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Lead AI Fullstack Engineer - WFH

Lead AI Fullstack Engineer - WFH

AgileEnginekochi, kerala, in
4 days ago
Job type
  • Remote
Job description

🔥 AI Full Stack Team Lead- WFH

THIS IS FULLY REMOTE WORKING OPPORTUNITY

We someone who can join in less than 15 days .

If you are interested and fulfill the below mentioned criteria then please share below information below.

1. EMAIL ID

2. Years of relevant experience

3. CCTC / ECTC

4. Notice period

5. Updated resume mentioning all the listed skills. Also, experience in financial domain is a huge plus so if you have that experience then mention that as well in the resume

Experience Level : 7–12 yrs

Location : Remote, any city in India

Must Haves : skills for the Team Lead :

  • At least a bachelor’s or master’s degree in computer science, Mathematics, Engineering, or a related field.
  • Demonstrated ability to lead a team
  • Have led project teams in the past under extremely fast paced development
  • Ability to manage and communicate effectively with stakeholders
  • Proactive communication with objective approach towards project deliverables
  • Experience in finding patterns in data and creating statistical models, data exploration, data visualization, and data mining.
  • Experience in developing AI and ML solutions and delivering them to production.
  • Very good hands-on working experience in Python and NLP.
  • Prior experience or projects in LLMs, LangChain, LangGraph, and Agentic AI is a plus.
  • Familiarity with text processing.
  • Understanding of good software development practices : Test-Driven Development (TDD), refactoring, pair-programming, solid design.
  • Self-motivated, proactive, and demonstrating an exceptional drive towards delivery.
  • Experience with cloud-based solutions, especially on Azure or Google Cloud Platform (GCP).
  • Knowledge of DevOps practices and tools for continuous integration and deployment.

Main Tasks :

  • A modular, AI-enabled platform supporting end-to-end document and data workflows.
  • Streamlines ingestion, extraction, and validation of fund and asset-level documents
  • .Empowers clients to self-onboard, monitor data completeness, and configure delivery pipelines
  • Integrates LLM / GenAI features for automation, prioritization, and explainability
  • Nice to Have

  • Knowledge of financial indus
  • tryKnowledge of Private Assets and ecosystems
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