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Software Engineer Remote Intern Jobs in Trinity, AL

Remote, USA As a Modeling, Simulation, and GNC Engineer, you'll develop high-fidelity models ... Collaborate with aerodynamics, propulsion, software, systems engineering, and other cross ...

None Potential for Remote Work: ORA_ON_SITE Description SAIC is currently seeking a talented and ... Collaborate with Soldiers, government stakeholders, software developers, testers, systems engineers ...

New

While this is a full remote position, there is preference for candidates located in the Northern ... Proficient software experience should include Easy Power, SKM Powertools, ETAP, Aspen, and EMTP.

While this is a full remote position, there is preference for candidates located in the Northern ... Proficient software experience should include Easy Power, SKM Powertools, ETAP, Aspen, and EMTP.

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Software Engineer Remote Intern information

See Trinity, AL salary details

$12

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$34

How much do software engineer remote intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for software engineer remote intern in Trinity, AL is $22.73, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $25.82 per hour, depending on experience, location, and employer.

What does a typical day look like for a software engineer remote intern?

As a Software Engineer Remote Intern, your day often begins with checking in via team messaging platforms, followed by a stand-up meeting to align on project goals and progress. You'll spend most of your time coding, debugging, participating in code reviews, and collaborating on tasks through platforms like GitHub and Jira. Regular communication with mentors or team leads ensures you receive feedback and guidance throughout your assignments. You'll also have opportunities to join virtual training sessions or team meetings to enhance your technical and collaborative skills.

What is a software engineer remote intern?

A Software Engineer Remote Intern is a temporary position where a student or entry-level developer gains hands-on experience working on software development tasks from a remote location. Interns typically assist in coding, debugging, testing, and collaborating with teams via online tools. This role helps build technical skills in programming languages, frameworks, and software development processes. It also provides exposure to real-world projects and industry best practices while offering flexibility in work location.

What are the key skills and qualifications needed to thrive as a software engineer remote intern?

A Software Engineer Remote Intern should possess a strong grasp of programming fundamentals, problem-solving abilities, and be actively pursuing or holding a degree in computer science or a related field. Familiarity with source control tools like Git, collaboration platforms such as Slack and Jira, and knowledge of languages like Python, Java, or JavaScript is expected. Proactive communication, self-discipline, and time management are essential soft skills for working independently and as part of a distributed team. These competencies ensure productivity, seamless collaboration, and successful project contributions in a remote environment.

What job categories do people searching Software Engineer Remote Intern jobs in Trinity, AL look for? The top searched job categories for Software Engineer Remote Intern jobs in Trinity, AL are:
What cities near Trinity, AL are hiring for Software Engineer Remote Intern jobs? Cities near Trinity, AL with the most Software Engineer Remote Intern job openings:
Infographic showing various Software Engineer Remote Intern job openings in Trinity, AL as of August 2026, with employment types broken down into 28% Internship, 61% Full Time, 3% Part Time, and 8% Temporary. Highlights an 100% Remote job distribution, with an average salary of $47,273 per year, or $22.7 per hour.

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Overview

FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

 Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

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Employment Type: FULL_TIME