The Gen AI Lead is responsible for designing, testing, and maintaining software programs for operating systems or applications, ensuring 100% quality assurance parameters. The role requires a strong grasp of LLMs, prompt engineering, and transformer architectures, with experience in Python and libraries such as LangChain, Transformers, OpenAI SDK, and Hugging Face.
Requirements
- Strong grasp of LLMs, prompt engineering, and transformer architectures
- Experience with RAG systems, vector search, and embedding models
- Proficiency in Python and libraries: LangChain, Transformers, OpenAI SDK, Hugging Face
- Familiarity with agentic frameworks (AutoGen, CrewAI, LangGraph)
- Skilled in deploying models via APIs or microservices
- Coding and software development skills
- Ability to determine operational feasibility and develop processes for software validation
- Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces
- Analyzing information to recommend and plan the installation of new systems or modifications of an existing system
- Ensuring code is error-free or has no bugs and test failure
- Preparing reports on programming project specifications, activities, and status
- Coordinating with the team on daily project status and progress and documenting it
- Providing feedback on usability and serviceability, trace the result to quality risk, and report it to concerned stakeholders
- Capturing all the requirements and clarifications from the client for better quality work
- Taking feedback on the regular basis to ensure smooth and on-time delivery
- Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members
- Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements
- Documenting solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code
- Ensuring good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc