iXceed Solutions
AWS Data Engineer
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Role - AWS Data Engineer
Location - London, UK (Hybrid)
Type - Contract (Inside IR35)
Job Description:
Job Summary
We are looking for a Senior AWS Data Developer with 7–10 years of experience building cloud-native data and AI applications on AWS. Strong expertise in Python, serverless data engineering, RAG, Agentic AI, LangChain, LangGraph, FastAPI, LLMOps, prompt/context engineering, and scalable data platforms., LangGraph State Management, Model Context Protocol (MCP), Vector Databases (FAISS, ChromaDB, Pinecone, Milvus), AI Evaluation & Guardrails, AI Observability
Key Responsibilities
- Design and build scalable, serverless data pipelines and AI-powered applications on AWS
- Architect and implement RAG (Retrieval-Augmented Generation) and Agentic AI solutions using LangChain, LangGraph, and FastAPI
- Build multi-agent orchestration systems and tool-calling patterns
- Integrate vector databases (FAISS, ChromaDB, Pinecone) for semantic search and knowledge retrieval
- Implement prompt engineering and context engineering strategies for LLM-driven workflows
- Establish LLMOps practices — model versioning, evaluation pipelines, AI guardrails, and observability (LangSmith, CloudWatch)
- Develop Python-based ETL/ELT frameworks for large-scale batch and streaming data processing
- Build reusable APIs (FastAPI), shared libraries, and common data frameworks consumed across teams
- Implement Model Context Protocol (MCP) for structured LLM interactions and tool integration
- Set up AI evaluation and monitoring — response quality metrics, hallucination detection, latency tracking
- Optimize application performance, cost, and reliability across data and AI workloads
- Troubleshoot production issues across data pipelines and AI services; participate in code reviews
- Collaborate with architects, ML engineers, DevOps, and business stakeholders to deliver end-to-end solutions
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Required Skills
- Programming: Python, PySpark, SQL, FastAPI, OOP, Async Programming
- AWS: Lambda, S3, SQS, SNS, Step Functions, EventBridge, Glue, Athena, DynamoDB, API Gateway, IAM, CloudWatch, Secrets Manager, Bedrock, Sagemaker
- AI Engineering: LangChain, LangGraph, LangSmith (monitoring), RAG, Agentic RAG, AI Agents, Multi-Agent Systems, Prompt Engineering, Context Engineering, LLMOps, Agentic Orchestration.
- Data Engineering: Apache Spark, Apache Iceberg, ETL/ELT, Parquet, Schema Evolution.
- DevOps: Docker, Git, LangGraph State Management, Model Context Protocol (MCP), Vector Databases (FAISS, ChromaDB, Pinecone, Milvus), AI Evaluation & Guardrails, AI Observability
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Required Experience
- 7+ years of software/data application development experience
- 5+ years of hands-on AWS development (Lambda, Step Functions, S3, Glue, Athena, Bedrock, SageMaker)
- Strong expertise in Python, SQL, and FastAPI development
- Experience building serverless, event-driven data and AI applications on AWS
- Hands-on experience with RAG pipelines, Agentic AI, and multi-agent orchestration (LangChain, LangGraph)
- Experience with vector databases (FAISS, ChromaDB, Pinecone, Milvus) and semantic retrieval patterns
- Proficiency in prompt engineering, context engineering, and LLM integration
- Experience with LLMOps — model evaluation, AI guardrails, observability (LangSmith), and deployment automation
- Experience developing Spark/PySpark-based data processing solutions
- Experience working with Apache Iceberg or similar lakehouse table formats
- Familiarity with AI evaluation frameworks, hallucination detection, and response quality monitoring
- Experience implementing CI/CD pipelines
- Experience working in Agile development environments
Preferred Qualifications
- AWS Certified Developer – Associate
- AWS Certified Data Engineer – Associate
- AWS Certified Solutions Architect – Associate
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