Talantix.io
Reval•10.03.26
AI SCORE 8.5

Forward Deployed Engineer - Remote with Travel

$120K–$150K/year
RemoteB2B SaaS
AI•Full-Stack Development•Frontend•Backend•Data Engineering•Infrastructure•LLM Integration

About the Role

We are seeking a Forward Deployed Engineer to join our dynamic team at Reval. This remote position involves significant travel, as you will work closely with our portfolio companies. You will be part of a growth-focused private equity investment firm that emphasizes hands-on product and engineering transformation.

What You'll Do

  • Embed with portfolio product and engineering teams to build end-to-end features across frontend, backend, data, and infrastructure—shipping production-grade software with testing, monitoring, and documentation.
  • Modernize legacy products into AI-first architectures by prototyping quickly (days), validating the highest-impact use cases, and scaling prototypes into maintainable systems.
  • Shape and accelerate AI adoption across the portfolio by scouting and benchmarking new AI tools/frameworks, curating reusable components, and training teams via pairing, code reviews, playbooks, and workshops.
  • Collaborate with CPOs and CTOs to identify AI-native product opportunities and refactor legacy systems into AI-first architectures.
  • Engage in meaningful on-site time with portfolio companies, committing access to production repositories and focusing on shipping in weeks.

Requirements

  • Proven experience as a full-stack builder with strong product judgment.
  • Experience with AI-assisted IDE workflows and integrating LLM APIs.
  • Ability to operate across multiple companies with high autonomy.
  • Comfortable modernizing legacy systems incrementally without breaking production.
  • Willingness to travel significantly and spend meaningful time on-site with portfolio companies.

Nice to Have

  • Familiarity with AI tools and frameworks.
  • Experience in training teams through workshops and code reviews.
  • Knowledge of workflow automation and predictive product features.

What We Offer

  • Competitive salary in the range of $120,000 to $150,000 per year.
  • Remote work flexibility with significant travel opportunities.
  • Engagement in innovative projects that drive growth and modernization.
  • Collaborative work environment with a focus on AI and product development.
  • Opportunities for professional development and skill enhancement.
Why This Job8.5 of 10

This role offers a unique opportunity to work closely with portfolio companies, driving AI adoption and modernization. The competitive salary and remote flexibility make it an attractive position.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in AI technologies and frameworks such as TensorFlow or PyTorch, with a strong understanding of LLM (Large Language Model) integration for enhancing product features.

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Experience in full-stack development, particularly with JavaScript frameworks (e.g., React for frontend and Node.js for backend), enabling seamless collaboration with cross-functional teams while working remotely.

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A problem-solving mindset with a background in data engineering, capable of designing and optimizing data pipelines to support AI-driven applications, while being adaptable to different work environments due to the travel requirements.

Learning Resources

→AI and Machine Learning for Coderscourse
→Full-Stack Open 2023guide
→Building Data Pipelines with Pythoncourse

Career Path

Forward Deployed Engineer - Remote with Travel(Now)→Technical Lead Engineer(1-2 years)→Engineering Manager or Solutions Architect(3-5 years)

Market Overview

Market Size 2024
$126B
Annual Growth
36.2%
AI Adoption
80%
Investment
+45%
Labour Demand
+25%
Avg Salary
$120K

Skills & Requirements

Required
AIFull-Stack DevelopmentFrontend
Growing in Demand
Machine Learning Operations (MLOps)Cloud Computing (AWS, Azure, GCP)Data Visualization (Tableau, Power BI)
Declining
jQueryAngularJS 1.x

Domain Trends

Rise of AI-Driven Development
AI tools are increasingly being integrated into the development lifecycle, with 70% of developers using AI to enhance productivity.
Shift to Serverless Architectures
Serverless computing adoption is projected to grow by 30% in 2024, enabling developers to focus on code rather than infrastructure management.
Increased Demand for Data Privacy Solutions
With 65% of companies prioritizing data privacy, engineers skilled in compliance and data governance are becoming essential.

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