Job Description

Key Responsibilities :

Design end-to-end AI/ML and Generative AI architectures.
Define technical solutions for scalable and secure AI applications.
Work with LLMs, RAG, prompt engineering, embeddings, and vector databases.
Develop and integrate AI solutions using Python and modern AI/ML frameworks.
Design cloud-based AI solutions using AWS/Azure/GCP.
Collaborate with data scientists, ML engineers, developers, and business teams.
Establish best practices for model deployment, monitoring, security, and scalability.
Evaluate emerging AI technologies and recommend suitable solutions.
Provide technical leadership and participate in architecture/design reviews.

Required Skills

7+ years of experience in AI/ML, software engineering, or related technology roles.
Strong expertise in AI/ML architecture and solution design.
Hands-on experience with Python, Machine Learning, Deep Learning, and Generative AI.
Strong understanding of LLMs, RAG,



Prompt Engineering, Embeddings, and Vector Databases.
Experience with frameworks such as LangChain, LlamaIndex, TensorFlow, PyTorch, or similar.
Solid experience with at least one cloud platform: AWS, Azure, or GCP.
Knowledge of MLOps, CI/CD, Docker, Kubernetes, and model deployment.
Understanding of AI security, governance, scalability, and performance optimization.
Strong communication, problem-solving, and technical leadership skills.

Preferred Skills

Experience with OpenAI, Azure OpenAI, AWS Bedrock, or similar GenAI platforms.
Experience designing enterprise-grade GenAI applications.
Knowledge of Agentic AI and AI agents.
Experience with APIs, microservices, and event-driven architectures.
Cloud/AI certifications are an added advantage.

(ref:hirist.tech)

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