Artificial Intelligence Engineer

Legal Ease Solutions LLC

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The Opportunity:

We are seeking an experienced AI Engineer to join our growing team at LegalEase and work closely with our partner who is a SaaS company. In this role, you will design, develop, and deploy intelligent systems that power next-generation features in our contract lifecycle management (CLM) platform. You will work at the intersection of machine learning, software engineering, and agentic AI to create autonomous, goal driven agents capable of reasoning, learning, and acting in dynamic environments. This is your opportunity to play a pivotal role in advancing the capabilities of legal tech with powerful agent-based systems built on the latest advancements in large language models, reinforcement learning, and autonomous AI frameworks.

What will you do:

• Architect and implement scalable agentic AI systems that autonomously execute complex workflows and reason over legal data.
• Research, prototype, and productionize ML/DL models, especially in natural language processing and understanding (NLP/NLU).
• Build and deploy intelligent legal agents that can interpret documents, make decisions, and collaborate with users or other agents to complete multi-step tasks.
• Utilize modern frameworks and platforms (e.g., LangChain, AutoGen, OpenAI Function Calling, Semantic Kernel) to build multi-agent workflows.
• Fine-tune and integrate large language models (LLMs) using PEFT, LoRA, and RAG techniques tailored to legal domain challenges.
• Design and implement robust infrastructure for managing AI lifecycle, including training, inference, monitoring, and continuous learning.
• Collaborate with legal experts, product managers, and engineering teams to create explainable and trustworthy AI systems.
• Contribute to the development of our AI strategy for agent-based automation within legal operations and contract management.

What you will need:

• Strong background in computer science, software engineering, or data science with a deep focus on machine learning and NLP.
• Demonstrated experience building or integrating agentic AI systems (e.g., AutoGPT-style agents, goal-oriented LLM pipelines, multi-agent frameworks).
• Proficiency in Python and ML/NLP libraries such as HuggingFace Transformers, LangChain, PyTorch, TensorFlow, and Spacy.
• Experience developing and scaling ML models (including LSTMs, BERT, Transformers) for real-world applications.
• Understanding of LLM training (e.g., OpenAI, LLAMA, Falcon), embeddings, and prompt engineering.
• Hands-on experience with Reinforcement Learning (e.g., PPO, RLHF, RLAIF).
• Experience extracting text and semantic information from structured and unstructured documents (PDFs, Images, etc.).
• Comfort working in Agile/Scrum environments and collaborating across cross-functional teams.
• Passion for innovation in AI and a strong desire to build autonomous systems that solve complex, real-world problems.

Why join LegalEase?

• Opportunity to work in a fast-moving, high growth SaaS company
• A work culture that celebrates and encourage diversity
• A workspace imbued with empathy and purpose
• We believe in continuous learning. You will walk away acquiring more skills than you had when you joined us (this is a guarantee on us)
• We value transparency, flexibility and over responsiveness
• A daily 30-minute wellness session coz your mental wellness means a lot to us!
• We are constantly striving to improve the work-life blend
• We believe in FUN at work. We take this very seriously and have FUN as one of our core values.