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Senior AI/ML Engineer
SayariSenior AI/ML Engineer developing orchestration systems transforming how analysts interact with global risk data. Join a leading data provider in delivering innovative AI solutions.
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformReact
About the role
Key responsibilities & impact- Architect and deploy complex, multi-agent orchestration workflows end-to-end using frameworks like Langchain.
- Build and maintain a robust production evaluation framework for both online and offline LLM performance, ensuring our systems are accurate, reliable, and defensible.
- Develop and optimize orchestration and routing protocols to accelerate AI development and unblock cross-functional teams building on difficult problems.
- Serve as a technical mentor and thought leader for teams, advising on prompt engineering, workflow design, and the critical trade-offs between classical ML and agentic approaches.
- Collaborate directly with the AI Innovation Lab Manager and SVP of Engineering to align technical execution with Q2 product commitments.
- Independently solve complex engineering hurdles in the agentic stack, moving from POC to a deployed MVP within a 90-day window.
Requirements
What you’ll need- Production AI/ML Expertise: You have moved beyond notebooks and have a track record of deploying multi-agent workflows at scale that incorporate reasoning loops (CoT, ReAct) and tool use (RAG, API calls).
- Orchestration & Routing: Mastery of Langchain or similar frameworks, with the ability to build clean, maintainable, and observable agentic workflows.
- Cloud Engineering: Solid background in cloud infrastructure (AWS/GCP/Azure) with the ability to write production-ready code.
- ML Logic & Discernment: A solid background in classical ML (classification, regression) used to determine when to build agentic workflows versus utilizing traditional statistical models.
- Decisive Execution: A builder mindset with the ability to work independently, navigate ambiguity, and pivot quickly as priorities evolve.
- Preferred: Deep experience with Orchestration/Routing, ReAct, and Chain of Thought.
- Background in RAG, GraphRAG, and evaluating workflows using LLM-as-a-judge vs. deterministic scoring.
- Experience in GCP.
Benefits
Comp & perks- 100% fully paid medical, vision, and dental for employees and their dependents
- Generous time off; we observe all US federal holidays, close our office for a winter break (12/24-12/31), in addition to granting 18 PTO days and 10 sick days
- Outstanding compensation package; competitive commissions for revenue roles and bonuses for non-revenue positions
- A strong commitment to diversity, equity, and inclusion
- Eligibility to participate in additional benefits such as 401k match up to 5%, 100% paid life insurance (up to $100,000 coverage), and parental leave
- A collaborative and positive culture - your team will be as smart and driven as you
- Limitless growth and learning opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Langchainmulti-agent workflowsproduction AI/MLcloud infrastructureAWSGCPAzureclassical MLReActRAG
Soft Skills
technical mentorthought leaderdecisive executionindependent problem solvingcollaborationadaptabilitybuilder mindsetnavigating ambiguitycritical thinkingcommunication