Senior Artificial Intelligence Engineer, Leah AI
Domain-specific agentic AI solutions
Job no longer available
Domain-specific agentic AI solutions
101-200 employees
Job no longer available
101-200 employees
Company mission
To shape a future where AI and human judgment work together in harmony.
Role
Who you are
- If you're excited by cutting-edge technology, thrive in a fast-paced environment, and want to help build something revolutionary, we want to hear from you
- 4+ Years of experience and a 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
What the job involves
- We are seeking an experienced AI Engineer to join our growing team at ContractPodAi
- 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
- 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, LangGraph 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
Our take
Leah AI (formerly ContractPodAi) supplies agentic AI solutions for businesses across legal, procurement, finance and more. Its pre-built agents can be modified with natural language in order to create bespoke models that serve users in exactly the ways they need.
The company has been helping businesses to automate for over a decade, with its first AI platform launching in 2017. Now it has grown into an agentic AI platform, Leah AI continues to support teams to work faster, smarter and more collaboratively so that they can streamline their approach and achieve their goals more effectively.
The agentic AI market is growing rapidly, and Leah AI has been smart to dig its hands in early. The company has seen good funding and recognition over the years, cementing its reputation as a trusted partner - which will make it a strong option for enterprises as they look to adopt AI agents into their workflows.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Sep 2021
$115m
SERIES C
Jul 2019
$55m
SERIES B
Total funding: $170m
Company benefits
- Comprehensive benefits plan — covering everything from prescription medication to dental care
- Co-insurance on all other eligible health services
- Flexible vacation and wellness days
- Social activities (incl. regular offsite meetings, social activities, and meditation meet-ups)
Company HQ
London, UK
Leadership
Sarvarth Misra
(Co-Founder & CEO)Has been CEO since co-founding the company in 2014. Graduate of Kings College London and the Saïd Business School at Oxford.
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