LLM Specialist

TRDFIN Support Services Pvt Ltd; Gurugram District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading technology firm is seeking a skilled LLM Specialist in Gurugram, India. The candidate should have over 2 years of experience in developing and optimizing large language models. Responsibilities include fine-tuning models, collaboration with cross-functional teams, and ensuring compliance with ethical AI standards. This full-time position requires strong analytical skills and the ability to work in fast-paced environments. Join our team and contribute to innovative AI-driven solutions.

Qualifications

• 2+ years of experience in LLM, NLP, and AI systems.
• Experience fine-tuning and optimization of language models.
• Strong communication skills and ability to work cross-functionally.

Responsibilities

• Fine-tune and optimize large language models.
• Integrate LLMs into backend systems and APIs.
• Implement responsible AI practices and compliance standards.

Skills

NLP understanding

Experience with Python

Familiarity with Transformers

API integration

Analytical problem-solving

Tools

Hugging Face

LangChain

TensorFlow

Pinecone

Job description

Manager - HR | MBA in Human Resources Development#LinkedInCertifiedRecruiter

About the Role

We are seeking a skilled LLM Specialist with 2+ years of hands-on experience working with Large Language Models, NLP pipelines, prompt engineering, and model fine-tuning. The role involves building AI-driven solutions, optimizing model performance, developing conversational agents, and integrating LLMs into real-world applications.

You will collaborate with data scientists, ML engineers, and product teams to develop efficient, ethical, and scalable AI systems.

Key Responsibilities

1. LLM Development & Optimization

• Fine-tune and optimize large language models (GPT, Llama, Mistral, Falcon, etc.).
• Customize LLMs for domain‑specific tasks: conversation, summarization, classification, content generation.
• Work on model evaluation, prompt design, and reinforcement feedback loops.
• Build NLP pipelines for text processing, entity recognition, sentiment analysis, and retrieval augmented generation (RAG).
• Implement embeddings, vector search, and semantic similarity models.
• Design effective prompts, system instructions, and multi‑step workflows.
• Test, validate, and iterate prompts for accuracy and contextual alignment.

4. RAG Systems & Knowledge Integration

• Implement document ingestion, chunking, embeddings, and retrieval workflows.
• Enhance AI responses using structured + unstructured knowledge sources.

5. AI Integration & Deployment

• Integrate LLMs into backend systems, APIs, chatbots, and enterprise applications.
• Work with frameworks like LangChain, LlamaIndex, Haystack, or custom pipelines.
• Implement testing, monitoring, and performance optimization for deployed models.

6. Safety, Ethics & Compliance

• Apply responsible AI practices, bias detection, and output safety checks.
• Ensure models comply with data privacy, PII handling, and compliance standards.
• Conduct model red‑teaming and robustness evaluations.
• Collaborate with product, engineering, and research teams to define AI features.
• Create documentation, model versions, datasets, and best practices.
• Stay updated with emerging LLM architectures, training techniques, and open‑source tools.

Required Skills & Qualifications

Technical Skills

• Strong understanding of NLP, Transformers, embeddings, and LLM architectures.
• Experience with Python and libraries such as Hugging Face, Transformers, LangChain, Pydantic.
• Knowledge of vector databases (Pinecone, Chroma, FAISS, Weaviate).
• Ability to fine‑tune and deploy models on GPU/Cloud setups.
• Familiar with ML frameworks: PyTorch, TensorFlow.
• Experience with API‑based LLMs (OpenAI, Anthropic, Google, etc.).
• Understanding of evaluation metrics (BLEU, ROUGE, perplexity, accuracy).

Soft Skills

• Strong analytical and problem‑solving ability.
• Clear communication and documentation skills.
• Ability to work cross‑functionally and handle fast‑paced environments.

Preferred Qualifications

• Experience with RAG, agentic workflows, or AI automation tools.
• Exposure to GPU environments, model quantization, and optimization techniques.
• Prior work on chatbots, summarization systems, or enterprise AI tools.

Seniority level

Associate

Employment type

Full‑time

Job function

Information Technology

Industries

Technology, Information and Media, IT Services and IT Consulting