AI/ML & Forward Deployed Engineer

📋 Description

• Design, develop, and deploy ML, AI, GenAI solutions from proof of concept to production.
• Build and optimize ML models for DL, NLP, forecasting, classification, regression, anomaly
• Develop GenAI apps using LLMs, RAG, embeddings, retrieval optimization, reranking, prompt
• Design AI evaluation frameworks for quality, reliability, relevance, and performance.
• Build scalable AI services via REST/gRPC APIs and event-driven setups.
• Establish MLOps/LLMOps with deployment, automation, versioning, monitoring, lifecycle.

🎯 Requirements

• 8+ years of professional software engineering or technical engineering experience.
• Strong hands-on ML/AI engineering experience.
• Advanced Python and hands-on DL/ML techniques.
• Experience with NLP, forecasting, classification, regression, anomaly detection.
• Proven GenAI app development using LLMs and RAG.
• Deep knowledge of embeddings, retrieval tuning, reranking, prompt engineering, AI/LLM eval methods.

🎁 Benefits

• Competitive annual salary of $100,000–$120,000.
• Full-time remote opportunity.
• Work on cutting-edge AI, ML, GenAI solutions.
• Hands-on exposure to LLMs, RAG, MLOps, LLMOps, Kubernetes, cloud-native practices.
• Opportunities to contribute from concept to production deployment.
• Partner with stakeholders on scalable, secure AI solutions.