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Synechron

Digital transformation consulting for financial services

Data Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • The candidate must have 5–8 years of professional experience in data engineering, software engineering, or a related role.
  • The candidate must have strong Python development skills and hands-on experience with FastAPI and REST API development.
  • The candidate must have strong SQL and NoSQL query-writing skills.
  • The candidate must have hands-on experience with Azure OpenAI, OpenAI APIs, generative AI, and GPT-4/GPT-5.
  • The candidate must have experience building LLM applications, RAG pipelines, AI agents, and agentic AI solutions.
  • The candidate must have practical experience with LangChain, LangGraph, vector databases, embeddings, vector search, and semantic search.
  • The candidate must have experience with Azure Blob Storage, Azure Databases, Git, and GitHub.
  • The candidate must have experience with AI model evaluation, testing, troubleshooting, deployment, monitoring, and observability.
  • The candidate must possess a valid work permit for Serbia.

Responsibilities

  • Design, develop, and maintain Python-based data and AI applications, including REST APIs using FastAPI.
  • Build and optimize LLM applications, RAG pipelines, semantic search solutions, and AI agents using LangChain and LangGraph.
  • Integrate Azure OpenAI and OpenAI APIs, working with GPT-4 and GPT-5 models, embeddings, vector databases, and Azure data services.
  • Develop efficient SQL and NoSQL queries and work with Azure Blob Storage and Azure Databases.
  • Evaluate, test, troubleshoot, deploy, and monitor AI models and applications to ensure quality, reliability, and performance.
  • Collaborate with engineering and product teams and contribute to clean code, Git/GitHub workflows, CI/CD, and technical documentation.

Desired Qualifications

  • Experience with Flask or Django, Knowledge Graphs, Ontology concepts, and Semantic Layers.
  • Exposure to MLOps and LLMOps practices and frameworks.
  • Knowledge of Elasticsearch, Kafka, and Redis.
  • Experience with Docker, Kubernetes, CI/CD pipelines, Azure DevOps, or GitHub Actions.
  • Exposure to AWS or GCP cloud services.
  • Experience developing conversational AI or Copilot solutions.

About the Company

Synechron

Digital transformation consulting for financial services

Synechron accelerates digital transformation for banks, asset managers, and insurance companies by delivering end-to-end digital, business consulting, and technology services. Its offerings help clients tackle complex business challenges through tailored solutions that combine technology implementation with strategic advisory. The company differentiates itself through its global delivery network, industry focus, and ability to provide integrated services across digital platforms, data, and operations. The goal is to help financial institutions move faster on digital initiatives, improve customer experiences, and optimize operations across worldwide markets.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2001

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