[Remote] Machine Learning Engineer
Note: The job is a remote job and is open to candidates in USA. Talently is a visionary company in the software development industry, revolutionizing how people interact and communicate through AI-powered platforms. As a Machine Learning Engineer, you will architect and enhance the intelligence layer behind a next-generation AI platform, collaborating with industry experts to develop conversational AI systems and improve user experiences.
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
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
- 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
Company Overview