Posted:3 days ago| Platform: Linkedin logo

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Responsibilities:

  • Architect and implement multi-agent AI systems leveraging LLM frameworks such as LangChain, LangGraph, and AutoGen.
  • Develop context-aware RAG pipelines to power grounded, relevant AI outputs.
  • Design and deploy scalable Generative AI services using FastAPI and integrate them with Azure AI pipelines.
  • Orchestrate complex agent workflows involving memory, planning, and decision-making tools.
  • Partner closely with engineers, product teams, and legal domain experts to identify automation opportunities within legal and compliance workflows.
  • Apply NLP techniques to process and extract insights from unstructured legal data.
  • Manage and optimize structured and unstructured data pipelines using tools like PostgreSQL, Solr, and CosmosDB.


Key Requirements:

  • Strong command of Python and relevant libraries such as LangChain, LangGraph, Transformers, spaCy, and scikit-learn.
  • Proven experience working with Large Language Models (GPT, Claude, LLaMA, etc.), including fine-tuning and customization.
  • Familiarity with agentic AI concepts and hands-on experience developing tool-using, reasoning agents.
  • Skilled in building APIs using FastAPI and managing ML workflows with MLflow.
  • Experience working with cloud-based AI platforms such as Azure AI, OpenAI APIs, or AWS Bedrock. Deep understanding of RAG architectures, semantic search, and vector databases.
  • Proficient in SQL, comfortable working on Linux, and experienced with containerized and distributed environments.
  • Strong grasp of data structures, statistical modelling, and backend database architecture.


If Interested, Please share your resume at aayush.kumar@solytics-partners.com

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Solytics Partners

Data Analytics / Consulting

San Francisco

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