AI/ML & Forward Deployed Engineer

📋 Description

• Design, develop, and deploy ML/AI/GenAI solutions from PoC to production.
• Build and optimize ML models for DL, NLP, forecasting, classification, regression, anomaly
• Develop GenAI apps using LLMs, RAG, embeddings, retrieval, reranking, prompts.
• Design AI evaluation frameworks for quality, relevance, performance.
• Build AI services via REST, gRPC, and event-driven architectures.
• Establish MLOps/LLMOps, automations, versioning, monitoring, lifecycle.

🎯 Requirements

• 8+ years of professional software/technical engineering.
• Strong hands-on ML/AI engineering experience.
• Advanced Python and DL/ML techniques.
• Experience with NLP, forecasting, classification, regression, anomaly detection.
• GenAI apps with LLMs and Retrieval-Augmented Generation.
• Embeddings, retrieval tuning, prompt engineering, AI/LLM eval methods.

🎁 Benefits

• Competitive salary $100,000–$120,000.
• Full-time remote role.
• Work on cutting-edge AI/GenAI.
• Exposure to LLMs, RAG, MLOps, Kubernetes, cloud-native practices.
• Contribute from concept to production deployment.
• Focus on scalability, security, governance, observability.