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Remote Algorithmic Trading Software Developer Jobs in Tennessee

Barn2Door

Sr Software Engineer

Nashville, TN · On-site +1

$118K - $156K/yr

Overview As a Senior Software Engineer, you are expected to provide critical thinking, a high ... Deep understanding of software design principles, algorithms, data structures, and asynchronous ...

i3 Verticals

Lead Software Engineer

Nashville, TN · Remote

Remote TRAVEL: Occasional for conferences, strategic planning sessions, and key stakeholder ... Proficiency with DevOps tooling (Git, CI/CD, Config, Observability), containerization, and ...

i3 Verticals

Senior Software Engineer

Nashville, TN · Remote

$118K - $156K/yr

Remote TRAVEL: Rarely for conferences, strategic planning sessions, and key stakeholder meetings ... Proficiency with DevOps tooling (Git, CI/CD, Config, Observability), containerization, and ...

i3 Verticals

Senior Software Engineer

Nashville, TN · On-site +1

$118K - $156K/yr

Remote TRAVEL: Rarely for conferences, strategic planning sessions, and key stakeholder meetings ... Proficiency with DevOps tooling (Git, CI/CD, Config, Observability), containerization, and ...

i3 Verticals

Manager, Software Engineering

Nashville, TN · On-site +1

Remote TRAVEL: 0% ESSENTIAL DUTIES & RESPONSIBILITIES: • Lead and manage a team of product focused software engineering resources to deliver business impact. • Accountable for delivery of product ...

Transcard Payments LLC

Senior Software Engineer

Nashville, TN · Remote

$118K - $156K/yr

This is a REMOTE opportunity in the United States. Candidate must reside in the US and be work ... Essential Duties and Responsibilities: • Transcard is seeking a Senior Software Engineer to join ...

Transcard Payments LLC

Senior Software Engineer

Nashville, TN · Remote

$118K - $156K/yr

This is a REMOTE opportunity in the United States. Candidate must reside in the US and be work ... Transcard is seeking a Senior Software Engineer to join our mixed local and remote team. The ideal ...

Virtusa

Full Stack .NET Developer

Memphis, TN · On-site +1

Software Development Build, test, and deploy applications using .NET technologies such as C#, V ... or Remote .NET Developers may work in corporate, startup, or hybrid environments, often ...

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Remote Algorithmic Trading Software Developer information

What are Remote Algorithmic Trading Software Developers?

Remote Algorithmic Trading Software Developers are professionals who design, develop, and maintain software systems that automate the trading of financial instruments using algorithms. They work from remote locations, leveraging their expertise in programming, quantitative analysis, and financial markets to create and optimize trading strategies. Their responsibilities include writing efficient code, backtesting strategies, integrating with broker APIs, and ensuring system reliability. These developers often collaborate with traders, data scientists, and other engineers to improve trading performance and adapt to changing market conditions.

What are the key skills and qualifications needed to thrive as a Remote Algorithmic Trading Software Developer, and why are they important?

To thrive as a Remote Algorithmic Trading Software Developer, you need strong programming skills (commonly in Python, C++, or Java), a background in mathematics or quantitative finance, and experience developing trading algorithms. Familiarity with trading platforms, APIs, version control systems (like Git), and cloud computing tools is typically required, along with knowledge of market data feeds and order management systems. Critical soft skills include problem-solving, attention to detail, and effective communication for collaborating remotely with teams. These skills ensure robust, efficient trading systems and allow for quick adaptation to volatile market environments.

How does a Remote Algorithmic Trading Software Developer typically collaborate with quantitative analysts and traders?

As a Remote Algorithmic Trading Software Developer, you will regularly work with quantitative analysts and traders to translate trading strategies into efficient, robust code. Collaboration often involves virtual meetings to discuss requirements, clarify algorithm logic, and iterate on prototypes based on backtesting results. Clear communication is essential, as you’ll need to ensure your implementations align closely with the team's risk management and performance goals. Most teams use collaboration tools like Slack or Jira, and code repositories like Git, to stay coordinated despite the remote setup.
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Remote Algorithmic Trading Software Developer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Murfreesboro, TN • Remote

Other

Posted 28 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply