AI/ML Agentic-Workflows Engineer (Sr/Staff)

1 Day ago • 5-10 Years • $200,000 PA - $500,000 PA

Job Summary

Job Description

The AI/ML Agentic Workflows Engineer (Sr/Staff) will be responsible for providing hands-on technical leadership in designing, developing, optimizing, and deploying Generative AI features. This includes leveraging expertise in LLMs, RAGs, NLP, and AI infrastructure to optimize agent quality, reliability, and performance. The role involves leading a technical team, building agents for data tasks, and defining evaluation strategies. The engineer will also contribute to the delivery of AI and agentic products, designing real-time ML systems and deploying solutions in cloud environments. The successful candidate will need to be passionate about rapid iteration and high-quality execution.
Must have:
  • Deliver AI and agentic products from concept to adoption.
  • Experience with GenAI, LLMs, NLP, RAG, and Knowledge Graphs.
  • Expertise in multi-agent systems and frameworks.
  • Proficiency deploying and scaling ML solutions in cloud environments.
  • BS in CS or equivalent with 5-10 years of experience.
Good to have:
  • ML/LLM work in code generation, semantic extraction, or knowledge graphs.
  • Experience with big-data engines like Spark.
  • Compiler development for languages like SQL, Python, or Scala.
  • Optimization of ML models for low-latency production use.
  • Contributions to open-source AI/ML projects.
Perks:
  • Covers 99% of employee health insurance and 75% for dependents.
  • Offers $200 per month towards wellness.
  • Celebrate your birthday and anniversary with a day off!
  • Flexible PTO
  • Provides $500 professional development reimbursement every year.
  • Company sponsored Long Term Disability and Life Insurance.
  • FSA/HSA
  • Ability to have your fingerprint on an innovative platform.
  • End-to-end ownership of your projects

Job Details

Compensation:  

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. 

$200,000–$500,000 

About Prophecy 

Prophecy is the data copilot company, trusted by Fortune 500 enterprises in banking, insurance, healthcare, life sciences, and tech to deliver clean, reliable, and timely data for AI and analytics. Our Data Transformation Copilot empowers data users to develop, deploy, and observe tens of thousands of pipelines on cloud platforms, handling massive workloads. Backed by top VCs like Insight Partners, SignalFire, Databricks, and JPMorgan Chase, Prophecy leads the convergence of code and data context. Expanding AI-tools for software engineering, our low-code solution combines AI, systems programming, and intuitive UX to redefine data transformation—making it faster, smarter, and accessible.

The AI/ML Agentic Workflows Engineer (Sr/Staff) will:

  • 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.

What You'll Need

  • 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.

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.

Benefits and Perks 

  • Prophecy covers 99% of employee health insurance and 75% for dependents
  • We offer $200 per month towards wellness, gyms, massages, facials, and more! 
  • Celebrate your birthday and anniversary with a day off!
  • Flexible PTO 
  • Prophecy provides employees with a $500 professional development reimbursement every year
  • Company sponsored Long Term Disability and Life Insurance
  • FSA/HSA
  • Ability to have your fingerprint on an innovative platform
  • End-to-end ownership of your projects
  • And more!

*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.

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About The Company

Bengaluru, Karnataka, India (On-Site)

Bengaluru, Karnataka, India (On-Site)

Bengaluru, Karnataka, India (On-Site)

San Francisco, California, United States (Hybrid)

San Francisco, California, United States (Hybrid)

United States (Remote)

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