Data Engineer

AI Technical Lead / Principal Backend & AI Engineer Experience: 8-15 Years Location: Kochi Employment Type: Full-Time Role Summary We are seeking an experienced AI Technical Lead to design and build enterprise-grade AI platforms, backend systems, and data-driven automation solutions. The ideal candidate should have strong expertise in Python backend development, Generative AI, Agentic AI, cloud-native architectures, and data engineering. The role involves leading technical design, mentoring engineering teams, and delivering scalable AI-powered enterprise applications. Key Responsibilities AI & Generative AI Design and implement enterprise AI applications using LLMs. Build Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge retrieval. Develop Agentic AI workflows using orchestration frameworks. Integrate OpenAI, Azure OpenAI, Claude, Gemini, or similar LLM services. Design prompt engineering strategies and AI evaluation pipelines. Build semantic search using vector databases and embeddings. Design AI APIs and enterprise AI integrations. Backend Engineering Design scalable backend applications using Python. Build RESTful APIs and enterprise backend services. Develop distributed systems and microservices. Implement secure authentication and authorization. Design reusable and maintainable backend architecture. Perform architecture reviews and technical mentoring. Data Engineering Build scalable ETL/ELT pipelines. Design workflow orchestration pipelines using Apache Airflow or equivalent. Develop data transformation pipelines using dbt or similar frameworks. Design operational and analytical data models. Work with structured and semi-structured enterprise datasets. Optimize large-scale data processing workloads. Cloud & Platform Engineering Design cloud-native applications on AWS. Build scalable data pipelines using AWS services. Implement monitoring, logging, and automation. Containerize applications using Docker. Deploy applications using CI/CD pipelines. Ensure security, scalability, and high availability. Search & Knowledge Systems Build enterprise search platforms. Design semantic search and hybrid search solutions. Implement Elasticsearch/OpenSearch. Optimize indexing and retrieval performance. Design enterprise knowledge repositories. Leadership Lead technical teams and mentor engineers. Participate in architecture discussions and solution design. Review code and technical documentation. Collaborate with stakeholders and business teams. Drive engineering best practices and delivery excellence. Required Technical Skills Programming Python SQL Backend Django / FastAPI / Flask REST APIs GraphQL (preferred) Microservices Architecture AI & GenAI Generative AI Large Language Models (LLMs) RAG LangChain LangGraph Prompt Engineering Vector Databases Embeddings OpenAI APIs (or equivalent) Agentic AI Data Engineering Apache Airflow dbt ETL / ELT Data Pipelines Apache Spark / PySpark (preferred) AWS AWS Lambda S3 Glue Redshift Athena EC2 Databases PostgreSQL Amazon Redshift MySQL Redis Cassandra (preferred) Search Technologies Elasticsearch/OpenSearch Kibana Logstash Apache Solr (preferred) DevOps Docker Git CI/CD Linux Good to Have MCP (Model Context Protocol) CrewAI AutoGen OpenTelemetry Grafana Kafka / RabbitMQ Celery GCP (BigQuery, Dataflow) AI Observability AI Guardrails Preferred Candidate 8–15 years of experience in backend engineering, AI, or data engineering. Strong experience leading engineering teams. Hands-on experience building enterprise AI solutions. Experience designing scalable cloud-native platforms. Strong understanding of distributed systems, data architecture, and enterprise software development. Excellent communication and stakeholder management skills.