Secure Jobs in Chennai

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:

Software Engineer (3) - Core Senior Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Software Engineer to join our core team. This is a senior-level role requiring a deep understanding of software development principles and a proven ability to design, develop, and deploy scalable and reliable applications. The ideal candidate will possess a strong background in cloud technologies and a passion for building innovative solutions. Key Responsibilities This role will be responsible for the full software development lifecycle, from design and implementation to testing and deployment. The candidate will collaborate with cross-functional teams to deliver high-quality software solutions that meet business requirements. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: A minimum of 10 years of experience in software engineering is required. This level of experience indicates a seasoned professional capable of leading technical initiatives and mentoring junior engineers. Programming Languages: Proficiency in Java is essential. Frameworks & Technologies: Demonstrated experience with Spring Boot for building robust and scalable applications. Cloud Computing: Extensive experience with GCP (Google Cloud Platform), including Cloud Run for containerized application deployment. Containerization & Orchestration: Strong understanding of containerization technologies such as Docker and orchestration platforms like Kubernetes , GKE , and OpenShift . Experience with Helm for managing Kubernetes deployments is also required. CI/CD & DevOps: Solid experience with CI/CD pipelines, including tools like Tekton , Argo CD , and GitHub Actions . Familiarity with GitOps principles is a plus. Frontend Development: Experience with Angular for building modern user interfaces. API Development: Proven ability to design and implement REST APIs and Microservices architectures. Integration Patterns: Knowledge of Enterprise Integration Patterns for building loosely coupled and scalable systems. Data Management: Experience with relational databases such as AlloyDB and Cloud SQL for PostgreSQL . Cloud Security: Strong understanding of cloud security principles, including IAM , Service Accounts , Workload Identity Federation , Secret Manager , External Secrets , and Least-Privilege Access Controls . Container Security: Experience with Artifact Registry , Container Security , Binary Authorization , and Vulnerability Scanning . Deployment & Monitoring: Proficiency in Secure Deployment Practices , Cloud Logging , Cloud Monitoring , Prometheus , and Dynatrace/Grafana . Operational Skills: Ability to perform Root-Cause Analysis and implement effective Alerting systems. Infrastructure as Code: Experience with Terraform for managing infrastructure as code. Analytical Skills: Strong Analytical Skills for problem-solving and decision-making. Problem-Solving Skills: Excellent Problem-Solving Skills to identify and resolve complex technical challenges. Communication Skills: Effective Communication Skills for collaborating with cross-functional teams and communicating technical concepts clearly. Networking: Understanding of Application Ingress/Egress , Load Balancing , API Routing , Shared VPC , Private Service Connect , Firewall Rules , and DNS . Connectivity: Experience with Private Connectivity and Cross-Project Communication .

Cyber Security Software Engineer

RLE India Private Limited•

Bengaluru

•full time

Job Summary We are seeking a skilled and motivated Cyber Security Software Engineer to join our team in Bangalore. This role will focus on developing and implementing robust security solutions within our Automotive Embedded Systems . The ideal candidate will possess a strong understanding of cybersecurity principles and a proven ability to design and implement secure software solutions. Key Responsibilities The Cyber Security Software Engineer will be responsible for the following: Designing and implementing secure software solutions for Automotive Embedded Systems . Conducting Threat Analysis to identify potential vulnerabilities and risks. Developing Secure Architecture Designs that incorporate industry best practices. Performing Platform-level Debugging to identify and resolve security-related issues. Implementing Secure Boot mechanisms to ensure the integrity of the system. Developing and implementing Secure Time Validation and Time Tampering Detection mechanisms. Integrating and utilizing Cryptographic Services to protect sensitive data. Working with Trusted Execution Environments to isolate and protect critical code. Developing and maintaining Security Middleware and Security Services . Managing Key Management processes to ensure the confidentiality and integrity of cryptographic keys. Utilizing Trusted Time Sources to ensure accurate and reliable timekeeping. Performing System Hardening to reduce the attack surface of the system. Developing and implementing Security Controls to mitigate identified risks. Ensuring compliance with relevant Automotive Standards . Conducting Penetration Testing to identify vulnerabilities. Ensuring Cybersecurity Compliance with industry regulations. Performing Unit Testing , Integration Testing , and Security Testing to ensure the quality and security of the software. Required Skills & Qualifications The ideal candidate will possess the following skills and qualifications: Strong understanding of Cyber Security principles and best practices. Proficiency in programming languages including C and C++ . Experience with Android and QNX operating systems. Experience with Secure Time/RTC Manager and Timezone management. Knowledge of Real-Time Clock (RTC) and Timezone Management concepts. Experience with Automotive Embedded Systems development. Proven ability in Embedded Software Development . Ability to perform Threat Analysis and identify potential vulnerabilities. Experience in designing Secure Architecture . Proficiency in Platform-level Debugging techniques. Knowledge of Secure Boot mechanisms. Understanding of Secure Time Validation and Time Tampering Detection . Experience with Cryptographic Services and Trusted Execution Environments . Familiarity with Security Middleware and Security Services . Knowledge of Key Management principles. Understanding of Trusted Time Sources . Experience with System Hardening techniques. Familiarity with Platform-level Services . Knowledge of Secure Time and RTC Synchronization . Understanding of Security Controls . Familiarity with Automotive Standards . Experience with Penetration Testing methodologies. Knowledge of Cybersecurity Compliance requirements. Experience with Unit Testing , Integration Testing , and Security Testing . Experience Required: 6 - 8 years of relevant experience. This level of experience indicates a seasoned professional capable of independently designing, developing, and implementing complex security solutions within an embedded systems environment. The candidate should be able to mentor junior engineers and contribute to the overall security posture of the organization. What We Offer Salary: