Agentic Infrastructure & Engineering Jobs

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472 roles · page 4 of 10

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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 4 of 10

Senior Machine Learning Engineer, Public Sector
Scale AI
Denver, CO, United States; Honolulu, HI, United States; Washington, DC, United States
$235.2k–$294k/yr
1d agoTop pickNew
Data Agent
Genesis AI
London, United Kingdom (Remote)
1d agoTop pickNew
Senior AI Forward Deployment Engineer
Norton Rose Fulbright
Toronto, Ontario, Canada
1d agoTop pickNew
IN_Associate_ GenAI and Agentic AI Engineer _GCC_ Advisory_Noida
PwC India
Noida, Uttar Pradesh, India
1d agoTop pickNew
Lead AI Engineer
Sun Life
Waterloo, Ontario, Canada
1d agoTop pickNew
AI Engineer
Guidepoint
Toronto, Ontario, Canada (Hybrid)
CAD 135k–CAD 210k/yr
1d agoTop pickNew
Gen AI Engineer
Galent
Charlotte, NC, United States (On-site)
1d agoTop pickNew
Senior Director, Solutions Architecture — Americas
Cohere
United States | Canada (Remote)
$270k–$539.8k
1d agoNew
Forward Deployment Engineer Principal
FIS
Remote (U.S.) (Remote)
1d agoTop pickNew
Forward Deployed Engineer (FDE) - SF
OpenAI
San Francisco, California, United States (Hybrid)
$185k–$300k/yr
1d agoNew
Applied AI Field Engineer
CME Associates
Charlotte, NC, USA
1d agoTop pickNew
Principal AI Platform Engineer
PEMCO
Washington, United States (Remote)
$129.0k–$215.1k/yr
1d agoTop pickNew
Agentic AI Engineer — Healthcare AI
Deloitte
Pittsburgh, PA, United States
1d agoTop pickNew
Forward Deployed Engineer – Agentic AI
Solvd, Inc.
Argentina
1d agoTop pickNew
Senior Backend Software Engineer, AI Observability & Evals Platform (LangSmith)
LangChain
Boston, MA, USA (On-site)
$180k–$240k/yr
1d agoTop pickNew
AI Platform Engineer
Super
Zagreb, Croatia
1d agoTop pickNew
Senior Software Developer, Applied AI
Jobgether
Remote (Canada) (Remote)
CAD 103k–CAD 160k/yr
1d agoTop pickNew
Applied AI Engineer, Codex
OpenAI
London, UK (Hybrid)
1d agoTop pickNew
Senior ML Engineer (AI Research/ Portability)
Nebius
Israel; Remote (Europe); United Kingdom (Remote)
1d agoTop pickNew
Staff Software Engineer, Agentic Ads
Replit
Foster City, CA, United States (Remote)
$250k–$360k/yr
1d agoTop pickNew
Software Engineer GEN AI, Assistant Vice President
Citi
Irving, TX, United States
$107.1k–$160.7k/yr
1d agoTop pickNew
AI Engineer
Mobility Global
Bengaluru, Karnataka, India (Hybrid)
1d agoTop pickNew
Applied AI Architect, Retail
OpenAI
San Francisco, California, United States (Remote)
$217k–$276k/yr
1d agoNew
Forward Deployed Engineer - AI Engineer
Reflection
San Francisco, CA, United States
1d agoTop pickNew
Applied AI Architect, Healthcare & Life Sciences
OpenAI
San Francisco (Remote)
$221k–$278k/yr
1d agoNew
AI Engineer
La Fosse
London, England, United Kingdom (Hybrid)
Up to £140k/yr
1d agoTop pickNew
Solutions Architect, Voice - London
Decagon
London, England, United Kingdom (On-site)
£144.3k–£216.4k/yr
1d agoNew
Senior AI/ML Engineer - Machine learning, Agentic AI, LangGraph
Optum India
Noida, Uttar Pradesh, India
1d agoTop pickNew
Forward Deployed Engineer
Credgenics
Noida, Uttar Pradesh, India
1d agoNew
Senior Gen AI Platform Engineer
GSK
San Francisco, CA, United States
$158.4k–$264k/yr
1d agoTop pickNew
Applied AI, Forward Deployed Machine Learning Engineer
Mistral
New York, NY, United States
1d agoNew
Strategist, Agent Development (Spanish speaking)
Sierra
San Francisco, CA, USA | New York, NY, USA (On-site)
$200k–$290k/yr
1d agoTop pickNew
Demo Experience Engineer, Technical Success
OpenAI
San Francisco, CA, USA (Hybrid)
$234k–$260k/yr
1d agoNew
Staff Software Engineer-AI
Moody's Corporation
London, England, United Kingdom
1d agoNew
AI Forward Deployed Engineer - Netherlands
Databricks
Amsterdam, Netherlands (On-site)
1d agoTop pickNew
Forward Deployed Engineer – Agentic AI
Solvd, Inc.
Poland
1d agoTop pickNew
Distributed Cloud | GenAI Engineer
Devoteam
Lisbon, Lisbon, Portugal
1d agoNew
Applied AI Engineer
OpenAI
Singapore (Hybrid)
1d agoNew
Forward Deployed Engineer
Scout Global
United Kingdom
1d agoTop pickNew
LLM / GenAI Engineer
Evlo AI
Denver, CO, USA (Remote)
1d agoTop pickNew
Distributed Cloud | Senior AI Engineer
Devoteam
Lisbon, Lisbon, Portugal
1d agoNew
Senior AI Platform Engineer (all genders)
adesso SE
Düsseldorf, North Rhine-Westphalia, Germany
1d agoNew
Senior Advisor, Agentic AI Solutions and SciML Engineer
Eli Lilly and Company
Indianapolis, Indiana, United States
1d agoTop pickNew
Forward Deployed Engineer, Lead - AI Engineer
Reflection
Seoul Incheon Metropolitan Area
1d agoTop pickNew
Manager, Applied AI Architects
OpenAI
London, UK (Hybrid)
1d agoNew
Sandbox Agentic Engineer (Remote, CAN)
CrowdStrike
Greater Calgary Metropolitan Area, Canada (Remote)
CAD 115k–CAD 165k/yr
1d agoTop pickNew
Palantir Forward Deployed Engineer - GPS
Deloitte
Chicago, IL, United States
$134.5k–$265.1k/yr
1d agoNew
AI Platform Engineer
Barclays
Knutsford/Glasgow/Manchester, England, United Kingdom
1d agoNew
Inference Engineering and Product Lead
Modal
San Francisco, California, United States (On-site)
$300k–$350k
1d agoTop pickNew
AI Engineer
Morson Edge
Greater London, England, United Kingdom (Hybrid)
£100k–£125k/yr
1d agoNew

Back to all roles

Agent engineeringSeniorTop pickNew

Senior Machine Learning Engineer, Public Sector

Scale AIDenver, CO, United States; Honolulu, HI, United States; Washington, DC, United States

Posted 1d ago/Full-time/$235.2k–$294k/yr/Expires Nov 10, 2026

Apply on company site

Why it matters

The role owns end-to-end LLM agent capabilities, including retrieval-integrated frameworks, long-running state and context management, agent evaluations, LLM judges, and verifiers. Work must operate under classified-environment, compute, and correctness constraints, with direct government-user feedback.

About the job

The goal of a Senior Machine Learning Engineer at Scale is to own how we apply generative AI, agentic AI, computer vision, and reinforcement learning to mission-critical problems in production. Our senior machine learning engineers are handed problems that don't yet have an established approach, they propose the architecture, build it with support from other engineers, and are accountable for whether it holds up in the environments our customers depend on.

Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. Our work spans multiple modalities, with our primary focus on agentic systems built on large language models. We are developing agents that solve complex operational and planning challenges for government partners: agent frameworks that integrate custom retrieval pipelines and production APIs, memory and context-management systems that hold state across long-running tasks, geospatial reasoning over maps and spatial data, and the evaluation tooling that benchmarks and refines agent behavior. We also apply reinforcement learning in targeted places where it earns its keep, and our computer vision work advances evaluation, labeling efficiency, and multimodal model training in support of defense applications.

As a Senior MLE, you'll have design authority over a capability area - the final say on the patterns used within your team, and the responsibility to make those patterns work under real constraints: classified environments, limited compute, and correctness requirements that don't bend.

You will

Own the design and delivery of agent capabilities end to end - architecture, implementation, and the evaluation that proves they work
Define net-new patterns in problem spaces with no established approach, propose them to the wider team, and lead the work to build them
Take state of the art models developed internally and from the community and put them into production to solve problems for our customers and taskers
Improve and maintain production models and agents through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics
Build agent-level evaluation benchmarks, LLM judges, and verifiers - and use it to hillclimb performance rather than just report on it
Partner with product and research teams to scope and shape high-impact initiatives, including for upcoming product lines
Build scalable machine learning infrastructure to automate and optimize our ML services
Work directly with government users and subject-matter experts, and translate what you learn into technical direction
Act as a force multiplier and a primary reviewer for your team, mentoring at least one engineer, and your manager's go-to on feasibility questions
Communicate technical tradeoffs clearly to non-technical stakeholders
Treat security and compliance as design constraints to engineer around rather than blockers to route past
Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations
Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment
Comfortable with light travel (approximately 10%) for customer interaction and team needs

This role will require an active TS security clearance

Ideally You'd Have

5+ years of experience building and deploying applied ML systems in production environments
Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment
A track record of owning architectural decisions and defending the tradeoffs behind them - not just implementing a design handed to you
Experience shipping agentic systems with real production traffic and evaluation rigor, rather than prototypes or demos
Solid background in algorithms, data structures, and object-oriented programming
Strong programming skills in Python, experience in PyTorch or Tensorflow
Experience mentoring or reviewing the work of other engineers

Nice to Haves

Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization
Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments
Experience with computer vision, generative AI models, large language models, or agentic systems
Familiarity with ML evaluation frameworks and agentic model design
Experience deploying ML in classified, air-gapped, or IL5+ environments
Geospatial or GEOINT experience
Inference optimization experience
Fine-tuning experience: SFT, RL, or embedding models

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of Washington DC is:

$235,200—$294,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Stack

python
pytorch
tensorflow
aws
gcp

Agentic infrastructure, engineering and tooling jobs