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3 jobs found

Today

Senior Machine Learning Engineer

Motion Recruitment Boston, MA

Boston, MA

Today

Full time Senior Agentic Ai Ai Agent

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Job Description

Motion Recruitment is hiring a Senior Machine Learning Engineer for a Boston-based hybrid team. In this hands-on role, you will help shape scalable AI platforms and advanced agent-based systems, with an emphasis on production-ready autonomous workflows and LLM and retrieval-augmented generation (RAG) capabilities for enterprise products.

Working within a cross-functional engineering environment, you will design and evolve machine learning services and platform components that support reliable, secure AI in production.

What you’ll do

Operate in a highly hands-on engineering capacity across AI and ML development
Create, productionize, and maintain sophisticated AI and ML capabilities for enterprise research applications
Architect and enhance distributed machine learning services and scalable platform components
Build agentic applications, semantic retrieval pipelines, and orchestration frameworks that support them
Collaborate with software, platform, and security teams to deliver AI systems that are dependable, secure, and high-performing

Skills and qualifications

Deep knowledge of machine learning systems and autonomous agent design
Hands-on experience building LLM applications and retrieval-augmented generation solutions
Practical experience with vector search technologies and vector data stores
Familiarity with production ML operations, including monitoring and deployment practices
Strong Python development skills
Working knowledge of AWS infrastructure and Kubernetes environments

Technologies

Python
AWS
Kubernetes
Vector search technologies
Vector data stores
LLM applications
Retrieval-augmented generation (RAG)
Large language model applications

Education and experience

Minimum experience: 8 years
Education: Bachelor’s degree or higher in computer science, engineering, data science, or a related discipline
Preferred background: experience delivering software for legal technology, compliance, financial services, or another regulated domain
Preferred experience: at least 12 years of software engineering experience, or 8 or more years combined with a PhD

Compensation and benefits

Comprehensive medical coverage
Dental insurance
Vision insurance
Paid vacation and personal time
401(k) retirement plan with employer match, where offered
Performance-based bonus eligibility

Location and work authorization

Location: Boston, MA (hybrid)
Hybrid schedule in Boston, Massachusetts
Candidates must be authorized to work full-time in the United States both now and in the future

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Today

AI engineer

Robotics Technologies Dallas, TX

Dallas, TX

Today

Full time Agentic Ai Ai Agent Ai Engineer

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Job Description

Robotics Technologies is hiring an AI Engineer for an onsite role in Dallas, TX focused on turning AI/ML and LLM or agentic ideas into working prototypes and deployable solutions. The work blends research and evaluation with hands-on cloud-based architecture and workflows, including validating performance, safety, and operational readiness.

What you’ll do

Lead R&D on AI/ML technologies and architectures, applying the right approach for the use case.
Deploy AI/LLM and agentic applications to support proof-of-concept demonstrations, then help scale successful efforts toward production.
Explore and implement traditional AI, Gen AI, and Agentic AI techniques.
Keep up with evolving AI trends and evangelize emerging technologies internally.
Evaluate and pilot third-party AI solutions to assess scalability and business value.
Prototype solutions to guide future productization.
Collaborate on data preparation and synthetic data generation strategies.
Validate model performance, safety, and operational readiness.
Contribute to AI system architecture and manage cloud workflows.
Collaborate with AI Business Partners throughout development and delivery.

Skills and requirements

Python, plus experience using APIs, ML frameworks, and AI tooling.
Familiarity with AI tools such as GitHub Copilot, Codex, Claude Code, LangChain, ADK, ChatGPT, and MS Copilot.
Experience with LLMs including OpenAI GPTs, Google AI, and Claude.
Experience working with embeddings and vector databases.
Ability to build and manage API integrations.
Core competencies in Prompt Engineering, Model Evaluation & Design, and AI Architecture Design.
Knowledge of data preparation and generation, including synthetic data approaches.
Cloud experience with AWS and GCP.

Role details

Location: Dallas, TX (onsite)
Duration: 12 Months + Extension
Pay: Hourly rate depending on experience (DOE)
Work authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
Employment type: W-2, 1099, C2C
Job ID: J53169
Client: To Be Discussed Later

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4d ago

Associate Data Scientist

Keck Medical Center of USC Los Angeles, CA

Los Angeles, CA

4d ago

$100k - $114k/yr Full time Agentic Ai Artificial Intelligence Data

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Job Description

The Associate Data Scientist role supports the USC Institute of Urology AI Center with the design, development, testing, and deployment of agentic AI workflows in a healthcare environment. The position works closely with clinicians, researchers, and engineers to translate clinical and operational needs into AI-driven solutions.

Key Responsibilities

Support the design, development, testing, and deployment of agentic AI workflows in healthcare settings.
Contribute to multi-step, API-driven workflows that execute tasks through APIs and internal databases.
Integrate multi-modal data sources, including building and normalizing multiple data modalities to support workflow execution.
Ensure reliability and traceability through RAG and grounding controls that support traceability and reduce unsupported outputs.
Design, troubleshoot, and refine Agentic AI workflows and AI Agents that augment existing healthcare applications.
Collaborate with clinicians, researchers, and operational stakeholders to translate needs into deliverables that are safe, testable, and measurable.
Follow established USC and department policies, procedures, objectives, performance improvement, attendance, safety, environmental, and infection control guidelines, including adherence to the workplace Code of Conduct and Compliance Plan.

Required Qualifications

BS/MS in Computer Science, Engineering, or equivalent practical experience.
Strong programming skills in Python and SQL, experience with GitHub, and familiarity with machine learning frameworks such as PyTorch and TensorFlow.
Full stack software development experience, including JavaScript, Node.js, QT, or similar.
Demonstrated experience building and deploying LLM applications beyond prototypes, including tool/function calling, workflow orchestration, structured outputs, and validation.
Experience implementing grounding/retrieval and reliability evaluation, including test cases, regression checks, and monitoring; familiarity with security and privacy best practices for sensitive data.

Technologies

Python, SQL, GitHub, PyTorch, TensorFlow
JavaScript, Node.js, QT
LLM applications, tool/function calling, workflow orchestration, structured outputs, validation
Grounding/retrieval, RAG
Test cases, regression checks, monitoring
AWS, Azure, GCP, n8n
LangChain, LangGraph, AutoGen, CrewAI
Multi-agent systems, Reinforcement Learning

Preferred Qualifications

Experience integrating structured and unstructured data to support workflow automation, including multimodal inputs where applicable.
Multi-step workflow design with escalation and human-in-the-loop safeguards.
Agentic AI workflow implementation and AI Agent design using n8n, LangChain, LangGraph, AutoGen, CrewAI, or similar.
Cloud deployment and secure operations experience (AWS/Azure/GCP), including APIs.
Multi-agent systems planning and Reinforcement Learning fundamentals.
Lightweight fine-tuning or adaptation experience.

Minimum Requirements

Education: Bachelor's degree (minimum).
Experience: 2 years (minimum).

Additional Skills and Knowledge

Experience using statistical computer languages (for example, R, Python, SQL) to manipulate data and draw insights from large datasets.
Experience creating data models and data architecture, plus familiarity with data visualization tools such as Tableau, ArcGIS, or D3.js.
Knowledge of data modeling tools and machine learning techniques including clustering, decision-tree learning, and artificial neural networks.
Ability to script and program in several languages using common data science toolkits.
Proficiency with query languages such as SQL and MDX, and experience with relational (for example, MySQL, SQL Server, Oracle, Snowflake, Redshift) and non-relational databases (for example, Mongo, NoSQL).
Knowledge of applied statistical concepts and techniques including distributions, statistical testing, and regression.
Excellent written and oral communication skills, including the ability to provide both detailed information and summaries to management-level groups.
Experience developing customer relationships and delivering customer-focused service.
Strong problem-solving and decision-making skills, including the ability to identify root cause and evaluate solution options.

Location and Work Arrangement

On-site role in Los Angeles, CA, at the USC Health Science Campus.
Work hours and on-site days may change based on business needs.

Compensation

USD 99,823 - 113,589 per year.

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