Agentic Infrastructure & Engineering Jobs

[ 01 ]

OPEN ROLES

472 roles · page 8 of 10

Filters

TypeAgent infrastructure126 Agent engineering153 Developer tooling2 Applied research11 Forward deployed179 Other1

ModeRemote92 Hybrid95 On-site72 Location TBD213

LevelJunior18 Mid-level101 Senior216 Staff26 Principal17 Lead20 Manager18 Level TBD56

472 roles · page 8 of 10

Senior Applied AI Engineer
Xapien
London, England, United Kingdom
1d agoTop pickNew
Forward Deployed AI Engineer – Architect of Intelligence
Keyrus
São Paulo, São Paulo, Brazil
1d agoTop pickNew
Principal Forward Deployed Engineer — AI-Native Invoicing
Intuit
Mountain View, CA, United States
$261.5k–$353.5k/yr
1d agoTop pickNew
Senior Agentic AI Engineer
Sapiens
Bengaluru, Karnataka, India
1d agoTop pickNew
Frontier Agents Engineer
Scale AI
London, England, United Kingdom
1d agoTop pickNew
Applied AI Engineer - Agentic Systems - Senior Associate
JPMorganChase
Greater London, England, United Kingdom
1d agoTop pickNew
Lead Deployed AI Engineer
Enablis
London, England, United Kingdom (Hybrid)
£90k–£115k/yr
1d agoTop pickNew
Artificial Intelligence Engineer
SPECTRAFORCE
Ontario, Canada (Remote)
CAD 140k–CAD 170k/yr
1d agoTop pickNew
Senior Engineer – Gen AI /Agentic AI (US)
TD
Mount Laurel, New Jersey, United States
$123.7k–$200.2k/yr
1d agoNew
Senior Engineer AI
Litmus7
Bengaluru, Karnataka, India
1d agoNew
AI Engineer
Morgan Stanley
New York, NY, United States
$120k–$165k/yr
1d agoTop pickNew
AI Engineer 3
Capital One
McLean, VA, USA
1d agoTop pickNew
Software Engineer, Machine Learning - ML 인프라
Karrot
Seoul, South Korea
1d agoNew
Lead AI ML Engineer REQ_59
3Pillar
Greater Kolkata Area, India (Remote)
1d agoNew
AI Platform Engineer (m/f/d)
Allianz Technology
Barcelona, Catalonia, Spain (Hybrid)
1d agoTop pickNew
Forward Deployed AI Engineer (Python) - Remote -Latin America
FullStack
Remote (Latin America) (Remote)
1d agoTop pickNew
Gen AI - Platform Engineer
Tata Consultancy Services
London, England, United Kingdom
1d agoNew
Artificial Intelligence Engineer
MarketOnce
Denver, CO, USA (On-site)
$140k–$175k/yr
1d agoTop pickNew
Forward Deployed Engineer - German Speaking
HappyRobot
Munich, Bavaria, Germany
1d agoNew
Principal AI Platform Engineer
CreateFuture
Manchester, England, United Kingdom (Remote)
1d agoTop pickNew
Senior Software Engineer — Infra Agent Systems UK
Together AI
Remote (UK) (Remote)
1d agoTop pickNew
Staff Software Engineer, Inference API
Cerebras
Toronto, Canada (Remote)
1d agoNew
(Senior) AI Platform Engineer (m/f/d)
evoila
Mainz, Rhineland-Palatinate, Germany (Remote)
1d agoNew
Engineering Manager, Frontier AI Infrastructure - Public Sector
Scale AI
Washington, DC, USA (Hybrid)
$213.6k–$267k/yr
1d agoNew
Senior AI Engineer
Further
Dallas, TX, USA
1d agoNew
Software Engineer, Agent - Retail
Sierra
San Francisco, CA, United States | New York, NY, United States | Atlanta, GA, United States | Toronto, Canada (On-site)
1d agoTop pickNew
Intermediate AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx
UPS
Chennai, Tamil Nadu, India
1d agoTop pickNew
Lead Software Engineer - AI
Humana
Nashville, TN, USA (Remote)
$155.2k–$213.4k/yr
1d agoTop pickNew
Staff / Senior Software Engineer (Agentic Search) - Runtime
Nebius
Zurich, Switzerland
1d agoNew
Senior AI Engineer - Remote Work | REF#302791
BairesDev
Remote (Worldwide) (Remote)
1d agoTop pickNew
Forward Deployed Engineer (FDE), Financial Services- NYC
OpenAI
New York City, New York, United States (Hybrid)
$185k–$300k/yr
1d agoNew
Engineering Manager (TLM, Agents)
Perplexity
San Francisco, California, United States
$300k–$405k/yr
1d agoTop pickNew
AI and Agentic Engineer I
Exelixis
Alameda, CA, United States
$129k–$182k/yr
1d agoNew
Senior Machine Learning Engineer, LLM Inference Optimization
Nebius
London, United Kingdom
1d agoNew
Senior | Staff Software Engineer - AI / ML
Snorkel AI
San Francisco, CA, USA (Hybrid)
$208k–$315k/yr
1d agoTop pickNew
Applied AI Engineer, Australia
Mistral
Sydney, Australia
1d agoNew
Forward-Deployed Engineer
AITOMATIC
Ho Chi Minh City, Ho Chi Minh City, Vietnam
1d agoTop pickNew
Senior Platform Engineer: Agentic AI - Cogentiq
Fractal
Bengaluru, Karnataka, India
1d agoTop pickNew
AI Agent Engineer
Harrison Clarke
San Francisco, CA, USA
Up to $250k/yr
1d agoTop pickNew
Platform Engineer
PeopleSearch
Singapore, Singapore
SGD 9k–SGD 10k/mo
1d agoTop pickNew
LLM Operations Engineer
Accenture in India
Pune, Maharashtra, India (On-site)
1d agoTop pickNew
Senior Forward Deployed ML Engineer, Agents
AION
London, England, United Kingdom (On-site)
1d agoTop pickNew
Senior Software Engineer, Compute Platform
Replit
Foster City, CA (Hybrid)
$130k–$290k/yr
1d agoNew
AI Forward Deployed Engineer
Alldus
New York, NY, United States
$250k–$300k/yr
1d agoTop pickNew
Forward Deployed AI Engineer (Multiple Levels)
NielsenIQ
Remote (United States) (Remote)
$110k–$240k/yr
1d agoNew
AI Engineer
ENGIE Romania
Bucharest, Bucharest, Romania
1d agoNew
AI/ML Engineer
Mphasis
Remote (Remote)
1d agoNew
Applied AI Engineer, Quants
OpenAI
London, UK (Hybrid)
1d agoNew
GenAI Engineer
Docusign
Bengaluru, Karnataka, India (Hybrid)
1d agoTop pickNew
Senior AI/LLM Engineer (Python) - Remote
Kake
Vancouver, British Columbia, Canada (Remote)
1d agoNew

Back to all roles

Agent infrastructureStaffTop pickNew

Senior | Staff Software Engineer - AI / ML

Snorkel AISan Francisco, CA, USA (Hybrid)

Posted 1d ago/$208k–$315k/yr/Expires Nov 10, 2026

Apply on company site

Why it matters

The role builds infrastructure for long-horizon agent rollouts, including adaptive evaluation, early stopping, model cascades, routing, caching, and quality measurement. It also turns research into reusable components used by forward-deployed engineers and researchers across projects.

About the job

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

In September 2026 we raised a $350 million Series E at a $3.5 billion valuation, and we are scaling our engineering and research teams to meet demand.

The role

Frontier AI data is expensive to make and hard to measure. Every task we deliver is tested against the strongest models, often through many long-running agent rollouts. Your job is to make that process faster, cheaper, and more rigorous with ML and AI

You will be one of the early members of ML & Research Engineering at Snorkel. You will study how frontier-grade data is generated and evaluated, form hypotheses, validate them against real production data, and ship the winners at scale. You will shape the discipline's direction, its standards, and the team that grows around it.

What you'll work on

Efficient agentic evals. Cut the cost of long-horizon agent evaluation with adaptive sampling, statistically grounded early stopping, model cascades, caching, and cheap-first gating.
AI model routing. Route every eval and judge call to the cheapest model that clears the quality bar, with fallback, monitoring, and cost attribution.
Fine-tuned small models. Fine-tune and serve open-weight models (LoRA and other parameter-efficient methods) where they match frontier quality, and know when they don't.
Predictive difficulty. Build models that estimate how hard a task is for frontier systems before running a single rollout.
Measurement for AI data. Build golden datasets, quantify the accuracy and calibration of LLM-as-judge systems, and make quality reproducible across projects.
Research to production. Turn research prototypes into reusable, configurable components that forward deployed engineers and researchers use on every project.

What you'll bring

5+ years building production ML or software systems, with end-to-end ownership from prototype to production
Hands-on experience running LLM or ML workloads in production, and comfort reasoning about non-deterministic systems
Deep grounding in statistics and experimentation: experiment design, hypothesis testing, sampling, and confidence intervals
Strong Python and software engineering fundamentals, including testing, code review, and system design
Experience designing evaluations and interpreting results rigorously
A habit of finding high-impact problems before they are assigned, and clear communication with researchers, engineers, and business partners

Nice to have

Fine-tuning and serving open-weight models, and judging when a smaller model meets the quality bar
Building LLM evaluation or experimentation platforms, model gateways, or routing systems
Experience with agentic workloads, benchmarks, or RL environments
A record of taking research into production: publications, open-source work, or shipped research-driven features
MS or PhD in Computer Science, Machine Learning, Statistics, or a related field

Why join now

Frontier problems. Measure and shape the tasks designed to challenge the strongest models in the world.
All AI, no plumbing. Every problem on this team is an open ML or LLM problem.
Founding impact. Help define what ML engineering means at Snorkel and grow the team that carries it forward.
Visible results. Your work shows up directly in the speed, quality, and cost of the data frontier AI is built on.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role

$208,000—$315,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Stack

python
lora

Agentic infrastructure, engineering and tooling jobs