CrawlJobs Logo

Forward Deployed Engineer (AI Agent)

cresta.com Logo

Cresta

Location Icon

Location:
United States

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

150000.00 - 250000.00 USD / Year

Job Description:

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable. As an AI Agent Engineer, you'll be at the forefront of deploying AI agents that address real-world challenges. In this role, you will work closely with customers as well as our software and machine learning engineers, ensuring high-impact AI Agent deployments and contributing to the continuous improvement of our core AI platform. You’ll develop intelligent AI agents, integrate them seamlessly with external systems and offer hands-on technical expertise to ensure successful deployments. This position requires strong engineering skills, adaptability, and customer engagement.

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

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
  • Ability to use data-driven decision-making, including A/B testing and performance monitoring, to refine solutions
  • You thrive in cross-functional environments, working hand-in-hand with PMs and engineers to turn real customer problems into scalable AI solutions
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

Additional Information:

Job Posted:
December 07, 2025

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Forward Deployed Engineer (AI Agent)

Principal Forward Deployed Engineer, AI

As a Principal Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the fo...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 10+ years of experience in backend software development
  • 5+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
  • Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
  • Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
  • Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
  • Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
  • Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
  • Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
  • Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
  • Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
  • Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
  • Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
  • Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
  • Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
What we offer
What we offer
  • Health and wellbeing resources
  • Paid volunteer days
Read More
Arrow Right

Senior Forward Deployed Engineer, AI

As a Senior Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the foref...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 5+ years of experience in backend software development
  • 3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
  • Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
  • Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
  • Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
  • Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
  • Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
  • Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
  • Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
  • Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
  • Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
  • Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
  • Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
  • Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
Read More
Arrow Right

Senior Forward Deployed Engineer, AI

As a Senior Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the foref...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 5+ years of experience in backend software development
  • 3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
  • Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
  • Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
  • Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
  • Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
  • Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
  • Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
  • Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
  • Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
  • Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
  • Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
  • Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
  • Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
Read More
Arrow Right

Senior Forward Deployed Engineer, AI

As a Senior Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the foref...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 5+ years of experience in backend software development
  • 3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
  • Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
  • Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
  • Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
  • Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
  • Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
  • Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
  • Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
  • Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
  • Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
  • Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
  • Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
  • Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
Read More
Arrow Right

Forward Deployed Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...
Location
Location
Canada
Salary
Salary:
Not provided
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Associate Forward Deployed Product Manager

As an Associate Forward-Deployed Product Manager on the AI Agents team, you will...
Location
Location
United States
Salary
Salary:
110000.00 - 145000.00 USD / Year
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 1-4 years of relevant experience (e.g., Product Management, Consulting, Implementations, Customer / Sales Engineer, Revenue & Sales Analyst, Investment Banking, Founder)
  • Hands-on work style – curiosity with a bias for action. You deliver with urgency and care
  • Comfortable working with ambiguity and learning quickly in a dynamic startup environment
  • Willingness to travel
Job Responsibility
Job Responsibility
  • Drive AI Agent deployments for customers across the lifecycle — from pre-sales to post-launch optimization
  • Define AI roadmaps for the customer’s executive team by blending both quantitative analysis and qualitative insights
  • leverage automated conversation discovery tools in addition to traditional data analysis
  • Iterate prompt & context engineering to achieve customer’s use case and intended business outcomes
  • Own designing and running evaluations and A/B tests of AI Agents with Forward-Deployed Engineers (FDEs) using Cresta’s agent builder and beta internal tools
  • Improve our playbooks for agent development and customer deployment
What we offer
What we offer
  • Comprehensive medical, dental, and vision coverage with plans to fit you and your family
  • Flexible PTO to take the time you need, when you need it
  • Paid parental leave for all new parents welcoming a new child
  • Retirement savings plan to help you plan for the future
  • Remote work setup budget to help you create a productive home office
  • Monthly wellness and communication stipend to keep you connected and balanced
  • In-office meal program and commuter benefits provided for onsite employees
  • Bonus
  • Offers Equity
  • Fulltime
Read More
Arrow Right

Senior Engineering Manager, AI

As a Senior Engineering Manager (Forward Deployed Engineering team) at Atlassian...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 5+ years of experience managing software engineering teams at scale
  • Experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
  • Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
  • Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
  • Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
  • Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
  • Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
  • Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
Job Responsibility
Job Responsibility
  • Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
  • Mentor and coach your forward-deployed engineering team on best practices in AI/ML solution design, code quality, scalable architecture, testing, debugging, and documentation—ensuring rapid, high-quality delivery of customer-focused, production-ready solutions
  • Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
  • Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
  • Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
  • Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
Read More
Arrow Right

Forward Deployed Product Manager

The ideal Forward Deployed Product Manager (FDPM) candidate is a customer obsess...
Location
Location
United States , San Mateo
Salary
Salary:
170000.00 - 240000.00 USD / Year
fireworks.ai Logo
Fireworks AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong technical background (CS/EECE background and/or production level development experience) or technical product management experience
  • Intimate familiarity with LLMs, fine-tuning, model inference, agents etc.
  • 2 - 5+ years of experience in products for software engineers
  • Strong customer interaction skills, deep customer success focus
  • Ability to communicate highly technical concepts to all kinds of audiences including the latest AI developments
  • Focus on driving outcomes, not just technical milestones
  • Ability to navigate complex customer/technical scenarios and come up with creative solutions
Job Responsibility
Job Responsibility
  • Engage directly with customers from fast-moving startups to large enterprises, to identify use cases and convert interest into long-term usage and expansion
  • Define and propose tailored solutions and proof-of-concepts (POCs) that demonstrate the value of Fireworks’ platform in real customer environments
  • Lead onboarding and implementation efforts, including fine-tuning workflows, latency benchmarks, API integration, and infrastructure alignment
  • Act as a trusted technical advisor to customers, helping shape their GenAI strategy using Fireworks infrastructure
  • Translate customer insights into structured product definition, identifying common themes and high-leverage feature requests
  • Collaborate closely with engineering and applied ML teams to align customer needs with technical roadmap
  • Drive execution of product development, ensuring that new products land successfully with customers
  • Oversee Fireworks roadmap, ensuring that reflects customer needs
What we offer
What we offer
  • Meaningful equity in a fast-growing startup
  • Competitive salary
  • Comprehensive benefits package
  • Fulltime
Read More
Arrow Right