Demo

Forward Deployed Engineer

geniantllc
Dallas, TX Full Time
POSTED ON 5/22/2026
AVAILABLE BEFORE 7/21/2026

The Company

geniant is at the forefront of AI innovation, building cutting-edge platforms that empower our clients to leverage the full potential of artificial intelligence. Join a dynamic team where your contributions directly shape the future of AI. We are looking for a Forward Deployed Engineer to use AI to design, develop, and deploy client solutions.

The Role

As a Forward Deployed Engineer (FDE) at geniant, you will sit at the intersection of software engineering, product strategy, and client relations. Unlike traditional back-office roles, you will be "on the front lines," embedded with our clients to solve their most complex technical challenges.

You aren't just writing code in a vacuum; you are an architect of outcomes. You will translate ambiguous business problems into robust technical architectures and then build them.

Key Responsibilities

  • Capable of using AI systems in the following way while retaining a deep understanding of each:
    • Full-Stack Implementation: Design, develop, and deploy production-ready code (primarily in Python, Go, Java, TypeScript, etc.) that integrates our solutions with client infrastructure.
    • Solution Architecture: Lead technical discovery sessions to understand client pain points and map them to scalable system designs.
    • Customer Advocacy: Act as the technical bridge between our clients and our internal teams, providing feedback loops that influence our recommended solutions.
    • Rapid Prototyping: Build MVPs and Proofs of Concept (PoCs) to demonstrate value quickly in high-stakes environments.
    • Deployment & Scaling: Manage the end-to-end lifecycle of a project, from initial data ingestion and ETL pipelines to front-end dashboarding and user training.
  • Partner with Design Technologists to collaborate on user experience design.

Required Skills & Qualifications

  • Experience: 10 years of professional software engineering experience, preferably in a client-facing or consulting capacity.
  • AI Tools:  4 Experience with generative LLM’s including code generation and media (i.e. Claude, Gemini, Codex, or agentic/generative frameworks such as ComfyUI, LangChain)
  • Technical Breadth: Full-stack proficiency in at least 2 backend languages (e.g., .Net, Node, Java) and familiarity with modern frontend frameworks (e.g., React, Vue). Strong understanding of APIs, integrations, and data flows
  • Data Proficiency: Experience with SQL, NoSQL, and data processing frameworks (e.g., Spark, Pandas).
  • Cloud & Infrastructure: Comfort with AWS, Azure, or GCP, and containerization tools like Docker or Kubernetes.
  • The "FDE Mindset": "Product-minded" engineer who cares more about solving the user's problem than the purity of the stack.
  • Communication: Ability to explain complex technical trade-offs to non-technical stakeholders. Able to champion the product and communicate clearly with the client at all levels.  Savvy enough to adapt communication to the audience.  Face to face communication and interpersonal skills are important.
  • Creativity: Ability to solve unique problems using standard and innovative solutions that go beyond existing solutions resulting in a broad, positive impact for our clients.Ability to operate independently in complex environments.
  • Experience designing technical architectures or integrations.
  • Familiarity with Python, JavaScript, or scripting for integrations and automation.
  • Experience working with enterprise customers and production deployments.
  • Contributions to open-source projects or a strong portfolio of side projects.
  • Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future

Note to Applicants: We value autonomy and curiosity. If you love doing a deep-dive into a new codebase one week and presenting a strategy to an executive the next, you’ll thrive here.

Salary.com Estimation for Forward Deployed Engineer in Dallas, TX
$121,276 to $146,113
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