Role Summary

The Chryselys PACE team is looking for a Backend Developer to build scalable, secure, and production-ready services for GenAI-enabled applications. The role will focus on backend API development, data ingestion pipelines, web scraping workflows, unstructured data processing, metadata management, and integration with AI/LLM-based systems. The ideal candidate should be comfortable working across application engineering, data engineering, and GenAI solution delivery.

Key Responsibilities

- Design, develop, test, and maintain backend services, APIs, and integration layers for GenAI-driven products and internal platforms.

- Build robust data ingestion pipelines to collect, parse, transform, validate, and prepare structured and unstructured data for downstream AI workflows.

- Develop and maintain reliable web scraping solutions, including scheduling, error handling, data quality checks, rate limiting, and compliance-aware extraction patterns.

- Work with unstructured content such as PDFs, web pages, documents, emails, transcripts, and knowledge repositories, converting them into usable formats for search, analytics, and AI applications.

- Implement metadata extraction, enrichment, tagging, lineage tracking, and indexing strategies to improve discoverability, traceability, and retrieval quality.

- Integrate backend systems with LLM APIs, embedding models, vector databases, retrieval pipelines, and GenAI orchestration frameworks where required.

- Collaborate with product managers, data scientists, GenAI engineers, QA teams, and business stakeholders to translate requirements into scalable technical solutions.

- Ensure backend solutions meet standards for security, performance, observability,



maintainability, and reliability.

- Participate in code reviews, technical design discussions, troubleshooting, documentation, and continuous improvement of engineering practices.

Required Skills and Experience

- Strong backend development experience using Python, Node.js, Java, or a comparable server-side technology stack.

- Hands-on experience designing RESTful APIs, microservices, background jobs, and integration services.

- Experience with GenAI application patterns such as prompt-based workflows, Retrieval-Augmented Generation, embeddings, semantic search, vector stores, or LLM API integration.

- Practical experience with web scraping frameworks and libraries such as BeautifulSoup, Scrapy, Playwright, Selenium, Requests, or equivalent tools.

- Strong understanding of unstructured data extraction, parsing, chunking, normalization, deduplication, validation, and data quality handling.

- Experience managing metadata models, taxonomies, tagging structures, document attributes, source provenance, and indexing strategies.

- Good knowledge of relational and/or NoSQL databases such as PostgreSQL, SQL Server, MongoDB, Elasticsearch, or similar platforms.

- Familiarity with cloud platforms, containerization, CI/CD pipelines, logging, monitoring, and secure deployment practices.





- Ability to write clean, modular, testable, and well-documented code.

- Robust problem-solving skills and ability to work in a fast-paced, cross-functional delivery environment.

Preferred Qualifications

- Experience with frameworks such as FastAPI, Django, Flask, Express.js, Spring Boot, or similar backend frameworks.

- Exposure to LangChain, LlamaIndex, Semantic Kernel, Azure OpenAI, OpenAI APIs, AWS Bedrock, Google Vertex AI, or similar GenAI platforms.

- Experience with vector databases or search platforms such as Azure AI Search, Pinecone, Weaviate, ChromaDB, FAISS, Elasticsearch, or OpenSearch.

- Knowledge of data privacy, responsible AI, secure handling of scraped/public data, and compliance-aware ingestion practices.

- Experience with document intelligence, knowledge management, enterprise search, content extraction, or pharma/life sciences data platforms is a plus.

- Familiarity with agile delivery, Jira/Azure DevOps, Git-based workflows, and production support processes.

Education and Experience

Bachelor s or Master s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. Typically suited for candidates with 3-6 years of backend development experience, including hands-on exposure to GenAI projects, web scraping, unstructured data pipelines, and metadata-driven data platforms.

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Associate (Hyderabad)
🏢 CHRYSELYS
📍 Hyderabad