Senior GenAI Engineer - Financial Services & Multi-Agent AI

Tech Mahindra

Abu Dhabi

On-site

AED 260,000 - 480,000

Full time

11 hours ago
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Job summary

Tech Mahindra in Abu Dhabi is seeking a senior AI/GenAI engineer with 5+ years in enterprise software and 2+ years hands-on GenAI. You will design and deploy generative AI solutions for financial services, integrating LangChain, OpenAI/Anthropic tools, and scalable AI agents in regulated environments.

Ideal candidates have strong Python development skills and a background in deploying AI with Docker, Kubernetes, CI/CD, and observability tooling in enterprise settings.

Qualifications

  • 5+ years in enterprise software development, including 2+ years in AI/GenAI.
  • Strong Python development and production AI integration experience.
  • Experience building generative AI solutions for financial services.
  • Hands-on LangChain / LangGraph for GenAI workflows and agentic apps.
  • Experience designing multi-agent / autonomous AI systems and coordinating complex tasks.
  • Strong RAG experience with multi-step retrieval pipelines and data integration.
  • Experience with Azure Cognitive Search, semantic retrieval and memory solutions.
  • Experience with AI agent frameworks, ideally OpenAI Agents SDK.
  • Understanding of LLM context management, retrieval strategies and extended-context models.
  • Experience deploying AI solutions using Docker, Kubernetes, CI/CD and observability in regulated environments.

Skills

Python
GenAI integration
Generative AI in finance
LLM context management
Multi-agent systems
RAG pipelines
Azure Cognitive Search
AI agent frameworks
Agile delivery
Stakeholder collaboration

Education

Bachelor/Master in Computer Science or equivalent

Tools

LangChain
LangGraph
OpenAI Agents SDK
LoRA/PEFT
Docker
Kubernetes
CI/CD
Observability tools

Job description

Tech Mahindra in Abu Dhabi is seeking a senior AI/GenAI engineer with 5+ years in enterprise software and 2+ years hands-on GenAI. You will design and deploy generative AI solutions for financial services, integrating LangChain, OpenAI/Anthropic tools, and scalable AI agents in regulated environments.

Ideal candidates have strong Python development skills and a background in deploying AI with Docker, Kubernetes, CI/CD, and observability tooling in enterprise settings.

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