Lead AI Developer

2 weeks ago

Hyderabad, Telangana, India beBeeArtificialintelligence Full time ₹ 25,00,000 - ₹ 40,00,000
AI Lead

We are seeking an experienced AI Lead to drive the development and delivery of AI-powered solutions that seamlessly integrate into our core platform. As a key member of our team, you will spend approximately 50% of your time writing and shipping code, shaping architecture, mentoring the team, and representing AI to stakeholders.

The role involves architecting and implementing AI features aligned with our lending workflows, focusing on NLP-driven document parsing, GenAI orchestration for lending workflows, and valuation automation. You will work hands-on to build prototypes, integrate APIs (OpenAI, Claude, AWS Comprehend, etc.), and ship production-ready features.

You will guide our data team on what data needs to be captured and structured for optimal AI use, manage model lifecycles from selection and integration to monitoring, fine-tuning, and retraining, and orchestrate multi-step GenAI processes that interact with multiple PRD modules.

Collaboration with product managers is essential to define KPIs, measure AI feature impact, and maintain high satisfaction rates. Presentation skills are also required to effectively communicate AI concepts, prototypes, and outcomes to non-technical stakeholders.

Required Skills:
  • 7–12 years of total experience, with at least 3 years of hands-on AI/ML development and architecture experience.
  • Proven track record of integrating AI APIs and deploying GenAI-driven features into production.
  • Experience with NLP workflows, including document ingestion, entity extraction, summarization, sentiment analysis, etc.
  • Strong grasp of AI orchestration, including building multi-step workflows combining APIs, prompts, and business rules.
  • Hands-on coding ability in Python, preferably, with familiarity with JS/TS for integration a plus.
  • Understanding of data requirements for AI and ability to guide data teams on schema and storage decisions.
  • Experience with model lifecycle management, including evaluation, bias checking, and retraining.
  • Strong communication and presentation skills for non-technical stakeholders.
Benefits:
  • Three AI features shipped to production within 12 months.
  • 80%+ satisfaction rating from internal users and stakeholders.
  • AI features reduce manual work and improve process speed without quality drop.
  • Data team alignment on AI data readiness.
  • Stakeholders clearly see value in AI roadmap and outputs.
Success Metrics:
  • At least three AI features must be deployed to production within one year.
  • Satisfaction ratings from internal users and stakeholders must be at least 80%.
  • Our AI features should improve efficiency and quality simultaneously.
  • Team members must collaborate effectively and share knowledge.

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