AI Engineer - Forward Delployed

AI Engineer | IntePros
IntePros is partnering with a rapidly growing applied AI organization that is helping enterprise customers redesign critical business operations through AI-native solutions. Their focus is centered around deploying practical, production-ready AI systems that solve real business problems at scale across industries such as healthcare, telecom, insurance, manufacturing, and consumer services.
We're currently seeking an AI Engineer to join the team on a 6-month contract-to-hire basis. This is a highly hands-on engineering role working directly alongside AI Strategists and customer stakeholders to design, prototype, deploy, and scale enterprise AI solutions in live production environments.
This team operates in a fast-moving environment where experimentation, iteration, and real-world execution matter. The ideal person is naturally curious, constantly exploring emerging AI technologies, frameworks, and tooling, while also bringing the communication maturity needed to operate directly with enterprise customers.
The engineering organization has built its own internal AI platform used to rapidly spin up and deploy customer solutions. AI Engineers work closely with AI Strategists to help shape ideas into scalable technical solutions, pressure test feasibility, and determine how systems can be operationalized effectively within enterprise environments.
Responsibilities
Design, build, and iterate on AI-powered applications and workflows using modern LLM frameworks, agents, retrieval systems, APIs, and automation tooling
Partner closely with AI Strategists to translate business problems into scalable technical solutions
Evaluate and refine AI concepts to determine feasibility, scalability, and production readiness
Build full-stack and backend integrations that support enterprise AI deployments
Work directly with customer stakeholders in high-visibility environments to gather requirements and support solution delivery
Continuously improve system behavior, reliability, and performance through rapid iteration and testing
Integrate AI systems into existing enterprise platforms, workflows, and data environments
Leverage AI-assisted development tools and modern engineering practices to accelerate development and experimentation
Contribute to a collaborative engineering environment focused on innovation, execution, and customer outcomes
Qualifications
2+ years of software engineering experience with strong Python fundamentals
Hands-on experience building AI-powered applications beyond simple API integrations
Experience working with LLMs, agentic workflows, retrieval systems, evaluators, orchestration frameworks, or AI automation tooling
Comfortable operating across backend and full-stack engineering environments
Strong understanding of software engineering fundamentals including debugging, testing, version control, and scalable system design
Ability to operate effectively in ambiguous, fast-paced customer environments
Strong communication skills with the ability to explain technical tradeoffs clearly to both technical and non-technical stakeholders
Naturally curious mindset with a passion for experimenting with new AI technologies and workflows
Comfortable collaborating directly with customers, strategists, and engineering teams
Additional Details
6-month contract-to-hire opportunity
Hybrid collaboration model with significant onsite collaboration Tues-Thurs
Travel expected approximately 25-50% depending on customer engagements
Opportunity to work on highly visible enterprise AI initiatives with significant production impact
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