Forward Deployed Engineer (Senior, Python,AI/ML)

Posted 5 Days Ago
Be an Early Applicant
Hiring Remotely in Brazil
Remote
Senior level
Information Technology • Software • Consulting
The Role
Build and deploy practical AI-powered applications for clients using Python, Generative AI, LLMs, APIs, and cloud platforms. Collaborate with customers, product teams, and engineers to understand challenges, prototype solutions, integrate AI capabilities, and move features into production. Responsibilities include application development, testing, debugging, deployment, system integrations, AI agent workflows, solution architecture, and exploring technologies such as RAG, vector databases, MLOps, and AI observability.
Summary Generated by Built In
Forward Deployed Engineer (Python, AI/ML, Generative AI)About Us

Founded in 2011, Modus is a global, fully remote team of world-class technologists who thrive in a collaborative, innovative environment. We’re a digital product engineering partner for forward-thinking businesses. Our global teams work side-by-side with clients to design, build, and scale custom solutions that achieve real results and lasting change, partnering with industry leaders including AWS, GitHub, and Atlassian.

We were fully remote before it was cool! Recognized as one of the Inc. 5000 Fastest Growing Private Companies for nine years and a top remote work company by FlexJobs, we have helped some of the world’s largest brands deliver powerful digital experiences.

As an award-winning Atlassian partner with a world-class team, we help organizations innovate and solve complex challenges for Fortune 500 companies and beyond, we want to hear from you.

Opportunity!

We are looking for a Forward Deployed Engineer to work at the intersection of software engineering, AI, and customer delivery. You’ll collaborate with clients and experienced engineers to understand business and technical challenges, build practical solutions, and integrate modern AI capabilities into real-world applications.

This role is ideal for a hands-on engineer with strong application development fundamentals who is excited about Generative AI and LLMs and enjoys solving problems in customer-facing environments. You’ll have the opportunity to work across the solution lifecycle—from prototyping and integration through testing and deployment—while continuing to develop your expertise in AI engineering and solution architecture.

Requirements:
  • Strong proficiency in Python and experience building applications, backend services, or APIs.
  • Solid software/application engineering fundamentals, including development, testing, debugging, and deployment.
  • Hands-on experience with or strong practical knowledge of AI/ML and Generative AI technologies.
  • Experience building applications or features using Large Language Models (LLMs).
  • Experience working with APIs and system integrations, including third-party services.
  • Experience with at least one major cloud platform such as AWS, Azure, or GCP.
  • Working knowledge of TypeScript and modern application development.
  • Exposure to AI agents, agent orchestration, tool/function calling, or AI-powered workflows.
  • Understanding of modern application and solution architecture principles.
  • Ability to translate business and product requirements into practical technical solutions with support from senior team members.
  • Strong communication skills and comfort collaborating directly with clients, product teams, and engineers.
  • Strong problem-solving skills, curiosity, and the ability to learn quickly in fast-moving technical environments.
Bonus points:
  • Experience working directly with customers in consulting, professional services, solutions engineering, or similar environments.
  • Experience building prototypes or proofs of concept to validate technical ideas.
  • Experience implementing RAG, AI agents, or agentic workflows.
  • Familiarity with vector databases, embeddings, and semantic search.
  • Exposure to MLOps, model deployment, monitoring, or AI observability.
  • Familiarity with modern data platforms and AI infrastructure.
  • Experience taking an AI-powered feature or application from prototype into a production environment.
You’ll Love:
  • Building real-world applications with Python, Generative AI, and LLMs.
  • Working alongside experienced engineers and architects while continuing to grow your technical depth.
  • Collaborating directly with customers to understand their challenges and turn ideas into working solutions.
  • Building prototypes and seeing them evolve into production applications.
  • Working across application engineering, cloud technologies, APIs, and modern AI systems.
  • Experimenting with emerging AI technologies and learning how to apply them effectively to real business problems.

By joining our team, you’ll be part of a winning squad that plays to each other’s strengths and celebrates every success together.

Skills Required

  • Strong proficiency in Python and experience building applications, backend services, or APIs.
  • Strong software and application engineering fundamentals, including development, testing, debugging, and deployment.
  • Hands-on experience with or strong practical knowledge of AI/ML and Generative AI technologies.
  • Experience building applications or features using Large Language Models.
  • Experience working with APIs and system integrations, including third-party services.
  • Experience with at least one major cloud platform, such as AWS, Azure, or GCP.
  • Working knowledge of TypeScript and modern application development.
  • Exposure to AI agents, agent orchestration, tool/function calling, or AI-powered workflows.
  • Understanding of modern application and solution architecture principles.
  • Ability to translate business and product requirements into practical technical solutions with support from senior team members.
  • Strong communication skills and comfort collaborating directly with clients, product teams, and engineers.
  • Strong problem-solving skills, curiosity, and ability to learn quickly in fast-moving technical environments.
  • Experience working directly with customers in consulting, professional services, solutions engineering, or similar environments.
  • Experience building prototypes or proofs of concept.
  • Experience implementing RAG, AI agents, or agentic workflows.
  • Familiarity with vector databases, embeddings, and semantic search.
  • Exposure to MLOps, model deployment, monitoring, or AI observability.
  • Familiarity with modern data platforms and AI infrastructure.
  • Experience taking an AI-powered feature or application from prototype into a production environment.
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The Company
HQ: Reston, VA
249 Employees
Year Founded: 2011

What We Do

Modus Create builds customer-centric products, processes, and platforms to help businesses succeed in the digital economy. For over 10 years, our global team of strategists, designers, and technologists have helped the world’s biggest brands such as Burger King, Kaplan, AARP, PBS, and Time Inc. deliver powerful digital experiences to their clients. We work in an iterative, outcome-driven way to support our clients with product strategy, customer experience (CX), full stack Agile software development, and security. Inc Magazine has rated Modus Create as one of the fastest-growing American companies for 7 years in a row. Our distributed team of Modites have been pioneers in the open-source community, creating innovations such as the Ionic-Vue integration, RoboDomo, Beep, and Capsule.

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