Design and implement AI copilot features for productivity tools, IDEs, or enterprise platforms.
Work with LLMs, APIs, and prompt engineering to enhance conversational and contextual intelligence.
Collaborate with cross-functional teams to deeply understand user journeys and integrate AI effectively.
Develop scalable backend components and microservices for copilot integration.
Analyze user behavior and feedback to improve copilot responsiveness and performance.
Ensure data privacy, ethical AI use, and adherence to regulatory standards in all copilot interactions.
to 12.3 years of professional experience in software engineering, ML/AI systems, or related domains.
Strong programming skills in Python, JavaScript/TypeScript, or a similar language.
Experience with AI/ML models, especially LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.).
Familiarity with prompt engineering, RAG (Retrieval-Augmented Generation), and embeddings is a big plus.
Hands-on experience with RESTful APIs, cloud platforms (Azure, AWS, GCP), and scalable system design.
Excellent problem-solving and communication skills.
Emergo Systems B.V.
Lincoln Financial Group
LivaNova
Paymentology
GrowthAssistant