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Tech Stack
Tools & technologiesAzureCloudKubernetesMicroservicesPython
About the role
Key responsibilities & impact- Design and develop cloud-native AI solutions using Azure Functions, Azure AI Search, and Microsoft Azure AI Foundry.
- Build and integrate large language model (LLM) pipelines, RAG architectures, and agentic workflows into enterprise applications
- Develop serverless microservices and event-driven architectures on the Azure platform
- Implement and optimize AI Search indexes, semantic ranking, and hybrid retrieval strategies
- Collaborate with stakeholders to translate business requirements into robust AI-powered features
- Ensure solutions meet performance, security, and compliance standards through testing, monitoring, and iterative improvement
- Mentor junior developers and contribute to internal best practices around AI engineering
Requirements
What you’ll need- 3+ years in software or AI/ML development
- Hands-on experience with Azure Functions(consumption or premium plans, durable functions a plus)
- Practical knowledge of Azure AI Search — index design, skillsets, semantic search, and vector search
- Experience working within Microsoft Azure AI Foundry (prompt flows, model deployments, evaluations)
- Proficiency in Python and/or C#
- Solid understanding of REST API design and integration patterns
- Familiarity with LLMs, embeddings, and retrieval-augmented generation (RAG)
- Experience with Azure DevOps or CI/CD pipelines for AI workloads
- NICE TO HAVE: Experience with Azure OpenAI Service and prompt engineering
- Knowledge of LangChain, Semantic Kernel, or similar AI orchestration frameworks
- Familiarity with Azure Container Apps or Kubernetes (AKS)
- Exposure to responsible AI principles and content safety tooling
- Experience with vector databases (e.g., Qdrant, Weaviate, Pinecone)
- Microsoft Azure AI/Data certifications (e.g., AI-102, DP-100)
Benefits
Comp & perks- Competitive compensation package commensurate with experience.
- Government-mandated benefits plus supplemental HMO coverage.
- Collaborative and professional work environment.
- Career growth opportunities within a growing finance organization.
- Hybrid/Remote work arrangement (where applicable).
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
cloud-native AI solutionsAzure FunctionsAzure AI SearchMicrosoft Azure AI Foundrylarge language model (LLM) pipelinesevent-driven architecturesREST API designPythonC#vector databases
Soft Skills
collaborationmentoringcommunicationproblem-solvingiterative improvement
Certifications
Microsoft Azure AI/Data certificationsAI-102DP-100
