Senior AI Developer
Key Skills for This Role
Full Job Posting
Key Responsibilities & Technical Skills
- Strong hands-on experience with Azure OpenAI, Microsoft Foundry/Azure AI services , and frameworks such as LangChain/LangGraph, Semantic Kernel, LlamaIndex , or comparable technologies.
- Knowledge of prompt and context engineering, structured outputs, tool/function calling, agent orchestration, memory, and human-in-the-loop workflows .
- Implement MCP servers/clients to securely connect AI agents with enterprise applications, APIs, data, and tools.
- Strong understanding of Microsoft Azure architecture , including Azure AI services, AI Search, API Management, App Services/Functions/Containers, Service Bus, Storage, databases, Key Vault, Entra ID, networking, monitoring, and CI/CD.
- Knowledge of secure, scalable, resilient, observable, and cost-effective cloud architectures using appropriate Azure patterns.
- Strong software engineering experience with Python, C#/.NET, and/or TypeScript/JavaScript , including APIs, microservices, distributed systems, SQL/NoSQL, event-driven architecture, automated testing, Git, and CI/CD.
- Leverage AI-assisted development tools such as GitHub Copilot, Claude Code, OpenAI Codex, or equivalent tools across design, development, testing, debugging, code review, documentation, and modernization.
- Knowledge of AI evaluation practices covering accuracy, groundedness, relevance, hallucination, retrieval quality, safety, latency, and cost .
- Implement AI security and guardrails addressing prompt injection, sensitive-data leakage, insecure tool execution, excessive agency, authentication/authorization, RBAC, and least privilege .
- Knowledge Responsible AI, OWASP LLM security guidance, and NIST AI RMF principles as appropriate.
- Experience & Qualifications
- 4 to 6 years of experience in software engineering and implementation.
- Strong hands-on experience with Microsoft Azure and enterprise application architecture .
- Demonstrated experience developing Generative AI/LLM solutions , including RAG and agentic AI.
- Experience taking AI solutions from prototype/PoC through production deployment .
- Experience with MCP, agent/tool integration, and enterprise AI integration .
- Hands-on experience using AI coding assistants and development agents throughout the SDLC .
- Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence , or a related discipline, or equivalent professional experience.
Preferred Qualifications
- Microsoft Azure Architecture or AI certifications.
- Experience with enterprise RAG, knowledge architectures, and autonomous/semi-autonomous agents.
- Experience implementing MCP-based enterprise integrations.
- Experience with MLOps/LLMOps and AI evaluation/observability platforms .
Professional Skills
- Solid written, verbal, and presentation communication skills
- Strong team and individual player
- Maintains composure during all types of situations and is collaborative by nature
- High standards of professionalism, consistently producing high quality results
- Self-sufficient, independent requiring very little supervision or intervention
- Demonstrate flexibility and openness to bring creative solutions to address issues
About Bridgenext
U.S.-based global digital consultancy engineering AI, data, digital products, infrastructure, and customer experiences for enterprise clients.
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