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Salary
≈ $23k – $48k per year (Estimated)
Location
In office (Bengaluru, Gurgaon)
Experience
6+ years exp

First seen by Alion on Oct 26, 2026.

Overview
Company
Impact
Profile match
Whilter.AI is marketing that compounds: one connected engine that acquires, converts, and retains customers at scale, so every campaign makes the next one smarter.

AI/ML Engineer (Agentic Frameworks Specialist)

The AI/ML Engineer will drive the next-generation intelligent agent ecosystem for the company. Operating within the Azure AI Foundry (Agent Factory), this role leverages modern engineering skills to wrap migrated data fabrics into context-aware agents. You will design advanced multi-agent orchestrations, manage programmatic LangChain paths, and build reliable vector indexing pipelines.

Role Details:

Positions Available: 1

AI Architecture: Azure AI Foundry / Agent Factory, OpenAI LLM Integration

Orchestration Systems: LangChain, Agentic Multi-Agent Frameworks, Vector DB Indexing

Key Responsibilities:

- Develop and deploy production-ready agentic architectures utilizing the Azure AI Foundry / Agent Factory environment to serve domain-specific needs.

- Construct resilient orchestration paths using LangChain and advanced multi-agent frameworks, enabling complex, multi-turn reasoning and tool-calling capabilities.

- Integrate and fine-tune system prompts, semantic templates, and contextual behaviors leveraging advanced OpenAI foundational models.

- Build high-performance, real-time context retrieval paths connecting Azure AI Search vector databases with curated Databricks Silver layer inputs.

- Implement evaluation guardrails, tracking prompt injection risks, drift metrics, and system response latency across execution nodes.

Technical Requirements:

- Software engineering foundations with advanced coding skills in Python, focused on modular design, asynchronous patterns, and testing discipline.

- Practical experience building systems using LangChain, Semantic Kernel, or equivalent agentic and multi-agent interaction frameworks.

- Hands-on execution experience with Azure AI Foundry (formerly Azure AI Studio) or similar enterprise cloud LLM orchestration layers.

- Familiarity with vector database paradigms, embedding space configurations, and context injection pipelines (RAG).

- Ability to collaborate across data teams to ingest, structure, and exploit clean business domain data safely within automated inference loops.

Skills

Artificial Intelligence, Machine Learning, Agentic AI, Python, LangChain, Generative AI, Azure, RAG, Prompt Engineering

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