AI / LLM Engineer

2 days ago

Noida, Uttar Pradesh, India Software Engineering Firm Full time ₹ 20,00,000 - ₹ 25,00,000 per year
Overview We are seeking an experienced AI/LLM Engineer with expertise in building, fine-tuning, and deploying state-of-the-art Large Language Model (LLM) solutions. The ideal candidate will have hands-on experience in prompt engineering, RAG pipelines, multi-agent orchestration frameworks, knowledge graph reasoning, and model evaluation methodologies. You will play a critical role in designing intelligent, scalable, and safe AI-driven systems for real-world applications.
Key Responsibilities LLM Development & Fine-Tuning Fine-tune large language models on domain-specific datasets. Optimize prompts and context strategies to maximize performance across diverse use cases. Implement and evaluate RAG (Retrieval-Augmented Generation) pipelines for knowledge-grounded AI responses.
Multi-Agent Orchestration Build and manage multi-agent AI systems using frameworks such as LangChain, AutoGen, CrewAI, and Haystack. Design intelligent workflows where multiple AI agents collaborate, coordinate, and reason effectively.
Knowledge Graphs & Reasoning Construct and maintain knowledge graphs to enhance contextual reasoning and factual grounding of LLMs. Integrate graph-based reasoning with LLM pipelines for improved interpretability and accuracy.
Evaluation & Safety Develop robust evaluation pipelines for hallucination detection, factual alignment, safety, and ethical compliance. Define metrics and benchmarks for continuous monitoring and quality assurance of deployed models.
Required Skills & Qualifications
  • Strong expertise in LLM fine-tuning, prompt engineering, and RAG pipelines.
  • Proficiency with multi-agent orchestration frameworks (LangChain, AutoGen, CrewAI, Haystack).
  • Hands-on experience with knowledge graph construction, reasoning, and integration into AI pipelines.
  • Familiarity with model evaluation techniques related to hallucination, factual alignment, and AI safety.
  • Proficiency in Python and modern ML/NLP libraries (PyTorch, TensorFlow, HuggingFace Transformers, etc.).
  • Solid understanding of vector databases (FAISS, Pinecone, Weaviate, Milvus).
  • Strong problem-solving, analytical, and system design skills.

Preferred Qualifications
  • Advanced degree (MS/PhD) in Computer Science, AI/ML, Data Science, or related field.
  • Experience with cloud platforms (AWS, GCP, Azure) and scalable ML deployment.
  • Contributions to open-source AI/NLP projects.
  • Research experience in trustworthy AI, safety alignment, or autonomous agent design.

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