Agentic Engineer, Entertainment

Viasat, Inc. • Carlsbad, CA

13d • Onsite

About The Position

This role will take a workstream and drive it to production: agent services, the shared agentic platform, building out additional tools for agent swarms to use and integrating with existing applications. Today the work centers on agent runtimes, a company-wide code-review agent, MCP servers, agent swarms, and a spec-driven delivery frameworks. As the team moves into new agentic tools and areas, this role helps lead the adoption. You'll be a part of the Entertainment Platform Architecture team that builds and runs the agentic AI systems for Viasat's Entertainment org supporting Commercial Aviation Live TV, In-flight Entertainment, and Content Delivery Platform capabilities. We are seeking an Agentic Engineer to build alongside the Architect for the org and own workstreams end to end. This is a hands-on engineering role. You build, review, and operate fully agentic systems. You also mentor engineers and help set how the org adopts agentic AI setting the foundation and creating prototypes or platforms that can be expanded by other team. The role reports to the Lead Platform Architect in the Entertainment organization.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 5+ years of professional software engineering experience, with a track record of shipping and operating production systems.
• Hands-on experience with modern AI/LLM technologies: agentic workflows, tool and function calling, retrieval-augmented generation, evaluation, and observability.
• Experience owning a workstream or service end to end, from design through production operation.
• Strong Python and TypeScript/React. Comfortable building full-stack, from the data layer to the production UI.
• Hands-on agentic AI: agent runtimes and orchestration, Agent Development Kit (ADK) or Claude SDK, and Model Context Protocol (MCP) servers. Prompt engineering alone is not enough.
• GCP (Vertex AI, Cloud Run, BigQuery, and related services) and infrastructure-as-code with Terraform, Terragrunt, or OpenTofu.
• Modern application architecture: APIs, containers, CI/CD, and multi-repo delivery.
• Comfort with data: SQL, data pipelines, and how data quality affects AI outcomes.
• Self-directed. Takes a delegated workstream and drives it to production with little oversight.
• Not afraid to break things, and fix them.
• Strong written and verbal communication. Can explain agentic systems to non-technical partners.
• Track record of mentoring engineers through code review.
• Works well as one half of a close two-person building partnership: fast feedback, shared ownership, high trust.

Nice To Haves

• Experience building or operating an inner-source or platform-engineering program adopted by teams outside the originator's reporting line.
• Experience with AWS and on-prem or self-hosted model serving in addition to GCP.
• Experience with evaluation harnesses, agent observability, and cost and safety guardrails at production scale.
• Familiarity with developer-productivity AI tools such as Claude Code, Cowork, Gemini, or Copilot.
• Background in web platforms, portals, or customer-facing product engineering.
• Exposure to satellite communications, telecommunications, aviation, or other regulated industries.
• Experience running training, brown bags, or technical talks.

Responsibilities

• Build and ship agentic AI applications end to end with the architect and product team, from the data layer through the agent runtime to the production interface.
• Extend and operate production agent services, including the company-wide code-review agent. Own the evaluation harnesses, observability, and guardrails that measure quality, cost, and safety.
• Build MCP servers and integrations that give agents one governed interface to internal systems and data.
• Build and maintain reusable agent templates, libraries, and components, so a new agent starts from a governed, deploy-anywhere baseline that other teams adopt.
• Build and operate agent swarms and automations that take over recurring operational work for both process and development flows.
• Advance the spec-driven delivery framework (spec, implement, test to green CI, pull request) that runs many parallel feature cycles a day.
• Deploy on a build-to-image architecture across GCP and AWS. Use Terraform and infrastructure-as-code, and route services through the governed gateways.
• Build to the org's AI architecture standards and responsible-AI guardrails.
• Prototype, evaluate, and productionize new agentic frameworks and developer-productivity tools as the team moves into new areas.
• Run structured experiments and proofs-of-concept with documented evaluation criteria and clear OKRs.
• Run daily code review and mentor engineers on agentic development, prompt engineering, and internal AI tooling.
• Contribute to the monthly AI forum: live build-an-agent tutorials, architecture and ADR reviews, and readouts.
• Write and maintain internal documentation, patterns, and getting-started guides for the team's agentic tooling.

Benefits

• Relocation assistance is available pending eligibility.
• range of medical, financial, and/or other benefits, dependent on the position offered.
• comprehensive benefit offerings that are focused on your holistic health and wellness

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree