Note: The job is a remote job and is open to candidates in USA. Diverse Lynx is seeking an AI/ML Engineer to design, build, and optimize secure, production-grade Generative AI applications. The role focuses on developing AI-powered features, integrating LLMs into enterprise applications, implementing RAG and agentic workflows, and improving model performance, scalability, and reliability while collaborating with product, data, and engineering teams.
Responsibilities
- Develop and enhance AI-powered features such as chatbots, summarization, knowledge search, and data extraction using LLMs
- Design and implement RAG (Retrieval-Augmented Generation) solutions, including data preprocessing, embeddings, vector search, and retrieval optimization
- Build and integrate AI services using OpenAI, Azure AI, and open-source LLMs
- Develop agentic AI workflows, multi-agent frameworks, and intelligent automation solutions
- Improve model performance, reliability, and accuracy through prompt engineering, evaluation, guardrails, and fine-tuning techniques
- Work with vector databases such as FAISS, Pinecone, and pgvector
- Optimize AI applications for latency, throughput, scalability, and cost efficiency using caching, batching, quantization, and model optimization techniques
- Collaborate with product, data, and engineering teams to deliver high-quality AI solutions
- Participate in architecture discussions, code reviews, and knowledge-sharing initiatives
Skills
- • Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field
- • 4–10 years of experience in Applied AI, Machine Learning, Software Engineering, and Digital Transformation
- • Strong experience designing and deploying enterprise-scale AI solutions using Generative AI, LLMs, AI Agents, and Intelligent Automation
- • Hands-on expertise in PyTorch, SQL, OpenAI APIs, FastAPI, Flask, Streamlit, REST APIs, Docker, and modern application architectures
- • Strong understanding of machine learning fundamentals, deep learning, statistics, optimization, feature engineering, and model development
- • Experience with NLP/NLU, semantic search, transformer architectures, embeddings, and model interpretability
- • Knowledge of Azure, AWS, and GCP cloud AI services
- • Ability to communicate technical AI concepts effectively to business and leadership stakeholders
- • Proficiency in Python (mandatory) and experience with Java and React JS preferred
- • MLOps, React JS , Java Backend , CI/CD for ML, model monitoring, lifecycle management, Kubernetes, Docker, and JFrog
- • Experience deploying ML models to production environments
- • Distributed ML and scalable data platforms (e.g., Spark)
- • Multimodal AI, including Computer Vision and Speech Recognition (ASR)
- • Knowledge of AI governance, Responsible AI, security, compliance, and model lifecycle management
- • Experience in healthcare, life sciences, payer/provider, or other regulated industries
- • Experience leading Agile teams and collaborating across cross-functional stakeholders
Company Overview
Company H1B Sponsorship