Senior AGI Engineer

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.