LLM Engineer
- Posted 29 days ago
- Over 100 applicants have applied
Job Description
Key Responsibilities:
- Design and deploy end-to-end Generative AI applications tailored for specific business use cases.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines to combine LLMs with external knowledge sources.
- Integrate vector databases (e.g., ChromaDB, Pinecone, LanceDB) for semantic search, embedding storage, and efficient retrieval of large-scale datasets.
- Fine-tune pre-trained LLMs for domain-specific tasks, ensuring high accuracy and relevance of generated outputs.
- Collaborate with data engineers, ML engineers, and product teams to integrate AI solutions into applications and workflows.
- Conduct testing, evaluation, and monitoring of AI models to ensure performance, fairness, and reliability.
- Research emerging LLM technologies, frameworks, and tools to continuously enhance solution capabilities.
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About Company
NMS CONSULTANT is focused on providing complete end to end Recruitment Solutions to Corporate, Manufacturing Plants and Marketing segments at various verticals. We have complimenting business lines with a comprehensive service offering that includes Staffing, Permanent recruitment, Outplacement & Career Services. Our approach for recruitment process to involve combination of Technical and HR make us different from others. Our Key sectors like Automation, IT, Engineering, Automotive, FMCG, and Pharmaceuticals, etc
Skills:
RAG pipelines, LLMs, Conversational bots, Generative AI
Skills:
bedrock , stream processing , Apis, Azure, Python, Etl, AWS, LangChain, Qdrant, async systems, Pinecone, agent frameworks, LangGraph, Vertex AI, LLM orchestration, OpenAI, RAG pipelines, Weaviate, LlamaIndex, distributed architectures