Forward Deployed Engineer
About The Position
We are seeking a highly skilled Forward Deployed Engineer with expertise in Full Stack Java Development, AI/ML Engineering, and Generative AI solutions. This role combines software engineering, data engineering, and AI solution development to solve complex business challenges. The ideal candidate will work closely with business stakeholders, operations teams, and subject matter experts to design, build, deploy, and scale production-grade AI-powered applications and intelligent automation solutions. As a Forward Deployed Engineer, you will rapidly prototype innovative solutions, integrate AI capabilities into enterprise ecosystems, and transform successful outcomes into reusable platform services that drive business value at scale.
Requirements
- 8 to 10 years of experience in Software Engineering, Machine Learning, Data Engineering, or related domains.
- 3 to 5 years of hands-on experience designing and deploying Agentic AI and Generative AI solutions.
- Strong proficiency in Java and/or Python with experience in REST APIs, microservices, and distributed systems.
- Hands-on experience with LLMs, AI Agents, RAG architectures, prompt engineering, and AI evaluation frameworks.
- Experience working with MongoDB, Kafka, event-driven architectures, and enterprise-scale applications.
- Strong SQL and data engineering expertise, including Spark and Databricks.
- Proven experience deploying, monitoring, and supporting production AI/ML solutions at enterprise scale.
- Excellent problem-solving, stakeholder management, communication, and customer-facing solution engineering skills.
Responsibilities
- Design, develop, and deploy production-grade AI/ML solutions leveraging Traditional ML, LLMs, Agentic AI, RAG, and workflow automation frameworks.
- Build scalable backend services, APIs, and microservices using Java/Python, MongoDB, Kafka, and event-driven architectures.
- Develop intelligent AI agents using tool calling, MCP, prompt engineering, context management, guardrails, and evaluation frameworks.
- Integrate AI solutions with enterprise applications, business workflows, APIs, and data platforms to drive operational outcomes.
- Analyze operational and historical data using SQL, Spark, and Databricks to identify root causes and implement data-driven solutions.
- Collaborate with Operations teams and business stakeholders to rapidly prototype, deploy, measure impact, and scale AI-powered solutions.
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
