Forward Deployed Ai Engineer

Summary

Join Nexla, a leading AI-powered integration platform, as a Forward Deployed AI Engineer. You will play a crucial role in implementing AI solutions for our customers, running successful proofs of concept (PoCs), and ensuring their success. This position blends several key roles, including AI Implementation Engineer, Data Scientist, ML Engineer, Product Owner, and Technical Consultant. You will leverage LLMs to solve customer problems, analyze data patterns, build AI models, and take ownership of AI feature success. The ideal candidate possesses strong ML/AI knowledge, data engineering skills, and a customer-centric mindset. This is a high-velocity role requiring a fast learner with an ownership mentality.

Requirements

• Strong Understanding of ML/AI - Strong knowledge of ML/AI algorithms, model deployment, and AI implementation patterns
• Data engineering foundation - Advanced Python, SQL
• Production AI experience - Track record of building products on top of LLM’s in production environments
• Customer-centric mindset - Excellent communicator who can explain complex AI concepts to technical and non-technical stakeholders
• Fast learner - Ability to quickly understand new use cases and adapt AI solutions to different business contexts
• Ownership Mentality - Intrinsically motivated to make customers successful with strong technical chops
• High velocity - You love building and shipping software that delights customers at a high-pace
• Experience with ML/AI models
• Proficiency in data preprocessing
• Understanding of ML ops and model serving architectures with a perspective on LLMOps
• Knowledge of AI performance optimization and troubleshooting
• Familiarity with distributed computing and large-scale data processing

Responsibilities

• Use LLMs to solve customer-specific problems
• Analyze customer data patterns, build AI models
• Design and implement ML models for tasks like Anomaly Detection
• Take full ownership of AI feature success, demonstrate entrepreneurial spirit in solving customer challenges
• Help customers understand and maximize value from our AI capabilities

Preferred Qualifications

• 2+ years of experience in AI/ML implementation roles
• Track record of owning end-to-end AI projects
• Background in production ML systems and intelligent data pipelines
• Knowledge of various AI model deployment patterns
• Familiarity with enterprise AI governance requirements
• Have worked with PyTorch and Ray

Benefits

Remote-first company