Principal Engineer, GenAI Solutions
Team: IT
Location: US
Commitment: Full-time
Workplace Type: remote
Accountabilities:
- Lead the technical vision and architecture of GenAI-powered location intelligence solutions, ensuring scalability, performance, and maintainability.
- Define and execute technical roadmaps aligned with business goals and system growth requirements.
- Design, implement, and deploy end-to-end AI systems, including LLM integrations, agentic workflows, and RAG pipelines.
- Build and maintain data pipelines and cloud-native infrastructure to support AI/ML workloads at scale.
- Oversee model deployment, fine-tuning, monitoring, and optimization for production environments.
- Ensure responsible AI practices, including performance guardrails, ethical considerations, and monitoring for bias or drift.
- Collaborate across cross-functional teams to translate business requirements into robust technical solutions.
- Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
- 10+ years of software development experience, with at least 1 year building production GenAI solutions in B2B SaaS environments.
- Expert-level backend engineering skills in Python, Java, Go, or Node.js and experience designing microservices architectures on cloud platforms (AWS, GCP, Azure).
- Strong frontend and full-stack proficiency, including React/Next.js, TypeScript, and real-time data streaming or WebSocket integrations.
- Hands-on experience with LLM-powered applications using frameworks such as LangChain, LlamaIndex, and OpenAI/Anthropic APIs.
- Expertise in agentic AI architectures, multi-step reasoning, tool calling, and memory systems for complex workflows.
- Experience with RAG systems, vector databases (Pinecone, Weaviate, ChromaDB), and semantic search.
- Solid data engineering foundation, including ETL, pipeline design, and infrastructure optimization for AI/ML workloads.
- Proven track record taking GenAI models from prototype to production, including fine-tuning, prompt engineering, and AI guardrails.
- Knowledge of MLOps practices, including model versioning, monitoring, and lifecycle management.
- Strong collaboration, communication, and problem-solving skills for working with product managers, data scientists, and stakeholders.
- Competitive salary with performance incentives.
- Comprehensive medical, dental, and vision insurance.
- Flexible remote work environment with global team collaboration.
- Professional development opportunities and access to cutting-edge AI projects.
- Participation in a high-growth, innovative technology environment shaping a new market.
- Exposure to top-tier technical talent and mentorship opportunities.
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