Description

You design and build production-grade AI agentic systems, multi-agent collaborations, and conversational interfaces with robust context management.

This role is remote.

Responsibilities

• Build scalable microservices and RESTful APIs in distributed cloud environments using Python or Java.
• Design and implement AI agentic systems featuring tool use, planning, and autonomous decision-making workflows.
• Develop Retrieval-Augmented Generation (RAG) pipelines including document ingestion, chunking, vector stores, and retrieval logic.
• Ensure system security through authentication, authorization, least-privilege access, and prompt injection defense.
• Maintain CI/CD workflows, monitor system performance, and manage infrastructure as code.

Required Skills

• 15+ years of software engineering experience with strong proficiency in Python and/or Java.
• Hands-on experience building multi-agent systems and conversational chat systems with long-term context management.
• Deep knowledge of RAG architectures, vector databases (Qdrant, Pinecone, pgvector, Weaviate), and document parsing.
• Experience integrating agentic systems with external APIs, enterprise data sources, and MCP servers.
• Proficiency with relational databases (PostgreSQL, MS SQL Server) and monitoring tools (New Relic, Datadog).
• Strong understanding of Git, CI/CD-driven development, and production-grade security practices.
• BSc/BA in Computer Science or a related degree.

Preferred Skills

• Experience with Docker, Kubernetes, Istio, Ansible, Terraform, and cloud services (AWS/Azure).
• Familiarity with React, Selenium, and distributed computing frameworks.
• Experience with SAML, OAuth, OpenID Connect, and Service Oriented Architecture.

Key Skills

Education

Bachelor's degree