AI Engineer

Symphoni HR • Python • 9 days ago
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Salary
≈ $22k – $44k per year (Estimated)
Location
In office (Mumbai)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Sep 19, 2026. Symphoni HR scores A on the Alion truth index.

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Symphoni HR

Symphoni HR is an executive search and specialist recruitment firm headquartered in Malad West, Mumbai, handling board, CEO and CXO appointments alongside technology hiring, recruitment process outsourcing, project hiring and fractional leadership services. Established in 2003, it reports more than 100,000 candidates hired and over 5,000 C-suite and senior mandates for 300+ clients across practices such as global capability centres, financial services, technology, industrial and healthcare. The roles on its board are client vacancies, mostly in Mumbai, Bengaluru and Pune, for Java and C++ developers, data engineers, DevOps and GenAI engineers, business analysts and project managers.
symphonihr.com • HQ: Mumbai, India • Recruiting & Staffing • Executive Search • 201-500 employees • Est. 2003

We are seeking an experienced AI Engineer to design, build, and operate enterprise-grade Generative AI capabilities. You will work within a collaborative environment to develop secure, scalable AI agents and RAG pipelines that support critical business functions and virtual assistant ecosystems.

Our client is a leading global provider of financial services and analytics, supporting institutions with high-end research and technology solutions. They are currently expanding their AI Center of Excellence to drive digital transformation and innovation across their enterprise platforms.

Responsibilities

  • Develop and deploy Python-based AI services, including prompt workflows, RAG pipelines, and multi-agent systems.
  • Configure and integrate Azure OpenAI, Azure AI Foundry, Azure AI Search, and Microsoft Fabric to support AI initiatives.
  • Implement robust APIs, tool integrations, and function-calling mechanisms to enhance agentic capabilities.
  • Build and maintain MLOps pipelines, including CI/CD, automated testing, and evaluation datasets.
  • Monitor AI service performance, focusing on latency, reliability, safety, and cost-optimization.
  • Ensure all AI solutions adhere to strict security, privacy, and Responsible AI governance standards.
  • Collaborate with architects and product teams to define reusable engineering patterns and technical standards.
  • Produce comprehensive technical documentation, deployment instructions, and operational runbooks.

Requirements

  • 5-7 years of professional experience in software engineering with a focus on AI/ML.
  • Strong proficiency in Python and experience with LLM application development.
  • Hands-on expertise in Prompt Engineering, RAG, AI agents, and multi-agent systems.
  • Deep technical knowledge of the Azure AI ecosystem, including Azure OpenAI, Azure AI Foundry, and Azure AI Search.
  • Experience with cloud-native technologies such as Azure Functions, AKS, and Azure API Management.
  • Familiarity with Microsoft Fabric, MCP, and advanced tool/function calling techniques.
  • Prior experience in the banking or financial services sector is highly preferred.
  • Strong understanding of MLOps practices and production-grade AI deployment.
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