Senior AI Engineer – Manager

This is a fully remote position, open to applicants in India.

📋 Description

• Design, develop, and sustain backend services for GenAI and agent-based applications utilizing Python.

• Create APIs and services with FastAPI.

• Construct and maintain AI solutions leveraging the agentic framework.

• Design and integrate agent workflows, tool usage, orchestration, and management patterns for workflows.

• Develop and manage services using PostgreSQL, Cosmos DB, and/or SQL Server.

• Containerize and deploy applications with Docker and Kubernetes.

• Develop secure, scalable, and production-ready AI systems on Azure.

• Construct agentic harnesses, testing frameworks, and evaluation pipelines.

• Implement observability, monitoring, logging, and quality assurance measures for AI systems.

• Collaborate with cross-functional teams to deliver enterprise-level AI solutions.

• Utilize modern engineering tools and workflows, including Azure DevOps (ADO), GitHub, Claude Code, Cowork, and automation-friendly development practices.

• Ensure compliance with Responsible AI, security, privacy, and governance standards.

• Assist with document intelligence, OCR, and data processing workflows as needed.

⛳️ Requirements

• Over 6 years of software engineering experience, primarily in Python.

• More than 2 years in GenAI, LLM, or agentic application development.

• Preferred experience in enterprise or production AI environments.

• Proven experience in building backend services and APIs with FastAPI.

• Practical experience in supporting or developing GenAI / LLM-based applications.

• Familiarity with agent orchestration frameworks.

• Experience with Azure cloud resources and cloud-native application development.

• Proficient in one or more databases: Postgres, Cosmos DB, SQL Server.

• Hands-on experience with Docker and Kubernetes.

• Experience with ADO, GitHub, and modern CI/CD workflows.

• Strong knowledge of backend architecture, testing, debugging, and performance optimization.

• Experience with agentic engineering and agent-based solutions.

• Understanding of evaluation frameworks.

• Strong comprehension of secure design principles for AI systems, including access control, data management, prompt safety, and system reliability.

• Experience in integrating tools, APIs, and structured workflows into AI applications.

• Background in workflow management and orchestration within enterprise environments.

• Solid understanding of MCP, SKILLS, plugins, tool calling, or reusable agent capabilities.

• Familiarity with OCR, document extraction, or document intelligence solutions.

• Experience in data wrangling, preprocessing, and managing unstructured data pipelines.

• Knowledgeable about RAG, search, retrieval pipelines, or knowledge integration.

• Familiarity with multi-agent systems.

• Understanding of AI-assisted developer workflows and coding tools.

🏝️ Benefits

• Health insurance.

• Professional development opportunities.