Avanquest

Solutions Engineer

• Evaluate and deploy open-source LLMs via vLLM, Ollama, or TGI on GPU infrastructure
• Design and maintain a REST API with auth, rate limiting, versioning, and API documentation
• Optimize inference: quantization, batching, and concurrency tuning for latency / cost trade-offs
• Own observability - latency, throughput, GPU utilization, and cost-per-call dashboards
• Integrate AI features into our web apps and document processing platforms
• Build AI-powered UI components: chat interfaces, inline suggestions, smart search, and summarization widgets
• Collaborate with frontend engineers on UX patterns specific to async and streaming AI responses
• Manage API keys, usage metering, and per-user AI feature flags on the client layer
• Design multi-step orchestration pipelines for document ingestion, parsing, classification, and extraction
• Integrate OCR, layout detection, and chunking strategies for PDFs, Word docs, spreadsheets, and scanned images
• Build RAG pipelines with hybrid retrieval (dense + sparse) over document corpora
• Design and optimize prompts for extraction, summarization, classification, and conversational AI workflows
• Implement task queues and async workers to handle high-volume document processing reliably
• Define evals and quality benchmarks for extraction accuracy, classification, and generation quality
• Write technical docs, so the platform is maintainable by the whole team and accessible for technology partners
• Partner with product, data science, and DevOps/MLOps to ship AI features reliably and at scale
• Stay current on the open-source model ecosystem and advise on model selection and upgrades.

AI Integration Engineer

Sales

• Own and drive monetization KPIs across all partner operations (conversion rate, revenue per lead, revenue per hour).
• Analyze performance trends and identify opportunities to improve sales effectiveness and customer outcomes.
• Define performance targets and ensure alignment with partners to achieve business objectives.
• Lead performance reviews with partner organizations and enforce accountability through structured action plans.
• Oversee the development, maintenance, and governance of sales training materials, playbooks, scripts, and call/chat flows.
• Ensure all enablement content is standardized, up-to-date, and consistently deployed across partners.
• Lead the rollout of new monetization strategies, offers, and campaigns through structured training programs.
• Ensure partners are equipped to deliver effective training through their master trainers and internal coaching teams.
• Oversee training delivery quality and consistency across all partner locations.
• Establish training cadence, certification standards, and onboarding frameworks for partner agents.
• Define and own QA frameworks, scoring models, and calibration processes related to sales and customer experience.
• Identify behavioral gaps and drive targeted coaching strategies with partners.
• Translate business objectives into clear, executable sales strategies at the agent level.
• Continue to refine scripts, objection handling, and sales approaches based on performance insights.
• Collaborate with Product and Operations teams to ensure successful execution of new initiatives.
• Own the lifecycle management of all sales documentation, including scripts, flow charts, training materials, and playbooks.
• Maintain a centralized repository of enablement content to support scalability and consistency.
• Lead and develop a team of specialists (e.g., Sales Enablement, QA, Performance Analyst).

Manager, Sales Enablement – Partner Performance

• Drive and achieve monetization KPIs across all partner operations (conversion rate, revenue per lead, revenue per hour).
• Analyze performance trends and identify opportunities to improve commercial efficiency and customer outcomes.
• Set performance objectives and ensure alignment with partners to meet business targets.
• Conduct performance reviews with partners and enforce accountability through structured action plans.
• Define and manage the overall sales enablement framework across partner sites.
• Oversee the development, maintenance and governance of sales training materials, playbooks, scripts and call/chat workflows.
• Ensure content is standardized, up-to-date and consistently deployed across all partners.
• Lead the rollout of new monetization strategies, offers and campaigns via structured training programs.
• Ensure partners are equipped to deliver effective training through their internal trainers and coaching teams.
• Oversee the quality and consistency of training across partner sites.
• Define training cadences, certification standards and agent onboarding frameworks.
• Define and manage QA frameworks, scoring models and calibration processes related to sales and customer experience.
• Identify behavioral gaps and drive targeted coaching strategies with partners.
• Translate business objectives into clear, executable sales strategies at the agent level.
• Work closely with the product and operations teams.