Intelligent Systems Developer

1 week ago

Bengaluru, Karnataka, India beBeeArtificialintelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

We are seeking a highly skilled Intelligent Systems Developer to join our team focused on building cutting-edge, next-generation intelligent systems in the legal technology space.

You will design, develop, and deploy autonomous, goal-driven agents that reason, learn, and act in dynamic environments. Your work will power innovative features in advanced contract lifecycle management platforms by leveraging the latest advancements in large language models, reinforcement learning, and autonomous AI frameworks.

About the Role:

  • Create scalable agentic AI systems that execute complex workflows and reason over legal data.
  • Develop and research ML/DL models, particularly in NLP/NLU.
  • Builddocument interpretation, decision-making, and collaboration capabilities for intelligent legal agents.
  • Utilize frameworks like LangChain, AutoGen, OpenAI Function Calling, and Semantic Kernel to build multi-agent workflows.
  • Fine-tune and integrate large language models using PEFT, LoRA, and RAG techniques for domain-specific challenges.
  • Design robust infrastructure for managing AI lifecycle: training, inference, monitoring, and continuous learning.
  • Collaborate closely with legal experts, product managers, and engineers to build explainable and trustworthy AI systems.
  • Contribute to AI strategies for agent-based automation in contract management.

Requirements:

  • Strong background in Computer Science, Software Engineering, or Data Science, with deep expertise in ML and NLU.
  • Proven experience building or integrating agentic AI systems (AutoGPT-style agents, goal-oriented LLM pipelines, multi-agent frameworks).
  • 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.
  • Passion for building autonomous systems that solve real-world problems.

Technical Requirements:

  • Python 3.8+
  • HuggingFace Transformers
  • LangChain
  • PyTorch
  • TensorFlow
  • Spacy
  • LSTM
  • BERT
  • Transformers
  • LLM training
  • Prompt engineering
  • Reinforcement Learning

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