Sr AI/ML Engineer
Programmers.io is currently looking for an "Sr AI/ML Engineer" Remote Role . Full Time Role (W2 Only) with benefits Job Summary We are seeking an AI/ML Engineer with a strong blend of Full-Stack Software Engineering and Applied AI expertise to design, build, and optimize Generative AI-powered applications. The role involves developing scalable AI solutions, integrating LLMs into enterprise applications, implementing agentic workflows, and delivering secure, production-grade solutions that drive business value.
Key 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.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or a related field.
- 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.
- Proficiency in Python (mandatory) and experience with Java and React JS preferred.
- 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. If you are interested, please apply or feel free to share your updated resume at [email protected]