Intelligent Systems Developer

4 days ago

Thāne, Maharashtra, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
As a Leading AI Engineer, you will play a crucial role in building next-generation intelligent systems in the legal tech space.The ideal candidate will have a strong background in Computer Science, Software Engineering, or Data Science, with deep expertise in Machine Learning and Natural Language Processing.You will be responsible for designing, developing, and deploying autonomous, goal-driven agents that reason, learn, and act in dynamic environments.The key responsibilities of this role include:
  • Architecting scalable agentic AI systems executing complex workflows and reasoning over legal data.
  • Researching, prototyping, and productionizing ML/DL models, particularly in NLP/NLU.
  • Building intelligent legal agents for document interpretation, decision-making, and collaboration with users or other agents to complete multi-step tasks.
  • Utilizing frameworks like LangChain, AutoGen, OpenAI Function Calling, and Semantic Kernel to build multi-agent workflows.
  • Fine-tuning and integrating large language models using PEFT, LoRA, and RAG techniques for domain-specific challenges.
  • Designing robust infrastructure for managing AI lifecycle: training, inference, monitoring, and continuous learning.
  • Collaborating closely with legal experts, product managers, and engineers to build explainable and trustworthy AI systems.
To succeed in this role, you will need:
  • Strong proficiency in Python, HuggingFace Transformers, LangChain, PyTorch, TensorFlow, and Spacy.
  • Experience developing and scaling ML models (LSTMs, BERT, Transformers) in production.
  • Understanding of LLM training (OpenAI, LLAMA, Falcon), embeddings, and prompt engineering.
  • Hands-on experience with Reinforcement Learning (PPO, RLHF, RLAIF).
  • Experience with text and semantic information extraction from structured/unstructured documents (PDFs, images).
  • Comfortable in Agile/Scrum environments and cross-functional collaboration.
  • A passion for building autonomous systems that solve real-world problems.

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