Jobs at Evnek Technologies Pvt Ltd

Develop AI-powered applications using LLMs and generative AI; build RAG pipelines, embeddings, semantic search, and vector database solutions. Integrate LLM APIs, create Python APIs with FastAPI or Flask, perform prompt engineering and model evaluation, and collaborate on scalable AI deployments. The role also involves exploring AI agents, fine-tuning techniques, cloud platforms, and containerization.

Develop and maintain full-stack applications using Azure, .NET 8, C#, React JS, and Tailwind CSS. Work with Python, Power BI, Databricks, Azure SQL, PowerApps, React Native, and CMS platforms such as Sitecore, Tridion, or WordPress. The role requires independent problem-solving, strong communication, technical interviews, and coding challenge participation. Candidates must have at least eight years of professional development experience and work five days per week from the Mumbai office.

Supports recruitment, onboarding, offboarding, employee record maintenance, engagement initiatives, training programs, HR policy updates, research, and administrative HR projects. The role provides broad exposure to HR operations and recruitment while requiring confidentiality, organization, and immediate availability.

Designs enterprise ontologies, taxonomies, semantic models, and knowledge graphs that establish consistent business meaning across data sources. Develops semantic mappings, entity resolution, ontology alignment, inference rules, semantic queries, and governance practices. Builds semantic layers supporting AI-powered retrieval, reasoning, LLM applications, RAG, and Graph RAG. Collaborates with data, architecture, engineering, AI, and business teams to create reusable knowledge foundations.

Designs, develops, and supports Semarchy MDM solutions using xDM, xDI, and Snowflake. Responsibilities include data modeling, match/merge and survivorship rules, golden record management, data quality, deduplication, governance workflows, integrations, Snowflake Native App deployment, SQL optimization, UAT, production support, documentation, and stakeholder collaboration.

Design, develop, deploy, and support production-grade Generative AI applications. Build RAG pipelines, LLM workflows, AI agents, backend APIs, responsive frontends, database and vector-search integrations, and cloud deployments. Own solutions from design through production, including authentication, monitoring, security, performance optimization, troubleshooting, and quality improvements. Collaborate with product, data, AI, and business teams to deliver enterprise applications.

Develop scalable full-stack web applications using Python, React or Next.js, PostgreSQL, and REST APIs. Responsibilities include backend and frontend development, database optimization, performance and reliability improvements, troubleshooting, testing, code reviews, and collaboration with product, design, and engineering teams in an Agile/Scrum environment.

Perform functional, integration, regression, and end-to-end testing for data and AI/ML applications. Validate data quality, transformations, ETL/ELT pipelines, model predictions, and data integrity using SQL and Python. Design test cases, automate testing, track defects, and collaborate with data engineers, data scientists, ML engineers, and development teams. Test model accuracy, performance, consistency, and reliability while supporting API, CI/CD, and data platform testing.

Lead client-facing delivery of AI and data solutions involving LLMs, generative AI, RAG pipelines, cloud platforms, and data architectures. Independently run discovery, scope deliverables, review technical outputs, create SOWs and proposals, present to senior stakeholders, and own delivery outcomes across multiple workstreams. The role emphasizes technical understanding, rapid prototyping, consulting, and embedded client delivery rather than production coding.