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Tier-1 brand and specialized LLM+Java requirements moderate applicant density despite seniority.
Role requires deep backend, cloud, and ML expertise, limiting cross-industry transferability.
Explicit 12+ years and mandatory Java, ML and cloud expertise enforce strict shortlisting.
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Lead development and implementation of scalable, high-performance cloud-based financial services software using Java, Kotlin, Python, and AWS.
Drive AI/ML engineering efforts for distributed computing and large-scale LLM projects, including architecture and module ownership.
Collaborate closely with product managers and analysts to translate business requirements into code deliverables and ensure continuous deployment and testing practices.
12+ years in software development with 3+ years hands-on machine learning or AI application development experience.
Strong programming skills in Java/J2EE, Python, and API development using FastAPI or Flask.
Must have solid knowledge of RDBMS with proficiency in PL/SQL, and experience with Spring/Hibernate/Restful Web Services.
Proven experience with AWS cloud services including Lambda, ECS, RDS, and handling AI services such as SageMaker, Amazon Bedrock, and API Gateway.
Experienced in large-scale AI/ML projects, especially with LLMs and Generative AI frameworks (LangChain, Llama Index, RAG architectures).
Hands-on technical leader comfortable owning complex modules and executing PoCs with a strong background in OO design and best programming practices.
Familiarity with agile methodologies and cloud-based continuous integration and deployment in a fast-paced, customer-focused environment.