Customer Success Engineer

Abacus.AI; Poland; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Competitive salary

Equity options

Cutting-edge AI tech

Professional development

Job summary

Abacus.AI is seeking a hands-on Solutions Architect or equivalent to deploy software into customer environments, shaping architecture, writing integrations, debugging in production, and collaborating closely with customer engineering teams in a hands-on role.

This is not a coordination position; you will operate in the codebase and on the architecture whiteboard, driving deployments and influencing the product roadmap with field insights.

Qualifications

• Bridge technical and non-technical stakeholders; explain LLM performance to executives.
• Hands-on experience with Prompt Engineering and Retrieval-Augmented Generation (RAG).
• Strong grasp of ML lifecycle from data prep to model evaluation.
• Proven track record deploying AI at scale and managing technical rollouts.

Responsibilities

• Lead Architecture & Integration Design with customer teams to fit into existing stacks.
• Ship prototype AI apps and integrations directly in front of customers.
• Own deployment across customer teams end to end as Technical Lead.
• Translate customer goals into concrete technical scope for delivery teams.
• Feed field-level patterns to Product & Engineering to shape roadmap.
• Lead executive & technical QBRs with deployment progress and ROI metrics.
• Partner with Sales to identify new use cases and expand customer footprint.

Skills

Strategic technical comms

GenAI & LLM literacy

ML lifecycle knowledge

Program & rollout mgmt

Job description

Abacus.AI is an enterprise AI platform that transforms how businesses build and deploy AI systems. Our platform automates AI development through advanced generative AI technology, eliminating the need for extensive technical expertise.

Our core offerings include ChatLLM Teams with access to leading AI models, Abacus AI Agent for autonomous task execution, and customizable AI agents for chatbots, workflows, and enterprise automation. We also contribute to the AI community through LiveBench.ai benchmarking and open-source projects like Dracarys and Smaug.

We make sophisticated AI and machine learning capabilities accessible to organizations regardless of size or technical resources.

Role Overview:

We're looking for someone with a hands-on technical delivery background: A current or former Solutions Architect, Forward Deployed Engineer, Implementation/Integration Engineer, Solutions Engineer, or Technical Account Manager with real build experience. The right person has spent their career deploying software into customer environments: scoping architecture, writing integration code, debugging in production, and sitting shoulder-to-shoulder with customer engineering teams. This is not a coordination role. You'll be in the codebase and on the architecture whiteboard.

Key Responsibilities:

• Lead Architecture & Integration Design: Partner with customer engineering and platform teams to design how Super Assistant fits into their existing stack: Data sources APIs, retrieval layers, and downstream systems. Run technical design sessions, produce reference architectures, and make the build-vs-configure calls.
• Ship Vibe-Coded Apps & Integrations: Rapidly prototype working applications and integrations directly in front of the customer using AI driven development.
• Drive Super Assistant Rollout as Technical Lead: Own deployment across customer teams end to end.
• Translate Requirements into Technical Execution: Convert customer business goals into concrete technical scope: Keep the internal FDE team's execution tightly coupled to what the customer actually needs in production.
• Feed the Product Roadmap: Bring field-level technical patterns, integration gaps, and platform limitations back to Product and Engineering, with enough specificity to influence prioritization.
• Lead Executive & Technical QBRs: Present deployment progress, architecture evolution, usage and performance metrics, and realized ROI to both engineering leads and executive stakeholders.
• Expansion Discovery: Partner with the Sales team to identify new use cases for our AI capabilities, helping customers expand their footprint and see deeper value from the Abacus platform.

Required Qualifications:

• Strategic Technical Communication: Exceptional ability to bridge the gap between technical and non-technical stakeholders; you can explain LLM performance or RAG architecture to an executive just as easily as you can discuss API integration with a developer.
• Generative AI & LLM Literacy: Solid understanding of the GenAI landscape, including Hands-on experience with Prompt Engineering, RAG (Retrieval-Augmented Generation) architectures, and the nuances of deploying LLMs in a corporate environment.
• Functional Machine Learning Knowledge: A strong conceptual grasp of the ML lifecycle from data prep, model training, and evaluation metrics allowing you to collaborate effectively with internal Data Science teams and guide customers through technical deployment.
• Program & Rollout Management: Proven track record of managing technical software rollouts (like an AI "Super Assistant") within large organizations, focusing on user adoption, monitoring ongoing health, and steering account progress through QBRs.

What We Offer:

• Competitive salary and equity package
• Opportunity to work with cutting-edge AI technology
• Collaborative and innovative work environment
• Professional development and learning opportunities