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You will be updated with latest job alerts via emailAbout the Role:
Were hiring a Sr. Python AI/ML Developer to design smart modular systems that connect LLMs with structured and unstructured data workflows. This role focuses on intelligent file ingestion metadata reasoning query generation and languagebased responsesnot model training.
Youll work on multiagent architectures that break down user intent identify relevant data and produce useful outputs. Think intelligent assistants not chatbots.
What Youll Do
Build services/agents that:
Ingest and process structured (CSV Excel) and unstructured (PDF DOCX) files
Extract metadata using LLMs
Determine relevant data for user queries through reasoning
Generate database queries (MongoDB)
Summarize and reformat retrieved content
Architect JSON/XMLstyle protocols for agent communication
Develop chunking tagging and schema inference pipelines
Integrate with LLM APIs to:
Generate metadata
Interpret queries
Summarize content
Optimize for performance retry logic and reliability of LLM calls
Build clean API interfaces using Flask or similar framework
Write modular testcovered and welldocumented code
Qualifications :
What You Bring
58 years (mid to senior level) experience
Solid Python development with OOP
MongoDB or equivalent NoSQL experience
Handson with LLM APIs (OpenAI Anthropic etc.
Experience handling unstructured (PDF DOCX) and tabular (CSV Excel) data
Knowledge of multiagent orchestration or microservice architecture
Familiarity with API development and integration
Bonus Points
Prompt engineering or experience with agent frameworks
Vector search (Pinecone FAISS)
Redis queues or Celery/RQ for background tasks
XML/JSON schema design
Past work on research tools knowledge systems or automation platforms
Should have good experience working with MongoDB
Who You Are
You enjoy building endtoend systems that do more than just call an LLM
You think in pipelines not monoliths
You value clean design smart abstraction and robust logic
Youre excited by the future of AI systems that actually solve problems
Additional Information :
What We Offer:
Remote Work :
No
Employment Type :
Fulltime
Full-time