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Tier-1 employer and mid-level role but specialized GenAI/LangChain skillset reduces applicant density.
Specialized GenAI and LLM experience moderately limits cross-industry transferability.
Explicit 3–5 years plus mandatory GenAI, LangChain, vector DB, cloud, and DevOps skills.
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Develop and maintain Python-based enterprise applications integrating Generative AI technologies such as LLMs, RAG frameworks, and vector databases.
Design scalable, secure system architectures and build AI-driven solutions including conversational analytics, text-to-SQL systems, and compliance automation.
Lead code reviews, mentor developers, collaborate with stakeholders, troubleshoot production issues, and ensure SLA-compliant delivery.
3 to 5 years of Python development experience with expertise in FastAPI, Flask, SQL, and MSSQL databases.
Proven hands-on experience building Generative AI applications using LLMs (OpenAI, Gemini, Anthropic), Prompt Engineering, RAG, LangChain, and vector databases.
Familiarity with DevOps and containerization tools including GitLab CI/CD, Kubernetes, Docker, and cloud platforms like AWS.
Work Experience Required: 3 to 5 years in relevant Python and AI application development.
Experienced in architecting and implementing Generative AI and Agentic AI-driven enterprise solutions with a focus on scalability and security.
Skilled in leading development teams, establishing coding standards, and driving best practices across the software development lifecycle.
Comfortable working at the intersection of AI technology and business stakeholders, ensuring timely, reliable delivery of complex AI-powered applications.