Role overview
**Accurate Job Title: AI ML Engineer**
**Location – San Jose, CA Hybrid (3 days WFO)**
**Top 3 Skills Candidates Should Possess: Gen AI LLMs and agentic platforms - Familiarity with cloud platforms AWS GCP Azure for AIML workflows**
**Client : LTI Mindtree**
**Job description**
**Key Responsibilities**
Design develop and deploy AI driven solutions utilizing Gen AI LLMs and agentic platforms
Implement and optimize workflows using frameworks such as Langchain Langgraph LangSmith or similar
Lead prompt engineering efforts to improve model performance and usability
Conduct exploratory data analysis EDA to derive actionable insights and inform solution design
Collaborate with stakeholders to gather requirements and deliver highimpact AI applications
Stay current with industry trends and advancements in AI and machine learning
**Required Skills Qualifications**
Strong proficiency in Python for AIML application development
Proven experience with Gen AI and large language models LLMs
Handson expertise with agentic platforms including Langchain Langgraph LangSmith or comparable frameworks
Demonstrable experience in prompt engineering for LLMs and generative AI
Solid background in exploratory data analysis and familiarity with relevant libraries eg Pandas NumPy Matplotlib Seaborn
Excellent problem solving and communication skills
**Preferred Qualifications**
Experience deploying AI solutions in production environments
Familiarity with cloud platforms AWS GCP Azure for AIML workflows
Contributions to opensource AIML projects
Example Projects
Developing agentic AI chatbots using Langchain for customer support automation
Designing prompt strategies to enhance LLMdriven content generation
Conducting EDA to inform finetuning of generative AI models
**Thanks and Regards**
**Jayesh Bhati**
Recruitment and operation
Email:
Jayesh@smartitframe.com
Smart IT Frame LLC.