SW/Agentic Engineer, Early Career

Viasat, Inc. • Carlsbad, CA

9h • Onsite

About The Position

We are thrilled to announce an exciting opportunity for an Agentic Software Developer to join our dynamic team in Carlsbad, CA, to start as soon as possible! As an Entry Level Agentic Software Developer within Viasat’s Capacity Engineering Team, you will collaborate alongside Senior Engineers and Product Managers to build, test, and deploy AI-driven agentic workflows tailored to network capacity optimization and cloud engineering. You will help integrate Large Language Models (LLMs) into internal forecasting tools, automate complex resource allocation processes, and bridge the gap between generative AI and robust cloud infrastructure. By bringing a curious, experimental mindset to the team, you will help unlock new opportunities for our engineering teams to deliver cutting-edge, resilient capacity pipelines and autonomous cloud operations.

Requirements

• Completion of Bachelor’s degree or higher in computer science, software engineering, systems engineering or related field
• 0-3 years of full-time, relevant industry experience
• Proficiency in at least one modern programming language commonly used in AI and cloud development (e.g., Python, TypeScript/JavaScript, or Rust).
• Foundational understanding of Large Language Models (LLMs) and/or how to interact with them programmatically via APIs.
• Basic understanding of cloud computing principles (such as compute instances, scalable storage, and networking).
• Experience with basic software engineering practices, including version control (Git), debugging, and/or writing functional code.
• Strong analytical and problem-solving skills, with a willingness to experiment through rapid trial and error.
• Excellent communication skills, with the ability to explain technical AI behaviors and unexpected outputs clearly.
• A passion for both emerging AI technologies and high-resilience systems.
• Citizenship: This position requires U.S. citizenship

Nice To Haves

• Familiarity with agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen) or experience building custom multi-agent interaction loops.
• Foundational knowledge of public cloud platforms, especially Google Cloud Platform (GCP) or AWS.
• Academic or personal project experience with Infrastructure as Code (e.g., Terraform) or container orchestration (e.g., Docker, Kubernetes).
• Exposure to processing telemetry, network logs, or handling capacity/performance metrics.
• Experience evaluating LLM responses programmatically using automated metrics or automated testing suites.
• Experience/familiarity with Telecom or Non-terrestrial communication concepts
• Familiarity with agile development methodologies such as Scrum or Kanban.

Responsibilities

• Design, construct, and iteratively test prompts and agent instructions specifically aimed at automating capacity modeling, data extraction, and cloud infrastructure tasks.
• Assist in integrating API-driven LLMs (e.g., Gemini, Claude, OpenAI) into our existing Capacity Engineering tools and predictive data pipelines.
• Monitor and evaluate the outputs of AI agents, tuning system prompts and context windows to safely process telemetric system constraints and network loads.
• Collaborate with cloud and data engineering teams to map out manual capacity planning workflows and prototype scalable, agentic replacements.
• Write clean, maintainable code (Python, TypeScript, or Rust) to securely deploy agentic scripts onto cloud architecture.
• Maintain clear documentation on agent behaviors, cloud infrastructure deployments, and reliability methodologies.
• Stay curious and continuously explore emerging methodologies in AI, such as Retrieval-Augmented Generation (RAG), alongside foundational cloud engineering practices.

Benefits

• Relocation assistance is available pending eligibility.
• Graduate Development Program during your first 12+ months at Viasat (dedicated mentorship, building relationships with cohort, technical upskilling, soft skills development)
• Comprehensive benefit offerings that are focused on your holistic health and wellness

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level