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Senior AI Engineer for Advanced AI Solutions
2 weeks ago
Expert AI Engineer Needed
We are seeking a seasoned AI/ML Engineering Specialist to spearhead the development of cutting-edge AI Solutions with a focus on Generative AI, NLP, and applications in the Legal Domain.
Key Responsibilities:
- Design, develop, and train custom AI Models, including Generative AI and NLP-based models tailored for the legal domain.
- Implement techniques for fine-tuning and optimizing large language models for domain-specific use cases.
- Build models from scratch where required, ensuring scalability, accuracy, and efficiency.
- Design and implement AI-Driven Systems using Python and frameworks such as FastAPI and Django for robust API development.
- Develop and integrate vector databases for semantic search, embeddings, and retrieval-augmented generation (RAG).
- Manage data pipelines, including preprocessing and cleansing of unstructured text (legal documents, contracts, case law, etc.).
- Work with SQL and PostgreSQL databases for structured data storage and retrieval.
- Develop generative solutions for document summarization, legal drafting, knowledge extraction, and automated reasoning.
- Leverage modern transformer architectures (e.g., GPT, BERT, LLaMA, Falcon, etc.) to build advanced capabilities.
- Collaborate with product, legal, and engineering teams to understand requirements and deliver solutions in an Agile environment using tools like Jira and GitHub.
- Mentor junior engineers and contribute to knowledge sharing within the team.
- Stay updated with the latest advancements in AI, LLMs, RAG, and Generative AI technologies and apply them to real-world use cases.
- Propose innovative solutions to improve efficiency, accuracy, and scalability of existing systems.
Required Skills & Qualifications:
- Education: Bachelor's or Master's in Computer Science, AI/ML, Data Science, or related field.
- Programming: Strong expertise in Python.
- Frameworks: FastAPI, Django.
- Ai/ml: TensorFlow, PyTorch, Hugging Face, LangChain (preferred).
- Databases: MySQL, PostgreSQL, experience with Vector Stores (e.g., Pinecone, Weaviate, FAISS).
- Deployment: Experience in containerization (Docker), CI/CD pipelines.
- Domain Knowledge: Exposure to legal domain applications (contract analysis, case law research, compliance automation) is highly desirable.
- Tools & Practices: GitHub, Jira, Agile methodology.
- Experience: 8+ years in AI/ML engineering, proven track record of building and deploying custom AI models into production, hands-on experience with Generative AI, LLM fine-tuning, and retrieval-augmented generation (RAG).
Good to Have:
- Experience with cloud platforms (AWS, Azure, GCP) for AI deployments.
- Knowledge of MLOps practices for model lifecycle management.
- Contributions to open-source AI/ML projects.
- Prior experience in building legal-specific AI tools or solutions
