Note: The job is a remote job and is open to candidates in USA. NAVA Software Solutions is seeking experienced Senior Software Engineers to support ABS’s digital and engineering initiatives across the maritime and energy sectors. The role focuses on designing, building, and deploying agentic AI solutions on a cloud-native Microsoft Azure platform, while collaborating with technical and business stakeholders and mentoring less experienced engineers.
Responsibilities
- Design, develop, and deploy production-grade software and AI-driven applications in a cloud-native environment
- Build and orchestrate agentic AI systems, including multi-step agents, tool and function calling, and retrieval-augmented generation (RAG). These systems should be able to reason, plan, and act across enterprise systems
- Containerize applications with Docker and deploy and manage them on Kubernetes (AKS)
- Architect scalable, secure solutions on Microsoft Azure, using services such as Azure OpenAI / AI Foundry, Azure Functions, and Azure DevOps
- Integrate LLM-based agents with internal APIs, data sources, and business workflows
- Put evaluation, monitoring, guardrails, and observability in place for AI agents running in production
- Work with architects, data engineers, product owners, and business stakeholders in an Agile environment
- Contribute to code reviews, technical design, and engineering best practices. Mentor less experienced engineers
Skills
- 11+ years of professional software engineering experience
- Strong skills in at least one modern language, such as Python, C#/.NET, or Java. Python is preferred for AI work
- Hands-on production experience with Kubernetes and Docker
- Solid experience building and deploying solutions on Microsoft Azure
- Demonstrated experience building agentic AI applications. This includes LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or similar, as well as tool use, memory, and multi-agent patterns
- Experience with RAG pipelines, vector databases, and prompt engineering
- Working knowledge of CI/CD pipelines, Git, and infrastructure-as-code (Terraform, Bicep, or ARM)
- Strong communication skills and the ability to work independently in a remote setting
- Experience with Azure OpenAI Service, Azure AI Foundry, or Azure AI Search
- Background in maritime, offshore, energy, or other engineering-driven or regulated industries
- Familiarity with MLOps/LLMOps practices and with AI evaluation and safety frameworks
- Relevant certifications, such as Azure Developer (AZ-204), Azure AI Engineer (AI-102), or CKA/CKAD
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
Benefits
- Remote work arrangement
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