Senior Artificial Intelligence Engineer, ContractPodAi
AI-driven legal platform
Open for applications
AI-driven legal platform
201-500 employees
Open for applications
201-500 employees
Company mission
To push the limits of artificial intelligence, machine learning — and legal technology — to evolve legal document automation, contract and risk management, and data analysis
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
Many in-house legal teams still manage contracts through vast amounts of paperwork, and those that use digital alternatives must still manually create, manage, and navigate between these contracts, wasting valuable time. ContractPodAi provides an AI-driven legal platform for in-house teams, allowing them to automate and streamline their processes.
With ContractPodAi, users can unite contracts into a single holistic repository, and review RFP submission and data privacy. It also supplies Leah, its "Legal Copilot", that acts as an AI assistant for law and corporate teams. Ultimately, this allows users to improve the efficiency of legal workflows, and allows teams to spend more time scaling and less time on mundane and repetitive admin.
Whilst in-house legal team platforms have been around for decades, ContractPodAi has smartly recognised the limitations of existing solutions and responded with a focus on making its offering both smarter and easier to use. The company has seen good funding and recognition over the years, and continues to forge new partnerships and release new products.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
2% employee growth in 12 months
Company
Funding (2 rounds)
Sep 2021
$115m
SERIES C
Jul 2019
$55m
SERIES B
Total funding: $170m
Company benefits
- Opportunity to work in a fast-moving, high growth SaaS company
- Paid Time off
- Paid Health and Wellness Days
- Generous Employee Referral Program 🇺🇸
- Comprehensive Insurance coverage 🇺🇸
- 401(k) / Pension plans & Employer Match 🇺🇸
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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