We are seeking a highly skilled and motivated AI Engineer with expertise in Large Language Models (LLMs) and AI Agents to join our AI/ML team. You will be responsible for designing, developing, and deploying intelligent systems that leverage cutting-edge LLMs and autonomous agents to solve real-world problems across various domains.

Design and implement LLM-based solutions for various NLP tasks
Build and deploy AI agents that can reason, plan, and take actions across tools and APIs.
Fine-tune and optimize open-source or proprietary LLMs for specific use cases.
Evaluate model performance and ensure safety, fairness, and reliability of AI systems.
Collaborate with DevOps, and product teams to move prototypes into stable, production-ready systems
Continuously research the latest advancements in NLP.

Bachelor's or Master’s degree in Data science, Computer Science or a related field.
2+ years of hands-on experience developing and deploying machine learning models in production.
Applied experience working with LLMs, generative AI, or NLP frameworks (e.g., Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API).
Experience in fine-tuning and adapting pre-trained models for specific tasks.
Familiarity with serving LLM models such as VLLM, SGLang, or TensorRT.
Solid understanding of AI agent-based systems and frameworks like Autogen, LangGraph, or CrewAI.
Knowledge of Retrieval-Augmented Generation (RAG) and its implementation in production systems.
Experience with embeddings, vector databases, and contextual memory systems.
Proficiency in using observability and evaluation tools (e.g., Langfuse, LangSmith, Opik) to trace, log, and improve performance

Nice to Have:

Experience working with Vision-Language Models (VLMs) like Intern, Qwen, Llama
Familiarity with multimodal systems, speech and language translation (ASR, S2ST), graph algorithms, or reinforcement learning.
Contributions to open-source NLP/AI projects or research publications.