Description

: AI Engineer – LLM & Enterprise AI Solutions (6–8 Years)

Location Bengaluru / Hybrid

Experience 6–8 years (with 3+ years in AI/ML and at least 1–2 years in GenAI/LLM-based solutions)

Role Overview We are seeking an experienced AI Engineer to partner with Data Scientists and build production-grade AI solutions leveraging Large Language Models (LLMs) and enterprise knowledge bases. This role focuses on bridging research and engineering by converting models and prototypes into scalable, secure, and reliable applications following full SDLC practices.

Key Responsibilities
Collaborate closely with Data Scientists to operationalize ML/AI models into production systems
Design and develop LLM-powered applications such as copilots, chatbots, and knowledge assistants
Build Retrieval-Augmented Generation (RAG) pipelines using enterprise data
Integrate AI solutions with knowledge bases, document stores, and vector databases
Develop end-to-end pipelines for ingestion, embedding, retrieval, and inference
Ensure adherence to SDLC processes including testing, deployment, and monitoring




Deploy solutions on cloud platforms with focus on scalability and reliability
Implement MLOps practices including CI/CD, monitoring, and retraining
Ensure security, governance, and responsible AI practices

Required Skills
Hands-on experience with LLMs (OpenAI, Azure OpenAI, Hugging Face)
Solid understanding of RAG, embeddings, prompt engineering
Proficiency in Python / Java and API development
Experience with Java Spring boot / FastAPI/ Flask and microservices
Knowledge of vector databases like FAISS or Pinecone
Experience in SQL, big data technologies (Spark, Redshift), complex data processing, and data modeling.
Cloud deployment experience (Azure/AWS/GCP)
Familiarity with Docker, Kubernetes, CI/CD

Preferred Qualifications
Experience in enterprise settings
Knowledge of LangChain, LlamaIndex, Semantic Kernel
Understanding of model monitoring and observability
Awareness of security, compliance, and data privacy

Education Bachelor’s or Master’s in Computer Science, Data Science, AI, or related field

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