AltaML

Accountant

• Maintain accurate financial records.
• Ensure compliance with accounting standards.
• Assist in financial and accounting operations including: month-end and year-end closing procedures, including journal entries, accruals, and reconciliations.
• Ensure timely and accurate recording of all financial transactions.
• Prepare or review complex account reconciliations, including: Accounts receivable, Accounts payable, Cost of Goods reconciliation, Intercompany transactions, and foreign exchange transactions.
• Assist in the development, implementation, and monitoring of internal controls to safeguard company assets.
• Identify opportunities to streamline accounting processes and improve efficiency.
• Analyze financial data to ensure accuracy and compliance with Accounting Standards for Private Enterprises.
• Assist with external auditors and provide audit support as required.
• Assist with compilation of monthly financial reporting, including budget-to-actual and financial statement variance analysis.

Senior Accountant

Product Specialist

• Review and enter structured data from documents and raw sources into our platform, including equipment service manuals, technical specifications, parts information, and operator guides.
• Apply equipment domain knowledge to validate that data entries are technically accurate, contextually correct, and consistent with how equipment is actually used in the field.
• Assign metadata, categories, and keywords to improve searchability, consistency, and usability across the product.
• Verify that AI-generated or system-produced answers, recommendations, and outputs are accurate, complete, and aligned with the source documentation — flagging anything misleading, incomplete, or technically incorrect.
• Add contextual notes, corrections, or clarifications to improve the accuracy and usefulness of product responses.
• Identify patterns, errors, or gaps in equipment data and escalate appropriately to ensure nothing falls through the cracks.
• Serve as a domain-informed reviewer of product outputs, ensuring that answers, search results, and recommendations reflect real-world equipment knowledge and not just surface-level pattern matching.
• Cross-reference product responses against source materials (service manuals, OEM documentation, technical bulletins) to confirm factual accuracy.
• Develop and maintain a working understanding of common equipment failure modes, maintenance procedures, and service workflows to better evaluate the quality of product outputs.
• Proactively identify cases where the product is producing answers that are technically plausible but incorrect, incomplete, or missing important safety or procedural context.
• Contribute to building internal QA checklists, rubrics, and benchmarks for evaluating answer quality over time.
• Work closely with external partners to communicate requirements, provide clarifications, and ensure alignment with internal standards.
• Help manage work queues, assign tasks (internally or externally), and track progress against deadlines.
• Review partner outputs with a critical eye for both process compliance and equipment accuracy, providing structured feedback and collaborating to continuously improve quality.
• Help define, document, and refine data entry guidelines, workflows, and standard operating procedures — including equipment-specific guidelines for how technical content should be structured and reviewed.
• Identify inefficiencies in data processing workflows and recommend improvements.
• Track key metrics (accuracy rates, quality scores, throughput, turnaround time) and provide regular updates to stakeholders.

Product Specialist – Brilliant Harvest

Full-stack Engineer

• Implement features end-to-end across front-end, back-end, and cloud infrastructure layers, taking ownership from design through deployment
• Build and integrate RESTful APIs and cloud-hosted services, primarily on Azure, following established architecture patterns and security standards
• Develop front-end components using modern JavaScript/TypeScript frameworks, with attention to usability, performance, and maintainability
• Write unit, integration, and API tests as a standard part of delivery — not an afterthought — using frameworks appropriate to the stack (xUnit, Pytest, Postman, or similar)
• Use Docker for local development, environment parity, and containerized deployments
• Manage work in Git with clean branching, meaningful commit history, and effective collaboration with AI agents in the same workflow
• Build features that incorporate LLM calls via the Claude API or Azure OpenAI, including prompt design, context management, response handling, and cost-aware API usage
• Implement RAG components and tool integrations as part of product features, working within established architecture patterns and contributing to their evolution
• Document LLM feature behaviour clearly: what the system does, what it does not do, known failure modes, and the guardrails in place
• Participate actively in epic-level and feature-level design discussions, contributing well-reasoned proposals backed by research or prototype evidence
• Create clear technical documentation: decision records, implementation notes, and design summaries that a future team member can act on
• Collaborate closely with ML engineers, data engineers, and product managers within the pod, understanding adjacent work well enough to minimize integration friction.

Intermediate Full Stack Software Engineer

DevOps Engineer

• Design, build, and maintain CI/CD pipelines that support continuous delivery across multiple cloud platforms (Azure DevOps, GitHub Actions, GitLab CI)
• Architect and manage cloud infrastructure across Azure, AWS, and GCP using Infrastructure as Code (Terraform, Bicep, CloudFormation)
• Manage containerized application workloads using Kubernetes (AKS, EKS, or GKE) and Docker
• Implement and maintain cloud security best practices: IAM policies, network segmentation, secrets management, vulnerability scanning
• Design and maintain observability stacks — logging, metrics, alerting — using tools such as Azure Monitor, CloudWatch, Datadog, or Grafana/Prometheus
• Collaborate with software and ML engineering teams to define deployment strategies, optimize release pipelines, and reduce deployment risk
• Evaluate and introduce tooling improvements that enhance reliability, scalability, and developer productivity
• Contribute to incident response and post-mortem processes, driving root cause analysis and corrective actions
• Build and maintain internal documentation on infrastructure architecture, operational runbooks, and DR procedures
• Mentor junior team members and provide technical guidance on cloud and DevOps best practices

Account Executive

• Achieve revenue growth and meet yearly revenue targets for your portfolio.
• Drive the development of new business and sales opportunities within your designated accounts and region.
• Lead and coordinate cross-functional teams, serving as the primary point of contact for sales activities within targeted accounts.
• Contribute to the development of new processes, templates, and standards
• Build and maintain a diverse portfolio of public sector and healthcare clients to establish sustainable, high-quality recurring revenue.
• Advise clients on their AI/ML adoption journeys, recommending the best-fit solutions to meet their business needs and collaborating with internal teams to ensure our clients are delighted.
• Demonstrate excellence in pipeline management and hygiene within sales and CRM tools.
• Lead the development of contractual agreements and pricing strategies.
• Identify and foster partnerships with hyperscalers, consultants, SI, and academic partners to support revenue growth and strengthen solution offerings.

Account Executive – Public Sector

AI Engineer

• Lead discovery with senior stakeholders to identify high-impact agentic use cases
• Translate complex business problems into production-ready AI system designs
• Architect secure, auditable agentic workflows (reasoning, tool use, data access, evaluation)
• Drive solutions from prototype to AltaForge production deployment (our internal agentic platform)
• Ensure all solutions align with AltaForge architecture for reusability and scale
• Define and enforce evaluation standards to measure outcomes and value creation
• Support account growth by ensuring successful delivery and lifecycle value realization

Senior Accountant

Product Specialist – Brilliant Harvest

Intermediate Full Stack Software Engineer

DevOps Engineer

Account Executive – Public Sector

Senior AI Architect