Experience : 2 + Years experience Education : Bachelor’s/master’s degree Work Location : Chennai, India (Chennai/Remote/Hybrid) Roles and Responsibilities : Responsible for delivering technical solutions in a timely fashion meeting business requirement and following development standards. Includes technical analysis, technical documentation, design, development, testing, debugging, working with customer on objects related Oracle SFP Application. Required Skills (Must Have) : Good knowledge on OOPs concepts and has a background on programming language (java, groovy). Should have worked in OIC in building integration between multiple applications. Have experience working on BI publisher tools and SQL expertise. An understanding of Financial Aid processes. APPLY Close Drivestream’s Employee Benefits . Remuneration Drivestream offers competitive pay and attracts a diverse community of skilled individuals. We recognize the value of investing in our talent. Medical, Disability and Life Insurance We provide an array of coverage options including full medical, full dental and vision plans, employee life insurance, LTD and STD coverage, flexible spending account and employee accidental death and dismemberment Leave Benefits Drivestream’s generous paid leave programs feature vacation/paid time off (PTO), holiday leave and bereavement leave Professional Development Our training and development programs include traditional classroom training, online courses, including leadership, communication and project planning development, strategic planning and management programs, and professional society membership incentive Work/Life Programs Drivestream offers Work-Life Integration options that help individuals manage their personal and professional responsibilities. Options Include work from home and telecommuting, day care, flexible spending accounts, internal job transfer, and career mobility, and health and wellness programs Community Involvement Drivestream believes in supporting community and philanthropic activities that allow our employees to engage in outreach and educational programs. Awards Programs Drivestream recognizes and rewards our staff through various annual awards programs. Retirement Benefits Drivestream offers complete 401(k) plans and annual profit-sharing contribution.
Experience : 4+ Years experience Education : Bachelor’s/master’s degree Work Location : Chennai, India (Chennai/Remote/Hybrid) Roles and Responsibilities : Serve as a techno-functional expert for Oracle Fusion Payroll and Time & Labor modules. Configure, test, and support Payroll and Time & Labor business processes based on client requirements. Work on payroll elements, balances, fast formulas, and time entry rules. Perform technical development activities including HDL, HSDL, BIP Reports, OTBI, and fast formula writing. Manage inbound/outbound interfaces with third-party vendors or systems. Collaborate with HR, Payroll, and Technical teams for solution design and issue resolution. Support payroll parallel testing, year-end processes, and statutory compliance (India Payroll statutory knowledge preferred). Troubleshoot issues and provide timely resolutions, ensuring minimal business disruption. Document configurations, test cases, and business processes for end-user support and training. Required Skills (Must Have) : Minimum 4 years of hands-on experience in Oracle HCM Cloud with a focus on Payroll and Time & Labor modules. Strong understanding of Payroll processing, time calculation rules, absence integration, and retro-pay setup. Proficiency in Fast Formula, HCM Extracts, HDL/HSDL, and BI Publisher Reports. Ability to analyze and resolve complex technical and functional issues. Good knowledge of Payroll statutory compliances in India (PF, PT, ESIC, TDS, etc.) is an advantage. Excellent communication skills and stakeholder management abilities. Oracle Cloud Certification (preferred but not mandatory). Preferred Skills : Oracle Cloud HCM Certification in Payroll and/or Time & Labor. Experience working in an implementation, support, or upgrade project environment. APPLY Close Drivestream’s Employee Benefits . Remuneration Drivestream offers competitive pay and attracts a diverse community of skilled individuals. We recognize the value of investing in our talent. Medical, Disability and Life Insurance We provide an array of coverage options including full medical, full dental and vision plans, employee life insurance, LTD and STD coverage, flexible spending account and employee accidental death and dismemberment Leave Benefits Drivestream’s generous paid leave programs feature vacation/paid time off (PTO), holiday leave and bereavement leave Professional Development Our training and development programs include traditional classroom training, online courses, including leadership, communication and project planning development, strategic planning and management programs, and professional society membership incentive Work/Life Programs Drivestream offers Work-Life Integration options that help individuals manage their personal and professional responsibilities. Options Include work from home and telecommuting, day care, flexible spending accounts, internal job transfer, and career mobility, and health and wellness programs Community Involvement Drivestream believes in supporting community and philanthropic activities that allow our employees to engage in outreach and educational programs. Awards Programs Drivestream recognizes and rewards our staff through various annual awards programs. Retirement Benefits Drivestream offers complete 401(k) plans and annual profit-sharing contribution.
Experience : 5+ Years Experience Education : Bachelor’s/Master’s degree Work Location : Chennai, India (Chennai/Remote/Hybrid) Key Responsibilities : Design, develop, and maintain automated testing frameworks for Gen AI applications and agentic systems. Implement evaluation pipelines to measure and improve LLM reliability and response quality. Develop and operationalize hallucination and bias detection systems . Collaborate with LLM Engineers to integrate evaluation checkpoints into model deployment workflows. Define and manage evaluation datasets and metrics for automated quality reporting. Partner with Product and Governance teams to ensure responsible AI testing and validation practices . Continuously monitor and improve AI performance, reliability, and trust metrics . Required Technical Skills : Generative AI Quality Engineering Design automated testing frameworks for generative AI and multi-agent systems. Develop evaluation pipelines to assess LLM responses for accuracy, coherence, and factual grounding. Implement hallucination detection mechanisms using reference comparison, confidence scoring, or retrieval checks. Create reproducible test datasets and evaluation benchmarks for prompt-response validation. Automation Frameworks & Tools Develop and maintain Python-based QA frameworks integrated with CI/CD systems. Experience with testing tools such as pytest, LangSmith, DeepEval, or TruLens . Automate testing of API-driven AI systems, RAG pipelines, and multi-agent conversations . Implement regression, performance, and stress testing for large-scale AI applications. Evaluation Metrics & Analysis Define and compute LLM evaluation metrics (precision, recall, coherence, diversity, factual accuracy, toxicity). Build evaluation dashboards and reporting tools for continuous model monitoring. Analyze model drift, prompt sensitivity, and performance degradation over time. Model Safety & Reliability Develop and integrate toxicity, bias, and compliance detection checks into QA pipelines. Collaborate with security and governance teams to ensure AI safety and alignment standards . Implement guardrail testing and policy compliance frameworks for generative systems. Infrastructure & Integration Integrate QA pipelines into CI/CD workflows for LLM deployment pipelines. Experience with cloud-native tools (AWS, Azure, GCP, or OCI) for automated test execution. Implement test orchestration using Docker, Kubernetes , or serverless workflows . Familiarity with API mocking, synthetic test data generation, and version-controlled evaluation artifacts . Required Skills & Experience : 5+ years of experience in QA Automation, AI Testing, or ML Evaluation Engineering . Strong programming background in Python with experience in PyTest, FastAPI , or Playwright . Understanding of LLM architectures, prompt-response mechanics, and RAG systems . Experience with AI evaluation frameworks such as DeepEval, TruLens, or LangSmith . Familiarity with data validation, model observability , and pipeline testing . Proven ability to design automated evaluation frameworks for AI and ML models. APPLY Close Drivestream’s Employee Benefits . Remuneration Drivestream offers competitive pay and attracts a diverse community of skilled individuals. We recognize the value of investing in our talent. Medical, Disability and Life Insurance We provide an array of coverage options including full medical, full dental and vision plans, employee life insurance, LTD and STD coverage, flexible spending account and employee accidental death and dismemberment Leave Benefits Drivestream’s generous paid leave programs feature vacation/paid time off (PTO), holiday leave and bereavement leave Professional Development Our training and development programs include traditional classroom training, online courses, including leadership, communication and project planning development, strategic planning and management programs, and professional society membership incentive Work/Life Programs Drivestream offers Work-Life Integration options that help individuals manage their personal and professional responsibilities. Options Include work from home and telecommuting, day care, flexible spending accounts, internal job transfer, and career mobility, and health and wellness programs Community Involvement Drivestream believes in supporting community and philanthropic activities that allow our employees to engage in outreach and educational programs. Awards Programs Drivestream recognizes and rewards our staff through various annual awards programs. Retirement Benefits Drivestream offers complete 401(k) plans and annual profit-sharing contribution.
Experience : 5+ Years Experience Education : Bachelor’s/Master’s degree Work Location : Chennai, India (Chennai/Remote/Hybrid) Key Responsibilities : Architect multi-agent and orchestration frameworks to support diverse AI-driven workflows. Develop modular agent ecosystems that communicate, plan, and reason collaboratively. Implement retrieval and reasoning pipelines optimized for enterprise-scale workloads. Collaborate with Data Engineers and LLM Engineers to integrate model intelligence with institutional data layers. Define AI evaluation metrics and implement continuous improvement cycles for generative pipelines. Lead proof-of-concept projects demonstrating agentic orchestration for real-world use cases. Required Technical Skills : Agentic System Architecture Expertise in designing multi-agent orchestration using LangChain, LlamaIndex, AutoGen , or CrewAI . Deep understanding of agent communication, memory, and goal-directed planning . Ability to decompose complex workflows into agent tasks and coordination layers . Generative AI Development Hands-on experience building applications using OpenAI, Anthropic, Mistral , or local LLMs . Proficiency in prompt design, retrieval-augmented generation (RAG), and tool use orchestration . Familiarity with generation control techniques (chain-of-thought prompting, self-correction, context pruning). Knowledge & Retrieval Layer Expertise in RAG architecture, embedding optimization , and retrieval performance tuning . Experience with vector databases such as Pinecone, Milvus, Weaviate, FAISS , or Chroma . Integration experience with document loaders, retrievers, and knowledge graph interfaces . Workflow Orchestration & Integration Build end-to-end agentic pipelines integrating APIs, third-party services, and internal business logic. Implement tool orchestration , event-driven workflows, and async agent task handling. Experience with workflow engines (Temporal, Airflow, Prefect) for agent coordination. Evaluation & Optimization Design and apply AI evaluation frameworks for accuracy, context coherence, and safety. Apply reinforcement learning, feedback loops , and adaptive policy mechanisms to improve agent behavior. Optimize latency, token usage, and cost efficiency across LLM-driven workflows. Programming & Infrastructure Strong coding skills in Python and familiarity with TypeScript or Go for orchestration scripting. Experience with containerization (Docker, Kubernetes) and cloud AI infrastructure (AWS, Azure, GCP, or OCI) . Knowledge of model APIs, SDKs, and plugin architectures for integrating AI agents into enterprise systems. Required Skills & Experience : 5+ years of experience in AI/ML or software engineering , with at least 2 years focused on generative AI systems . Proven expertise in LLM orchestration frameworks and RAG-based architectures . Deep understanding of prompt optimization, context chaining, and retrieval pipelines . Experience building multi-agent systems or adaptive reasoning frameworks . Proficiency with LangChain, LlamaIndex , or CrewAI in production-grade environments. Solid foundation in API development, cloud integration, and orchestration patterns . APPLY Close Drivestream’s Employee Benefits . Remuneration Drivestream offers competitive pay and attracts a diverse community of skilled individuals. We recognize the value of investing in our talent. Medical, Disability and Life Insurance We provide an array of coverage options including full medical, full dental and vision plans, employee life insurance, LTD and STD coverage, flexible spending account and employee accidental death and dismemberment Leave Benefits Drivestream’s generous paid leave programs feature vacation/paid time off (PTO), holiday leave and bereavement leave Professional Development Our training and development programs include traditional classroom training, online courses, including leadership, communication and project planning development, strategic planning and management programs, and professional society membership incentive Work/Life Programs Drivestream offers Work-Life Integration options that help individuals manage their personal and professional responsibilities. Options Include work from home and telecommuting, day care, flexible spending accounts, internal job transfer, and career mobility, and health and wellness programs Community Involvement Drivestream believes in supporting community and philanthropic activities that allow our employees to engage in outreach and educational programs. Awards Programs Drivestream recognizes and rewards our staff through various annual awards programs. Retirement Benefits Drivestream offers complete 401(k) plans and annual profit-sharing contribution.
Experience : 5+ Years Experience Education : Bachelor’s/Master’s degree Work Location : Chennai, India (Chennai/Remote/Hybrid) Key Responsibilities : Design, build, and optimize RAG pipelines for enterprise AI applications. Develop automated prompt engineering frameworks using reinforcement and evaluation feedback loops. Fine-tune foundation models for domain-specific use cases, ensuring optimal accuracy and latency. Optimize token usage to reduce inference cost while maintaining semantic precision and relevance. Collaborate with AI Ops and MLOps teams to deploy optimized models into production environments. Continuously benchmark and improve model performance through data-driven evaluation methods. Maintain documentation of prompt, model, and dataset experiments for reproducibility and governance. Required Technical Skills : LLM Optimization & Performance Experience optimizing LLM inference performance across frameworks like vLLM, Hugging Face Transformers, or OpenAI APIs. Hands-on with quantization, pruning, distillation, and memory-efficient fine-tuning techniques (LoRA, QLoRA, PEFT). Knowledge of model evaluation frameworks (HELM, EvalHarness, DeepEval) for performance benchmarking. RAG Architecture & Tuning Expertise in building Retrieval-Augmented Generation (RAG) pipelines using LangChain or LlamaIndex. Experience with vector databases such as Pinecone, Milvus, FAISS, or Weaviate. Ability to fine-tune retrieval embeddings, chunking strategies, and ranking optimization for contextual relevance. Prompt Engineering & Automation Design, test, and optimize dynamic prompt templates for complex reasoning and domain-specific tasks. Develop automated prompt tuning pipelines using AI-assisted evaluation and reinforcement feedback. Implement prompt caching and adaptive prompt selection strategies to enhance inference performance. Fine-Tuning & Adaptation Implement supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and domain adaptation methods. Use fine-tuning frameworks like Hugging Face Trainer, PEFT, or DeepSpeed. Manage model versioning, dataset curation, and experiment tracking using MLflow or Weights & Biases. Token Usage & Cost Optimization Analyze and optimize token utilization through summarization, instruction compression, and dynamic truncation strategies. Implement intelligent token budgeting and API cost monitoring systems. Leverage AI-based analytics tools to optimize inference efficiency and output quality. AI Infrastructure & Tooling Familiarity with cloud-based AI infrastructure (AWS, Azure, GCP, or OCI) for large-scale model operations. Experience with containerization, GPU orchestration, and deployment automation pipelines. Proficiency with Python, PyTorch, TensorFlow, and modern LLM SDKs. Required Skills & Experience : 5+ years of experience in AI/ML or NLP engineering roles. Strong understanding of transformer architectures and attention mechanisms. Hands-on experience with LLM fine-tuning and inference optimization. Proficiency in building and deploying RAG systems in production environments. Experience with vector databases, embeddings, and retrieval frameworks. Proficient in Python and modern deep learning libraries such as PyTorch or TensorFlow. Familiarity with model evaluation, cost analysis, and performance profiling tools. APPLY Close Drivestream’s Employee Benefits . Remuneration Drivestream offers competitive pay and attracts a diverse community of skilled individuals. We recognize the value of investing in our talent. Medical, Disability and Life Insurance We provide an array of coverage options including full medical, full dental and vision plans, employee life insurance, LTD and STD coverage, flexible spending account and employee accidental death and dismemberment Leave Benefits Drivestream’s generous paid leave programs feature vacation/paid time off (PTO), holiday leave and bereavement leave Professional Development Our training and development programs include traditional classroom training, online courses, including leadership, communication and project planning development, strategic planning and management programs, and professional society membership incentive Work/Life Programs Drivestream offers Work-Life Integration options that help individuals manage their personal and professional responsibilities. Options Include work from home and telecommuting, day care, flexible spending accounts, internal job transfer, and career mobility, and health and wellness programs Community Involvement Drivestream believes in supporting community and philanthropic activities that allow our employees to engage in outreach and educational programs. Awards Programs Drivestream recognizes and rewards our staff through various annual awards programs. Retirement Benefits Drivestream offers complete 401(k) plans and annual profit-sharing contribution.
Experience : 5+ Years Experience Education : Bachelor’s/Master’s degree Work Location : Chennai, India (Chennai/Remote/Hybrid) Key Responsibilities : Build and maintain a centralized Agent Library for reusable components, prompts, and integration adapters. Develop agent frameworks and orchestration logic for multi-agent collaboration scenarios. Design integration connectors to institutional systems like ERP, SIS, CRM, or document repositories. Collaborate with LLM Engineers to improve agent reasoning, memory, and retrieval accuracy. Define agent governance frameworks , telemetry, and safety monitoring mechanisms. Implement agentic testing frameworks to ensure consistency, explainability, and reliability. Continuously benchmark and optimize agent workflows for latency, accuracy, and contextual relevance. Required Technical Skills : Agent Frameworks & Architecture Expertise in designing and implementing autonomous or semi-autonomous AI agents using frameworks like LangChain, AutoGen, CrewAI , or Semantic Kernel . Experience with multi-agent systems, memory management , and tool orchestration . Strong understanding of agent life cycle design , task delegation, and context management. Reusable Agent Components Develop modular agent templates, skills , and toolkits that can be easily configured for multiple workflows. Build and maintain an enterprise Agent Library with metadata tagging, versioning, and documentation. Create reusable connectors for integrating agents with APIs, databases, and business systems. Integration & Orchestration Design workflow orchestration patterns integrating agents with enterprise platforms (ERP, CRM, LMS, or HR systems). Implement event-driven architectures using message queues, APIs, or webhook triggers. Collaborate with DevOps/MLOps to enable continuous deployment and scaling of AI agents. LLM & Context Management Integrate LLMs (OpenAI, Anthropic, Mistral, or local models) into agent reasoning pipelines. Manage context caching, vector retrieval, and memory stores for long-term agent context retention. Optimize prompt construction, chaining logic , and tool selection for efficient reasoning. Governance, Security & Observability Implement guardrails, policy-based control , and access-level governance for enterprise AI agents. Set up agent telemetry and logging using observability tools (Prometheus, OpenTelemetry, Datadog, or Grafana). Ensure agents comply with data security, compliance, and auditability standards. Programming & Infrastructure Strong development skills in Python, TypeScript , or Go , with emphasis on modular, testable design. Familiarity with containerization (Docker, Kubernetes) and cloud environments (AWS, Azure, GCP, or OCI) . Experience with API design, GraphQL , and asynchronous event-driven programming . Required Skills & Experience : 5+ years of experience in AI/ML application development or enterprise integration engineering . Proven experience in agent framework development or LLM orchestration systems . Deep understanding of API-driven architectures, event streaming , and data integration . Hands-on experience with LangChain, AutoGen, CrewAI , or similar frameworks. Strong coding and automation skills with a focus on reusability and scalability . Experience in testing, evaluating, and deploying AI-driven workflows in enterprise environments. APPLY Close Drivestream’s Employee Benefits . Remuneration Drivestream offers competitive pay and attracts a diverse community of skilled individuals. We recognize the value of investing in our talent. Medical, Disability and Life Insurance We provide an array of coverage options including full medical, full dental and vision plans, employee life insurance, LTD and STD coverage, flexible spending account and employee accidental death and dismemberment Leave Benefits Drivestream’s generous paid leave programs feature vacation/paid time off (PTO), holiday leave and bereavement leave Professional Development Our training and development programs include traditional classroom training, online courses, including leadership, communication and project planning development, strategic planning and management programs, and professional society membership incentive Work/Life Programs Drivestream offers Work-Life Integration options that help individuals manage their personal and professional responsibilities. Options Include work from home and telecommuting, day care, flexible spending accounts, internal job transfer, and career mobility, and health and wellness programs Community Involvement Drivestream believes in supporting community and philanthropic activities that allow our employees to engage in outreach and educational programs. Awards Programs Drivestream recognizes and rewards our staff through various annual awards programs. Retirement Benefits Drivestream offers complete 401(k) plans and annual profit-sharing contribution.
Experience : 5+ Years Experience Education : Bachelor’s/Master’s degree Work Location : Chennai, India (Chennai/Remote/Hybrid) Key Responsibilities : Deploy, scale, and maintain LLM models on OCI OKE clusters with GPU acceleration. Automate model deployment pipelines integrated with OCI DevOps and Terraform. Ensure high availability and disaster recovery using OCI region/AD-based deployment architectures. Implement cost and resource optimization across OCI Compute and Storage resources. Develop observability dashboards using OCI Monitoring and APM for LLM inference pipelines. Collaborate with Data Scientists to operationalize and monitor model performance in OCI environments. Maintain governance, compliance, and OCI security best practices for AI infrastructure. Required Technical Skills : OCI Infrastructure & Orchestration Strong experience managing AI workloads on Oracle Kubernetes Engine (OKE). Proficiency in OCI Compute, OCI Block Volumes, and OCI Object Storage for AI data pipelines. Experience with OCI Networking, Load Balancers, and Service Gateway for secure AI deployments. Expertise in OCI Resource Manager (Terraform on OCI) for infrastructure-as-code deployments. Model Deployment & CI/CD Pipelines Build and automate model deployment pipelines using OCI DevOps, or MLflow. Deploy and manage model inference using OCI Data Science, Triton, or vLLM on GPU-enabled OKE clusters. Integrate OCI Functions for serverless orchestration and model triggering workflows. Monitoring & Observability Implement observability using OCI Monitoring, Logging, and Application Performance Monitoring (APM). Track AI-specific metrics for latency, token usage, drift detection, and GPU performance. Cloud Resource Optimization: Leverage OCI Cost Analysis and Budget tools for AI resource optimization. Implement GPU auto-scaling and OCI Autoscaling policies for high-performance LLM workloads. Monitor compute and network usage with OCI Observability and Management services. Data & Model Governance Use OCI Data Catalog and Object Storage lifecycle management for model lineage and governance. Ensure compliance and data protection using OCI Vault for key and secret management. Implement IAM policies and compartment-level security for multi-tenant LLM workloads. DevOps/MLOps Foundation CI/CD automation using OCI DevOps or GitHub Actions integrated with OCI pipelines. Container security, vulnerability scanning, and image signing using OCI Registry (OCIR). Strong proficiency in Python, Bash, Terraform, and YAML scripting. Required Skills & Experience : 10+ years’ experience in DevOps, MLOps, or Cloud Infrastructure engineering roles. Hands-on experience managing Kubernetes clusters and GPU workloads on OCI or other major clouds. Strong understanding of OCI core services including OKE, Compute, Networking, and Storage. Experience in AI/ML pipeline deployment using OCI Data Science and OCI DevOps. Proficiency in Terraform for OCI automation and environment provisioning. Deep understanding of cloud-native architectures and observability patterns. APPLY Close Drivestream’s Employee Benefits . Remuneration Drivestream offers competitive pay and attracts a diverse community of skilled individuals. We recognize the value of investing in our talent. Medical, Disability and Life Insurance We provide an array of coverage options including full medical, full dental and vision plans, employee life insurance, LTD and STD coverage, flexible spending account and employee accidental death and dismemberment Leave Benefits Drivestream’s generous paid leave programs feature vacation/paid time off (PTO), holiday leave and bereavement leave Professional Development Our training and development programs include traditional classroom training, online courses, including leadership, communication and project planning development, strategic planning and management programs, and professional society membership incentive Work/Life Programs Drivestream offers Work-Life Integration options that help individuals manage their personal and professional responsibilities. Options Include work from home and telecommuting, day care, flexible spending accounts, internal job transfer, and career mobility, and health and wellness programs Community Involvement Drivestream believes in supporting community and philanthropic activities that allow our employees to engage in outreach and educational programs. Awards Programs Drivestream recognizes and rewards our staff through various annual awards programs. Retirement Benefits Drivestream offers complete 401(k) plans and annual profit-sharing contribution.