Senior AI Engineer
Abacus Insights
full-remoteseniorpermanentbackenddataengineering-management Full remote Today via WTTJ
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Machine LearningGenAIPythonTensorFlowPyTorchDatabricksMosaic AI GatewayRAGAgentic WorkflowsDistributed Systems
About the role
Role Overview
Join Abacus as a Senior AI Engineer to architect, build, and implement AI platforms. You will provide technical leadership, mentor other developers, and help drive the deployment of state-of-the-art AI models and systems.
Key Missions
- Architect, build, and implement AI platforms in collaboration with cross-functional teams
- Provide technical leadership across multiple teams and coach them toward future success
- Deploy advanced AI models and systems that directly impact products and services
- Participate in architectural discussions and represent Abacus in customer-facing technical conversations
Responsibilities
- Lead end-to-end model/system development: research & prototyping → deployment → monitoring
- Drive scalable, production-grade solutions that support real customers
- Support development best practices including testing, code review, and deployment
- Mentor/coaching and influence outcomes through technical discussions
Requirements
- 3+ years ML/AI engineering experience (academia ML/AI research background considered)
- 6+ years software development experience at some point in your career
- Solid understanding of adjacent functions (product/project/client delivery/operations)
- 2+ years with Databricks and Databricks stack technologies, including Databricks Mosaic AI Gateway
- Strong coding/software engineering fundamentals; familiarity with testing, code review, CI/CD/deployment best practices
- Proven ability to drive end-to-end development and model/system monitoring
- Strong knowledge of GenAI and language modeling technologies (e.g., fine-tuning/pretraining, evaluation benchmarks)
- Experience with RAG, embedding/generative techniques, and agentic workflows (orchestration, workflow management, observability/debugging)
- Experience designing scalable distributed systems for large data processing workloads (10s–100s of TB)
- Track record leading projects/teams toward production-grade systems
- Knowledge of Cloud Architecture, AI Architecture, agentic systems, MPP/data+AI compute frameworks, security, and MCP/API-based services
- Python and TensorFlow/PyTorch proficiency
- Bachelor’s degree or equivalent relevant experience
- Knowledge of design/QA/test automation and Agile methodologies
Nice to Have
- Exposure to healthcare data and FHIR
- Experience with Snowflake
Benefits (as stated)
- Unlimited paid time off
- Company-sponsored 401(k)
- Health insurance from day one
About Abacus Insights
Abacus Insights is a company focused on building AI platforms that drive product and service impact. It operates in the data and AI engineering space, working across teams to deploy modern machine learning and generative AI systems.
Scraped 8/6/2026