Headquartered in Los Altos, CA. Backed by SAIGroup.
Learn more about JazzX AI:
Website: https://jazzx.ai
LinkedIn: https://www.linkedin.com/company/jazzx-ai
Learn more about SAIGroup:
Website: https://saigroup.ai
Job Title: AGI Solutions Engineer (Junior) – GTM Solution Delivery
(Full-time · Remote-first with periodic travel to client sites & JazzX hubs)
Role Overview
As an Artificial General Intelligence Engineer you are the hands-on technical force that turns JazzX’s AGI platform into working, measurable solutions for customers. You will:
- Build and integrate LLM-driven features, vector search pipelines, and tool-calling agents into client environments.
- Collaborate with solution architects, product, and customer-success teams from discovery through production rollout.
- Contribute field learnings back to the core platform, accelerating time-to-value across all deployments.
You are as comfortable writing production-quality Python as you are debugging Helm charts, and you enjoy explaining your design decisions to both peers and client engineers.
Key Responsibilities :
Focus Area
What You’ll Do
Solution Implementation
* Develop and extend JazzX AGI services (LLM orchestration, retrieval-augmented generation, agents) within customer stacks.
* Integrate data sources, APIs, and auth controls; ensure solutions meet security and compliance requirements.
* Pair with Solution Architects on design reviews; own component-level decisions.
Delivery Lifecycle
* Drive proofs-of-concept, pilots, and production rollouts with an agile, test-driven mindset.
* Create reusable deployment scripts (Terraform, Helm, CI/CD) and operational runbooks.
* Instrument services for observability (tracing, logging, metrics) and participate in on-call rotations.
Collaboration & Support
* Work closely with product and research teams to validate new LLM techniques in real-world workloads.
* Troubleshoot customer issues, triage bugs, and deliver patches or performance optimisations.
* Share best practices through code reviews, internal demos, and technical workshops.
Innovation & Continuous Learning
* Evaluate emerging frameworks (e.g., LlamaIndex, AutoGen, WASM inferencing) and pilot promising tools.
* Contribute to internal knowledge bases and GitHub templates that speed future projects.
Qualifications
Must-Have
- 2+ years of professional software engineering experience; 1+ years working with ML or data-intensive systems.
- Proficiency in Python (or Java/Go) with strong software-engineering fundamentals (testing, code reviews, CI/CD).
- Hands-on experience deploying containerised services on AWS, GCP, or Azure using Kubernetes & Helm.
- Practical knowledge of LLM / Gen-AI frameworks (LangChain, LlamaIndex, PyTorch, or TensorFlow) and vector databases.
- Familiarity integrating REST/GraphQL APIs, streaming platforms (Kafka), and SQL/NoSQL stores.
- Clear written and verbal communication skills; ability to collaborate with distributed teams.
- Willingness to travel 10–20 % for key customer engagements.
Nice-to-Have
- Experience delivering RAG or agent-based AI solutions in regulated domains (finance, healthcare, telecom).
- Cloud or Kubernetes certifications (AWS SA-Assoc/Pro, CKA, CKAD).
- Exposure to MLOps stacks (Kubeflow, MLflow, Vertex AI) or data-engineering tooling (Airflow, dbt).
Attributes
- Empathy & Ownership: You listen carefully to user needs and take full ownership of delivering great experiences.
- Startup Mentality: You move fast, learn quickly, and are comfortable wearing many hats.
- Detail-Oriented Builder: You care about the little things
- Mission-Driven: You want to solve important, high-impact problems that matter to real people.
- Team-Oriented: Low ego, collaborative, and excited to build alongside highly capable engineers, designers, and domain experts.
Travel
This position requires the ability to travel to client sites as needed for on-site deployments and collaboration. Travel is estimated at approximately 20–30% of the time (varying by project), and flexibility is expected to accommodate key client engagement activities.
Why Join JazzX AI -
What draws people to JazzX AI is the opportunity to build something truly foundational.
We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you’ll help build a platform that redefines how work happens in the AGI era.
JazzX AI brings together vision, deep technology, and purpose. This is not about experimenting with AI features; it’s about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments.
If you’re motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.
