Senior Software Engineer (Agentic AI)

Role: Senior Software Engineer (Agentic AI) (Senior / Lead)

Location: Hartford, CT / Minneapolis MN - (Hybrid)

Duration: 12+ Month Contract

Key Skills: Python, SQL, Agentic AI, MCP, Preffered Google Cloud Platform, or AWS, Modular Design, API versioning, RESTFul API, WebSocket, OAuth /Observability

Job Description:

• We're looking for engineers who can design and build production systems that combine strong software fundamentals with hands-on exposure to modern AI/ML tooling - specifically agentic AI workflows and Model Context Protocol (MCP) servers. You don't need to come from a pure AI/ML background; what matters is strong core engineering skills, sound architectural judgment, and the ability to pick up (or already know) how to integrate AI agents into real systems.
• This is a single posting covering both Senior and Lead levels - candidates with 4 7 years of experience are encouraged to apply.

Must-Have Skills

• Python - strong, production-grade proficiency (primary language)
• Databases - solid relational/SQL fundamentals; schema design, query optimization, data modeling
• Cloud platform - strong hands-on experience with at least one of: Google Cloud Platform (Google Cloud Platform)
• (preferred), or AWS (acceptable alternative)
• 4+ years of professional software engineering experience

Design & Architecture Thinking Required:

• Strong grounding in modular design - clear separation of concerns, well-bounded
• components/services, low coupling / high cohesion
• Ability to design systems that scale horizontally - statelessness where it matters, partitioning/sharding strategy, load distribution, avoiding single points of contention
• Working fluency in core design patterns and principles (e.g., SOLID, domain-driven boundaries, event-driven/async patterns, idempotency, caching strategies, API versioning) and knowing when to apply vs. avoid them
• Comfortable reasoning about tradeoffs: consistency vs. availability, latency vs. throughput, build vs. buy, synchronous vs. async workflows
• For Lead specifically: expected to drive these principles - set direction in design reviews, push back on designs that won't scale, and mentor others toward this way of thinking rather than just applying it.

API & Real-Time Integration Best Practices

• Strong grasp of RESTful API design - resource modeling, versioning, pagination, idempotency for retries, proper status codes/error contracts
• Practical experience with WebSocket-based real-time communication - connection lifecycle management, reconnection/backoff strategy, heartbeat/keep-alive handling, and graceful degradation when a socket drops
• Understands tradeoffs between REST, WebSockets, and event-driven/streaming integration patterns, and picks the right one for the use case
• Follows security best practices for integrations - authentication/authorization (OAuth2, token scoping), input validation, rate limiting, and safe handling of external payloads
• Designs integrations for observability and resilience - structured logging, timeouts, circuit breakers, and clear failure modes rather than silent drops

About Us WinningEdge:

Job Search can be a painful & frustrating process. We take time to understand candidate skill sets, and job search preferences and match them with our ideal clients. Our team has a combined experience of over 10 years and we have successfully placed hundreds of candidates.

Senior Software Engineer (Agentic AI)Connecticut,Minnesota