Real Time Ai

Real Time Ai Engineer Jobs

2 jobs found

Today

AI/ML Software Engineer

Envision Technology, LLC Londonderry, NH

Londonderry, NH

Today

Full time Artificial Intelligence Automation Data & Ai

Apply Now

Job Description

Envision Technology, LLC is seeking an AI/ML Software Engineer to develop, adapt, and optimize image recognition capabilities for tactical use, with deployment targeted to embedded and edge hardware. The role emphasizes high-confidence computer vision performance that remains reliable in real-world operating conditions.

Responsibilities

Assess, modify, and optimize existing image recognition algorithms, including object detection, semantic segmentation, and tracking approaches (such as YOLOv8, Mask R-CNN, and DeepSORT) for execution on embedded or edge computing platforms.
Design and implement synthetic labeled training datasets to strengthen robustness across different environmental and operational conditions.
Create synthetic imagery using physics-based modeling approaches, including illumination, material properties, sensor characteristics, and atmospheric effects, to better match actual optical sensor performance.
Measure and validate model performance using quantitative evaluation methods such as precision, recall, confusion matrices, and confidence intervals to support deployment readiness.
Partner with algorithm developers, hardware engineers, and system integrators to align AI performance with mission requirements and hardware constraints.
Monitor emerging AI/ML methods and edge-deployment frameworks to improve efficiency and system capability.

Required Qualifications

Bachelor’s degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related field.
Proficiency with modern machine learning frameworks, including PyTorch, TensorFlow, and/or ONNX.
Experience with computer vision libraries and tools such as OpenCV, NVIDIA TensorRT, and/or OpenVINO.
Strong programming skills in Python and/or C++.
Experience deploying models on embedded or edge hardware, including NVIDIA Jetson, Intel NUC, or AMD Ryzen Embedded.
Ability to assess and refine algorithmic performance using quantitative evaluation techniques.

Technologies

PyTorch, TensorFlow, ONNX
OpenCV
NVIDIA TensorRT, OpenVINO
Python, C++
NVIDIA Jetson, Intel NUC, AMD Ryzen Embedded
YOLOv8, Mask R-CNN, DeepSORT

Desired Qualifications

Master’s degree in a relevant discipline or 5+ years of applied AI/ML development experience focused on imaging, optical, or sensor-based systems.
Background in optical physics, radiometry, or computer graphics-based image synthesis.
Experience generating physics-based synthetic imagery using tools such as Blender, Unreal Engine, or custom rendering pipelines.
Understanding of sensor modeling and the integration of physics-based parameters, such as MTF, SNR, contrast, and spectral response.
Familiarity with MLOps tools for versioning, data curation, and training pipeline automation.

Benefits

401(k)
Dental insurance
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid parental leave
Paid time off
Parental leave
Tuition reimbursement
Vision insurance

Additional Information

Applicant must be a US Person.
Candidates should have the aptitude and motivation to contribute proactively in a startup culture from day one and grow with the company.
Brief travel within the US to customer locations may be required occasionally to support product testing or design reviews.

Job Details

Job type: Full-time
Work location: In person
Location: Londonderry, NH (onsite)

View full job page →

4d ago

Sr. Machine Learning Engineer

AppFolio Columbus, OH

Columbus, OH

4d ago

$167k - $209k/yr Full time Senior Agent Orchestration Agentic Ai

Apply Now

Job Description

AppFolio is hiring a Sr. Machine Learning Engineer in Columbus, OH to help design and deliver voice and conversational AI agent pipelines within Realm-X. The role centers on low-latency, multi-channel experiences that combine LLM agent frameworks, real-time voice capabilities, and streaming infrastructure.

What you will do

Architect and ship voice and text agent pipelines for real-time, multi-turn customer conversations.
Make well-reasoned trade-offs between reasoning depth and latency across frontier LLMs, smaller models, and routing strategies.
Lead a small pod of ML and platform engineers, raising the bar across agent evaluation, observability, and incident response.
Work with Product and Voice channel teams to define KPIs, build evaluation harnesses, and establish agent quality acceptance criteria.
Drive selective Small Language Model (SLM) fine-tuning and inference optimization to improve voice latency and reduce cost.

What you bring

Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or equivalent agent frameworks).
Hands-on experience with Voice-to-Voice models and traditional TTS/STT pipelines, including understanding the trade-offs between end-to-end voice models and modular STT LLM TTS architectures.
Strong understanding of LLM reasoning behavior, tool use, structured output, and reasoning-vs-latency trade-offs across providers.
Production experience with Twilio (or comparable telephony) and AWS.
Expert Python, async programming, and WebSockets for real-time, bidirectional streaming.
Solid foundation in deep learning, model evaluation, and inference optimization, including deployment with Docker on AWS.
Proven ability to lead a small team, mentor engineers, and partner effectively with Product and Design.
Experience shipping production AI agents serving real users in voice and/or text channels.
Systems-oriented thinking (pipelines and architecture, not only models) plus fast execution with sound engineering judgment.
Collaborative, low-ego approach that elevates others, with an emphasis on sustainable work-life balance.

Technologies

LangChain, LangGraph, LangSmith, LangChain Deep Agents
Voice-to-Voice models, TTS, STT
Twilio, AWS
Python, WebSockets
Docker

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, open-source agent frameworks, or in community competitions.

Location

Columbus, OH (onsite).

Find out more about locations by visiting the company site. All late-stage candidates complete an in-person meeting with an AppFolian as part of the hiring process.

Compensation & benefits

Salary range: USD 167,200 - 209,000 per year (base pay).
The actual compensation will be determined by factors including skills, education, experience, and internal equity.
Regular full-time employees are eligible for benefits.

#LI-KB1

View full job page →

Real Time Ai Engineer Jobs

AI/ML Software Engineer

Sr. Machine Learning Engineer

Get Real Time Ai Engineer Jobs alerts