What are the responsibilities and job description for the Machine Learning Engineer position at Talently?
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.
Salary : $160,000 - $210,000