Position Details: Senior Software Engineer AI Agents Autonomous Systems - Gaia
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Regular FT
Summary Gaia is building the next generation of Gaia.com experiences using AI. This role focuses on designing and shipping agentic autonomous software systems that can plan, act, evaluate outcomes, and continuously improve-driving real product impact, not demos. Youll build production-grade AI agents that meaningfully enhance customer experience, operational efficiency, content intelligence, personalization, and discovery across Gaia.com.
This is a builder role; youll move fast, iterate relentlessly, and own outcomes end-to-end-from problem framing and system design to deployment, observability, and continuous optimization.
Responsibilities • Architect and implement agentic AI systems that autonomously execute multi-step workflows, planning, tool use, memory evaluation, refinement. • Build and own production services in Python that orchestrate LLM-based reasoning, retrieval, tool calling, and safe action execution. • Design autonomy loops, task decomposition, reflection, self-critique, reward signals, evaluation harnesses, and guardrails. • Develop robust RAG pipelines for Gaias content ecosystem, semantic search, chunking, embeddings, reranking, citations, freshness. • Create frameworks for agent reliability testing, simulation, regression suites, red-teaming, and continuous evaluation. • Implement observability for LLM systems, tracing, cost, latency, monitoring, failure taxonomy, quality metrics, and incident response.
Partner with product design and content teams to translate Gaias mission and user needs into autonomous capabilities. Optimize for performance and cost, caching, batching, model routing, quantization, where relevant, and prompt system improvements. Ship continuously, build, measure, learn-tight loops, pragmatic decisions, and visible progress.
Qualifications
Expert-level Python and experience building production services, APIs, workers, pipelines, orchestration.
Deep knowledge of LLMs and agentic systems, including strengths, limits, failure modes, and practical patterns for reliability.
Proven track record of execution, shipping, iterating, and improving outcomes based on real signals.
Strong builder, owner mindset, taking ambiguous problems, creating clarity, and delivering results.
Entrepreneurial mindset, bias toward action, comfort with uncertainty, high accountability, and strong product instincts.
Solid foundation in mathematics, statistics, and data reasoning, quantifying uncertainty, validating improvements, and avoiding hand-wavy conclusions.
Strong data fluency, instrumentation, metrics, design, experiment analysis, and operational decision-making using data.
Strongly Preferred Qualifications
Hands-on experience building agentic workflows using modern frameworks, e.g., LangGraph, LangChain, LlamaIndex, Semantic Kernel, or equivalent custom stacks.
Experience with tool-using agents, function calling, structured outputs, constrained decoding, and robust schema validation.
Experience with evaluation techniques for LLM systems, golden sets, model-graded evals, pairwise ranking, offline, online correlation.
Experience with retrieval systems, vector databases, hybrid search, reranking, query rewriting, and content freshness strategies.
Knowledge of prompt system design for production, instruction hierarchies, routing, safety constraints, and jailbreak resistance.
Experience with distributed systems and async execution patterns, queues, orchestration, retries, idempotency, backpressure.
Experience deploying and scaling LLM-enabled services in cloud environments, AWS, GCP, Azure, including CICD and IaC.
Familiarity with MLOps, LLMOps tooling, experiment tracking, model gateways, prompt version management, and tracing.
Experience with privacy and security considerations for AI systems, PII handling, data minimization, auditability.
Front-end or full-stack capability is a plus, shipping end-user impact, not just back-end components.
Prior work in consumer subscription products, content platforms, personalization, or discovery systems.
Technical Competencies
Designing clean architectures for autonomous agents, planners, executors, tool registries, memory stores, and evaluation loops.
Strong API design instincts and comfort with typed interfaces, schemas, and contracts.
Ability to write maintainable, well-tested code, and to improve legacy systems pragmatically.
Strong debugging skills across model behavior, orchestration, logic, and distributed runtime issues.
Practical understanding of tradeoffs between different model families, context sizes, latency profiles, and cost.
Mindset & Collaboration Requirements
You dont get stuck in research mode. You prototype quickly, then harden what works.
You seek truth with data, measuring quality, cost, and reliability, and you improve what matters.
You communicate clearly, explaining agent behavior, failure modes, and tradeoffs to technical and non-technical partners.
You care about craft and user value, autonomy is only useful if its safe, reliable, and genuinely improves the experience.
You are genuinely excited about Gaias subject matter and mission, and you want to build with that context in mind.
Example Problems
• An autonomous Content Intelligence Agent that tags, summarizes, cross-links, and recommends Gaia content with measurable improvements to discovery and retention. • A Personalization Agent that builds an evolving user understanding with privacy safeguards and drives next-best actions across the product. • An internal Ops Agent that autonomously triages issues, proposes fixes, drafts release notes, and supports content metadata workflows with guardrails. • A Member Support Agent that resolves issues end-to-end with tool access, account actions, refunds, troubleshooting, safely and audibly.
What Success Looks Like
• Youve shipped at least one production agentic capability with clear metrics, quality, adoption, cost, latency, reliability. • Youve established an evaluation and observability loop, so the system gets better week-over-week. • Youve raised engineering standards for AI agent development, testing, tracing, safety, and maintainability. • Youre a force multiplier-other teams can build on the platform you create.
Compensation Type Salary Range: $75,000 - $90,000 USD
More About Gaia
Gaia exists as a transformational network to empower a global conscious community. Gaia Nasdaq GAIA is a publicly traded company in Louisville, Colorado. We offer global video streaming of over 8,000 original series, shows, films, documentaries, and practices for conscious living to our members in over 190 countries. Our vast video library serves as a vessel for the community we seek to empower. We are not a subscription service that streams whatever pays our bills. Our content goes deep into select niches of Seeking Truth, Transformation, Alternative Health, and Yoga channels. We often cover subjects that other media companies wont touch.
We expect you to have explored Gaias library of original shows, documentaries, and films. If our work on ancient wisdom, who are we, our true history, cover-ups, and metaphysics resonates with you, you might be a good fit for Gaia. We seek to hire and inspire employees who embrace our mission to empower a global conscious community, who hope their work empowers our community of inspired members to be a catalyst of transformation.
The best work we do every day is to remember our vision is to empower the evolution of consciousness.
The perks of working collaboratively with a team dedicated to sharing this mission include:
• An on-site gym • A beautiful solar-powered campus with hiking and running trails • Community garden • Labyrinth • An on-site mostly organic café that serves breakfast and lunch daily, including a full-service espresso bar featuring locally roasted coffee.
Full-time employees are offered alternative and traditional medical benefits, including preventative coverage, as well as dental, vision, 401K, and life insurance.
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