Senior AI Engineer
PlanHub is the leading pre-construction SaaS platform and marketplace helping general contractors, subcontractors, and suppliers connect and grow their businesses. Built with tradespeople in mind, PlanHub is designed around the user workflow to help boost productivity, maintain deadlines, increase revenue, and create relationships. Easily post projects or submit bids with anytime-anywhere collaboration for every commercial construction trade.
We seek an experienced Sr AI Engineer with a strong AI development and software engineering background. This role is pivotal in spearheading our AI strategy and focuses in part in the development and validation of rapid prototypes, a durable AIOps/MLOps practice and a solid roadmap that delivers a growing list of AI solutions to market, leveraging Generative AI and traditional AI (Machine Learning) using state of the art platforms and frameworks on AWS.
What you’ll be doing
- 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
- Assist in choosing third party solutions, data sources, and services that complement our roadmap so that we stay focused on where we can differentiate our solutions
- 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
- You’ll use and improve CI/CD pipelines for AI and ML development, using containers and microservices and AWS infrastructure and services that accelerate development
What you’ll need on day one
- 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
- 1+ years experience helping institute AI QA testing practices leveraging responsible AI and accuracy/relevance to automate quality testing in the AI CI/CD pipeline, including unit testing and automation of traditional AI testing seeking accuracy of models, identification of model and data drift
- 5+ years of experience development AI/ML solutions that are customer facing as well as that support internal business processes
- 3+ experience with Jupyter Notebooks or equivalent using a data warehouse/data lake to derive insights and inform solution development and thought leadership
- 10+ years experience with computer science fundamentals including high performance algorithms and data structures
- 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
- Excellent communication and interpersonal skills
What will make you stand out
- Graph-based RAG and knowledge graph development experience using Neo4j or equivalent
- Development experience with vertical agents
- Model Fine-Tuning and Prompt Tuning: Experience with fine-tuning LLMs and automating prompt tuning processes, using frameworks
- Experience working with Amazon Redshift, SageMaker
- Experience working with unstructured contents and OCR as well as computer vision systems to understand blueprints
What's in it for you:
The opportunity to join a dynamic team that landed into the top list of Inc. 5000 in 2024 You can make an immediate impact as PlanHub moves to dominate the industry!
PlanHub offers:
- An awesome culture where you will be empowered, make an impact, and learn a ton.
- Flexible time-off policy.
- An excellent benefit package, including medical, dental, vision, and life insurance.
- RRSP with company match.
Originally posted on Himalayas
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