

Pleasanton, CA

3d ago

$210k - $263k/yr Full time Agentic Ai Agentic Ai Orchestration Ai Agent

Apply Now

Job Description

Motion Recruitment is seeking a Senior AI Engineer to lead the development, implementation, and productionization of advanced AI solutions for a fintech AI platform. The role works closely with product and engineering teams to deliver scalable, AI-driven capabilities while keeping the platform aligned with emerging AI technologies.

Role Overview

In this position, you will bring proven market AI models into production environments and help ensure AI features are reliable, efficient, and maintained over time. You will also collaborate across functions to integrate AI systems into existing products and workflows.

Key Responsibilities

Use best-in-class market AI models to build and deploy solutions, moving work from concept through production for a diverse client base.
Integrate advanced AI models and systems into existing products and operational workflows.
Design scalable AI systems, including model orchestration, caching strategies, and fallback procedures.
Monitor emerging AI technologies and incorporate relevant improvements to keep the platform current and innovative.
Partner cross-functionally to support robust and efficient implementation of AI systems.

Required Qualifications

4+ years experience as a Full Stack Software Engineer (or similar), delivering, shipping, and testing enterprise-grade software.
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
Hands-on experience with production-level LLM APIs such as OpenAI, Anthropic, or Google, including strengths in rate-limiting, cost-effectiveness, and real-time performance monitoring.
Strong background using data pipelines and ETL/ELT processes to support AI workflows.
Demonstrated production experience using frameworks such as RAG to enhance proprietary data models.
Practical experience testing AI systems, including model evaluation, A/B testing, and post-deployment performance monitoring.

Technologies

OpenAI, Anthropic, Google
LLM APIs
ETL/ELT
RAG
A/B testing

Location and Work Setup

Pleasanton, CA (hybrid). In-office presence is required at least 3 days per week for commutable candidates.

Compensation and Benefits

Salary: USD 210,000 - 263,000 per year
Hybrid work environment
Bonus and incentive programs
Comprehensive benefits and wellness initiatives

Desired Skills and Additional Experience

Exposure to network appliances such as firewalls, routers, and load balancers is a plus.
Familiarity working in fast-paced, high-growth environments.

View full job page →

3d ago

AI Engineer

Morgan Stanley New York, NY

New York, NY

3d ago

$120k - $165k/yr Full time Backend Developer Agentic Ai Agentic Ai Orchestration

Apply Now

Job Description

Join Morgan Stanley’s Advanced Analytics, Machine learning and Gen AI Platform teams as an AI Engineer (Software Engineering III, Director level) in New York, NY (onsite). In this role, you’ll help build and deploy AI agents at scale using LLMs and reasoning models, supporting technology and business roadmaps with practical, production-oriented engineering across agent accuracy guardrails, calibration scoring, and cloud-ready architecture.

Compensation: USD 120,000 - 165,000 per year. Experience: 2+ years.

What you’ll do

Operate as a hands-on catalyst for building and deploying AI Agents at scale to accelerate technology and business roadmaps.
Evaluate state-of-the-art GenAI technologies and prototype solutions to improve the organization’s architecture and platform.
Design, implement, and operationalize distributed, scalable, and reliable data flows that ingest, process, store, and enable access to data at scale for batch and real-time use by AI agents.

What you’ll bring

2+ years of experience building GenAI solutions and supporting components across design, architecture, development, and operationalization of agent orchestrations at scale.
Strong proficiency with agent orchestration frameworks, including LangChain, LangGraph, CrewAI, and Microsoft’s AutoGen for multi-agent workflows.
Deep expertise in LLM APIs such as OpenAI, Anthropic, and AWS Bedrock, including prompt engineering (Chain-of-Thought) and fine-tuning for specific agent behaviors.
Ability to implement complex memory and context systems, including vector databases (Pinecone, Weaviate) and Retrieval-Augmented Generation (RAG) pipelines.
Proficiency integrating external APIs as agent tools, including function calling and error handling for malformed model outputs.
Expert-level Python (mandatory), commonly paired with FastAPI, Node.js, or Go.
Familiarity with Docker and Kubernetes for containerized deployment.
Comfort working in a fast-paced and dynamic environment, with good written and verbal communication skills.
Ability to work with limited or no supervision, share knowledge across team members, and manage time collaborating with a global team across multiple initiatives.

Key technologies you’ll work with

LLMs and reasoning models, LangChain, LangGraph, CrewAI, Microsoft AutoGen
OpenAI, Anthropic, AWS Bedrock
Chain-of-Thought, fine-tuning, RAG, function calling
Vector databases: Pinecone, Weaviate
Python, FastAPI, Node.js, Go
Docker, Kubernetes, and cloud adoption

View full job page →

3d ago

Lead Data Scientist

Motion Recruitment Boston, MA 🇺🇸 Remote

Boston, MA

3d ago

Contract Manager Advanced Analytics Agentic Ai

Apply Now

Job Description

6-month remote contract-to-hire opportunity in Boston, MA with an emphasis on technical leadership and enterprise-scale AI delivery. You will guide the design and deployment of advanced AI systems while hands-on work makes up 65% of the role, supported by mentorship, collaboration, and strategy contributions.

What you’ll do

Lead the design and deployment of advanced AI systems across enterprise-scale environments.
Set and champion best practices for AI development within the team.
Mentor team members and contribute to day-to-day technical growth (15% Leadership & Mentorship).
Collaborate with leadership on AI strategy and planning (20% Team Collaboration).
Drive adoption of LLMs, RAG, and agentic AI across enterprise platforms.
Stay hands-on with implementation and engineering execution (65% Hands On).

Core responsibilities focus

40% LLMs, RAG, and Generative AI
25% Machine Learning and NLP
20% Agentic AI and Intelligent Automation
15% Technical Leadership and AI Strategy

Requirements

Bachelor’s degree required; Master’s degree preferred
8+ years of experience in Data Science, Machine Learning, Applied AI, or related fields
Strong hands-on experience designing and deploying Retrieval-Augmented Generation (RAG) systems
Strong experience with Large Language Models (LLMs) and Generative AI applications
Expertise in machine learning, NLP, and information retrieval techniques
Experience building and deploying production AI/ML systems at scale
Python programming skills
Experience working with distributed systems and cloud-based AI environments
Deep understanding of agentic AI architectures and autonomous workflows
Proven ability to lead technical initiatives and influence AI strategy
Excellent communication, stakeholder management, and problem-solving skills

Desired skills and additional experience

Experience leading enterprise-scale AI platform initiatives
Familiarity with vector databases and semantic search technologies
Knowledge of legal, regulatory, or document-intensive data environments
Experience with model evaluation, monitoring, governance, and optimization
Exposure to workflow automation and intelligent agent frameworks
Experience mentoring Data Scientists and Machine Learning Engineers
Advanced degree in Data Science, Computer Science, Machine Learning, or a related field

Technologies you’ll work with

Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG)
Machine Learning, NLP, information retrieval techniques
Agentic AI architectures, autonomous workflows
Python, distributed systems, cloud-based AI environments