Advanced AI Specialist

1 day ago

Aligarh, Uttar Pradesh, India beBeeArtificial Full time ₹ 20,00,000 - ₹ 25,00,000

Job Overview

We are seeking an experienced AI Engineer to join our team in building next-generation intelligent systems focused on legal tech innovation.

This role involves designing, developing, and deploying autonomous agents that reason, learn, and act in dynamic environments. The successful candidate will power innovative features in advanced contract lifecycle management platforms by leveraging the latest advancements in large language models, reinforcement learning, and autonomous AI frameworks.

Key Responsibilities:

  • Architect and implement scalable agentic AI systems that execute complex workflows and reason over legal data.
  • Research, prototype, and productionize ML/DL models, particularly in NLP/NLU.
  • 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.
  • Fine-tune and integrate large language models using PEFT, LoRA, and RAG techniques for domain-specific challenges.
  • 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.

Requirements:

  • Strong background in Computer Science, Software Engineering, or Data Science, with deep expertise in ML and NLU.
  • Proven experience building or integrating agentic AI systems (AutoGPT-style agents, goal-oriented LLM pipelines, multi-agent frameworks).
  • Proficiency in Python, HuggingFace Transformers, LangChain, PyTorch, TensorFlow, and Spacy.
  • Experience developing and scaling ML models (LSTMs, BERT, Transformers) in production.
  • Understanding of LLM training (OpenAI, LLAMA, Falcon), embeddings, and prompt engineering.
  • Hands-on experience with Reinforcement Learning (PPO, RLHF, RLAIF).
  • Experience with text and semantic information extraction from structured/unstructured documents (PDFs, images).
  • Comfortable in Agile/Scrum environments and cross-functional collaboration.
  • Passion for building autonomous systems that solve real-world problems.

Preferred Skills:

  • Knowledge of reinforcement learning and natural language processing concepts.
  • Experience with cloud-based services such as AWS or Google Cloud.
  • Ability to understand and address the needs of business stakeholders.

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