AI/ML & Forward Deployed Engineer

📋 Description

• Design, develop, and deploy ML, AI, and GenAI solutions from proof of concept to production.
• Build and optimize ML models across DL, NLP, forecasting, classification, regression, and anomaly
• Develop GenAI apps with 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, gRPC, and event-driven architectures.
• Establish MLOps and LLMOps practices: 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, deep learning, and ML techniques.
• Experience with NLP, forecasting, classification, regression, anomaly detection.
• Proven GenAI experience using LLMs and RAG architectures.
• Knowledge 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.
• Contribute to AI solutions from concept to production deployment.
• Work on technically challenging projects emphasizing scalability, security, governance, and