AI / Machine Learning Engineer

About the Role We are hiring an AI / Machine Learning Engineer to help our clients and internal teams build intelligent product features that deliver measurable value. You will design LLM-powered workflows, retrieval systems, and automation tools that are reliable, secure, and ready for real users—not just prototypes. Key Responsibilities - Design and implement AI features such as copilots, chat assistants, and workflow automation. - Build RAG pipelines including document ingestion, embedding, retrieval, and response generation. - Integrate OpenAI, LangChain, or similar tools into production web and backend systems. - Evaluate model outputs for accuracy, latency, cost, and safety before release. - Work with engineers to embed AI capabilities into existing products and APIs. - Document architectures, prompts, and operational runbooks for maintainability. - Stay current with emerging AI tooling and recommend practical adoption strategies. Requirements - 2+ years of software engineering experience with at least 1 year focused on AI/ML applications. - Hands-on experience with LLM APIs, prompt engineering, and vector databases. - Strong Python or TypeScript skills and comfort working in full-stack environments. - Understanding of data privacy, API security, and production deployment considerations. - Ability to explain trade-offs between model quality, speed, and cost. Eligible to work in the United States. Nice to Have - Experience with LangChain, LlamaIndex, FastAPI, or similar frameworks. - Background in NLP, data engineering, or MLOps practices. - Familiarity with AWS, Docker, and monitoring AI systems in production. What We Offer - Work on cutting-edge AI products with real business use cases. Remote-friendly role with flexible collaboration across engineering teams. - Room to grow into lead or architect roles as the practice expands. Competitive compensation based on experience.