Forward Deployed Engineering Intern Job at Cresta

Staff Software Engineer, Forward Deployed

As a Staff Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact...

Location

United Kingdom , London

Salary:

Not provided

Invisible Technologies

Expiration Date

Until further notice

Requirements

5+ years of software engineering experience, including significant time spent building data, ML, or backend systems
Deep proficiency in Python and experience with ML/LLM frameworks such as Hugging Face, LangChain, OpenAI, Pinecone, etc.
Familiarity with full-stack or API-based deployment patterns (Docker, FastAPI, Kubernetes, GCP/AWS)
Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
Experience building usable systems from messy data and ambiguous requirements
Excellent communication and client-facing skills
you’ve led conversations with technical and non-technical stakeholders alike
Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
Be willing to be on-call for our customers when situations ari
Ability to travel roughly 25–50 % of the time, sometimes short-notice trips—primarily across Europe with occasional international roll-outs—to work directly on-site with clients

Job Responsibility

Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
Build shared infrastructure, reusable components, and internal playbooks to level-up the team
Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible

What we offer

Bonuses and equity are included in offers above entry level

Fulltime

Forward Deployed Engineer

As a Forward Deployed Engineer (FDE) at Virtru, you will play a pivotal role in ...

Location

United States , Columbia

Salary:

190000.00 - 240000.00 USD / Year

Virtru

Expiration Date

Until further notice

Requirements

Active U.S. TS/SCI Clearance required
Minimum of 5+ years of experience as a cloud engineer, demonstrating a strong understanding of SRE principles for highly scalable and reliable systems
Bachelor's degree in Computer Science or related field
Proficiency in DevSecOps practices, with experience in source code repositories and CI/CD pipeline solutions such as Team Foundation Server/Azure DevOps, Bitbucket, and GitHub
Expertise in Infrastructure as Code (IaC) and best practices for managing cloud infrastructure
Familiarity with containerization, Kubernetes (k8s) and orchestration tooling such as OpenShift, Rancher, and Helm
Ability to excel both independently and as part of a collaborative team
Effective communication and collaboration skills with the on-site customer and the support team
Willingness to work onsite 3-5 days per week in Columbia, MD

Job Responsibility

Monitor platform and containerized applications to ensure optimal performance and availability
Identify and mitigate performance and availability risks and issues in real-time
Contribute to the development and optimization of core platform functions to establish a robust infrastructure
Collaborate closely with internal teams and government clients on a daily basis

What we offer

A Flexible PTO policy
A $1,500 annual Learning & Development Stipend
Home-Office Stipend
Internal mobility options
Frequent company-sponsored Team Celebrations
Access to an Employee Assistance Program
Access to Headspace, a mental health app
A high degree of flexibility
Competitive compensation
Generous parental, medical, and bereavement policies

Fulltime

Forward Deployed Engineer

As a Forward Deployed Engineer (FDE) at Virtru, you will play a pivotal role in ...

Location

United States , Tampa

Salary:

190000.00 - 240000.00 USD / Year

Virtru

Expiration Date

Until further notice

Requirements

Active U.S. Secret Clearance required
Minimum of 5+ years of experience as a cloud engineer, demonstrating a strong understanding of SRE principles for highly scalable and reliable systems
Bachelor's degree in Computer Science or related field
Proficiency in DevSecOps practices, with experience in source code repositories and CI/CD pipeline solutions such as Team Foundation Server/Azure DevOps, Bitbucket, and GitHub
Expertise in Infrastructure as Code (IaC) and best practices for managing cloud infrastructure
Familiarity with containerization, Kubernetes (k8s) and orchestration tooling such as OpenShift, Rancher, and Helm
Ability to excel both independently and as part of a collaborative team
Effective communication and collaboration skills with the on-site customer and the support team
Willingness to work onsite 5 days a week in Tampa, FL.

Job Responsibility

Monitor platform and containerized applications to ensure optimal performance and availability
Identify and mitigate performance and availability risks and issues in real-time
Contribute to the development and optimization of core platform functions to establish a robust infrastructure
Collaborate closely with internal teams and government clients on a daily basis.

What we offer

Flexible PTO policy
$1,500 annual Learning & Development Stipend
Home-Office Stipend
Internal mobility options
Frequent company-sponsored Team Celebrations
Access to an Employee Assistance Program
Access to Headspace, a mental health app
A high degree of flexibility
Competitive compensation
Generous parental, medical, and bereavement policies

Fulltime

Founding Forward Deployed Engineer

As our founding Forward Deployed Engineer at Reducto, you’ll be at the front lin...

Location

United States , San Francisco

Salary:

150000.00 - 300000.00 USD / Year

Reducto

Expiration Date

Until further notice

Requirements

3 to 6 years of experience deploying software in production settings—ideally with enterprise or regulated customers
Excellent with Python
Can navigate Bash and infrastructure as needed
Very comfortable with Kubernetes
Ability to build own tools as needed
A quantitative approach to building products
Ability to debug, experiment, and iterate fast
Comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users

Job Responsibility

Deploying and maintaining on-prem and VPC instances of Reducto’s systems, often with complex enterprise constraints
Building tooling to make deployments faster, more reliable, and easier to debug
Creating diagnostics, dashboards, and eval harnesses to measure performance and track regressions across environments
Writing crisp internal documentation and playbooks for repeatable deployments
Collaborating closely with customers, support, and core engineers to identify high-impact improvements
Acting as a feedback loop to the product and infra teams—surfacing usability gaps, unmet needs, and opportunities to deepen customer value
Working directly with the founders and customers to shape the product direction and engineering strategy

What we offer

Unlimited PTO
Free lunch daily at the office
Reimbursed Transportation
Generous health insurance covering medical, dental, and vision
Health and Wellness Budget up to $150/mo reimbursement
Parental Leave

Fulltime

Principal Backend Engineer, Forward Deployed

As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-im...

Location

United States , Austin; New York; San Francisco Bay Area; Washington DC–Baltimore

Salary:

225000.00 - 370000.00 USD / Year

Invisible Technologies

Expiration Date

Until further notice

Requirements

12+ years of software engineering experience, including significant time spent building data, ML, or backend systems
Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
Experience building usable systems from messy data and ambiguous requirements
Excellent communication and client-facing skills
you’ve led conversations with technical and non-technical stakeholders alike
Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments

Job Responsibility

Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
Build shared infrastructure, reusable components, and internal playbooks to level-up the team
Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible

What we offer

bonus
equity

Fulltime

Forward Deployed Engineer - Data-as-a-Service

Snorkel AI is hiring data scientists and engineers who will work directly on Sno...

Location

United States , New York City; Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

2+ years of experience in data science and engineering roles
Strong practical experience with Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash)
Familiarity with LLM-based workflows and applying ML techniques in production contexts
Experience leveraging Backend APIs and interpreting associated technical documentation

Job Responsibility

Partner with the Sales Team on client discovery calls to provide technical depth, assess solution fit, and scope Data-as-a-Service opportunities
Develop and present tailored technical assets including specifications, data dictionaries, sample datasets, and client-specific demonstrations to illustrate feasibility and value
Define project scope and success criteria in collaboration with customer stakeholders and internal delivery teams, ensuring alignment on technical requirements and capacity
Design and execute calibration processes including baseline batches, benchmark reports, and evaluation frameworks that establish measurable project success metrics
Build and deploy evaluators, design and implement quality measurement systems to validate project outputs and ensure deliverables meet client expectations
Generate synthetic datasets by developing or adapting existing pipelines to accelerate client engagements and augment training data
Package and deliver production-grade datasets with standardized formatting, comprehensive documentation, and quality assurance
Configure and build custom applications and off-platform solutions for non-standard or specialized client requirements
Define production specifications and workflows, securing technical alignment with client teams to enable seamless go-live transitions
Provide ongoing technical support to Delivery Managers, addressing complex questions, resolving technical blockers, and supporting customer rebuttals

What we offer

Equity in the form of employee stock options

Fulltime

Senior Software Engineer, Forward Deployed

As a Senior Software Engineer, Forward Deployed Engineer (FDE) you'll work direc...

Location

United States , Austin; New York; San Francisco Bay Area; Washington DC–Baltimore

Salary:

165000.00 - 266000.00 USD / Year

Invisible Technologies

Expiration Date

Until further notice

Requirements

6+ years of software engineering experience, including significant time spent building data, ML, or backend systems
Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
Experience building usable systems from messy data and ambiguous requirements
Excellent communication and client-facing skills
you’ve led conversations with technical and non-technical stakeholders alike
Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments

Job Responsibility

Collaborate with delivery leaders to scope technical solutions to operational problems
Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution
Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools
Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions
Iterate quickly based on real-time feedback from operators and clients
Build reusable tooling and infrastructure that accelerates future deployments

What we offer

Bonuses and equity are included in offers above entry level

Fulltime

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

Forward Deployed Engineering Intern

Cresta

Location:
Canada

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 17, 2026

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Job Description:

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Job Posted:February 17, 2026

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Location:
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Job Posted:
February 17, 2026