Senior Associate Technology L1_Python

Why this job matters

Your Impact:

• Build and orchestrate agentic workflows using LangChain and LangGraph to power scalable, production-ready GenAI solutions.
• Develop reusable components for data ingestion, transformation, enrichment, and validation that accelerate delivery across projects.
• Ensure reliability, scalability, and traceability across agent workflows to support dependable, enterprise-grade AI applications.
• Implement performance monitoring with tools like LangSmith and apply tuning mechanisms to continuously improve agent accuracy and efficiency.
• Deploy and maintain Python-based GenAI services in production, leveraging Bitbucket, Git, and CI/CD tools for reliable releases.
• Architect secure API communication and access management, using JWT, OAuth, and RBAC, to safeguard sensitive client data.
• Apply NLP, LLM, and retrieval techniques, including vector stores and embeddings, to build context-aware, intelligent solutions for clients.

Job Skills/Competencies Required

Qualifications

Your Skills & Experience:

• Strong Python fundamentals (OOP, data structures, error handling) with hands-on experience using Pandas, NumPy, PySpark, or Dask.
• Hands-on experience with LangChain, LangGraph, and Semantic Kernel, building agent orchestration, memory, and tool-use workflows.
• Proficiency in Python API frameworks (Flask/FastAPI), with experience using IDEs such as VSCode and PyCharm.
• Working knowledge of SQL/NoSQL databases, time-series data, and data modeling and schema design.
• Basic integration experience with TensorFlow or PyTorch, plus exposure to vector databases (e.g., FAISS, Chroma) and embedding-based retrieval.
• Proficiency with AWS Cloud Services and production deployment practices, including Bitbucket, Git, and CI/CD tools.
• Strong understanding of security & access management – JWT, OAuth, RBAC – and secure API communication.