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Engineer

EngineerEngineerFull TimeRemoteTeam 11-50H1B No SponsorCompany Site LinkedIn

Location

Massachusetts

Posted

93 days ago

Salary

$110K / year

1 yr expExperience acceptedEnglishAzureCloudPython

Job Description

• Build, test, and deploy GenAI applications using Azure OpenAI (GPT-4/4o, embeddings, fine-tuning, RAG, assistants). • Develop agentic workflows using frameworks such as LangChain, AutoGen, Semantic Kernel, or CrewAI. • Implement pipelines for prompts, evaluations, LLM orchestration, and model integration. • Translate conceptual ideas into functional prototypes and production-ready systems. • Integrate models with internal tools, APIs, databases, and structured/unstructured datasets. • Ensure security, privacy, and responsible AI practices throughout development. • Apply evaluation frameworks and testing methodologies for agentic reasoning and model reliability. • Collaborate closely with domain experts, technical leads, and cross-functional teams.

Job Requirements

1–5 years of AI/ML engineering experience OR strong project/portfolio work demonstrating capability.
Formal degrees are optional if equivalent skill is demonstrated.
Strong hands-on experience in Python.
Practical experience with Azure OpenAI or similar LLM platforms.
Experience with at least one AI/GenAI framework (LangChain, AutoGen, Semantic Kernel, CrewAI).
Ability to independently build prototypes and iterative improvements.
Understanding of LLM fundamentals: embeddings, RAG, prompting patterns, evaluations.
Curious, experimental, and self-driven.
Strong problem-solving orientation with a focus on execution.
Comfortable in fast-moving, exploratory environments.
Nice-to-Have Skills
Experience with agentic systems or autonomous task orchestration.
Familiarity with multimodal models, fine-tuning, or retrieval pipelines.
Experience in regulated industries (pharma, healthcare).
Exposure to Azure cloud infrastructure.
Experience with evaluation tools such as Ragas or PromptFoo.