oracle
Gen AI Lead Engineer - Python, FAST API
Xactware
Hyderabad, IND
Full-time
Lead · 5+ years experience
Hybrid
Discovered 3 weeks ago
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Key Skills for This Role
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Qualifications
- 5 years of experience in software engineering, AI/ML, or related technical roles. • Strong hands-on programming skills in Python. • Experience building backend applications and REST APIs using FastAPI, Flask, or Django. • Practical experience working with Generative AI or LLM-based applications. • Understanding of Retrieval-Augmented Generation (RAG) concepts and semantic search. • Experience with vector databases such as Pinecone, OpenSearch, or similar technologies. • Experience integrating AI models or services such as OpenAI, Anthropic, AWS Bedrock, Hugging Face, or open-source LLMs. • Experience with AWS cloud services and deploying applications in cloud environments. • Understanding of software engineering best practices including: o Unit testing o Integration testing o Git/version control o CI/CD workflows • Strong debugging, analytical, and problem-solving skills. • Good communication and collaboration skills.
- Must have Qualifications • Experience with prompt optimization and AI evaluation techniques. • Exposure to NLP • Understanding of design patterns and scalable application architecture. • Experience working in agile development environments.
- 5 years of experience in software engineering, AI/ML, or related technical roles. • Strong hands-on programming skills in Python. • Experience building backend applications and REST APIs using FastAPI, Flask, or Django. • Practical experience working with Generative AI or LLM-based applications. • Understanding of Retrieval-Augmented Generation (RAG) concepts and semantic search. • Experience with vector databases such as Pinecone, OpenSearch, or similar technologies. • Experience integrating
Responsibilities
- Design, develop, and deploy Generative AI applications using Large Language Models (LLMs) and modern AI frameworks. • Build and maintain scalable backend services and REST APIs using Python frameworks such as FastAPI, Flask, or Django. • Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search solutions using vector databases. • Integrate commercial and open-source LLMs into enterprise applications. • Develop prompt engineering workflows and support AI model evaluation and optimization. • Deploy and support AI applications on AWS cloud platforms. • Participate in troubleshooting and optimizing AI systems for latency, reliability, scalability, and cost efficiency. • Collaborate with cross-functional teams across onshore and offshore locations. • Write clean, maintainable, and testable code following software engineering best practices. • Participate in code reviews, unit testing, integration testing, and CI/CD processes. • Stay updated on emerging trends and technologies in Generative AI and applied machine learning.
- Design, develop, and deploy Generative AI applications using Large Language Models (LLMs) and modern AI frameworks. • Build and maintain scalable backend services and REST APIs using Python frameworks such as FastAPI, Flask, or Django. • Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search solutions using vector databases. • Integrate commercial and open-source LLMs into enterprise applications. • Develop prompt engineering workflows and support AI model evaluation and
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