Responsibilities Assist in developing and testing Python-based AI modules. Support the integration of LLM APIs into internal and client-facing applications. Help build and organize data for vector databases and embedding pipelines. Experiment with prompt engineering to improve AI response quality. Contribute to the development of document chunking and preprocessing workflows. Assist in monitoring AI system performance and identifying areas for improvement. Participate in team meetings and contribute to brainstorming AI solutions.Qualification & Experience Final year students or recent graduates in CS/IT or related streams.Currently pursuing or recently completed a degree in Computer Science, IT, or Engineering. Academic projects involving Python, Data Science, or AI are highly preferred. Strong foundational knowledge of Python programming. Basic understanding of LLMs (OpenAI, Claude) and how they work. Familiarity with Git for version control. Strong interest in RAG architecture and Vector databases. Analytical mindset with a proactive approach to problem-solving. Excellent communication and willingness to learn new technologies quickly.

Responsibilities Lead the architecture and design of AI/ML-powered solutions across multiple domains: NLP, Computer Vision, Predictive Analytics, and Generative AI. Collaborate with stakeholders to define AI-driven strategies aligned with business goals. Select appropriate models, frameworks, and platforms (TensorFlow, PyTorch, OpenAI, Azure AI, etc.). Design end-to-end AI workflows: data pipelines, model training, evaluation, deployment, and monitoring. Provide technical leadership and mentorship to AI developers, engineers, and data scientists. Ensure model performance, scalability, and maintainability through best practices. Integrate AI systems with APIs, microservices, and cloud infrastructure. Promote ethical and responsible AI use, including bias detection and governance. Qualification & Experience B.E./B.Tech/M.Tech in Computer Science, Data Science, or related field. Certifications in AI/ML architecture or cloud AI (AWS, Azure, GCP) preferred. Proven experience in designing and deploying AI/ML solutions at scale.Deep understanding of ML lifecycle, model evaluation, and feature engineering. Hands-on expertise with ML frameworks (TensorFlow, PyTorch, Scikit-learn). Knowledge of Generative AI, LLMs, LangChain, RAG, and vector databases. Strong experience with cloud AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI). Data engineering and pipeline skills (Airflow, Spark, Kafka). Strong system architecture and integration experience (REST APIs, microservices, Docker, Kubernetes). Excellent communication and stakeholder management skills. Prior experience as ML/AI Lead or Senior Data Scientist.Knowledge of enterprise data governance and compliance. Industry expertise in retail, fintech, healthcare, or other AI-intensive sectors.2-3 Years (with at least 1 year in AI/ML solution architecture),

Responsibilities Design, develop, and maintain RAG-based chatbot systems and AI agents. Integrate Large Language Models (OpenAI, Claude, open-source LLMs) into production applications. Build and manage vector databases (Pinecone, Weaviate, Milvus, etc.) for semantic search and retrieval. Develop robust document ingestion, chunking, embedding, and retrieval pipelines. Optimize prompt engineering strategies and overall model performance. Improve response accuracy, latency, and reliability of AI systems through continuous evaluation. Deploy and monitor AI services in production environments using Docker and Cloud platforms. Collaborate with product and leadership teams to translate complex business needs into technical AI solutions. Maintain and iterate upon existing chatbot architectures to ensure scalability.Qualification & Experience Bachelor's or Master's degree in Computer Science, Information Technology, or a related technical field.Relevant certifications in AI/ML or Cloud Computing will be an added advantage.Core Skills: Strong proficiency in Python and experience with RAG architecture & pipelines. AI Expertise: Deep understanding of Embeddings, chunking strategies, and Prompt Engineering. System Design: Ability to design scalable RAG systems and manage cost/token optimization. Backend: Experience with FastAPI or Flask for REST API development. DevOps: Basic knowledge of Docker, CI/CD, and Cloud infrastructure (AWS/GCP/Azure). Data: Familiarity with SQL/NoSQL databases and data preprocessing techniques. Nice to Have: Experience with LangChain or LlamaIndex, fine-tuning basics, and AI security awareness.2 Years (Generative AI & RAG),

ResponsibilitiesOwn test planning and execution across web UI, APIs, and data pipelines; define clear entry/exit criteria and risk-based prioritization. Author and maintain manual and automated test cases (regression, smoke, sanity, compatibility).Build reliable automation for API/UI/e2e flows (e.g., Postman/Newman, PyTest/Requests, Selenium).Test data-intensive features: algorithm (ML-based and physics-based), validate ETL/ELT jobs, time-series accuracy, idempotency, and data quality (DQ) checks.Perform production-aware testing: canary/blue-green validation, feature-flag rollouts, log-based verification, and SLO-driven checks.Conduct non-functional testing (performance with k6/JMeter; reliability; basic security checks) and coordinate with DevOps on environment parity.Create/maintain test documentation: test plans, traceability matrices, runbooks, RCA reports, and release sign-offs.Drive defect lifecycle end-to-end: triage, prioritization, clear reproduction steps, and verification of fixes.Track and report quality metrics (coverage, MTTR for bugs, escaped defects) to improve release disciplineQualification & Experience2+ years of proven testing experience in production or production-like environments for web/SaaS platforms. Strong fundamentals of software testing: test design techniques, boundary/edge cases, and risk-based testing. Hands-on with API testing (Postman or PyTest/Requests) and UI/e2e tools (Selenium). Comfortable writing testing utilities/scripts in Java/JavaScript/TypeScript or Python. SQL and MongoDB proficiency for data validation; familiarity with logs/metrics/traces (e.g., CloudWatch/Grafana/ELK). Excellent command and proven experience with CI/CD (GitHub Actions/Jenkins), Git workflows, and defect/test management tools (Jira/TestRail or equivalents). Strong aptitude to test and validate Algorithms and their logic control. Excellent documentation and communication skills; bias for clarity and prevention.Performance testing (k6/JMeter), contract testing (Pact), and basic security testing (OWASP Top 10 awareness). Exposure to microservices, message queues, and event-driven architectures. Knowledge/exposure of AI testing and benchmarking techniques and willingness to learn test AI modules and LLM-based agents. Domain knowledge in energy/IoT, hardware-in-loop testing, or time-series data validation.

ResponsibilitiesWork in an agile environment completing User Stories authored by professional Product Managers. Along with high-fidelity comps and annotations by a team of in-house Designers Collaborate on implementations with .NET team members (in addition to other Frontend Engineers) through projects in React applications Work with QA and Application Support teams to triage bugs Work with DevOps to automate the build, deployment and distribution of SPAs and static assets Consume Restful APIs, JSON payloads, and various payload contexts Build new Portals/Applications with React, while making incremental enhancements to monolithic legacy applications (server-side rendered) Write Unit tests and documentation. Qualification & Experience0-1 years professional experience as an individual contributor. Prior experience working with organized development teams Either SME on React & ES6 or pixel-perfect HTML/CSS/JS w/UX, or both! Experience with JavaScript ES6+, Typescript, SCSS Understand branching, merging, pull requests and conflict resolution in Git (Bitbucket or GitHub) Experience in Unit testing (jest)

Responsibilities Design the overall solution architecture of various cloud-based services and functionalities. Design, develop, and maintain databases to meet the functional and business requirements. Conceptualize and develop data intensive/intelligent compute services in a scalable, and secure manner while meeting the cost-effectiveness targets. Design, develop, and manage data pipelines and processing infrastructure. Design and develop end-to-end full-stack functionalities and features. Design infrastructure to meet the requirement of various services (related to Ensure the platform is designed and developed in a cyber security compliant manner. Lead initiatives on platform integration with third party systems, migration, and lead on-prem design and development. Collaborate with the rest of the teams to design and launch additional/new features and services Develop and maintain the source codes and algorithms. Take ownership to incorporate customer feedback/release service updates. Maintain proper documentation at each level of the development and operation Qualification & Experience Strong command over the DevOps ecosystem (Configuring CI/CD pipelines, hosting and configuring microservices with Docker and Kubernetes, etc.). Experience with developing & maintaining scalable cloud platforms/solutions/Applications on AWS/Azure in a high-growth environment. Highly skilled with full-stack programming languages/frame. (MERN stack) with proven records. A comprehensive understanding of cyber-security and proven experience in designing/developing cyber security compliant platforms/software solutions. Extensive experience with databases (structured, unstructured files, etc., including big data) design, management, optimization, and integration. Excellent working knowledge of designing and maintaining scalable, cost-effective, and secure data-intensive compute services and data pipelines. Strong understanding of designing optimum solution architectures and developing associated backend services/infrastructure - databases, load balancing, autoscaling, microservice, optimization, and implementing system observability, etc. Excellent working knowledge of microservices frameworks. Experience in frontend and UI development. A total of 5+ years of dedicated/full-time software engineering experience with a minimum of 3 years of experience in scalable/secure backend infrastructure design/development/optimization and 2-3 years of dedicated experience in developing excellent frontend elements or functionalities. Willingness to work in a fast-paced start-up environment with cross-functional dynamic teams. Strong technical and solution documentation skills - someone who understands the criticality of the solution and source-code documentation. 

ResponsibilitiesDesign and develop full-stack features from spec to production (UI, API, data models, tests, and observability). Build responsive, accessible UIs and dashboards for time-series analytics, excellent visualization, alerts, and workflows. Design and implement secure, and scalable services and REST/GraphQL APIs and maintain their documentation. Model and optimize databases (SQL/NoSQL/time-series) for performance and cost. Maintain CI/CD pipelines, basic infra configs, and deployment hygiene (feature flags, rollbacks, metrics) Write unit/integration/e2e tests; contribute to code reviews, documentation, and engineering standards. Collaborate with product & DS teams to translate user needs into robust, scalable solutions.Qualification & ExperienceStrong with JavaScript/TypeScript and modern React (hooks), plus Node.js (Express). Experience with one or more: React.Js, Next.js, Redux/Zustand, TanStack Query. Data-viz (e.g., D3, Plotly, ECharts), time-series stores (Timescale/Influx/Timestream), and messaging/streaming (Kafka/SQS). Backend fundamentals: API design, auth (JWT/OAuth), caching, rate-limiting, pagination, error handling, etc. Databases: solid SQL (PostgreSQL/MySQL) and NoSQL (MongoDB and Redis); excellent command over schema design strategies, and query optimization. Excellent knowledge of Docker, CI/CD (GitHub Actions/Jenkins) and cloud (AWS/Azure). Testing in practice: Must have written unit/integration/e2e tests. Jest/Playwright/Cypress (or similar), and comfort with API & e2e test automation. Proven experience of developing scalable, responsive, and highly intuitive UIs and dashboards for time-series analytics, insights visualization, reporting functionalities, and other user workflows. Demonstrate excellent front-end capabilities. Strong ownership, documentation discipline, and product mindset. Must have contributed to code reviews, documentation, and engineering standards. 3+ years of proven experience in developing production grade full-stack applications using the MERN stack. Experience with microservices, event-driven patterns, and observability (OpenTelemetry/Prometheus/Grafana).Domain exposure to energy/IoT, ML/LLM integration, or geospatial/meteorological datasets.

ResponsibilitiesDesign, deploy, and operate PostgreSQL platforms optimized for microservices running on Kubernetes, ensuring scalability, isolation, and resilience Architect and manage Azure PostgreSQL Flexible Server and Hyperscale (Citus) for high availability, disaster recovery, and global scale Define database design patterns for microservices, including database-per-service, shared services, read replicas, and event-driven data flows Partner with engineering teams to ensure PostgreSQL supports CI/CD pipelines, rolling deployments, and zero-downtime releases Lead performance tuning and capacity planning across compute, storage, IOPS, memory, and network layers Troubleshoot advanced PostgreSQL internals including autovacuum, WAL, MVCC, locking, query planner behavior, and background processes Design distributed data architectures using replication, logical decoding, sharding, and multi-region topologies Support PostgreSQL connectivity patterns for Kubernetes workloads such as connection pooling, PgBouncer, sidecars, and service mesh integrations Lead and execute cloud migrations and modernization initiatives from on-prem or legacy platforms to cloud-native PostgreSQL Implement enterprise-grade security and compliance controls including Azure AD integration, encryption at rest and in transit, Private Link, and customer-managed keys Build and maintain automation and infrastructure-as-code using Terraform, Bicep, Azure DevOps, and scripting with Python, Bash, or PowerShell Establish observability and monitoring using Define PostgreSQL standards and best practices, mentor engineers, and act as a senior escalation point for mission-critical systems Core Skills for a PostgreSQL Admin Supporting Microservices Designing PostgreSQL for stateless application tiers and horizontally scaled services Managing connection pooling and concurrency at scale using PgBouncer or similar tools Supporting high-transaction, bursty workloads typical of microservices architectures Implementing schema evolution strategies compatible with continuous delivery Understanding data ownership, consistency models, and service boundaries in distributed systems Supporting event-driven architectures and change data capture patterns. Qualification & Experience8+ years in software architecture, cloud engineering, or platform engineering. Strong expertise in: Kubernetes, containers, service mesh, ingress/egress patterns Microservices and distributed systems Domain-driven design (DDD) and domain decomposition Cloud-native design principles and modernization strategies Demonstrated proficiency in programming languages with the ability to assess current application structures and determine appropriate modernization approaches. Authentication & identity (Auth0, OIDC, OAuth2, SSO) API architecture (REST, GraphQL, gateways) Event-driven design, messaging platforms (Kafka, Azure Service Bus) Cloud-native patterns such as CQRS, Saga, Event Sourcing, Circuit Breakers CI/CD pipelines, Helm charts, GitOps, and modern DevOps tooling Experience using AI-powered tooling to support PostgreSQL administration, troubleshooting, and operational efficiency.

Qualification & ExperienceSound experience of advance Google tools-Google Analytics, Google Search Console, Image SEO, Video SEO, You tube Video optimization. Voice SEO, SEM rush, Aherf tool and advanced SEO tools.Competition Analysis, Ranking Report Creation, Google Analytics Set Up & Report Creation. Experience of all Off-Page activities, Article submissions, Press-release Submission, Blog Submission, Blog Posting, Knowledge Google Algorithm, Keyword Research. Experience of On-Page & Off-Page Optimization, Keyword Research. Must have the knowledge of AMP page optimization, and latest Google trends. Should be open to learn and adapt to the fast changing trends in digital marketing. Should be able to share his/her digital marketing success stories. Should have good communication skills.Eligibility: Any Graduate / Computer Science1 to 1.5 year

Responsibilities Technical Leadership: Provide mentorship and guidance to teammates through coaching. Lead technical operations in mission-critical hosting infrastructure environments. Server Management: Manage, configure, and maintain both physical and virtualized servers (Linux and Windows). Install, configure, and manage operating systems and essential services. Cloud and Virtualization Expertise: Work with cloud platforms like AWS and Azure and virtualization tools such as XEN and Hyper-V. Network and Tools Management: Handle tools like cPanel/WHM, Plesk, routers, and switches. Ensure smooth operations of DNS, email servers, Apache, MySQL, IIS, and MSSQL. Protocol and Communication Management: Expertise in protocols such as SMTP, IMAP, POP3, HTTP, DNS, FTP, and SSH. Problem Analysis and Resolution: Analyze and resolve technical issues promptly. Audit support tickets and ensure timely issue resolution. Scripting and Automation: Familiarity with scripting languages to automate and streamline processes. Collaboration and Communication: Communicate effectively with team members and clients to resolve issues. Maintain strong analytical skills to troubleshoot and solve technical challenges. People Management: Foster collaboration and manage team performance to ensure high-quality service delivery.Qualification & Experience1-2 years of experience in a hosting environment. Expertise in cPanel/WHM, Plesk, and server environments (Linux and Windows). Proficiency in cloud platforms like AWS, Azure, and virtualization tools. Strong understanding of networking fundamentals, DNS, and protocols. Excellent problem-solving, communication, and leadership skills.