AI Software Architect

1 day ago

Gandhinagar, Gujarat, India beBeeSoftware Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

AI Software Architect Position

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We are seeking a talented AI Software Architect to join our team.

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  • The successful candidate will be responsible for leading the development and integration of Python-based applications with Large Language Models (LLMs).
  • This includes architecting and implementing LLM pipelines, including prompt engineering, retrieval-augmented generation, fine-tuning, and evaluation.
  • Additionally, they will design scalable microservices and APIs for AI features.
  • Collaboration with MLOps teams to deploy and monitor AI models in production is also a key aspect of this role.
  • The ideal candidate will ensure performance optimization, cost efficiency, and security in LLM workflows.
  • They will guide the team on Python best practices, code reviews, and technical problem-solving.
  • Maintaining up-to-date knowledge of emerging AI/LLM advancements and proposing adoption where beneficial is essential.
">Required Skills and Qualifications:">
  • Python Proficiency: Strong proficiency in Python, including experience with FastAPI and Flask.
  • LLM Integration: Solid experience with LLM integration, including OpenAI API and Hugging Face Transformers.
  • RAG Pipelines: Understanding of RAG pipelines, including vector databases like Pinecone, Weaviate, FAISS, and Milvus.
  • Prompt Engineering: Experience with prompt engineering and evaluation techniques.
  • MLOps Tools: Knowledge of MLOps tools, including MLflow, Kubeflow, and Langfuse, and deployment on AWS/GCP/Azure.
  • Containerization and Orchestration: Familiarity with containerization and orchestration, including Docker and Kubernetes.
  • REST APIs and Microservices: Strong grasp of REST APIs, GraphQL, and microservices architecture.
">Benefits:">
  • Leadership Opportunities: Excellent leadership and mentoring abilities.
  • Problem-Solving and Analytical Skills: Strong problem-solving and analytical skills.
  • Effective Communication: Effective communication with technical and non-technical stakeholders.
  • Flexibility and Adaptability: Ability to work in a fast-paced, evolving AI environment.
">Others:">
  • Agentic AI or Model Context Protocol: Experience with agentic AI or Model Context Protocol (MCP).
  • Data Pipelines: Background in data pipelines, including ETL and streaming data.
  • AI Security and Compliance: Exposure to AI security and compliance practices.
  • Scalable Enterprise AI Products: Prior work in scalable enterprise AI products.

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