AI/ML Agentic-Workflows Engineer, Prophecy.io
Low code data engineering
Open for applications
Low code data engineering
21-100 employees
Open for applications
21-100 employees
Company mission
To democratize the development and deployment of high-quality data pipelines.
Role
Who you are
- Proven success delivering AI and agentic products from concept to adoption, with hands-on design of real-time ML systems
- Experience with GenAI, LLMs, NLP, RAG, and Knowledge Graphs across the ML lifecycle (train, optimize, deploy, monitor)
- Expertise in multi-agent systems and frameworks like LlamaGraph or LangChain for complex workflows
- Proficiency deploying and scaling ML/agentic solutions in cloud environments (e.g., AWS)
- Passion for rapid iteration and high-quality execution with an entrepreneurial mindset
- BS in CS or equivalent, 5-10 years of experience; MS/PhD preferred
Desirable
- ML/LLM work in code generation (e.g., Codex, text-to-SQL), semantic extraction, or knowledge graphs (e.g., Neo4j, Neptune)
- Experience with big-data engines like Spark
- Compiler development for languages like SQL, Python, or Scala
- Optimization of ML models for low-latency, high-throughput production use
- Contributions to open-source AI/ML projects (e.g., Hugging Face, PyTorch)
- Expertise in retrieval systems or vector databases (e.g., Pinecone, Weaviate)
- Skill in evaluating tech and driving build/buy decisions
What the job involves
- Provide hands-on technical leadership to design, develop, optimize and deploy Generative AI features, leveraging expertise in LLMs, RAGs, NLP, and AI infrastructure to optimize Agents quality, reliability and performance
- Support and Lead a strong technical team across the US and Bangalore, guiding them on state-of-the-art approaches to ML system design, Agent design and orchestration while establishing the best in class data-driven development practices
- Build agents that streamline data extraction, transformations and analysis
- Define scalable evaluation strategies that balance AI with human reviewers
Our take
Some reports suggest that data engineers can spend as little as 20% of their time actually analysing data - the rest is spent on administrative tasks like data cleaning and organization. It’s an issue that legacy data management systems are struggling to help enterprises stay on top of, according to Prophecy.
Prophecy has developed a data engineering platform that offers a low-code environment that runs in parallel to the code editor, meaning both analysts and engineers can easily toggle back and forth and collaborate on projects. The company also offers a compiler to help companies move their data pipelines onto the cloud.
This means that Prophesy’s offering straddles two rapidly accelerating trends that could see the company win big business. Firstly, the increasing number of companies looking to migrate to the cloud without the astronomical costs and risks that doing this independently can bring; and secondly, the rise of low/no-code driven by the high demand for (and general shortage of) developer talent. It’s helped the company onboard some key enterprise customers already, so with healthy funding under its belt, Prophesy is making confident first steps.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Jan 2025
$47m
SERIES B
Oct 2023
$35m
SERIES B
Total funding: $116.5m
Company benefits
- We provide Platinum (Blue Shield 90 PPO) healthcare for you and your family that is paid 100% by Prophecy
- There is flexible time off
- Our office is comfortable, with easy parking and everyone gets a standing desk
- California Avenue in Palo Alto is walkable from the office and provides excellent lunch options
- Equinox gym is walkable from the office and your membership is paid by us
Company HQ
Ventura, Palo Alto, CA
Leadership
Raj Bains
(CEO)Worked as a Software Developer / Engineer with Microsoft and NVIDIA, then moved into senior engineering roles at RMS and Viome, and senior product roles at Clustrix and Hortonworks.
Rohit Bakhshi
(Advisor)Has worked as a Development Lead with Accenture Interactive, then consulted with them on R&D. Subsequently worked on product development for Hortonworks, Meteor Development Group, and Confluent. Also served as the Web Chair for the VLAB Executive Team at MIT/Stanford Venture Lab.
Maciej Szpakowski
(Co-founder)Previously worked as a software engineer both freelance, and with Lumina Learning. Went on to co-found Researchably.
Vika Smarwaha
(Co-founder)Previously worked in sales at Satyam Computers Services and HP, before leading sales at Headstrong, then serving as GM at Wipro.
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