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AI Engineer with Data Science
India
July 30, 2026
Job description
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 deep technical expertise, architectural thinking, and the ability to mentor engineers while delivering scalable, production-grade AI solutions.
Engagement details: 3 positions. Remote / India, with a 4-hour overlap with EST. Immediate (within 1 week) availability preferred.
Key Responsibilities
- Design, develop, and deploy scalable AI-powered applications and intelligent services
- Architect and implement AI solutions using LLMs, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and vector search
- Apply strong Data Structures and Algorithms principles to build efficient, 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 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
- Troubleshoot production issues and drive continuous improvements in 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 science experience, with at least 3 years building 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 LLMs (OpenAI, Anthropic, Google Gemini, or open-source models)
- Experience building production AI applications with LangChain, LlamaIndex, Semantic Kernel, or similar
- Experience implementing RAG, vector embeddings, and semantic search
- 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
Apply now
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