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Strong employer brand, mid-level AI role, and popular LLM skillset drive high applicant competition.
Specialized LLM, prompt-engineering, Python, and data engineering skills reduce cross-industry fit.
Multiple explicit years and mandatory LLM, Python, cloud, and vector DB skills make shortlisting highly strict.
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Provide offshore prompt-engineering capacity for applied-AI team, building and iterating prompts in tools like Copilot and Tachyon AI Studio.
Lead cross-functional teams to identify, strategize, and execute AI initiatives, ensuring solutions deliver intended business benefits.
Evaluate technological readiness, data availability, and resources; influence multi-stakeholder AI implementations; handle decision-making during development and implementation phases.
4+ years of Artificial Intelligence experience (via work, training, military, or education).
4+ years of software engineering experience with expertise in enterprise-scale application design and delivery.
2+ years hands-on experience building production-ready Generative AI and LLM-based solutions involving GPT Models, LangChain, Prompt Engineering, and vector search technologies.
Strong expertise in Python programming, data engineering, cloud platforms (GCP), REST APIs, microservices, databases (SQL, NoSQL, Graph), and software engineering best practices (CI/CD, testing, DevOps).
Experienced in leading and collaborating with cross-functional teams on AI strategy and implementation within business units.
Skilled at rapid prototyping, experimentation, and iterative prompt engineering in applied AI environments.
Experienced in designing scalable, cloud-native AI applications and integrating complex enterprise AI solutions like chatbots and knowledge retrieval platforms.