Machine Learning Engineer

Job Title: Machine Learning Engineer Location: Remote Salary: $160,000-$210,000 Skills: Large Language Models, Conversational AI, Prompt Engineering, Python, Memory Systems About the Software Development Company / The Opportunity: Join a visionary company in the software development industry, revolutionizing how people interact and communicate through AI-powered platforms. Our client is building state-of-the-art conversational intelligence systems that blend adaptive AI, large language models, and behavioral science to create emotionally intelligent user experiences. As a Machine Learning Engineer, you will architect and enhance the intelligence layer behind a next-generation AI platform, collaborating with industry experts in a fast-paced, innovative, and early-stage environment. Responsibilities: Design and develop conversational AI systems powered by large language models (LLMs). Build and optimize AI response pipelines, prompt orchestration, and conversational workflows. Develop memory and context-management systems to ensure conversational continuity across sessions. Create governed response frameworks enforcing behavioral rules, safety constraints, and response consistency. Advance model behavior through prompt engineering, fine-tuning, evaluation, and reinforcement techniques. Architect adaptive and personalized AI interactions based on user context and evolving needs. Enable AI decision-making, contextual reasoning, and workflow selection beyond text generation. Evaluate and continually improve model quality, latency, reliability, and scalability. Collaborate with product and engineering leadership to experiment and develop new features. Stay ahead of emerging trends in LLMs, conversational AI, agentic systems, and AI safety/alignment. Must-Have Skills: Proven experience building conversational AI, AI assistants, or agentic AI systems. Deep hands-on expertise with large language models and modern LLM ecosystems. Strong command of prompt engineering, fine-tuning, model evaluation, or RLHF workflows. Experience with conversational state management, memory systems, and maintaining context. Demonstrated ability to implement governed/constrained AI with safety or policy controls. Advanced Python development skills and proficiency with ML/AI frameworks. Skilled in using APIs, orchestration frameworks, vector databases, and retrieval systems. Track record of rapidly prototyping and iterating in dynamic, fast-paced settings. Strong analytical, problem-solving, and product intuition abilities. Comfortable navigating ambiguous early-stage product environments. Nice-to-Have Skills: Experience creating adaptive or personalized AI systems. Familiarity with multi-agent workflows or AI decision-making architectures. Knowledge of frameworks such as LangChain, LangGraph, LlamaIndex, Hugging Face, or PyTorch. Expertise in RAG pipelines, embeddings, vector search, and advanced memory architectures. Background in behavioral AI, communication technology, coaching, wellness, or healthcare-focused platforms. Previous exposure to startup or early-stage company environments. Show more Show less