Agentic-Workflow Machine Learning Engineer

About Prophecy 

The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. 

Don’t miss the rocket ship—join Prophecy and build the next data revolution.

Must-Have Skills:

• Hands-on LLM/agent building (e.g., LangChain/Graph, CrewAI) and tuning to quality benchmarks.

• Experience with semantic search, RAG, and vector databases.

• Experience with prompt engineering and optimization

• Agentic Use Cases: Hands-on experience building and deploying agents in at least one of the following scenarios:

  • Workflow Orchestration: Automating multi-step processes (e.g., ETL pipelines, supply chain optimization, or CRM workflows like Salesforce Agentforce).

  • Code Generation/Assistance: Developing or debugging code autonomously (e.g., similar to Devin AI or GitHub Copilot extensions).

  • Data Analysis/Transformation: Querying, manipulating, or analyzing data across sources (e.g., topic extraction, document analytics in vector DBs like Weaviate).

  • Personalized Assistance: Tailoring recommendations or plans (e.g., e-commerce, education, or finance agents).

  • Autonomous Decision-Making: Real-time decisions in domains like trading or healthcare (e.g., crypto trading, medical workflow optimization).

  • Content Creation: Generating text, art, or media (e.g., social media automation, presentation creation).

  • Multi-Agent Systems: Collaborative agents for simulations or transactions (e.g., policy-constrained evaluation, machine-to-machine commerce).

• Versatile software developer: fluency in Python, REST APIs, microservices in public cloud; some experience with Go, AWS, k8s, java, Scala.

• Builder mentality: Demonstrated experience taking ideas to production.

What Will Make You Stand Out

• 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

Seniority: Mid to Staff Level

Location: This is a Hybrid role with 2-3 days a week in office. However, this can vary week to week. 

Experience: 3+ years in industry

Compensation:  $250,000–$350,000

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates. 

Benefits and Perks

• Prophecy covers 99% of employee health insurance premiums and 75% for dependents

• We offer $200 per month towards remote work, wellness, gyms, massages, facials, and more!

• Flexible PTO

• Professional development allowance

• Company sponsored Long Term Disability and Life Insurance, FSA/HSA, dental, vision, and more

• Ability to have your fingerprint on an innovative platform

• End-to-end ownership of your projects. 

*Benefits and perks may vary per country

Our Commitment to Diversity and Inclusion

At Prophecy, we hire for merit and foster an inclusive culture where people from diverse backgrounds can excel and do their best work. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Prophecy are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and any other protected characteristics under applicable laws.