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Mid-level GenAI role in a metro with broad skills and a known brand attracts many qualified applicants.
Role requires specialized GenAI, transformer fine-tuning and deployment skills, limiting transferability across industries.
Explicit multi-year requirements plus specific GenAI, deployment, and cloud skills enforce stringent shortlisting filters.
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Build and deploy advanced generative AI and multimodal applications using transformer-based models, agentic frameworks, and knowledge graphs.
Develop scalable APIs, microservices, and cloud-based ML deployments optimizing for cost, latency, and reliability across AWS/Azure/GCP.
Collaborate cross-functionally to translate business needs into AI solutions, document processes, and mentor junior engineers.
3-4 years software development experience including production ML model deployment.
2+ years experience in deep learning, generative AI, or transformer-based architecture development.
Strong Python programming skills with experience in API development and backend frameworks (Flask, FastAPI, Django).
Hands-on experience deploying AI systems on AWS, Azure, or GCP; familiarity with big data tools (Apache Spark, Hadoop) and NoSQL databases (MongoDB).
Experience building generative AI applications beyond basic retrieval-augmented generation, such as agentic or multimodal systems with custom LLM fine-tuning.
Technical proficiency to design AI workflows incorporating reasoning, planning, memory, grounding, and external system integration.
Demonstrated ability to deliver production-grade AI solutions within enterprise environments with strong documentation and mentorship capabilities.