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LLM Application Engineer Job Opening In Bengaluru – Now Hiring Bhavitha Tech, CMMi Level 3 Company


Job description

Role Overview:

We’re looking for an AI Engineer for one of our Tier-1 IT clients with hands-on experience in building, fine-tuning, and optimizing LLM-based applications.

The ideal candidate will have solid expertise in RAG (Retrieval-Augmented Generation) architectures, parameter-efficient fine-tuning (e.G., LoRA), and model quantization techniques for deployment efficiency.

Key Responsibilities:

● Design, implement, and optimize end-to-end LLM-based solutions for real-world applications.

● Develop and maintain RAG pipelines integrating vector databases, embeddings, and retrieval techniques.

● Fine-tune pre-trained language models using LoRA or similar methods.

● Apply quantization and optimization strategies to deploy models efficiently on constrained environments.

● Collaborate with data scientists, software engineers, and product teams to integrate AI features into production systems.

● Monitor, evaluate, and continuously improve model performance and reliability.

Required Skills:

● 3–5 years of experience in AI/ML development or applied NLP.

● Proficient in Python and frameworks such as PyTorch or TensorFlow.

● Strong understanding of LLM architectures (e.G., GPT, Llama, Falcon, Mistral).

● Experience with RAG frameworks (LangChain, LlamaIndex, or custom retrieval setups).

● Hands-on knowledge of LoRA, PEFT, and model quantization (GPTQ, AWQ, or similar).

● Familiarity with vector databases like FAISS, Pinecone, or ChromaDB.

● Good understanding of prompt engineering and evaluation techniques.

● Cloud deployment experience (AWS, Azure, or GCP) is an advantage.

Preferred Skills:

● Exposure to open‑source models and fine-tuning pipelines.

● Experience integrating AI models into web or enterprise products.

● Knowledge of containerization and MLOps (Docker, Kubernetes, MLflow).


Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your LLM Application Potential: Insight & Career Growth Guide


Real-time LLM Application Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for LLM Application in Bengaluru, India, highlighting market share and opportunities for professionals in LLM Application roles.

33987 Jobs in India
33987
2709 Jobs in Bengaluru
2709
Download Llm Application Jobs Trends in Bengaluru and India

Are You Looking for LLM Application Engineer Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Bhavitha Tech, CMMi Level 3 Company adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for LLM Application Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for LLM Application Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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