RAG Jobs

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our dynamic team. This role will be responsible for building and deploying cutting-edge AI solutions, leveraging a variety of technologies and methodologies. The ideal candidate will possess a strong foundation in software engineering principles and a passion for AI innovation. Key Responsibilities The AI Build Engineer will be responsible for the design, development, and implementation of AI applications. This includes collaborating with cross-functional teams to define requirements, designing and building robust and scalable AI solutions, and ensuring the quality and reliability of deployed AI models. The role also involves continuous monitoring and optimization of AI systems to ensure peak performance and alignment with business objectives. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages including Python , JavaScript , TypeScript , and C# . This includes the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval-Augmented Generation (RAG): Experience with RAG techniques to enhance the capabilities of LLMs . Prompt Engineering: Expertise in Prompt Engineering to design effective prompts for LLMs . Vector Databases: Familiarity with Vector Databases and their use in storing and retrieving vector embeddings. Agentic AI: Knowledge of Agentic AI principles and their application in building autonomous agents. Cloud Platforms: Experience with cloud platforms such as Azure and AWS , including Azure AI Services , Azure OpenAI , AWS Bedrock , and Vertex AI . Containerization & Orchestration: Proficiency in Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines using tools like GitHub Actions and Azure DevOps . MLOps: Understanding of MLOps principles and best practices for managing the ML lifecycle. AI Application Integration: Ability to integrate AI applications into existing systems and workflows. Testing & Monitoring: Experience with AI-infused testing , Monitoring , and Observability tools and techniques. Governance: Understanding of Governance principles related to AI systems. API & Microservices: Experience with API development and Microservices architectures. Additional Skills: Familiarity with MCP , Playwright , and AI copilots . Qualifications: Possession of AI/Cloud certifications such as Azure AI Engineer or AWS ML is highly desirable. Experience Required: We are seeking candidates with 5-10 years of relevant experience in software engineering and AI development. This level of experience should demonstrate a proven ability to design, build, and deploy complex AI solutions in a production environment. What We Offer The role is onsite .

AI Build Engineer (GenAI / Agentic AI / AI Automation)

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•Full-time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our growing team. This role will focus on the development and implementation of cutting-edge AI solutions, specifically within the realms of GenAI , Agentic AI , and AI Automation . The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging AI to solve complex business challenges. This position is located in Bengaluru, Chennai, or Hyderabad. Key Responsibilities The AI Build Engineer will be responsible for designing, building, and deploying AI -powered applications and systems. This includes collaborating with cross-functional teams to define requirements, developing robust and scalable solutions, and ensuring the ongoing performance and reliability of deployed systems. The role demands a proactive approach to problem-solving and a commitment to delivering high-quality AI solutions. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages is essential, including Python , JavaScript , TypeScript , and C# . Experience should demonstrate the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval Augmented Generation (RAG): Experience implementing RAG architectures to enhance LLM capabilities with external knowledge sources. Prompt Engineering: Expertise in crafting effective prompts to elicit desired responses from LLMs . Vector Databases: Familiarity with vector databases and their use in storing and querying vector embeddings. Agentic AI: Experience in developing and deploying Agentic AI systems, leveraging autonomous agents to perform complex tasks. Model Context Protocol (MCP): Understanding of MCP and its role in managing AI model context. Testing & Automation: Experience with Playwright and AI-infused testing solutions to ensure the quality and reliability of AI systems. Frameworks & Libraries: Proficiency in utilizing frameworks and libraries such as LangChain and LangGraph for building LLM -powered applications. Cloud Platforms: Experience with Azure OpenAI , AWS Bedrock , and Vertex AI for developing and deploying AI models. Containerization & Orchestration: Solid understanding of Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with GitHub Actions and Azure DevOps for implementing CI/CD pipelines. MLOps: Knowledge of MLOps principles and practices for managing the entire ML lifecycle. AI Copilots: Familiarity with AI copilots and their integration into development workflows. Autonomous Agents: Experience in designing and implementing autonomous agents for various tasks. API & Microservices: Experience designing and building APIs and microservices for AI applications. Infrastructure: Understanding of monitoring , observability , and governance best practices for AI systems. Security: Commitment to building secure and responsible AI solutions. Analytical & Problem-Solving Skills: Strong analytical skills and problem-solving skills to effectively troubleshoot and resolve issues. Communication Skills: Excellent communication skills to effectively collaborate with cross-functional teams. Experience Required: 5 - 10 years of experience in software engineering with a focus on AI development. This level of experience is expected to demonstrate a proven ability to design, build, and deploy complex AI systems. The candidate should be comfortable working independently and as part of a team, and possess a strong understanding of software development best practices. Qualifications: AI/Cloud certifications ( Azure AI Engineer , AWS ML , etc.) are preferred. What We Offer Salary:

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and motivated AI Build Engineer to join our growing team. This role will focus on building, deploying, and maintaining robust and scalable AI solutions. The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging cutting-edge AI technologies. Key Responsibilities The AI Build Engineer will be responsible for the following: Developing and implementing AI models and applications using various programming languages and frameworks. Building and maintaining robust CI/CD pipelines for automated testing, building, and deployment of AI models. Ensuring the quality and reliability of AI solutions through rigorous testing and monitoring . Collaborating with cross-functional teams to define, design, and ship new features. Implementing and maintaining governance policies for AI models. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Proficiency in programming languages including Python , JavaScript , TypeScript , and C# . Experience with large language models ( LLMs ) and related techniques such as RAG (Retrieval Augmented Generation) and Prompt Engineering . Solid understanding of vector databases and their application in AI systems. Familiarity with Agentic AI concepts and implementation. Experience with Model Context Protocol (MCP) . Experience with testing frameworks such as Playwright . Experience with frameworks such as LangChain and LangGraph . Experience with cloud-based AI services including Azure OpenAI , AWS Bedrock , and Azure AI Services , and Vertex AI . Strong experience with containerization technologies such as Docker and orchestration platforms like Kubernetes . Experience with version control systems such as GitHub Actions and Azure DevOps . Knowledge of MLOps principles and practices. Familiarity with AI copilots and Autonomous agents . Experience with AI-infused testing solutions . Understanding of API design and development. Experience building Microservices architectures. Strong Analytical Skills , Problem-Solving Skills , and Communication Skills . Experience Required: 5 - 10 years of experience in software engineering with a focus on AI/ML. This level of experience indicates a seasoned professional capable of independently designing, developing, and deploying complex AI solutions. The candidate should be comfortable working in a fast-paced environment and collaborating with a diverse team of engineers and researchers. What We Offer Salary:

Software Engineer

RLE India Private Limited•

Chennai

•Full-time

Software Engineer Job Description Job Summary We are seeking a skilled Software Engineer to join our team in Chennai. This is an onsite position within the IT / Technology industry. The ideal candidate will possess a strong analytical background and a proven ability to solve complex problems, with experience in Hyperion and related technologies. Key Responsibilities This role will involve a range of responsibilities related to Essbase and related systems, including but not limited to: Data Validation and Data Reconciliation to ensure data integrity. Month End Activities to support accurate financial reporting. Scenario Management , including opening and closing scenarios. User Acceptance Testing (UAT) to validate system functionality. Production Release Coordination to ensure smooth deployments. Application Migration activities to support system upgrades and transitions. Outline Management and Metadata Maintenance to ensure data accuracy and consistency. Essbase Backup and Essbase Recovery procedures to safeguard data. Essbase Optimization and Performance Tuning to maximize system efficiency. ETL processes to ensure data flows seamlessly. Testing and Development activities to support system enhancements. Required Skills & Qualifications Analytical Skills: Demonstrated ability to analyze complex data and identify trends and insights. Problem-Solving Skills: Proven ability to identify, analyze, and resolve technical issues effectively. Communication Skills: Excellent written and verbal communication skills to collaborate effectively with stakeholders. Technical Proficiency: Strong experience with Hyperion , including Essbase . Proficiency in Essbase Calculation Scripts and Essbase Maxl Commands . Experience with Essbase Partitions , including Transparent , Replicated , and Linked configurations. Familiarity with ASO and BSO architectures. Experience with Aggregate Storage and Block Storage . Proficiency in Essbase SmartView and Excel Add-in . Experience with LCM for Application Migration . Knowledge of Autosys for Job Maintenance , including Create Jobs , Update Jobs , and Delete Jobs . Experience with Encryption and Anonymization techniques. Financial Planning and Budgeting experience. Forecasting skills. End-User Support experience. Qualifications: A Bachelor's Degree is required. Experience Required: A minimum of 10 years of experience is expected, demonstrating a high level of seniority and expertise in the field. What We Offer Salary:

Platform Engineering Engineer D

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and motivated Platform Engineering Engineer D to join our growing IT / Technology team. This role will focus on building and maintaining robust and scalable platforms to support our evolving business needs. The ideal candidate will possess a strong foundation in cloud technologies, automation, and a commitment to delivering high-quality solutions. Key Responsibilities The specific responsibilities for this role will be determined based on the needs of the business and will evolve over time. We expect the successful candidate to be adaptable and willing to take on new challenges as they arise. Required Skills & Qualifications To be considered for this position, candidates must demonstrate proficiency in the following areas: Programming: Demonstrated experience with Python for scripting, automation, and application development. Infrastructure as Code: Expertise in TERRAFORM for defining and managing infrastructure through code, ensuring consistency and repeatability. Configuration Management: Strong understanding and practical experience with Ansible for automating configuration management and application deployment. Cloud Platforms: Proven ability to work with and deploy solutions on major cloud platforms including AWS , Azure , and GCP . Containerization & Orchestration: Solid experience with Kubernetes and Openshift for container orchestration and management. DevOps Practices: A deep understanding of DevOps principles and experience implementing CI/CD pipelines. Monitoring & Observability: Familiarity with monitoring and observability tools such as Dynatrace , Prometheus , and Grafana . Version Control: Proficiency in using GitHub for version control and collaborative development. Operating Systems: Strong working knowledge of Linux environments. Networking: Understanding of Network Protocols & Standards . Scripting: Ability to write and maintain effective Scripting solutions. Problem Solving: Exceptional Problem Solving skills with a demonstrated ability to diagnose and resolve complex technical issues. Technical Troubleshooting: Adept at Technical Troubleshoot and root cause analysis. Communication Skills: Excellent Communication Skills , both written and verbal, to effectively collaborate with cross-functional teams. Services: Experience managing and supporting Services . Cloud Infrastructure: Solid understanding of Cloud Infrastructure principles and best practices. Storage Capacity Management: Experience with Storage Capacity Management . VMware: Familiarity with VMware virtualization technologies. Tekton: Experience with Tekton for CI/CD. Education: A Bachelor's degree in Computer Science , Information Technology , or a related field is required. Experience: A minimum of 6 years of experience in a related engineering role is expected. This level of experience should demonstrate a proven ability to design, implement, and maintain complex systems in a fast-paced environment. What We Offer Salary:

Software Engineer (3) - Core Senior Engineer

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking three experienced Software Engineer (3) - Core Senior Engineer to join our team in Chennai. This is a hybrid role within the IT / Technology industry. Key Responsibilities This role will involve a range of responsibilities related to Hyperion and related systems, including administration, maintenance, and support. The successful candidate will be responsible for ensuring the stability and performance of our Essbase environment, supporting users, and participating in key activities such as month-end close and application migrations. Required Skills & Qualifications The ideal candidate will possess a strong skillset in the following areas: Hyperion and Essbase Expertise: Demonstrated proficiency in Hyperion and Essbase administration, including experience with EAS console , Aggregate Storage , ASO , and BSO . Essbase Scripting and Commands: Solid understanding of Essbase Calculation Scripts and Essbase Maxl commands . Essbase Architecture: Familiarity with Essbase Partitions , including Transparent , Replicated , and Linked configurations. Autosys Job Management: Experience with Autosys for job scheduling, including Create jobs , Update jobs , and Delete jobs . Essbase SmartView : Proficiency in using Essbase SmartView , including its Excel add-in capabilities. LCM Management : Experience with LCM Management for Essbase environments. Financial Planning & Analysis: Understanding of Budgeting , Forecasting , and Financial Planning processes. Data Integrity: Strong skills in Data Validation and Data Reconciliation . User Support: Ability to provide End-User Support and resolve issues effectively. Month-End Activities: Experience with Month end activities , including Scenarios open and Scenarios close . Testing & Release Support: Experience with User Acceptance Testing (UAT) and Support Production Release . Application Management: Experience with Application migration activity . Essbase Management: Proficiency in Outline Management , Metadata Maintenance , Essbase Backup , and Essbase Recovery . Performance Optimization: Skills in Essbase Optimization and Performance Tuning . Coding : Ability to write and debug Essbase related code. Analytical and Problem-Solving Skills: Strong Analytical Skills and Problem-Solving Skills . Communication Skills: Excellent Communication Skills for effective collaboration and communication with stakeholders. Experience Required: 10 + years of relevant experience. This level of experience indicates a senior-level role requiring a high degree of autonomy and expertise. The candidate should be able to work independently, mentor junior team members, and contribute to the strategic direction of the Essbase environment. What We Offer Salary:

Azure Cloud & Data ETL Developer

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a skilled and experienced Azure Cloud & Data ETL Developer to join our dynamic IT / Technology team. This is a hybrid role, offering a blend of remote work and in-office collaboration. The ideal candidate will possess a strong background in data engineering, cloud technologies, and ETL/ELT development, with a focus on the Azure ecosystem. Key Responsibilities The Azure Cloud & Data ETL Developer will be responsible for designing, developing, and maintaining robust and scalable data pipelines and solutions within the Azure cloud environment. This includes data ingestion, transformation, and loading processes, ensuring data quality, and adhering to data governance principles. The role also involves collaborating with cross-functional teams to understand data requirements and deliver effective solutions. Required Skills & Qualifications Azure Data Services: Demonstrated proficiency in utilizing various Azure data services, including Azure Data Factory (ADF) , Azure Databricks , and Azure Synapse Analytics , to build and manage data pipelines. ETL Development: Extensive experience in ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) development, including designing and implementing data integration solutions. Hybrid Data Architectures: A strong understanding of hybrid data architectures , enabling seamless data flow between on-premises and cloud environments. Cloud Migration: Experience in migrating data and applications to the Azure cloud platform. Data Engineering: Solid foundation in Data Engineering principles and practices. Data Modeling: Expertise in data modeling techniques, including the design and implementation of star schemas and snowflake schemas . Data Warehousing Concepts: A thorough understanding of data warehousing concepts and best practices. Programming Languages: Proficiency in Python and PySpark for data manipulation and processing. Data Ingestion & Integration: Experience with data ingestion and data integration processes, ensuring data accuracy and consistency. Data Quality & Governance: Knowledge of data quality and data governance principles and practices. DevOps & CI/CD: Experience with DevOps practices, including CI/CD (Continuous Integration/Continuous Delivery) pipelines, utilizing tools like Azure DevOps and GitHub Actions . Agile Methodology: Familiarity with Agile development methodologies. Performance Tuning & Indexing: Ability to perform performance tuning and indexing to optimize data query performance. Data Validation: Experience in implementing data validation processes to ensure data integrity. Azure Data Lake Storage (ADLS): Experience working with Azure Data Lake Storage (ADLS) . Communication Skills: Excellent communication skills , both written and verbal, to effectively collaborate with stakeholders. Problem-Solving Skills: Strong problem-solving skills to identify and resolve data-related issues. Gemini AI: Familiarity with Gemini AI and its applications in data processing. Experience Required: 6 - 10 years of relevant experience in data engineering and cloud development. This level of seniority requires a proven track record of designing and implementing complex data solutions, leading projects, and mentoring junior team members. What We Offer Salary: 18 LPA

Machining

SACHA Engineering•

Pune

•full time

Job Summary We are seeking a skilled Machining professional with 1-2 years of experience to join our team in the component manufacturing industry. As a Machining expert, you will play a crucial role in the design, development, and manufacturing of high-quality components. The ideal candidate will have a strong background in design and drafting, proficiency in SolidWorks and SolidEdge, and experience with reverse engineering and data storage. The successful candidate will be responsible for working on-site, utilizing their technical expertise to drive the machining process and contribute to the growth and success of our organization. With a strong foundation in mechanical engineering, the Machining professional will be able to interpret designs, optimize machining processes, and ensure the production of precise components. Key Responsibilities Utilize design and drafting skills to interpret and create designs for machining processes. Leverage SolidWorks and SolidEdge to design, model, and simulate components and machining processes. Apply reverse engineering techniques to analyze and recreate existing components or designs. Manage and maintain data storage systems to ensure efficient data retrieval and storage. Collaborate with the manufacturing team to optimize machining processes and ensure high-quality component production. Required Skills & Qualifications The ideal candidate will possess a strong foundation in the following skills and qualifications: Design and Drafting: Ability to create and interpret designs, drawings, and models for machining processes. SolidWorks and SolidEdge: Proficiency in using these software tools to design, model, and simulate components and machining processes. Reverse Engineering: Experience with analyzing and recreating existing components or designs. Data Storage: Knowledge of data storage systems and ability to manage and maintain them. BE Mechanic: A Bachelor's degree in Mechanical Engineering, demonstrating a strong understanding of mechanical principles and practices. What We Offer As a component manufacturing organization, we offer a dynamic and supportive work environment that fosters growth and development. While specific benefits are not detailed, our organization is committed to providing a workplace that values technical expertise and encourages professional advancement.