Description

You will architect and deploy enterprise-grade Generative AI and agentic workflows into production environments.

This role is on-site.

Responsibilities

• Design and implement agentic workflows and LLM-based solutions for enterprise clients.
• Conduct client-facing technical workshops and translate complex business requirements into scalable architectures.
• Architect solutions for RFPs and lead technical design sessions.
• Develop robust microservices using Python, FastAPI, and Spring Boot.
• Manage CI/CD pipelines, containerization, and model monitoring using MLOps tools.

Required Skills

• 8+ years of total software engineering and technical architecture experience.
• 3+ years of hands-on experience deploying Gen AI or agentic workflows to production.
• Advanced Python proficiency with Pandas, PyTorch, Hugging Face, and Scikit-Learn.
• Experience with Gen AI frameworks: LangChain, LlamaIndex, LangGraph, CrewAI, or AutoGen.
• Cloud platform expertise in AWS (Bedrock), Azure (OpenAI), or GCP (Vertex AI).
• Strong background in vector databases (ChromaDB, Pinecone, FAISS, Weaviate).
• Proficiency in microservices (FastAPI, Flask, Spring Boot) and REST APIs.
• DevOps/MLOps skills: Docker, Kubernetes, CI/CD, MLflow, and model monitoring.

Preferred Skills

• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree