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Global Digital Transformation Solutions Provider
MUST-HAVES:
- LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
- Context & Knowledge Base Design.
- Context & Knowledge Base Design.
- Experience running LLM evals
NOTICE PERIOD: Immediate – 30 Days
SKILLS: LLM, AI, PROMPT ENGINEERING
NICE TO HAVES:
Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments
ROLE PROFICIENCY:
Role Scope / Deliverables:
- Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
- Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
- Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
- Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
- Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
- Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.
KEY DELIVERABLES:
- LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
- Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
- Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
- Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
- AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
- Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.
KEY SKILLS:
Technical & Analytical Skills:
- LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
- Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
- Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
- Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
- Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
- Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
- Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
- Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
- Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
- Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
- Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.
· Design, develop, and implement AI/ML models and algorithms.
· Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.
· Write clean, efficient, and well-documented code.
· Collaborate with data engineers to ensure data quality and availability for model training and evaluation.
· Work closely with senior team members to understand project requirements and contribute to technical solutions.
· Troubleshoot and debug AI/ML models and applications.
· Stay up-to-date with the latest advancements in AI/ML.
· Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.
· Develop and deploy AI solutions on Google Cloud Platform (GCP).
· Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.
· Utilize Vertex AI for model training, deployment, and management.
· Integrate and leverage Google Gemini for specific AI functionalities.
Qualifications:
· Bachelor’s degree in computer science, Artificial Intelligence, or a related field.
· 3+ years of experience in developing and implementing AI/ML models.
· Strong programming skills in Python.
· Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
· Good understanding of machine learning concepts and techniques.
· Ability to work independently and as part of a team.
· Strong problem-solving skills.
· Good communication skills.
· Experience with Google Cloud Platform (GCP) is preferred.
· Familiarity with Vertex AI is a plus.
About the Role:
We are seeking a skilled and enthusiastic React.js Web Developer to join our technology team. The ideal candidate will be responsible for building high-quality user interfaces, enhancing user experience, and developing efficient web applications.
Key Responsibilities:
1. Develop responsive, interactive, and high-performing web applications using React.js, JavaScript/TypeScript, and modern front-end libraries.
2. Translate UI/UX wireframes into high-quality code and reusable components.
3. Optimize components for maximum performance across various devices and browsers.
4. Work with the team to design, structure, and maintain scalable front-end application architecture.
5. Integrate REST APIs, third-party services, and internal tools into the application.
6. Manage application state using tools such as Redux, Context API, or other state management libraries.
7. Write clean, readable, and well-documented code following best industry practices.
8. Conduct thorough debugging, troubleshooting, and performance enhancements.
9. Assist in deployment processes and ensure the application works smoothly in production.
10. Familiarity with CI/CD pipelines is an added advantage.
11. Collaborate with the team on planning, development, and code reviews.
12. Stay updated with the latest technologies and development best practices.
Required Skills & Qualifications:
- Bachelors degree in Computer Science, IT, or related field (or equivalent experience).
- 2 - 3+ years of experience in React JS development.
- Strong proficiency in JavaScript (ES6+), HTML5, CSS3.
- Hands-on experience with React Hooks, Redux, Context API, and component-based architecture.
- Good understanding of REST APIs and asynchronous request handling.
- Experience with build tools like Webpack, Babel, Vite, etc.
- Familiarity with Git/GitHub and version control workflows.
- Knowledge of responsive design and cross-browser compatibility.
- Strong problem-solving and analytical abilities.
- Ability to work independently as well as in a team environment.
- Time management skills and ability to meet deadlines.
- A positive attitude and willingness to learn new technologies.
Why Join Us?
- Competitive Salary and Professional development opportunities and training.
- Opportunity to work with cutting-edge technologies in a fast-paced environment.
- A supportive environment that encourages learning and growth.
- Collaborative team culture focused on creativity and continuous improvement.
Role - Performance tester
Location – Hyderabad
Budget – only above 6.5 years (at least 5 years on load runner / strong in load runner) 6.5 to 10 years
Compensation - between 13 to 17 LPA
We need associates to be good in Load Runner both. Below is JD.
- Ability to work independently on project performance testing with minimal supervision.
- should have Performance Testing strong skills with working experience on API testing and Web Applications.
- Understanding of the requirements / architecture and NFR.
- Good experience in performance testing using MicroFocus – Performance Centre(Load Runner)
- Able to understand the complex architecture of the product developed in various technologies like java, springboot, PCF/AWS Cloud Technologies, etc..
- Hands-on experience of developing scripts, designing test scenarios, test execution, monitoring, analyzing results
- Participate in the development and reporting of test metrics; items such as test confidence and test coverage reports.
- Experience in setting up/designing load scenario for various tests like load test, endurance test, stress test, capacity measurements etc.
- Experience in profiling and monitoring tools like AppDynamics, Grafana, Kibana
- Monitor application logs to determine system behaviour. Address all technical issues;
- facilitate the resolution and necessary follow-up with Development and other cross- functional departments.
- Analyse the CPU Utilization, Memory usage, Garbage Collection, and DB Monitoring - Parameters and DB Reports to verify the performance of the applications
- Experience in Setting up Test Environments, Debugging Environment issues.
- Experience in Identifying H/W and S/W Needs for setting up Test Environment Knowledge of sound development practices with exposure to Agile development, release engineering and continuous integration is a plus.
As a Tech Lead at RaptorX.ai you will lead our development team through the planning, execution, and successful delivery of cutting-edge, scalable, and high-performance web applications. With your extensive experience in both front-end and back-end technologies, you will drive the architectural decisions, mentor junior developers, and ensure the technical excellence of our projects. Your role will be pivotal in fostering innovation, implementing best practices, and contributing to the strategic direction of our technology stack.
Key Responsibilities:
- Technical Leadership:
- Architect, design, and develop complex full-stack applications, ensuring robustness, scalability, and performance.
- Lead the technical planning and architecture discussions, making strategic decisions on technology stack, frameworks, and tools.
- Conduct code reviews, ensuring adherence to coding standards and best practices.
- Stay abreast of emerging technologies and trends, integrating them into projects to enhance innovation and efficiency.
- Project Management:
- Collaborate with project managers, business analysts, and stakeholders to define project scopes, goals, and deliverables.
- Create detailed project plans, timelines, and roadmaps, ensuring timely delivery and alignment with business objectives.
- Manage risk assessment and mitigation strategies throughout the project lifecycle.
- Team Leadership and Development:
- Mentor and coach developers, fostering a culture of continuous learning and improvement.
- Lead by example, promoting a collaborative team environment that encourages open communication and innovation.
- Facilitate knowledge sharing sessions and technical workshops to enhance team skills and expertise.
- Quality Assurance:
- Implement and oversee rigorous testing frameworks and methodologies to ensure the delivery of high-quality solutions.
- Collaborate with the QA team to define test strategies, review test plans, and ensure that applications meet functional and non-functional requirements.
- Stakeholder Engagement:
- Communicate effectively with stakeholders, translating technical concepts into business language and vice versa.
- Gather and analyze feedback from end-users and stakeholders to inform continuous improvement of applications.
- Participate in client meetings, presentations, and proposal development.
- Operational Excellence:
- Ensure the reliability, security, and maintainability of applications.
- Oversee the deployment and operation of applications, including performance monitoring and optimization.
- Implement best practices for source control, continuous integration, and continuous deployment.
Prior Experience and Skills Required:
- Minimum 10 years of experience in full-stack web development.
- Proven track record of leading development teams in delivering complex web applications.
- Expertise in front-end technologies (e.g., JavaScript, React.js, HTML5, CSS3) and back-end technologies (e.g., Node.js, Python, Java).
- Strong experience with database design and management (SQL and NoSQL).
- Proficiency in cloud technologies and services (AWS, Azure, GCP).
- Experience with containerization and orchestration technologies (Docker, Kubernetes).
- Familiarity with Agile methodologies and ability to adapt to changing priorities and deadlines.
- Excellent problem-solving, analytical, and technical troubleshooting skills.
Education:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
Language Skills:
- Strong command of Business English, both verbal and written.
Other Skills:
- Strong leadership and team management skills.
- Excellent communication and interpersonal skills.
- High level of personal accountability and responsibility.
- Ability to think strategically and execute tactically.
Salary:
- Competitive, based on experience and market standards.
Skills – Jboss, DevOps, ServiceNow, Windows Server.
JD - Application Maintenance -- Must have -- Installation and configuration of Custom/Standard Software e.g., FileZilla, JDK, OpenJDK Installation and configuration of JBOSS/Tomcat Server, Configuration of HTTPS certificate in JBOSS/Tomcat, Windows Event Viewer/IIS Log/ Windows Security /Active Directory, how to set Environment variable, Registry value, etc. Nice to Have --- Basics of Monitoring Knowledge of PowerShell, MS Azure Devops, Deploy and Configure application, how to check Last installed version of any software/patch, ServiceNow , ITIL , Incident Management , Change Management
Job role & responsibilities:
Full Stack Sr. Java Developer with competencies focused on :
- Experience in the Java 8 , Spring boot , Struct etc.
- Good Experience with AWS Cloud Platform and its related services.
- CI/CD deployments using GitLab and Docker Containers etc.
Here are few responsibilities on the job:
- Gather & analyse requirements , design, develop , test and perform root cause analysis.
- Actively participate in technical brainstorming session for solution building
- Provide technical guidance to team members if needed.
- Develop and Support Application Integration requirements etc.
- Participate in code reviews and design sessions etc.
Must Haves skillset : Java 8, Spring Boot , Microservices and AWS ; Should have worked with Offshore , mentor and coach them to deliver.
Secondary / Nice To Have : Java Structs Framework , Angular JS, Aurora
ETL Developer – Talend
Job Duties:
- ETL Developer is responsible for Design and Development of ETL Jobs which follow standards,
best practices and are maintainable, modular and reusable.
- Proficiency with Talend or Pentaho Data Integration / Kettle.
- ETL Developer will analyze and review complex object and data models and the metadata
repository in order to structure the processes and data for better management and efficient
access.
- Working on multiple projects, and delegating work to Junior Analysts to deliver projects on time.
- Training and mentoring Junior Analysts and building their proficiency in the ETL process.
- Preparing mapping document to extract, transform, and load data ensuring compatibility with
all tables and requirement specifications.
- Experience in ETL system design and development with Talend / Pentaho PDI is essential.
- Create quality rules in Talend.
- Tune Talend / Pentaho jobs for performance optimization.
- Write relational(sql) and multidimensional(mdx) database queries.
- Functional Knowledge of Talend Administration Center/ Pentaho data integrator, Job Servers &
Load balancing setup, and all its administrative functions.
- Develop, maintain, and enhance unit test suites to verify the accuracy of ETL processes,
dimensional data, OLAP cubes and various forms of BI content including reports, dashboards,
and analytical models.
- Exposure in Map Reduce components of Talend / Pentaho PDI.
- Comprehensive understanding and working knowledge in Data Warehouse loading, tuning, and
maintenance.
- Working knowledge of relational database theory and dimensional database models.
- Creating and deploying Talend / Pentaho custom components is an add-on advantage.
- Nice to have java knowledge.
Skills and Qualification:
- BE, B.Tech / MS Degree in Computer Science, Engineering or a related subject.
- Having an experience of 3+ years.
- Proficiency with Talend or Pentaho Data Integration / Kettle.
- Ability to work independently.
- Ability to handle a team.
- Good written and oral communication skills.


