AI Engineer with DataScience

AI Engineer with DataScience

No. of positions: 3
Remote/India, EST overlap 4 hours
Strong DataScience background must
Immediate- 1week availability

Position Summary

We are looking for a Mid-Senior AI Engineer with 5–8 years of software engineering experience and a strong foundation in Data Structures and Algorithms to design, build, and scale AI-powered applications. The ideal candidate is an experienced Python developer with hands-on expertise in Generative AI, Large Language Models (LLMs), and modern AI frameworks. This role requires a combination of deep technical expertise, architectural thinking, and the ability to mentor engineers while delivering scalable, production-grade AI solutions.

Key Responsibilities

• Design, develop, and deploy scalable AI-powered applications and intelligent services.
• Architect and implement AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and vector search technologies.
• Apply strong Data Structures and Algorithms principles to build efficient, scalable, and high-performance systems.
• Develop and optimize backend services, APIs, and AI pipelines using Python.
• Integrate AI models with internal applications, cloud services, and third-party platforms.
• Optimize AI applications for performance, latency, scalability, reliability, and cost.
• Evaluate emerging AI models, frameworks, and technologies to drive innovation and continuous improvement.
• Conduct code reviews and establish engineering best practices for AI application development.
• Mentor junior engineers and provide technical guidance on solution design and implementation.
• Collaborate with Product Managers, Data Scientists, QA, and Engineering teams to deliver high-quality AI solutions.
• Troubleshoot production issues and drive continuous improvements in system performance and reliability.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline.
• 5–8 years of professional data scienceexperience.
• At least 3 years of hands-on experience developing AI or Machine Learning applications.
• Strong expertise in Python and object-oriented programming.
• Excellent understanding of Data Structures, Algorithms, design patterns, and software architecture.
• Hands-on experience with Large Language Models (OpenAI, Anthropic, Google Gemini, or open-source models).
• Experience building production AI applications using frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar.
• Experience implementing Retrieval-Augmented Generation (RAG), vector embeddings, and semantic search solutions.
• Familiarity with vector databases such as Pinecone, Chroma, Weaviate, FAISS, or Milvus.
• Experience developing RESTful APIs and microservices.
• Strong knowledge of SQL and NoSQL databases.
• Experience with Git, CI/CD pipelines, automated testing, and software engineering best practices.

About Turing

Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. They connect elite AI professionals with frontier model training projects, offering competitive compensation for domain expertise across coding, STEM, creative writing, and more.

How To Apply

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