onsite
AI Engineer Agentic AI - Luxoft
AI Engineer
AI Engineer responsible for designing and implementing an Agentic AI solution that extracts investment insights from sales and research data, collaborating with business analysts, architects, and cross‑functional development teams.
About the role
Key Responsibilities
- Collaborate with business analysts, architects, and product owners to translate investment‑insight requirements into technical specifications.
- Design, develop, and fine‑tune Agentic AI models that ingest sales and research documents and generate actionable client‑meeting insights.
- Integrate AI components into a scalable cloud environment, ensuring low latency and high availability.
- Work closely with developers, UI/UX designers, and copywriters to deliver end‑to‑end features and iterate based on stakeholder feedback.
- Produce technical documentation, model evaluation reports, and present recommendations to both technical and non‑technical audiences.
Requirements
- Strong experience with Python and modern ML/NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
- Hands‑on expertise in building and deploying Agentic or generative AI systems, including prompt engineering and reinforcement learning from human feedback.
- Proficiency in cloud platforms (AWS preferred) for model serving, data pipelines, and CI/CD.
- Ability to quickly grasp domain concepts in finance/investments and translate them into AI solutions.
- Excellent communication skills and a collaborative mindset for working with cross‑functional teams.
Skills
pythonmachine learningnatural language processingaws