Jobs at TALPRO INDIA PRIVATE LIMITED

Conduct source code reviews across multiple programming languages, identify vulnerabilities, coding inefficiencies, and compliance issues, and prepare reports for stakeholders. Provide remediation guidance to developers and collaborate with application, QA, and security teams. The role requires application security expertise, secure coding knowledge, strong communication skills, independent execution, and an industry-recognized application security certification. This is an onsite position in Airoli, Mumbai, requiring immediate availability.

Conduct advanced penetration testing of web, mobile, and enterprise applications; assess and exploit vulnerabilities; document risks and remediation; create MIS reports and dashboards; present findings to executives and stakeholders; collaborate with technical teams on remediation; and provide secure coding guidance while staying current with attack vectors and security standards.

Build and manage AWS cloud-native and serverless applications, including Lambda, API Gateway, DynamoDB, SQS, ECS/EKS, and related services. Implement CI/CD pipelines and infrastructure as code using AWS CDK, Terraform, and CloudFormation. Support AI/ML workloads, model deployment, monitoring, and lifecycle management. Develop microservices and event-driven architectures, improve scalability and reliability, implement observability, troubleshoot infrastructure and ML pipelines, and follow cloud security and governance practices.

Lead the architecture and delivery of enterprise-grade generative and agentic AI solutions from proof of concept through production. Design systems involving orchestration, data, APIs, security, deployment, observability, scalability, and CI/CD. Build LLM applications using RAG, embeddings, vector search, prompt optimization, tool integrations, and multi-agent workflows. Integrate enterprise platforms, optimize reliability and cost, establish evaluation frameworks, troubleshoot performance issues, and mentor engineers while managing stakeholder collaboration.

Design, build, deploy, and operate production-grade generative and agentic AI systems. Develop LLM applications using RAG, embeddings, vector search, prompt optimization, tool integrations, and multi-agent workflows. Integrate AI with APIs, enterprise applications, and data platforms. Manage AI workloads on AWS, implement CI/CD and testing, ensure scalability and observability, monitor model performance, and support responsible AI governance. Collaborate with cross-functional teams, create reusable components, support Copilot-style solutions, and mentor junior engineers.

Develop responsive, scalable web applications using React, Next.js, TypeScript, HTML5, and CSS3. Translate UI/UX designs into reusable components, integrate REST APIs, optimize performance, ensure accessibility and cross-browser compatibility, resolve UI issues, and maintain code quality. Collaborate with backend, UX, and product teams in Agile environments, contribute to frontend architecture and standards, participate in code reviews and planning, and mentor junior developers. Immediate availability and in-person Mumbai interviews are required.

Develop, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG solutions using Python and AWS Bedrock. Build REST APIs and microservices with FastAPI or Flask, deploy scalable cloud infrastructure, manage containerized workloads, and develop data pipelines and ETL processes. Work with relational and NoSQL databases, CI/CD, and AWS services while collaborating with technical and product teams and documenting AI workflows.

Provide L3 support and platform engineering for the Domino Data Lab platform. Troubleshoot production incidents involving workspaces, models, jobs, connectivity, access, and performance; conduct root-cause analysis and implement permanent fixes. Manage upgrades, patching, monitoring, tuning, and reliability for enterprise data science and AI/ML workloads. Support Python and R environments, ML workflows, Kubernetes, Docker, AWS, SageMaker, and Azure Machine Learning integrations in regulated or life sciences environments.

Develop, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG systems using Python, AWS Bedrock, and major ML frameworks. Build scalable REST APIs and microservices with FastAPI or Flask, deploy containerized solutions on AWS, and manage CI/CD. Design databases and automated ETL pipelines, integrate cloud services, and document AI workflows while collaborating with cross-functional technical and product teams.