LLM-powered systems jobs

Lead AI Engineer

Trio Workforce Solutions · Posted Sep 21, 2026

Open

Edmond, Oklahoma, United States
Full-time · Lead
$150K–$180K per year
7+ years

Lead AI Engineer

Trio Workforce Solutions · Posted Sep 21, 2026

Open

Edmond, Oklahoma, United States
Full-time · Lead
$150K–$180K per year
7+ years

Forward Deployed Engineer

Globality, Inc. · Posted Nov 6, 2026

Open

Palo Alto, California, United States
Hybrid
Full-time
$100K–$200K per year
3+ years

Apply with RefersoAI Apply on careers page

Build and deploy Glo platform extensions for enterprise procurement customers, integrating with their systems and ensuring secure, efficient operations.

Compensation

The anticipated annual base salary range for this position is $100,000 - $200,000.

Responsibilities

Build custom connectors, data pipelines, and prototypes that extend the platform to meet customer-specific requirements.
Modify and extend the Glo core product when a customer need can't be met through configuration or extensions, shipping production code through Globality's standard code review and release process.
Lead technical deployments of Glo for enterprise customers, from kickoff through go-live and adoption.
Integrate Glo with customer systems of record, including ERP, procurement, contract management, and identity platforms, using APIs, webhooks, and SSO.
Configure intake flows, sourcing workflows, approval rules, and procurement governance to match each customer's policies and spend categories.

Requirements

Nice to have: AI native company
Nice to have: LLM-based applications
Nice to have: agent frameworks
Nice to have: evaluation tooling
Nice to have: multi-agent orchestration

Skills

Python TypeScript

Director, Applied AI Product Manager

BNY (The Bank of New York Mellon Corporation) · Posted Nov 6, 2026

Open

New York, New York, United States
On-site
Full-time · Manager
10+ years

Apply with RefersoAI Apply on careers page

Lead AI-driven product strategy and execution within a large financial institution, driving transformation across enterprise functions.

Responsibilities

Define and own product vision, strategy, and roadmap for AI-driven business process transformation initiatives
Lead cross-functional teams to design, build, and scale agentic and intelligent automation solutions
Operate at the intersection of Product, Engineering, Data Science, Operations, Risk, and Compliance
Translate ambiguous, complex business problems into clear product tenets and scalable execution plans
Champion an AI-first mindset across the organization

Requirements

Bachelor's degree in STEM, Economics, or related discipline
Nice to have: Experience in highly regulated industries
Nice to have: Experience operationalizing AI solutions for Big Tech or Fortune 500 enterprises
Nice to have: Certifications: CSPO, A-CSPO, SAFe POPM, CSM, AWS Cloud Practitioner, Generative AI specialization
Nice to have: Advanced degree

Skills

Generative AI LLM-powered systems Agentic architectures

AI Principal Architect

Mastercard · Posted Oct 30, 2026

Open

Pune, MahāraShtra, India
Full-time · Principal

Apply with RefersoAI Apply on careers page

As a principal-level technical leader, you'll define the architecture vision and technical strategy for our agentic AI platform. You'll set the standards teams build on across tool calling, multi-agent orchestration, self-correcting agents, memory, retrieval, and LLMOps.

Responsibilities

Own the architecture and technical roadmap for the Operational Intelligence Gen AI platform, defining reference architectures and standards that teams across the program can reuse and scale.
Architect the enterprise tool-calling layer, setting standards for how internal services, data platforms, and external APIs are exposed to agents as tools.
Set the architecture for multi-agent and skills-based agent systems (e.g., LangGraph, CrewAI, AutoGen).
Design self-correcting agent patterns: tool critics and verifiers that check tool selection, arguments, and results, plus reflection and plan-and-execute loops.
Architect agent memory and state for long-running, multi-step sessions.

Requirements

Bachelor's degree in Computer Science
Master's degree in Computer Science
Bachelor's degree in AI/ML
Master's degree in AI/ML
Bachelor's degree in Engineering

Skills

Large-scale distributed systems Microservices

Software Engineering, AI Systems (PMTS)

Salesforce · Posted Nov 4, 2026

Open

San Francisco, California, United States
$197K–$314K per year

Apply with RefersoAI Apply on careers page

Lead architecture and delivery of complex backend systems for AI-powered agent execution, building reusable product capabilities and working directly with customers.

Compensation

The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually.

Responsibilities

Design and build systems that learn from demonstrations and combine AI reasoning with deterministic execution
Develop recovery and verification capabilities for agents
Build backend services with robust workflow state management and secure access
Create evaluations and diagnostics to measure task success
Work with customers to prototype and validate solutions

Requirements

Nice to have: agent tool use
Nice to have: code generation
Nice to have: automated recovery
Nice to have: evaluation frameworks
Nice to have: browser automation

Skills

Python Go Java JavaScript/TypeScript AI development tools

Principal Software Engineer

Bexorg · Posted Nov 4, 2026

Open

New Haven, Connecticut, United States
On-site
Full-time · Senior
$200K–$260K per year
10+ years

Apply with RefersoAI Apply on careers page

Lead the design, development, and operation of Bexorg’s flagship LIMS and AI research harness, driving technical direction and ensuring regulatory compliance.

Compensation

$200,000 - $260,000/yearly plus bonus

Responsibilities

Own end-to-end architecture of the LIMS and its applications
Design and ship experiment-design UX and data models
Build and operate LLM-assisted ontology pipelines
Re-architect Neurolens into a multi-tenant AWS platform
Lead infrastructure as code, CI/CD, observability, and security practices

Requirements

Bachelor's degree in Computer Science, Software Engineering, Applied Mathematics, or related field
Nice to have: Nextflow
Nice to have: Snakemake
Nice to have: scanpy
Nice to have: Seurat

Skills

Full-stack web development React TypeScript Python PostgreSQL JSON Schema

Lead Engineer

atlantic.vc · Posted Nov 4, 2026

Open

Berlin, Germany
On-site
Full-time · Manager

Apply with RefersoAI Apply on careers page

Lead Engineer responsible for building core systems, setting technical direction, leading a small team, and hiring in an early-stage AI startup.

Responsibilities

Write code daily for core systems
Set technical direction with founding team
Lead and support a team of 2 engineers
Support technical hiring
Build and improve agentic engineering setup

Skills

backend platform foundations distributed systems API design cloud infrastructure production systems LLM-powered systems coding agents harnesses multi-agent orchestration benchmarking

Lead AI Engineer

Lead AI Engineer

Compensation

Responsibilities

Requirements

Skills

Forward Deployed Engineer

Compensation

Responsibilities

Requirements

Skills

Director, Applied AI Product Manager

Responsibilities

Requirements

Skills

AI Principal Architect

Responsibilities

Requirements

Skills

Software Engineering, AI Systems (PMTS)

Compensation

Responsibilities

Requirements

Skills

Principal Software Engineer

Compensation

Responsibilities

Requirements

Skills

Lead Engineer

Responsibilities

Skills

Benefits

Benefits