AI Engineer

DMAIC Academy & Consultancy

Pune City

Sur place

INR 1 000 000 - 1 500 000

Plein temps

14 jours+
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Résumé du poste

A fast-growing technology firm in Pune is seeking an experienced AI Engineer to develop advanced intelligent systems for contract management. The selected candidate will leverage large language models and reinforcement learning to create solutions that automate legal workflows. The role requires strong skills in machine learning, natural language processing, and collaboration with cross-functional teams.

Qualifications

  • Strong background in ML and NLP with experience building agentic AI systems.
  • Proficient in Python and relevant AI frameworks.
  • Experience with LLM training and scaling ML models in production.

Responsabilités

  • Architect scalable AI systems for complex workflows.
  • Research and prototype ML/DL models in NLP/NLU.
  • Collaborate with legal experts and product managers.

Connaissances

Machine Learning
Natural Language Processing
Python
HuggingFace Transformers
Reinforcement Learning
Agile/Scrum

Formation

Computer Science, Software Engineering, or Data Science

Outils

LangChain
PyTorch
TensorFlow
Spacy

Description du poste

We are looking for an experienced AI Engineer to join an exciting and fast-growing team, focused on building next-generation intelligent systems in the legal tech space.

As an AI Engineer, you will design, develop, and deploy autonomous, goal-driven agents that reason, learn, and act in dynamic environments. Your work will power innovative features in advanced contract lifecycle management platforms by leveraging the latest in large language models, reinforcement learning, and autonomous AI frameworks.

What You’ll Do
  • 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.
What You’ll Need
  • Strong background in Computer Science, Software Engineering, or Data Science, with deep expertise in ML and NLP.
  • 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.
Seniority level
  • Associate
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • IT Services and IT Consulting

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