Job description
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 engineering, AI, and customer delivery. You’ll partner directly with clients to understand complex business and technical challenges, rapidly design and build solutions, and integrate modern AI capabilities into real-world applications and systems.
This role is ideal for an engineer who combines strong application development skills with a customer-focused mindset and enjoys taking solutions from initial discovery and architecture through implementation and deployment.
Requirements:
Strong proficiency in Python and experience building production-ready applications and services.
Solid application engineering experience, including designing, developing, testing, and deploying scalable software solutions.
Hands-on experience integrating AI/ML capabilities into applications and existing technology ecosystems.
Strong experience designing and integrating APIs and distributed systems, including third-party services and enterprise platforms.
Experience building solutions using Large Language Models (LLMs) and Generative AI technologies.
Experience working with major cloud platforms such as AWS, Azure, and/or GCP.
Proficiency with TypeScript and modern application development frameworks.
Experience with agent orchestration, AI workflows, tool calling, or similar agentic architectures.
Strong customer-facing and consulting skills, with the ability to understand business requirements and translate them into technical solutions.
Experience with solution architecture, including designing scalable systems and making technical decisions based on customer and business requirements.
Ability to work closely with customer stakeholders, product teams, and engineers throughout the solution lifecycle.
Strong problem-solving skills and the ability to operate effectively in fast-moving, ambiguous environments.
Bonus points:
Experience delivering technical solutions directly within customer environments.
Experience designing or implementing RAG, AI agents, or multi-agent systems.
Exposure to MLOps, model deployment, and AI observability.
Experience working in consulting, professional services, solutions engineering, or similar customer-facing technical roles.
Experience rapidly building prototypes and proofs of concept and evolving them into production-ready solutions.
Familiarity with modern data platforms, vector databases, and AI infrastructure.
You’ll Love:
Working directly with customers to solve complex, real-world technical challenges.
Building and deploying AI-powered solutions that move quickly from concept to production.
Combining hands-on engineering with solution architecture and customer collaboration.
Working across application engineering, cloud technologies, and modern AI systems.
Exploring emerging AI technologies and finding practical ways to apply them to meaningful 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.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.