AI/ML & Forward Deployed Engineer

📋 Description

• Design, develop, and deploy machine learning, AI, and GenAI solutions from proof of concept through
• Build and optimize ML models and applications in deep learning, NLP, forecasting, classification
• Develop production-grade GenAI apps using LLMs, RAG pipelines, embeddings, retrieval optimization
• Design AI evaluation frameworks to assess quality, reliability, relevance, and performance.
• Build scalable AI services and integrations via REST and gRPC APIs and event-driven architectures.
• Establish and maintain MLOps and LLMOps practices across deployment, automation, versioning

🎯 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 skills with practical experience in 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)
• Strong understanding of embeddings, retrieval tuning, reranking, prompt engineering, and AI/LLM

🎁 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.
• Opportunity to contribute to AI solutions from concept to production deployment.
• Work on technically challenging projects focusing on scalability, security, governance, and