Job BriefWe are seeking a highly skilled
AI Engineer with hands-on experience in building Agentic Data Platforms leveraging Databricks, LangChain/LangGraph and/or Google Agentic/Vertex AI Agent Builder. The ideal candidate will be responsible for designing, developing, and deploying intelligent autonomous data workflows and multi-agent systems that enable end-to-end data processing, analytics, and decision automation at scale.
VentureDive OverviewFounded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world.
Key Responsibilities:- Design, architect, and develop agentic AI pipelines and multi-agent systems for data ingestion, processing, and analytics.
- Implement and orchestrate AI Agents using tools such as LangChain/LangGraph, Google Vertex AI Agent Builder, or equivalent agentic frameworks.
- Integrate LLMs and foundation models into data workflows for autonomous decisioning and self-service insights.
- Develop, test, and deploy RAG (Retrieval Augmented Generation) and LLMOps workflows to support domain-specific knowledge reasoning.
- Evaluate and implement best practices for prompt engineering, fine-tuning, guardrails, and responsible AI in production.
- Collaborate with data engineers, MLOps, and product teams to ensure scalability, resilience, and security of the agentic platform.
- Monitoring and performance optimization of deployed agents and AI workflows.
Required Experience & Qualification:- 5–8 years of professional experience in AI/ML engineering, Data Engineering, or Applied AI development.
- Practical experience with agentic toolkits including:
- Google Agentic/Vertex AI Agent Builder
- OR open-source agentic frameworks (e.g., LangChain, AutoGen, CrewAI, HuggingFace stack)
- Solid foundation in Python with experience building scalable AI/ML applications.
- Experience deploying LLMs, RAG pipelines, vector databases (e.g., Pinecone, Weaviate, Chroma, BigQuery Vector search).
- Good understanding of MLOps and LLMOps: CI/CD, model versioning, experiment tracking, and monitoring.
- Familiarity with cloud ecosystems (Azure preferred; AWS/GCP as a plus).
- Strong problem-solving and system design skills with ability to work in fast-paced environments.
Nice-to-Have- Experience building autonomous decisioning platforms for manufacturing, finance, supply chain, or enterprise automation.
- Exposure to streaming data systems (Kafka, Kinesis, Pub/Sub).
- Knowledge of Graph-based reasoning and enterprise knowledge management.
- Expertise in Databricks (PySpark, Delta Lake, MLflow, Unity Catalog).
Soft Skills- Excellent communication and documentation abilities.
- Strong ownership mindset and ability to work independently with minimal supervision.
- Ability to collaborate with cross-functional technical and business teams.
EducationBachelor’s or Master’s degree in Computer Science, Software Engineering, AI/ML, Data Science, or related field (or equivalent experience).
What we look for beyond required skillsIn order to thrive at VentureDive, you
…are intellectually smart and curious
…have the passion for and take pride in your work
…deeply believe in VentureDive’s mission, vision, and values
…have a no-frills attitude
…are a collaborative team player
…are ethical and honest
Are you ready to put your ideas into products and solutions that will be used by millions?You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball!
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