Staff / Senior AGI Solutions Engineer

About SAIGroup

SAIGroup is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $800 million in annual revenue, and employing a global workforce of over 4,000 individuals.

SAIGroup invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAIGroup's latest investment, JazzX AI, is a pioneering technology company on a mission to shape the future of work through an AGI platform purpose-built for the enterprise. JazzX AI is not just building another AI tool—it's reimagining business processes from the ground up, enabling seamless collaboration between humans and intelligent systems. The result is a dramatic leap in productivity, efficiency, and decision velocity, empowering enterprises to become pacesetters who lead their industries and set new benchmarks for innovation and excellence.

Job Title: Senior AGI Engineer – GTM Solution Delivery 

Role Overview 

As a Senior AGI 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 

5+ years of professional software engineering experience; 2+ 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: 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 Us

At JazzX AI, you have the opportunity to join the foundational team that is pushing the boundaries of what's possible to create an autonomous intelligence driven future. We encourage our team to pursue bold ideas, foster continuous learning, and embrace the challenges and rewards that come with building something truly innovative.

Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering an unparalleled chance to leave your mark on the future of AI.

We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more.

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