PlanHub is seeking a Sr AI Engineer to spearhead its AI strategy and develop AI solutions that integrate with its SaaS and mobile platforms. The role focuses on delivering AI solutions to the construction industry using Generative AI and traditional Machine Learning on AWS.
Requirements
- A proven track record in developing practical, production-grade, AI solutions with traditional AI (Machine Learning, Predictive AI, Classification) as well as Generative AI solutions (beyond chatbots) involving judicious prompt engineering practices
- 5+ years of Python development experience and FastAPI or equivalent
- 3+ years of CI/CD pipeline automation using containers and microservices
- 2+ years of RAG experience with advanced concepts such as HYDE, Semantic search, chunking tuning, re-ranking (graph-embeddings RAG is a major plus), with an industry-grade framework such as LangChain, Haystack, AWS Bedrock knowledge base, and strong sense of which embeddings model to use and associated configurations
- 2+ years experience working with multimodal LLMs
- 1+ years of experience developing production-grade agentic AI workflows and solutions using one or more of: Bedrock Agents, CrewAI, LangChain, LangGraph, Autogen, Strand, Claude, OpenAI or equivalent, preferable on AWS
- 1+ years of experience working with and configuring guardrails for bias, content relevance and accuracy or using Natural Language Inference tools to accomplish the same, with security and privacy practices against model jailbreaking, prompt injection, sensitive data leakage and other such practices
Responsibilities
- Identify problems and solutions based on our Product and Technology strategy and ensure that the right AI approach is taken
- Build rapid prototypes and POCs that serve to demo and evaluate the worth of the AI solutions
- Develop MVP and production-grade AI and ML solutions that leverage Generative AI, agentic AI, traditional Machine Learning (classifications, predictive analytics, deep learning) that integrate seamlessly with our SaaS and Mobile solutions and that offer stellar user experiences
- Develop agentic AI solutions that solve real problems while architecting for performance, accuracy, cost and safety by leveraging best of breed technologies on AWS
- Work closely with AI Engineer peers, the broader Engineering team, Product team, Customer Success, Marketing and other teams to understand customer needs, validate problem/solution fit and obtain feedback
- Utilize a trust-first approach to AI development, identifying the data needed to solve problems, using data quality practices, proper AI architectures and frameworks and responsible AI practices that result in high accuracy/relevance, low bias/harm/hallucination, with transparency and explainable AI practices and optimized for cost
- Work with the data engineering team to assess and improve data pipelines and data quality to train/tune and consume contents in RAG, agent tasks and in training models
Other
- Excellent communication and interpersonal skills
- 5+ years in a cloud environment leveraging caching, data flows and managed services on AWS or other cloud provider
- 5+ years experience working in an Agile development environment leveraging Jira, Confluence, GiHub or equivalent
- 10+ years experience with computer science fundamentals including high performance algorithms and data structures
- Applicants must be authorized to work for any employer within the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
