Lead Backend Engineer – Agentic AI at Inabia Solutions and Consulting, Inc. in Hartford, CT
- Company: Inabia Solutions and Consulting, Inc.
- Location: Hartford, CT
- Posted: Sep 24, 2026
- Type: Contract
- Experience: 7+ years
Overview
Virtusa is looking for a Lead Backend Engineer – Agentic AI with strong backend software engineering experience and hands-on exposure to modern Agentic AI workflows and Model Context Protocol (MCP) servers. The ideal candidate will have production-grade Python development, strong relational database…
Job description
- Virtusa is looking for a Lead Backend Engineer – Agentic AI with strong backend software engineering experience and hands-on exposure to modern Agentic AI workflows and Model Context Protocol (MCP) servers.
- The ideal candidate will have production-grade Python development, strong relational database/SQL expertise, and solid experience designing scalable backend systems. Candidates do not need to come from a pure AI/ML research background; strong software engineering fundamentals, architecture skills, and practical AI-agent integration experience are the primary focus.
- The selected candidate will also provide technical leadership by driving architecture and design decisions, conducting design reviews, establishing engineering standards, and mentoring other engineers.
Responsibilities
- Design, develop, and maintain scalable, production-grade backend services using Python.
- Own technical direction for a workstream or service area.
- Design modular, maintainable, loosely coupled services with clear domain boundaries.
- Build horizontally scalable systems using stateless architecture, partitioning/sharding, load distribution, and resilient service patterns.
- Design and integrate Agentic AI workflows and MCP-based solutions into production systems.
- Lead technical design reviews and establish software engineering standards.
- Evaluate architecture tradeoffs involving consistency, availability, latency, throughput, scalability, and maintainability.
- Implement event-driven and asynchronous processing patterns where appropriate.
- Apply strong practices around idempotency, caching, API versioning, and fault tolerance.
- Work closely with product, architecture, and engineering stakeholders on technical decisions.
- Mentor engineers on software architecture, coding practices, and system design.
- Drive adoption of Agentic AI/MCP patterns across engineering teams.
Requirements
- 5–7+ years of professional software engineering experience.
- Strong Python development experience as the primary programming language.
- Strong SQL and relational database fundamentals.
- Database schema design
- Data modeling
- Query optimization
- Relational databases
- Hands-on experience with Agentic AI workflows and/or MCP servers.
- Strong understanding of backend architecture and distributed systems.
- Experience designing scalable and resilient production systems.
- Strong knowledge of SOLID principles, modular design, and separation of concerns.
- Strong understanding of domain-driven boundaries and service-oriented architecture.
- Experience with event-driven and asynchronous architectures.
- Strong technical communication and leadership skills.
- Modular architecture
- High cohesion / low coupling
- Bounded components and services
- Stateless application design
- Horizontal scalability
- Partitioning and sharding
- Load distribution
- Avoiding single points of failure/contention
- Event-driven architecture
- Asynchronous processing
- Idempotency
- Caching strategies
- API design and versioning
- Distributed-system reliability
- Performance and scalability optimization
- Technical tradeoff analysis
- Hands-on exposure to Agentic AI is highly important.
- AI agent workflows
- Multi-step agent orchestration
- Tool-using AI agents
- LLM-integrated backend services
- Agent-to-tool integrations
- MCP servers / Model Context Protocol
- AI-driven automation workflows
- Production integration of AI agents with enterprise systems
- Strong backend engineers with practical Agentic AI/MCP experience are preferred over candidates whose experience is primarily AI/ML research.
- Owning technical direction for a service or workstream.
- Making architecture and design decisions.
- Leading design/code reviews.
- Establishing technical standards and best practices.
- Mentoring engineers.
- Communicating architecture decisions to technical and non-technical stakeholders.
- Partnering with product and architecture teams.
- Driving adoption of Agentic AI and MCP patterns.
- Experience 5–7+ Years
- Primary Language Python
- AI Agentic AI / MCP
- Database Relational DB / SQL
- Location Hartford, CT
- Onsite 3 Days/Week
- Employment Contract
- Visa H1B Only
- Google Cloud Platform (GCP)
- AWS
- Candidates should have practical cloud experience deploying or supporting production backend applications.
Skills
Required
- Python
- SQL
- Relational databases
- Database schema design
- Data modeling
- Query optimization
- Agentic AI workflows
- MCP servers
- Backend architecture
- Distributed systems
- SOLID principles
- Modular design
Preferred
- Google Cloud Platform (GCP)
- AWS