Platform Engineer, Agents Jobs

New

Platform Engineer, Agent Collaboration Platform

Platform engineering at Hebbia is about excellent, scalable enablement. You are ...

Location

United States , New York City; San Francisco

Salary:

160000.00 - 300000.00 USD / Year

Hebbia

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
5+ years software development experience at a venture-backed startup or top technology firm, with a focus on distributed systems and platform engineering
Proficiency in building backend and distributed systems using technologies such as Python, Java, or Go
Deep understanding of scalable system design, performance optimization, and resilience engineering
Extensive experience with cloud platforms (e.g., AWS)
Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis
Knowledge of workflow orchestration and execution platforms like Airflow, Temporal or Prefect
Proven experience enabling observability patterns
Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts
Proven experience in leading software development projects and collaborating with cross-functional teams

Job Responsibility

Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs
Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume
Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents
Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth

What we offer

PTO: Unlimited
Insurance: Medical + Dental + Vision + 401K
Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late
Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
Fertility benefits: $15k lifetime benefit
New hire equity grant: competitive equity package with unmatched upside potential

Fulltime

Engineering Manager, AI Platform

Lead Airtable's AI Platform pod, which builds the foundational infrastructure an...

Location

United States , San Francisco; New York City

Salary:

240000.00 - 339900.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Platform builder at heart: think in systems and abstractions
experience building infrastructure other teams depend on
Technical depth with strategic thinking
Systems thinker with shipping velocity
AI infrastructure experience: worked on ML platforms, agent frameworks, or AI infrastructure at scale
Quality through architecture
Strong technical and management growth trajectory: 5+ years experience as an engineer (previously in a staff or TL level IC position) and 1+ years as a manager, or a similar combination

Job Responsibility

Build the AI platform foundation: own the core agent architecture, orchestration layer, and runtime
Design for platform scale: create robust abstractions and APIs
Establish AI reliability systems: build evaluation frameworks, monitoring, and quality assurance systems
Drive technical strategy: partner with Staff+ engineers to define the technical roadmap
Enable AI democratization: build platform capabilities that make sophisticated AI accessible to all Airtable users

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

New

Agentic AI Engineer

AI Engineer – Python | Azure Foundry | Agentic AI. The work sits at the intersec...

Location

United Kingdom

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Strong Python engineering skills
Hands-on experience with Azure Foundry
Practical expertise in Agentic AI workflows
Solid grounding in modern AI/ML engineering practices
Design, deploy, and maintain production-grade AI solutions
Candidates must be eligible to work in the UK without sponsorship

Job Responsibility

Designing and implementing agentic AI workflows
Building Python-based automation and intelligence layers
Contributing to a broader Azure Foundry-based AI platform

New

Senior Machine Learning Engineer, Agentic

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Bellevue; Menlo Park; New York; Washington; Denver; Westlake; Chicago; Lake Mary; Clearwater; Gainesville

Salary:

146000.00 - 220000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

Strong technical expertise in software development, with understanding of agentic workflows—including reasoning loops, tool invocation, memory, and orchestration of autonomous AI agents
Hands-on experience using Large Language Models, including prompt engineering, fine-tuning, model distillation, and deploying optimized models (e.g. via DPO, PPO) into production environments
Proven ability to build and scale ML/AI systems, from experimentation to deployment—owning dataset generation, evaluation pipelines, A/B testing, and performance monitoring
Leadership and mentorship capabilities, with a track record of guiding complex technical projects and supporting the growth of teammates through code/design reviews and technical direction
Excellent communication and collaboration skills, with the ability to translate technical ideas into actionable plans and work effectively with cross-functional partners, including product and infrastructure teams
Innovation mindset and commitment to continuous learning and a bias toward action, staying at the forefront of ML/AI trends, agentic systems research, and best practices in tooling, safety, and evaluation

Job Responsibility

Design and create tools and workflows for agent development that support rapid prototyping—define agents, compose toolchains, and construct reasoning loops with minimal overhead
Build platform solutions to support scalable experimentation, synthetic dataset generation, and multi-agent evaluation across diverse tasks and domains
Develop feedback and optimization pipelines that incorporate both automated metrics and human-in-the-loop evaluation signals to fine-tune agent behavior
Implement and scale optimization techniques such as Direct Preference Optimization (DPO), Proximal Policy Optimization (PPO), and reward modeling to improve agent performance
Launch and support fine-tuned models in production environments with robust evaluation, rollback strategies, and performance monitoring
Collaborate closely with applied AI/ML teams to translate state-of-the-art research in agentic reasoning, planning, and tool use into reliable, production-ready systems

What we offer

Market competitive and pay equity-focused compensation structure
100% paid health insurance for employees with 90% coverage for dependents
Annual lifestyle wallet for personal wellness, learning and development, and more
Lifetime maximum benefit for family forming and fertility benefits
Dedicated mental health support for employees and eligible dependents
Generous time away including company holidays, paid time off, sick time, parental leave, and more
Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
Bonus opportunities
Equity

Fulltime

New

Quality Engineer - AI and Data Platforms

This is a pioneering Quality Engineer role at the intersection of data engineeri...

Location

United Kingdom , Manchester

Salary:

44000.00 - 66000.00 GBP / Year

Matillion

Expiration Date

Until further notice

Requirements

Solid foundation in data engineering: including SQL, ETL/ELT design, and specific experience building data pipelines and managing data movement
Strong practical AI experience: you have used, experimented with, and are an advocate for an AI-first approach to quality engineering
Proficiency in coding in Java or JavaScript to navigate the codebase and implement quality frameworks
Demonstrated Autonomy, Curiosity, and Problem-solving skills, with a willingness to look at challenges in a different way and ask for assistance as needed
Experience in managing end-to-end testing of SaaS applications, including developing and maintaining efficient test automation tooling

Job Responsibility

Leveraging AI and agentic solutions, including our agentic AI product Maia, to accelerate investigation, generate test cases, and increase quality assurance across the Data Productivity Cloud
Performing root cause analysis on pipeline stability issues, particularly identifying why DPC pipelines run out of memory (OOM) within the agents
Building pipelines to automate every process, solutionizing problems to increase overall team and product productivity
Acting as a crucial bridge by collaborating extensively with various teams, raising problems, and ensuring that fixes are implemented effectively
Adopting, implementing, and championing shift-left testing practices across the team, leading an automation-first approach

What we offer

Company Equity
30 days holiday + bank holidays
5 days paid volunteering leave
Health insurance
Life Insurance
Pension
Access to mental health support

Fulltime

New

Linux Platform Engineer

As CLEAR continues to expand its identity platform across physical and digital e...

Location

United States , New York

Salary:

150000.00 - 185000.00 USD / Year

Clear

Expiration Date

Until further notice

Requirements

3+ years of hands-on experience administering embedded Linux systems
Strong proficiency in Python for system automation, service orchestration, and hardware communication
Familiarity with A/B update mechanisms (RAUC, Mender, SWUpdate, or custom partition-switching logic)
Experienced in serial communications (UART, RS-232, USB-serial) and SDK-based hardware integration
Deep knowledge of service dependencies, timers, and watchdog configuration
Familiarity with network observability and remote device management at fleet scale
Committed to operational excellence, focused on designing for resilience, testability, and safe rollback
Collaborative, pragmatic, and curious
equally comfortable debugging a kiosk in the field or improving CI/CD for edge devices

Job Responsibility

Architect and implement OS-level watchdogs, process monitors, and self-healing mechanisms to ensure devices automatically recover from failures (service restarts, reboots, or rollbacks)
Manage and enhance our OTA update framework to enable safe, atomic updates via A/B partition swapping and automated rollback when needed
Develop and maintain Python-based services that interact with connected peripherals (payment terminals, scanners, sensors) via vendor SDKs and serial interfaces
Own and maintain our custom Linux image (via Yocto, Buildroot, bootc, rpm-ostree, etc), managing systemd units, udev rules, and security policies for a locked-down, production-grade environment
Build lightweight monitoring agents to stream logs, metrics, and telemetry (connectivity, performance, temperature) to centralized observability systems such as Datadog or Splunk
Work closely with software, SRE, and field operations teams to identify pain points and develop scalable solutions that improve reliability and ease of maintenance

What we offer

Meals and snacks
Stipend and reimbursement programs
Comprehensive healthcare plans
Family building benefits (fertility and adoption/surrogacy support)
Flexible time off
Free OneMedical memberships for you and your dependents
401(k) retirement plan with employer match
Annual bonuses
Commission
Restricted Stock Units

Fulltime

New

Forward Deployed Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...

Location

United States

Salary:

150000.00 - 250000.00 USD / Year

Cresta

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3+ years of experience in software development, AI/ML engineering, or system integration
Proficiency in Python and Golang
Familiarity with AI/ML concepts
Hands-on experience with large language models (LLMs) and prompt engineering techniques are strongly preferred
Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG)
Hands-on experience of building such a system is strongly preferred
Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring)
Hands-on experience with integrating systems via APIs, webhooks, and data pipelines
Excellent communication and project management skills

Job Responsibility

Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools
Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration
Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments
Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions
Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives
Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery
Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings
Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI
Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage
Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning

What we offer

Comprehensive medical, dental, and vision coverage with plans to fit you and your family
Flexible PTO
Paid parental leave for all new parents welcoming a new child
Retirement savings plan
Remote work setup budget
Monthly wellness and communication stipend
In-office meal program and commuter benefits provided for onsite employees
Equity

Fulltime

New

Forward Deployed Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...

Location

Canada

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3+ years of experience in software development, AI/ML engineering, or system integration
Proficiency in Python and Golang, with the ability to write clean, efficient code
Familiarity with AI/ML concepts
Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred
Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG)
Hands-on experience of building such a system is strongly preferred
Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring)
Hands-on experience with integrating systems via APIs, webhooks, and data pipelines
Excellent communication and project management skills

Job Responsibility

Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools
Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration
Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments
Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions
Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives
Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery
Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings
Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI
Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage
Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning

What we offer

We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
Paid parental leave to support you and your family
Monthly Health & Wellness allowance
Work from home office stipend to help you succeed in a remote environment
Lunch reimbursement for in-office employees
PTO: 3 weeks in Canada

Fulltime

Platform Engineer, Agents

Hebbia

Location:
United States, New York City ▼
San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 09, 2025

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