Title: Forward-Deployed AI Engineer

Location: Remote

Duration: 12+ Months

Required Skills:

Python, Backend, and API Development

- 3+ years of Python experience , with strong understanding of async/await, context managers, decorators, type hints, and modular application design.
- Experience building APIs using FastAPI, Flask, Django , or similar Python web frameworks.
- Strong understanding of REST APIs , HTTP concepts, status codes, cookies, sessions, redirects, and secure API patterns.
- Experience designing backend services that support operational workflows, data processing, automation, and user-facing applications.
- Ability to debug authentication flows, API integrations, background jobs, and production application issues.
- Experience writing and maintaining automated tests using pytest or similar testing frameworks.

AI-Enabled Solution Development

- Experience applying AI or machine learning capabilities to practical business problems.
- Familiarity with large language models, prompt engineering, retrieval-augmented generation, semantic search, document processing, text classification, summarization, or natural language interfaces
- Ability to evaluate where AI can add value and where deterministic rules, workflow logic, or traditional analytics are more appropriate.
- Experience integrating AI services or model APIs into business applications, prototypes, or automation workflows.
- Ability to design human-in-the-loop experiences where business users can review, validate, or act on AI-generated outputs.
- Strong judgment in validating AI outputs, handling edge cases, and designing solutions that are transparent, explainable, and operationally useful.

SQL, Data, and Integration

- Strong SQL skills, with the ability to write complex analytical queries against large operational datasets.
- Experience working with relational databases such as Oracle, PostgreSQL, SQL Server, MySQL, or similar platforms.
- Ability to connect to enterprise data sources, understand data models,



and transform raw data into usable application logic or business insights.
- Experience diagnosing query performance issues, reviewing execution plans, and optimizing data access patterns.
- Familiarity with lightweight state persistence using SQLite or similar embedded databases.
- Ability to work with APIs, flat files, cloud storage, and other integration patterns across enterprise systems.

Frontend and User Experience

- Comfortable building simple, effective user interfaces using HTML, CSS, and JavaScript.
- Ability to create business-facing screens for reviewing exceptions, alerts, recommendations, metrics, workflows, and operational status.
- Experience with fetch APIs, DOM manipulation, form handling, tables, filters, and session-based user interactions.
- Ability to work without heavy front-end frameworks when speed, simplicity, and maintainability are the priority.
- Strong sense of usability, especially for internal tools used by operations, analysts, coordinators, or business leaders.

Cloud, Infrastructure, and DevOps

- Experience deploying and supporting applications in cloud environments such as AWS, Azure, or similar platforms.
- Familiarity with containerized application deployment using Docker and services such as ECS Fargate, Kubernetes, App Services, or equivalent platforms.
- Experience with container registries, image builds, deployment updates, health checks, and troubleshooting startup failures.
- Understanding of cloud networking basics, including load balancers, security groups, private subnets, NAT gateways, and setting configuration.
- Experience with secrets management, environment variables, application logging, monitoring,



and operational diagnostics.
- Familiarity with IAM, task roles, execution roles, or similar least-privilege access patterns.

Security, Identity, and Enterprise Readiness

- Familiarity with Microsoft Entra ID, Azure SSO, app registrations, redirect URIs, app roles, and user assignment.
- Understanding of OAuth2 Authorization Code Flow and secure authentication patterns.
- Experience supporting role-based access control for internal applications.
- Awareness of enterprise security expectations, including least privilege, secure handling of credentials, data protection, auditability, and responsible AI considerations.

Good-to-Have Skills: AI-Assisted Development

- Experience using GitHub Copilot, Microsoft Copilot, Claude, or similar tools to accelerate development, code review, debugging, test generation, and solution design.
- Ability to use AI tools effectively while still validating outputs, understanding the codebase, and maintaining engineering ownership.
- Comfort operating in an AI-augmented delivery model where rapid prototyping, critical review, and iterative refinement are part of the working style.

Microsoft and Enterprise Integration

- Experience with Microsoft Graph API, especially for email, calendar, document, or workflow-related integrations.
- Familiarity with SharePoint, Teams, OneDrive, Power Platform, or other Microsoft 365 services as enterprise data or workflow surfaces.
- Experience integrating business workflows with shared mailboxes, notifications, approvals, or escalation processes.

Testing and Code Quality

- Experience structuring test suites for async Python applications.
- Familiarity with pytest-asyncio, httpx, test clients, mocks, and integration testing patterns.
- Ability to write maintainable, readable code that can be handed over to other engineers or support teams.
- Experience documenting technical decisions, deployment steps, troubleshooting guidance, and known limitations.

EoE

📌 Forward-Deployed AI Engineer (India)
🏢 MSR Technology Group
📍 India