You will design, build, and optimize LLM-based autonomous agents for reasoning, planning, and task execution.
Responsibilities
- Integrate with Data Engineers and Data Scientists to build end-to-end AI Agentic solutions for automating business workflows.
- Develop and deploy machine learning models, including supervised, unsupervised, and deep learning approaches.
- Build scalable ML pipelines, integrating Gen AI with Enterprise System APIs.
- Build and maintain RAG pipelines using vector databases (e.g., FAISS, Pinecone, Chroma).
- Translate business problems into analytical solutions by collaborating with business stakeholders.
Required Skills
- 5+ years of professional experience.
- Proficiency in Python, SQL, Spark, and Beam.
- Experience with Gen AI concepts and implementation.
- Strong scripting and Automation skills.
- Familiarity with Advanced PL/SQL.
- Experience with git-based source control and software development best practices.
- Ability to perform data exploration, feature engineering, and statistical analysis on large datasets.
- Good communication skills.