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Tier-1 employer and metro location increase competition, but senior, niche GenAI focus limits applicants.
High—requires specialized GenAI/LLM and Java/Python full-stack experience, reducing cross-industry transferability.
Explicit 12+ years requirement plus mandatory GenAI, Java/Python and LLM experience enforces strict filtering.
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Lead design, development, and deployment of scalable enterprise generative AI solutions using Java and Python full-stack technologies.
Integrate advanced AI models, including large language models (LLMs) and agentic AI architectures, into enterprise systems with robust API design.
Ensure application resiliency, security, and operational stability while championing software development best practices such as CI/CD, testing, and code reviews.
12+ years of professional experience in software engineering with significant focus on Generative AI.
Mandatory hands-on experience in Java full-stack development and expert-level proficiency in Python with frameworks like FastAPI, Django, Flask, or PySpark.
Bachelor’s degree required; Master’s degree preferred in Computer Science, Artificial Intelligence, or a related technical field.
Experience with Docker, Kubernetes, AI frameworks (e.g., TensorFlow, PyTorch), AI orchestration tools (e.g., LangChain, Google ADK), and database technologies such as Oracle, Postgres, or MongoDB.
Senior technologist with deep expertise deploying enterprise-grade generative AI systems combining Java and Python full-stack skills.
Strong background in AI concepts including knowledge representation, automated planning, multi-agent systems, and large language models integration.
Experience operating in regulated domains like banking or financial services, aware of regulatory challenges and application resiliency requirements.