Evnek Technologies Pvt Ltd

Role Description The Forward Deployed Engineer - LLM/Gen AI will be responsible for the following: - Solid understanding of data platforms — data lakes, pipelines, transformation, and how data flows from source to AI model. - Working knowledge of Generative AI, LLMs, and RAG pipelines — enough to scope deliverables and review outputs critically. - Ability to read and understand data models, architecture diagrams, and API specs — you don't write production code but understand what's being built. - Cloud platforms — AWS and/or Azure — data and AI services at a conceptual and delivery level. - Familiarity with Snowflake, Databricks, or equivalent — enough for informed conversations with data engineers. - Experience using AI platforms and tools to rapidly prototype and demonstrate solutions to clients. Qualifications - 6–10 years in AI/data product delivery, technical consulting, or engineering — not pure product management. - Proven ability to run discovery independently — without a senior consultant holding your hand. - Strong client-facing presence — comfortable presenting to senior business and technology stakeholders. - Experience writing SOWs, project proposals, or technical specifications that get signed off by clients. - Track record of owning delivery outcomes — accountable for the result, not just managing tasks. - Experience in consulting, professional services, or embedded delivery model strongly preferred. - Ability to manage multiple workstreams simultaneously in a fast-paced pod environment. Requirements - Cloud Architecture (AWS/Azure/GCP) - AI/ML, Generative AI, and Large Language Models (LLMs) - Retrieval-Augmented Generation (RAG) and AI Agents - API Design and Enterprise Integrations - Data Pipelines, Data Lakehouse, and Data Mesh - MLOps, CI/CD, Model Registry, and Model Observability - Security, Governance, and Cost Optimization

Role Description We are looking for an experienced GenAI Technical Lead with a proven track record of delivering production-grade Generative AI solutions for enterprise applications. The ideal candidate should possess deep expertise in designing, developing, and deploying end-to-end GenAI solutions, with mandatory exposure to Databricks and Azure environments. - Design, develop, and deploy end-to-end Generative AI solutions for enterprise use cases. - Architect and implement Retrieval-Augmented Generation (RAG) pipelines. - Lead complete GenAI POC development, including solution architecture, development, testing, and deployment. - Design and optimize prompt engineering strategies for improved LLM performance. - Develop and orchestrate Large Language Model (LLM) workflows and agent-based AI systems. - Build scalable backend services and APIs using Python, FastAPI, or Flask. - Integrate GenAI applications with enterprise platforms, databases, and business systems. - Deploy and manage applications on Microsoft Azure, including Web Apps, Function Apps, and Virtual Machines. - Work with Databricks for data engineering pipelines, model workflows, and AI solution integration. - Collaborate with business stakeholders, architects, and cross-functional teams to deliver AI-driven solutions. - Mentor junior developers and provide technical leadership throughout the project lifecycle. Qualifications - 4+ years of overall software development experience. - Hands-on experience delivering production-level Generative AI solutions (POCs or personal projects alone will not be considered). - Strong expertise in: - Retrieval-Augmented Generation (RAG) - Prompt Engineering - LLM workflows and orchestration - Enterprise GenAI solution development - Strong programming skills in Python. - Experience building REST APIs using FastAPI, Flask, or similar frameworks. - Proven ability to build complete GenAI solutions from scratch. Company Description

Role Description We are seeking a highly experienced Workday Functional Consultant with deep expertise in Workday HRMS modules to join our team on a part-time remote engagement. The ideal candidate will have strong experience in Workday implementation, configuration, support, and optimization, particularly within Compensation and Workforce Management modules. This role requires close collaboration with HR and IT stakeholders while providing support during Pacific Standard Time (PST) business hours. Key Responsibilities - Provide functional consulting, configuration, and support for Workday HRMS modules, including: - Advanced Compensation - Compensation - Time Management - Absence Management - Collaborate with HR, business users, and IT teams to gather requirements and translate business needs into effective Workday solutions. - Configure, test, and deploy Workday enhancements, business processes, and system updates. - Troubleshoot and resolve functional issues related to Workday modules and integrations. - Perform impact analysis and recommend best practices for process improvements. - Support Workday releases, updates, and ongoing system maintenance activities. - Develop and maintain functional documentation, test scripts, and training materials. - Provide user training and knowledge transfer to HR teams and end-users. - Ensure data integrity, security, compliance, and adherence to organizational policies. - Participate in stakeholder meetings and provide support during PST business hours. Qualifications - 8+ years of overall experience working with Workday HRMS solutions. - Strong hands-on expertise in: - Workday Advanced Compensation - Workday Compensation - Workday Time Management - Workday Absence Management - Extensive experience in Workday configuration, business processes, security, and reporting. - Strong understanding of HR operations and workforce management processes. - Experience with Workday implementations, enhancements, and production support. - Ability to analyze business requirements and recommend scalable Workday solutions. - Excellent troubleshooting and problem-solving skills. - Strong communication, stakeholder management, and documentation abilities. - Ability to work independently in a remote environment and manage multiple priorities. - Prior experience supporting global teams or clients across PST time zones. Preferred Qualifications - Workday Functional Certifications in relevant HRMS modules. - Experience working in global HR transformation or Workday implementation projects. - Knowledge of Workday reporting, calculated fields, and dashboards. - Experience with change management and user adoption initiatives.

Role Description We are seeking an experienced Senior SAP BTP & Cloud DevOps Engineer to join our team and drive the development, automation, and operational excellence of enterprise-grade SAP cloud solutions. The ideal candidate will possess strong expertise in SAP BTP, SAP CAP development, cloud infrastructure operations, DevOps practices, and modern automation technologies, including AI-assisted development tools. This role requires a proactive professional who can independently manage technical initiatives, collaborate across global teams, and contribute to the continuous improvement of cloud-native platforms and delivery processes. Key Responsibilities - Research, analyze, design, and implement technical solutions aligned with SAP product standards and business requirements. - Own the complete lifecycle of technical initiatives, including planning, implementation, monitoring, reporting, and closure. - Manage multiple concurrent workstreams while ensuring timely delivery and quality outcomes. - Collaborate closely with architects, developers, QA engineers, product managers, and cross-functional stakeholders. - Develop and maintain technical documentation, operational procedures, and knowledge-sharing materials. - Drive automation initiatives to improve deployment efficiency, platform reliability, and operational excellence. - Support cloud infrastructure operations, release management, and platform governance activities. - Contribute to security, compliance, and open-source governance initiatives. - Monitor and improve engineering performance metrics, including DORA metrics and deployment efficiency. - Evaluate and leverage AI-powered development tools, agents, and automation frameworks to enhance productivity. Qualifications - SAP CAP Application Development (Node.js) - SAP HANA Database Operations & Administration - SAP Business Technology Platform (BTP) – Cloud Foundry - SAP Gardener - SAP Converged Cloud (MONSOON3) - SAP Hyperspace - Jenkins (Pipelines, Groovy DSL, Shared Libraries) - GitHub & GitHub Actions - CI/CD Pipeline Design and Automation - Piper Libraries - Release Management Processes - DORA Metrics Implementation and Monitoring - Kubernetes, Docker, OpenShift, Cloud Infrastructure Operations, Linux Administration - Node.js, Python, Java, Groovy, JavaScript / TypeScript, Shell Scripting, YAML, JSON - AI-powered Development Tools and Coding Assistants - AI Agents, Plugins, and MCPs (Model Context Protocols) - Experience with Claude Code or similar AI-assisted engineering tools is highly preferred Preferred Qualifications - Strong understanding of cloud-native architecture and distributed systems.

Role Description We are seeking an experienced ServiceNow Technical Architect to lead the architecture, design, and implementation of enterprise-scale ServiceNow solutions. The ideal candidate will be responsible for defining and driving the end-to-end ServiceNow platform architecture, ensuring scalable, secure, and future-ready solutions aligned with business objectives and enterprise standards. This role requires deep expertise across ServiceNow modules, strong integration capabilities, CMDB governance experience, and the ability to guide complex digital transformation initiatives. Key Responsibilities - Define and own the end-to-end ServiceNow platform architecture aligned with enterprise standards and strategic roadmaps. - Design scalable and secure solutions across ServiceNow ITSM, ITOM, ITAM, CMDB, and Discovery modules. - Lead CMDB architecture design, including CI class models, data structures, relationship mapping, and governance frameworks. - Architect and manage integrations using Integration Hub, REST APIs, SOAP services, and MID Servers. - Design and oversee advanced ServiceNow customizations, including Business Rules, Flow Designer, Script Includes, UI Policies, Client Scripts, and Workflows. - Implement and optimize ServiceNow Discovery and Service Mapping solutions. - Establish CMDB governance processes, including normalization, reconciliation, audits, and data quality initiatives. - Translate complex business requirements into scalable technical solutions and architecture designs. - Provide technical leadership and architectural guidance to development and implementation teams. - Support pre-sales engagements, solution demonstrations, effort estimations, architecture reviews, and client discussions. - Ensure adherence to ServiceNow best practices, security standards, and performance optimization guidelines. Qualifications - 10+ years of overall IT experience with significant expertise in ServiceNow architecture and implementation. - Strong hands-on experience with ServiceNow ITSM, ITOM, ITAM, CMDB, and Discovery. - Deep understanding of ServiceNow platform architecture, capabilities, and implementation best practices. - Strong proficiency in JavaScript, Glide APIs, and ServiceNow server-side/client-side scripting. - Extensive experience designing and implementing enterprise integrations using REST, SOAP, MID Servers, and Integration Hub. - Proven experience architecting large-scale ServiceNow environments and complex workflows. - Strong understanding of CMDB design, governance, and operational processes. - Ability to convert business requirements into robust technical architecture and implementation plans. - Excellent communication and stakeholder management skills. Good-to-Have Skills - Experience with ServiceNow Now Assist, Predictive Intelligence, and Virtual Agent. - Exposure to multi-instance or large enterprise ServiceNow environments. - Pre-sales, consulting, or customer-facing solutioning experience. - Knowledge of ServiceNow platform modernization and AI-driven automation capabilities. Preferred Certifications - ServiceNow Certified System Administrator (CSA) - ServiceNow Certified Application Developer (CAD) - CIS – ITOM Discovery - Additional ServiceNow Architect-level certifications are highly desirable

Role Description We are looking for a passionate and motivated AI Intern to join our team. This internship offers hands-on experience in Artificial Intelligence and Machine Learning, providing exposure to real-world projects and industry practices. Key Responsibilities - Assist in developing and testing AI/ML models - Work with data collection, cleaning, and preprocessing - Support implementation of algorithms related to machine learning, NLP, or computer vision - Collaborate with the development team on AI-driven solutions - Document findings, models, and project outcomes - Stay updated with the latest AI and ML trends Qualifications - Currently pursuing or recently completed a degree in Computer Science, AI, Data Science, or related fields - Knowledge of NLP, Deep Learning, or Computer Vision is an added advantage - Strong willingness to learn and adapt Requirements - Basic understanding of Artificial Intelligence and Machine Learning concepts - Programming knowledge in Python - Familiarity with libraries such as NumPy, Pandas, Scikit-learn (TensorFlow/PyTorch is a plus) - Basic knowledge of data structures and algorithms - Good analytical and problem-solving skills

Role Description We are looking for a Data Engineer with strong experience in SQL Server, Azure, Databricks, and Data Migration to build scalable data solutions and support enterprise data platforms. Key Responsibilities - Design and develop solutions for migrating data from SQL Server to Databricks - Work with Databricks, Apache Spark, ADF, DBT Cloud, and Delta Lake - Manage Data Lake, Unity Catalog, and Lakehouse architecture - Build and optimize data marts and data warehouse solutions - Write advanced SQL queries, stored procedures, triggers, and views - Perform query optimization and database performance tuning - Support rapid prototyping, POCs, and enterprise architecture improvements - Collaborate with teams on release planning and technical requirements - Ensure compliance with security policies and best practices Qualifications - Strong hands-on experience in MS SQL Server and Azure SQL - Expertise in Databricks, SQL, ADF, Delta Lake, and Unity Catalog - Experience with Data Lake and Data Migration projects - Strong knowledge of data warehousing (Star / Snowflake Schema) - Experience in query optimization and performance tuning - Understanding of REST APIs, JSON, and version control systems - Good communication and problem-solving skills Requirements - Experience with Apache Spark, Airflow, and Lakehouse architecture (Good to Have) - Exposure to unit testing and branching/merging strategies (Good to Have)

Role Description We are looking for a highly experienced Salesforce Admin/Developer with strong expertise in Sales Cloud to support the design, development, and implementation of scalable Salesforce solutions. In this role, you will work closely with the Solution Architect to deliver secure, high-performing configurations and customizations. The ideal candidate will have strong hands-on experience across administration, development, integrations, and automation, ensuring seamless execution of business processes. Key Responsibilities - Implement Salesforce solutions aligned with architecture and design guidelines - Configure and manage Sales Cloud features including Leads, Accounts, Opportunities, and Territory Management - Design and build Flows (Record-Triggered, Scheduled, Screen Flows) for business process automation - Develop custom solutions using Apex, Triggers, and Lightning Web Components (LWC) - Configure Salesforce security model — OWD, roles, sharing rules, permission sets, and field-level security - Build and support integrations with external systems (e.g., NetSuite) using REST APIs, Named Credentials, and OAuth - Configure and support DocuSign AppExchange integration (templates, envelopes, workflows) - Create and maintain custom objects, fields, validation rules, page layouts, and Lightning pages - Ensure adherence to governor limits and implement bulk-safe coding practices - Support data migration activities — data import, cleansing, deduplication, and validation - Participate in Agile ceremonies (sprint planning, stand-ups, demos) - Provide UAT support including defect resolution and deployment readiness - Maintain technical documentation for configurations and releases - Collaborate with stakeholders to translate business requirements into scalable Salesforce solutions Qualifications - 8+ years of Salesforce experience (Admin and Developer roles) - Strong hands-on experience in Salesforce Sales Cloud implementations - Expertise in Salesforce Flow and decision-making between Flow vs Apex - Proficiency in Apex, Triggers, and Lightning Web Components (LWC) - Strong understanding of Salesforce security model (OWD, roles, sharing rules, permission sets) - Experience with Salesforce integrations: - REST APIs - Named Credentials - Connected Apps - OAuth 2.0 - Hands-on experience with DocuSign for Salesforce or similar e-signature tools - Exposure to ERP integrations such as NetSuite - Knowledge of Salesforce governor limits and performance optimization - Experience with data migration tools like Data Loader and data quality best practices - Familiarity with Agile/Scrum methodologies - Strong communication and stakeholder management skills Good-to-Have Skills - Salesforce Certifications: - Salesforce Administrator - Platform Developer I / II - Experience with Salesforce Maps or field sales tools - Exposure to mobile-first Salesforce implementations - Domain experience in FMCG, distribution, or field sales - Basic understanding of DevOps tools such as Copado, Gearset, or CI/CD pipelines

Role Description We are looking for a seasoned Salesforce Solution Architect to lead the end-to-end technical design and delivery oversight for a Salesforce Sales Cloud implementation. This is a critical leadership role, where the Architect defines the entire Phase 1 blueprint, drives key technical decisions, and ensures the solution is scalable, secure, and delivered on time. You will own the integration design with external systems like NetSuite and DocuSign, and act as the final technical authority before go-live. - Own the end-to-end solution architecture, including data model, security model, automation design, and integration patterns. - Define and govern Salesforce security model — OWD, sharing rules, role hierarchy, and permission sets. - Make key technical decisions (TDD) — Flow vs Apex, custom vs standard objects, managed vs unmanaged packages. - Lead NetSuite integration design, including REST API feasibility and territory cache strategy for Phase 1. - Oversee DocuSign AppExchange integration — package setup, template design, and callback workflows. - Review and approve all configurations and customizations (Flows, objects, page layouts, data model). - Identify and mitigate Salesforce governor limit risks, especially for bulk operations and API integrations. - Define and lead data migration strategy — source analysis, field mapping, cleansing, and execution. - Conduct sprint demos, technical walkthroughs, and stakeholder reviews. - Participate in UAT — review defects, guide prioritization, and approve production readiness. - Create and maintain System Configuration Workbook and Admin handover documentation. - Provide technical leadership, mentorship, and direction to Developers and Admins. Qualifications - 12–15 years of overall Salesforce experience, with at least 5+ years as a Solution Architect / Technical Lead. - Salesforce Certified Technical Architect (CTA) (mandatory). - Certified Salesforce Application Architect and/or System Architect (preferred). - Deep expertise in Salesforce Sales Cloud: - Lead Management - Opportunity Pipeline - Account Lifecycle - Territory Management - Expert-level understanding of Salesforce security model (OWD, roles, sharing rules, permission sets, FLS). - Strong hands-on experience with Salesforce Flow (complex multi-step automation without Apex). - Extensive experience with Salesforce integrations: - REST APIs - Named Credentials - Connected Apps - OAuth 2.0 - Platform Events - Hands-on experience with DocuSign for Salesforce (AppExchange). - Experience designing ERP integrations such as NetSuite (data sync patterns, error handling). - Strong knowledge of Salesforce governor limits and bulk-safe design practices. - Proven experience leading data migration activities (Data Loader, deduplication, validation). - Strong track record of delivering Salesforce projects within tight timelines and Agile environments. - Excellent communication skills with the ability to explain complex architecture to non-technical stakeholders. Requirements - Immediate Joiners Only. Benefits - Remote position. - Timing: 5:30 PM to 2:30 AM IST.

Role Description We are seeking a Senior Backend Engineer with strong expertise in Python and FastAPI to design and scale a high-performance document-processing backend. The system will handle large, complex PDFs and support AI-driven classification workflows. Key Responsibilities - Design and develop backend services to reliably process large PDF documents (200+ pages) - Implement AI-driven document classification using taxonomy-based models with confidence scoring - Build and maintain document taxonomies for classification, grouping, and validation logic - Enable multi-page document assembly using taxonomy rules and page-level signals - Develop robust exception handling mechanisms (fallback flows, “needs review” pipelines) - Implement audit trails and data lineage, including taxonomy versioning and classification rationale - Optimize system performance to ensure scalability and cost-efficient AI inference - Support loan processing workflows by classifying and validating borrower documents (KYC, income proofs, bank statements, agreements, etc.) Qualifications - 4+ years of hands-on experience in Python development - Strong expertise in FastAPI for backend services - Experience with PDF processing libraries such as PyPDF2, pdf2image, or similar - Hands-on experience integrating LLM APIs (preferably GPT-4 Vision or similar) - Experience working with Google Cloud Platform (GCP): Cloud Storage, Firestore, Cloud Tasks - Strong understanding of asynchronous job processing (queues, workers, retry logic) - Error handling and fault tolerance - Data lineage and audit systems - Experience in document taxonomies / classification schemas - OCR or document processing systems - AI-driven workflows and structured labeling systems Preferred Qualifications - Background in financial services or compliance-driven environments - Experience with taxonomy versioning - Confidence thresholds - Rules-based validation systems