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Tier-1 brand and Pune metro increase applicant density, but Generative AI specialization reduces broad competition.
Strong AI engineering skills transfer across industries, but Markets-specific domain knowledge increases fit sensitivity.
Explicit 6-10 years requirement plus deep Generative AI and production Python experience make filters stringent.
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Design, build, and evolve greenfield Generative AI solutions and production-grade services primarily using Python for Markets use cases across asset classes.
Drive architecture, engineering standards, and technical direction for AI-powered products from concept through production with strong focus on code quality and maintainability.
Collaborate with engineers, product partners, and stakeholders to deliver scalable, well-engineered AI platforms beyond prototypes, emphasizing real impact in finance technology.
6-10 years of relevant experience in application development or systems analysis roles.
Strong hands-on expertise in Python with experience building scalable, production-grade systems (not just prototypes).
Practical experience with Generative AI, LLM-based applications, or agentic AI systems.
Bachelor’s degree required; Master’s degree preferred.
Experienced engineer able to operate independently in ambiguous, fast-moving environments focusing on greenfield AI engineering.
Able to contribute beyond coding by influencing system architecture, engineering discipline, and product thinking.
Demonstrates strong communication skills, leadership in project management, and drives technical solutions with sound judgment and engineering rigor.