Role: LLM Model Developer

Role Description:
Responsible for fine-tuning and optimizing Large Language Models (LLMs) with a focus on instruction tuning and domain adaptation to improve performance and contextual relevance.

Must-Have Skills:
Large Language Models (LLMs)

Valuable to Have:
Not Applicable

Experience Required:
Minimum 5 years

Educational Qualification:
15 years of full-time education

Summary:

As a GenAI Engineer, you will design, develop, and deploy AI solutions leveraging both traditional machine learning and advanced generative AI techniques. The role combines solid ML engineering fundamentals with expertise in LLMs, Retrieval-Augmented Generation (RAG), and orchestration frameworks to build scalable, production-ready AI systems.

Key Responsibilities:
Design and develop applications powered by LLMs, multimodal models, and generative AI architectures
Fine-tune foundation models using techniques such as LoRA and PEFT for domain-specific applications
Build RAG pipelines using vector databases like FAISS, Pinecone, or Weaviate
Integrate frameworks such as LangChain, LlamaIndex, and Semantic Kernel into production environments
Develop and deploy machine learning models using PyTorch, TensorFlow, and Scikit-learn




Collaborate with data engineers to build and maintain scalable data pipelines
Implement MLOps/DevOps practices including CI/CD, monitoring, and automated retraining
Optimize model inference through quantization, distillation, and efficient hardware utilization
Establish evaluation frameworks for both ML and GenAI models (accuracy, fairness, hallucination control, grounding)
Monitor deployed models to ensure performance, reliability, and continuous improvement
Work closely with cross-functional teams to align AI solutions with business objectives
Communicate technical concepts effectively to non-technical stakeholders

Professional & Technical Skills:
AWS, LLMs, Prompt Engineering, RAG, Vector Databases
Python and ML frameworks (PyTorch, Scikit-learn, LangChain)
Agentic frameworks and GenAI orchestration tools
DevOps tools such as Docker and Kubernetes
Solid analytical and problem-solving skills
Ability to work independently and mentor junior team members

Additional Information:
Minimum 5 years of experience in LLMs is required
Location: Across India
15 years of full time education is mandatory

📌 Opening For Llm Developer Genai Pan India Hyderabad
🏢 Anlage Infotech
📍 Hyderabad