Machine Learning Engineer

Talent Acquisition Specialist | Passionate About Connecting People & Opportunities | Empowering Careers | Talent Scout

Experience : 5+ years

Must Have

Prompting and proven experience with LLMs such as OpenAI, Azure OpenAI, Claude, and LLaMA.

Strong hands‑on expertise in agentic orchestration frameworks, such as (any) Agno AI, Pydantic AI, LangChain & LangGraph.

Practical knowledge of vector databases (e.g., Pinecone, Azure Cognitive Search), and RAG and its techniques in general.

Solid programming skills in Python.

Experience integrating AI solutions with external APIs and internal platforms.

Understanding of agent protocols such as MCP and A2A.

Excellent problem‑solving skills, autonomy, and a collaborative mindset.

Preferred (Will be a plus)

Familiarity with .NET frameworks such as Microsoft 365 Agents SDK (Bot Framework SDK) and Semantic Kernel.

Experience with Azure AI services, ideally Azure AI foundry.

Ability to mentor teams on prompt engineering and AI / ML best practices.

Responsibilities

Architect, develop, and optimize LLM‑powered agents using frameworks such as Agno AI, Pydantic AI, LangChain, LangGraph, and LlamaIndex.

Implement retrieval‑augmented generation (RAG) workflows, integrating vector databases, embeddings, and semantic search capabilities.

Deploy, fine‑tune, and evaluate LLMs (OpenAI, Azure OpenAI, Claude, LLaMA, and others) for a range of business use cases.

Integrate AI agents with external APIs, internal platforms, and business data sources.

Collaborate with IT engineers and business stakeholders to define requirements and deliver robust, secure AI‑enabled MVPs.

Mentor internal teams on AI / ML best practices, tooling, and prompt engineering.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

IT Services and IT Consulting

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