Lead the full lifecycle of AI feature development from research, prototyping to production and continuous improvement with feedback from stakeholders for value extraction
Job Summary
Lead the full lifecycle of AI feature development from research, prototyping to production and continuous improvement with feedback from stakeholders for value extraction.
Design, develop, and operationalize applications that leverage diverse modalities such as text, vision, and structured data by applying various techniques and utilize frameworks that support developing identified techniques.
Collaborate with product teams, research teams and domain experts to identify high-impact use cases where AI can deliver tangible improvements, quantify ROI, and communicate results effectively.
Matching Summary
Lead the full lifecycle of AI feature development from research, prototyping to production and continuous improvement with feedback from stakeholders for value extraction.
Skills & Requirements
Must-have
Applied AI based application development
Object-oriented programming languages
Advanced Python skills
Generative AI (LLMs and Multi Modal)
Docker, Kubernetes, GitLab CI/CD
Vector databases and data preprocessing
Nice-to-have
LLM-centric agents and enterprise copilots
LangGraph and Semantic Kernel familiarity
LLM performance evaluation frameworks
Domain experience in Aerospace
Computer vision and NLP techniques
Key Requirements
6-10 years in software or ML engineering
At least 3 years in applied AI
Experience with enterprise and open source frontier models
Hands-on with Docker, Kubernetes, GitLab CI/CD
Practical understanding of RDMS and vector databases