AI/ML & Forward Deployed Engineer

📋 Description

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

🎯 Requirements

• 8+ years of professional software engineering or technical engineering experience.
• Strong hands-on experience in Machine Learning and AI/ML Engineering.
• Advanced Python development with deep learning and ML techniques.
• Experience with NLP, forecasting, classification, regression, and anomaly detection.
• Proven experience building GenAI apps using LLMs and Retrieval-Augmented Generation (RAG).
• Understanding of embeddings, retrieval tuning, reranking, prompt engineering, and AI/LLM evaluation

🎁 Benefits

• Competitive annual salary of $100,000–$120,000.
• Full-time opportunity with a remote working model.
• Opportunity to work on cutting-edge AI, ML, and GenAI solutions.
• Hands-on exposure to LLMs, RAG, MLOps, LLMOps, Kubernetes, and cloud-native practices.
• Chance to contribute from concept to production deployment.
• Focus on scalability, security, governance, and observability.