Role & responsibilities
3 to 5 years of overall software/data engineering experience with a minimum of 3 years in AI development.
Hands-on experience with cloud-based AI platforms (Azure Foundry OR AWS Bedrock).
Proven experience designing and deploying RAG frameworks and GenAI applications.
Solid experience in NLP, LLMs, embeddings, vector databases, and prompt engineering.
Strong fundamentals in AI security, guardrails and observability
Solid hands-on experience in Python and experience building and exposing APIs (FastAPI and Flask).
Ability to review code, mentor team members, and enforce engineering best practices.
Robust analytical, problem-solving, and communication skills.
Familiarity with Docker containers, container orchestration (Kubernetes), and CI/CD pipelines.
Solid understanding of algorithms, data structures, and model evaluation techniques.




Robust problem-solving skills and the ability to explain complex concepts clearly.

Key Responsibilities
Implementation of AI solutions, from problem definition to production deployment.
Provide technical leadership and guidance to Junior AI engineers.
AI implementation including Cloud based solutions and feature engineering.
Implement Generative AI solutions such as chatbots, assistants, and RAG-based architectures.
Review model performance, ensure continuous improvement, and handle model drift and retraining strategies.
Collaborate with data engineering, DevOps, and cloud teams.
Engage with stakeholders to understand requirements.
Ensure responsible AI practices including security, governance, privacy, and explainability.

📌 Job Opening For Ai Developer In Our Organization In Hyderabad
🏢 Youngsoft
📍 Hyderabad