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EON Group
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AI/LLM Engineer

AI/LLM Engineer

1 - 4 years

|

10 - 15 Lacs

chennai bengaluru

Posted:2 weeks ago| Platform:

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Skills Required

generative ai mlops model deployment python ai safety & compliance. langchain hugging face transformers azure openai api development grpc docker hallucination reduction pii redaction ci/cd kubernetes

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities :

Design and implement end-to-end data pipelines for training and fine-tuning LLMs, including dataset creation, cleaning, augmentation, and labeling workflows.

Apply advanced RAG techniques, prompt engineering, and model fine-tuning (LoRA, PEFT, adapters) for domain-specific use cases.

Integrate AI models with backend and frontend systems via APIs, batching, caching, and streaming responses.

Deploy and optimize LLMs & embeddings using APIs and/or open-source models (OpenAI, Anthropic, LLaMA-family, Mistral, etc.).

Develop and maintain secure AI APIs using FastAPI/gRPC with Kubernetes and CI/CD pipelines.

Implement safety and compliance layers including prompt injection defenses, hallucination reduction, and PII redaction.

Collaborate with MLOps and platform engineering teams to ensure scalable deployment using Docker, Kubernetes, and Ray/Serve.

Leverage frameworks such as LangChain, Hugging Face Transformers, and Azure OpenAI for model orchestration and integration.

Work with vector databases (FAISS, Pinecone, Milvus) to build efficient retrieval-augmented generation pipelines.

Mandatory Skills:

Strong experience with LLMs, embeddings, and fine-tuning techniques.

Proficiency in Python and experience in LangChain/Hugging Face.

Hands-on experience with MLOps (Docker, Kubernetes, CI/CD).

Strong knowledge of model integration and scalable API development.

Familiarity with safety and compliance mechanisms in AI systems.

Desirable / Plus:

Exposure to speech-to-text models (e.g., Whisper) with emphasis on Indian languages.

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