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 science experience.
• 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.