
AI Innovation Specialist
11 hours ago
Drive cutting-edge innovation in the legal tech space as an AI specialist. We're seeking an experienced professional to architect and implement scalable, goal-driven AI systems.
The role demands expertise in designing, developing, and deploying autonomous agents that reason, learn, and act in dynamic environments.
- We need you to develop and deploy agentic AI systems executing complex workflows and reasoning over legal data.
- Research and productionize ML/DL models, particularly in NLP/NLU, fine-tuning large language models using PEFT, LoRA, and RAG techniques for domain-specific challenges.
- Build intelligent legal agents capable of document interpretation, decision-making, and collaborating with users or other agents to complete multi-step tasks.
- Utilize frameworks like LangChain, AutoGen, OpenAI Function Calling, and Semantic Kernel to build multi-agent workflows.
- 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 the development of AI strategies for agent-based automation in contract management.
To succeed, you'll require a strong background in Computer Science, Software Engineering, or Data Science, with deep expertise in ML and NLP.
Proven experience building or integrating agentic AI systems (AutoGPT-style agents, goal-oriented LLM pipelines, multi-agent frameworks) is essential.
Proficiency in Python, HuggingFace Transformers, LangChain, PyTorch, TensorFlow, and Spacy is necessary.
Experience developing and scaling ML models (LSTMs, BERT, Transformers) in production is crucial.
Understanding of LLM training (OpenAI, LLAMA, Falcon), embeddings, and prompt engineering is vital.
Hands-on experience with Reinforcement Learning (PPO, RLHF, RLAIF) and text and semantic information extraction from structured/unstructured documents (PDFs, images) is required.
Comfortable in Agile/Scrum environments and cross-functional collaboration is necessary.
Prioritizing building autonomous systems that solve real-world problems is key.
Required Skills and Qualifications:- Deep expertise in Machine Learning and Natural Language Processing
- Strong background in Computer Science, Software Engineering, or Data Science
- Experience building or integrating agentic AI systems
- Proficiency in Python and popular AI libraries
- Understanding of LLM training, embeddings, and prompt engineering
- Hands-on experience with Reinforcement Learning
You will have the opportunity to work on cutting-edge projects, collaborate with experienced professionals, and contribute to the development of AI strategies for agent-based automation in contract management.
Others:This role offers a unique chance to drive innovation in the legal tech space, working with autonomous AI systems to solve real-world problems.
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