Opening For AI Engineer

We are looking for skilled Gen AI / Agentic AI Engineers and Leads to join our growing AI team. The ideal candidate will have hands-on experience in building, deploying, and scaling Generative AI and Agentic AI solutions using modern LLM frameworks, vector databases, cloud platforms, and MLOps practices. The role involves developing enterprise-grade AI applications, intelligent automation systems, and scalable AI architectures.

Key Responsibilities:

Design, develop, and deploy Generative AI and Agentic AI applications for enterprise use cases.

Build multimodal AI solutions involving text, image, and document processing.

Develop and optimize GenAI pipelines, including data preprocessing, model training, evaluation, and deployment.

Implement LLM orchestration using LangChain, LlamaIndex, Hugging Face Transformers, AutoGen, and OpenAI APIs.

Develop Retrieval-Augmented Generation (RAG) systems with efficient chunking, embeddings, cross-encoders, and hybrid search techniques.

Manage and optimize vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, and Milvus.

Implement MLOps and LLMOps practices, including CI/CD pipelines, model monitoring, automated testing, and drift detection.

Work on prompt engineering and parameter-efficient fine-tuning techniques such as LoRA and QLoRA.

Integrate AI models with enterprise systems using REST APIs, GraphQL, Kafka, and microservices architecture.

Deploy AI workloads across AWS, Azure, or GCP using Docker, Kubernetes, and serverless technologies.

Collaborate with cross-functional teams to develop scalable and production-ready AI solutions.

Required Skills & Qualifications:

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

4-8 years of experience in Generative AI, Machine Learning, Software Engineering, or related domains.

Strong hands-on experience in Generative AI and Agentic AI development.

Proficiency in Python and modern AI/ML frameworks.

Strong knowledge of LLMs, RAG architectures, Vector Databases, and Prompt Engineering.

Experience with LangChain, LlamaIndex, Hugging Face, AutoGen, or similar frameworks.

Experience deploying AI solutions on AWS, Azure, or GCP.

Knowledge of scalable AI architecture, enterprise integrations, and microservices.

Familiarity with MLOps, LLMOps, CI/CD, Docker, and Kubernetes.

Strong problem-solving, analytical, and communication skills.

Willingness to work from office 5 days a week.

• Experience

  4 - 8 Years

• No. of Openings

  10

• Education

  Graduate

• Role

  AI Engineer

• Industry Type

  IT & Software Development

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Full Time

• Work Location Type

  Work from Office