Senior AI Engineer GenAI / Agentic AI / Financial Services

Mahindra Satyam

Abu Dhabi

Vor Ort

AED 400.000 - 640.000

Vollzeit

vor 47 Stunden
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Zusammenfassung

Mahindra Satyam seeks an experienced AI/GenAI software engineer to design and deploy advanced AI solutions for enterprise finance. You will build multi-agent systems, integrate LLMs into production apps and orchestrate GenAI workflows using LangChain/LangGraph.

You will collaborate with quants and traders, ensure robust retrieval pipelines, and apply best practices in CI/CD, observability and secure enterprise deployment.

Qualifikationen

  • 5+ years of enterprise software development.
  • 2+ years of hands-on AI/GenAI experience.
  • Strong Python development and experience integrating LLMs into production AI applications.
  • Proven experience building Generative AI solutions for financial services; exposure to trading, fixed income, FX or credit is desirable.
  • Strong LLM/GenAI integration experience with models such as OpenAI/GPT or Anthropic/Claude.
  • Hands-on LangChain / LangGraph experience for GenAI workflow orchestration and agentic applications.
  • Experience designing multi-agent/autonomous AI systems capable of coordinating complex tasks.
  • Strong RAG experience, including multi-step retrieval pipelines and integration of structured/unstructured enterprise data.
  • Experience with Azure Cognitive Search, semantic retrieval and conversational/long-term 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 enterprise/regulated environments.
  • Exposure to LLM fine-tuning/adaptation (LoRA, PEFT) is desirable but not mandatory.
  • Ability to work closely with business stakeholders, quants and traders, translating business problems into technical AI solutions.
  • Strong ownership, communication, problem-solving and Agile delivery skills.
  • Bachelor's/Master's degree in Computer Science or equivalent experience.

Kenntnisse

Enterprise software
GenAI experience
Python development
LLM integration
LangChain/LangGraph
Multi-agent/autonomous AI
RAG
AI agent frameworks
LLM context management
Retrieval strategies
LoRA/PEFT
Agile delivery
Business stakeholder collaboration

Ausbildung

Bachelor's/Master's in CS or equivalent

Tools

Docker
Kubernetes
CI/CD
Observability
LangChain
LangGraph
OpenAI Agents SDK
Azure Cognitive Search
OpenAI GPT

Jobbeschreibung

  • 5+ years of enterprise software development, including 2+ years of hands-on AI/GenAI experience
  • Strong Python development and experience integrating LLMs into production AI applications
  • Proven experience building Generative AI solutions for financial services; exposure to trading, fixed income, FX or credit is highly desirable
  • Strong LLM / GenAI integration experience with models such as OpenAI/GPT or Anthropic/Claude
  • Hands‑on LangChain / LangGraph experience for GenAI workflow orchestration and agentic applications
  • Experience designing multi‑agent / autonomous AI systems capable of coordinating complex tasks
  • Strong RAG experience, including multi-step retrieval pipelines and integration of structured/unstructured enterprise data
  • Experience with Azure Cognitive Search, semantic retrieval and conversational/long-term 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 enterprise/regulated environments
  • Exposure to LLM fine‑tuning / adaptation (LoRA, PEFT) is desirable but not mandatory
  • Ability to work closely with business stakeholders, quants and traders, translating business problems into technical AI solutions
  • Strong ownership, communication, problem-solving and Agile delivery skills
  • Bachelor's/Master's degree in Computer Science or equivalent experience
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