Artificial Intelligence Engineer

About the job

About Client:

Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.

Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.

Job Title : Artificial Intelligence Engineer

Key Skills : AI,ML,Python,OOPS,LLM,

Experience : 6 -8 Years

Location: Hyderabad

Education Qualification : Any Graduation

Work Mode : Hybrid

Employment Type : Contract to Hire

Notice Period : Immediate - 10 Days.

We are seeking a highly skilled Senior AI/ML Engineer with deep expertise in Python programming, LLMs, and Generative AI ecosystems. The ideal candidate will have strong fundamentals in machine learning, deep learning, and a solid understanding of modern AI pipelines involving RAG (Retrieval-Augmented Generation), LangChain/LangGraph, document ingestion, and vector databases. This role requires both hands-on technical expertise and strong programming discipline, with the ability to design, build, and deploy scalable AI solutions that integrate structured and unstructured data sources into real-world intelligent applications. Roles and Responsibilities Design, train, and fine-tune Large Language Models (LLMs) for domain-specific applications.pipelines for context-aware responses using enterprise data. Work with LangChain, LangGraph, and similar frameworks to build modular, production-ready AI workflows. Develop efficient document ingestion and vectorization pipelines to index, embed, and query knowledge bases using vector databases like Pinecone, FAISS, or Chroma. AI/ML Engineering & Programming Excellence Write high-quality, modular, and maintainable code in Python, applying strong software engineering principles. Build and optimize data pipelines for feature extraction, preprocessing, and model training. Apply deep learning and machine learning concepts for both traditional and generative use cases. Implement prompt engineering and context optimization strategies to enhance LLM performance. MLOps & Deployment Develop end-to-end AI workflows with CI/CD, Docker, and Kubernetes. Deploy models on cloud platforms (GCP Vertex AI, AWS SageMaker, Azure ML).