Job Title: Senior Developer / Technical Lead / Solution Architect (Web Development | Azure | Python | ReactJS / NodeJS) Experience: 5+ Years Location: Bangalore (Work From Office) Job Summary: We are seeking a dynamic and experienced Senior Developer / Technical Lead / Solution Architect with a strong foundation in Web Development, combined with expertise in Azure Cloud, Python, and either ReactJS or NodeJS. The ideal candidate will be responsible for solutioning, designing, and full-cycle development of scalable cloud-based web applications. Key Responsibilities: Architect and develop modern, responsive, and secure web applications using Python, ReactJS or NodeJS on Azure. Translate business requirements into technical designs and scalable cloud solutions. Lead full-stack development efforts, ensuring high performance and maintainability. Own the solution architecture, technical strategy, and design reviews for new applications. Collaborate with cross-functional teams including DevOps, QA, and Product to deliver end-to-end solutions. Mentor junior developers and ensure adherence to coding and design standards. Manage deployments, monitor performance, and troubleshoot production issues. Mandatory Skills: Proven experience (5+ years) in web application development (Frontend + Backend). Strong programming skills in Python. Hands-on experience with ReactJS or NodeJS. Solid experience with Azure Cloud services (App Services, Functions, Storage, Key Vault, etc.). Strong understanding of solution architecture and microservices. Familiarity with REST APIs, authentication (OAuth2, JWT), and security best practices. Proficient with DevOps concepts and tools (CI/CD, Docker, Kubernetes, Git). Preferred Qualifications: Azure Certifications (e.g., AZ-204, AZ-305). Familiarity with GraphQL, serverless architecture, and modern design patterns. Experience working in Agile/Scrum teams. Employment Type: Full-time Work Mode: Work From Office (WFO) Location: Bangalore
Job Summary: We are seeking a skilled Backend + Cloud Developer with strong experience in Python or Node.js , Microsoft Azure Cloud services , and Chatbot development . The ideal candidate should be proficient in building scalable backend systems, deploying them on Azure, and creating intelligent, conversational bots for customer engagement and automation. Key Responsibilities: Design and build scalable backend applications using Python or Node.js Develop and manage RESTful APIs and backend logic for integration with frontend and external systems Architect, deploy, and manage cloud-native solutions on Microsoft Azure , including: Azure App Services , Azure Functions Azure API Management , Logic Apps Azure SQL , Cosmos DB , Blob Storage Azure Key Vault , Azure Monitor , Application Insights Azure DevOps , CI/CD Pipelines Design and implement intelligent chatbots using: Azure Bot Framework LUIS / Cognitive Services Dialogflow , Rasa , or other NLP engines (optional) Integrate chatbots with web apps, messaging platforms (e.g., MS Teams, Slack), and backend services Ensure performance, scalability, and security of applications and chatbots Collaborate with cross-functional teams including DevOps, Frontend, and QA Required Skills: Strong backend development experience in Python or Node.js Expertise in Azure Cloud Platform and relevant services Hands-on experience with Chatbot platforms (preferably Azure Bot Service) Proficiency in designing and deploying microservices Deep understanding of API design , authentication/authorization , and cloud security Experience in CI/CD practices and Infrastructure as Code Strong debugging and performance optimization skills Preferred Qualifications: Azure Certifications (e.g., AZ-204 , AZ-305 , AI-102 for chatbot/AI skills) Experience with Docker , Kubernetes (AKS) Exposure to AI/ML services for enhancing bot capabilities Familiarity with Agile/Scrum processes
Role & responsibilities : Manage and grow existing client accounts while identifying and converting new business opportunities. Develop a strong understanding of client needs and provide tailored business solutions. Drive the full B2B sales cycle from prospecting and pitching to closing deals and post-sales support. Prepare proposals, presentations, and business documentation for potential clients. Collaborate with internal teams (marketing, technical, delivery) to ensure client expectations are met. Track account metrics, generate performance reports, and maintain CRM data. Ensure client satisfaction and manage issue resolution in a timely manner. Stay up-to-date with industry trends and competitors. Key Requirements: Bachelor's degree in Business Administration, Marketing, or a related field (MBA preferred). 3+ years of proven experience in B2B Sales, Account Management, or Business Development. Strong communication, presentation, and negotiation skills. Proficiency in CRM tools (e.g., Salesforce, Zoho). Ability to multitask and manage priorities in a fast-paced environment. Willingness to work from the Pune office. Preferred candidate profile : We are seeking a dynamic and results-driven Account Manager to join our team in Pune. The ideal candidate should have a strong background in B2B sales , business development , and client account management . You will be responsible for nurturing long-term relationships, identifying new business opportunities, and ensuring customer satisfaction and retention.
Data Engineer - Python We are looking for a Data Engineer with experience in building data pipelines and implementing AI/ML solutions in Azure. This role involves integrating structured and unstructured data sources for efficient retrieval and processing in support of OpenAI-based RAG pipelines Responsibilities Design and implement data pipelines using Azure Data Factory or equivalent. Set up and manage SQL databases and integrate with Azure AI Search. Prepare and store embeddings for RAG using Azure Vector Search. Ensure data quality, versioning, and security with Azure Blob, Key Vault, and Monitoring. Collaborate with prompt engineers and backend teams to optimize data flow. Collaborating with various stakeholders to determine software requirements. Design and develop logical flows for each business requirement Prepare technical documentation for each feature and guide/coach the junior developers during the implementation phase. Work closely with the other members of the backend and frontend team to integrate different components into the applications. Researching and implementing new technologies for the product Troubleshooting and resolving issues with coding or design. Testing the final product to ensure it is completely functional and meets requirements. Requirements SQL, Azure Data Factory, Azure Blob, Azure Key Vault Experience with vector stores and embeddings Familiarity with Azure OpenAI and AI Search Data modeling and performance tuning REST API integration and scripting Experience with building software using Python. Experience with building applications with micro services & serverless architecture 4+ years of experience in software development roles Good communication skills Technical Skills Language/ Framework: Python, Azure Data Factory, One Lake, Azure Blob, Azure Key Vault Database: Postgres, SQL Server OS: Unix/Linux/Windows/Serverless Others(good to have) Machine Learning Model Building, NLP – NLTK, Spacy, NumPy etc. Location Bangalore
Prompt Engineer We are looking for a Prompt Engineer to join our delivery team and take ownership of prompt design, optimization, and context structuring in out Agentic AI Projects. You will work closely with data engineers, frontend/backend developers, and domain SMEs to ensure the AI produces accurate, relevant, and useful outputs in response to financial queries. Key Responsibilities: Design, develop, and iteratively improve prompts for financial query handling, chart generation, and narrative explanation. Structure context for LLM calls using metadata, schema details, cube hierarchies, and user query history. Optimize prompt formats for different use cases: summaries, comparative analysis, simulations, and forecast scenarios. Collaborate with SMEs to translate business questions into structured prompt frameworks and test sets. Build and test prompt pipelines using RAG techniques with financial datasets and document sources. Monitor LLM outputs for accuracy, completeness, and business alignment; propose corrections and enhancements. Work with the development team to integrate prompt logic into API endpoints and UI workflows.. Requirements: 2+ years of experience in prompt engineering, NLP, or working with LLMs (e.g., GPT-4, Azure OpenAI). Strong understanding of prompt composition strategies (system prompts, few-shot, chain-of-thought, etc.). Experience working with financial or business data (KPIs, variance reports, financial statements, etc.). Familiarity with tools like LangChain, Azure AI Foundry, or custom RAG implementations. Comfortable reading data schemas (Power BI datasets, OLAP cubes) and using them to craft contextual prompts. Basic knowledge of Python, JSON, and APIs. Excellent communication skills and attention to detail. Ability to collaborate cross-functionally with engineers and finance SMEs. Excellent communication skills Good to have: Experience with Azure cloud services Experience with Azure Foundry & Prompt flow Location: Bangalore
We are looking for a detail-oriented and strategic Business Analyst with experience of working on IT projects dealing with corporate finance data. The ideal candidate will work at the intersection of business, data, and technology, acting as a bridge between the Finance team and the technical team. They will be instrumental in gathering requirements, validating outputs, ensuring alignment with business objectives, and supporting iterative delivery across phases. Key Responsibilities: Collaborate with stakeholders from Finance team to capture business requirements and translate them into actionable technical inputs. Analyze financial reports (e.g., Key Figures, Financial Statements, Capex Reports) and map them to underlying data structures (Power BI, OLAP Cubes). Facilitate UAT (User Acceptance Testing) and maintain traceability between requirements, test cases, and outcomes. Participate in Agile ceremonies and sprint reviews, ensuring business alignment and timely sign-offs. Work with data owners to document dataset definitions, KPIs, cube hierarchies, and metadata needed for model context. Requirements: 5+ years of experience as a Business Analyst in an IT services company working on corporate finance projects. Proficient in creating BRDs, user stories, workflows, and test cases. Strong understanding of financial reports, financial KPIs, variance analysis, forecasting, and budgeting processes. Experience working with BI tools such as Power BI and OLAP cubes (SSAS). Familiarity with Excel and PowerPoint-based financial commentaries and how they are used in decision-making. Exposure to AI, ML, or LLM-based platforms (e.g., Azure OpenAI, Copilot interfaces) is a plus. Comfortable working with semi-structured and structured data sources. Excellent communication skills able to distill complex technical outputs into business-friendly narratives. Good to have: Experience of working on AI implementation projects. Experience with tools like JIRA, Confluence, or Azure DevOps. Certification in Business Analysis (CBAP/CCBA) or Agile (Scrum Product Owner/BA). Contribute to prompt engineering and RAG (Retrieval-Augmented Generation) context definition to improve AI performance.
We are seeking a skilled Azure DevOps Engineer to design, implement, and manage the CI/CD pipelines, infrastructure automation, and secure deployment of microservices and AI components. The ideal candidate will ensure seamless integration across multiple Azure services, manage environments across dev/test/prod, and work closely with AI, frontend, and backend teams to enable iterative delivery and high availability. Key Responsibilities: Set up and manage CI/CD pipelines for backend APIs, Azure Functions, web frontends, and AI components using Azure DevOps. Manage infrastructure provisioning using Infrastructure-as-Code (IaC) tools like ARM templates or Terraform. Maintain environments across dev, QA, UAT, and production with secure, role-based access. Configure and manage Azure services including: Azure OpenAI Service Azure Functions & Logic Apps Azure Key Vault Azure Storage, App Services Azure SQL/NoSQL stores Azure Monitor and Application Insights Implement secure secrets and API key management through Azure Key Vault. Collaborate with developers to automate deployments, testing, and rollback strategies. Monitor and optimize infrastructure cost, performance, and uptime. Ensure code repositories (Git), branches, and build policies are aligned with project governance. Support data connectivity and scheduled ingestion from external APIs and internal sources (Power BI, OLAP cubes). Implement logging, alerting, and monitoring using Azure Monitor and Log Analytics. Requirements: 5+ years of experience in DevOps or Cloud Engineering with at least 2+ years on Azure. Strong experience with Azure DevOps pipelines, YAML-based workflows, and Git integration. Proficiency in Azure services like Functions, Logic Apps, Key Vault, Monitor, AD, etc. Experience setting up and managing LLM/AI workloads on Azure (e.g., OpenAI integration, vector databases). Strong scripting skills (PowerShell, Bash, Python, etc.). Familiarity with containerization (Docker) and orchestration (Kubernetes is a plus). Hands-on experience with IaC tools such as Terraform or Bicep. Knowledge of security and access control best practices in Azure environments. Ability to work in agile teams and collaborate with developers, data engineers, and QA. Good to have: Azure certifications: AZ-104, AZ-400, or AZ-305 preferred. Experience with hybrid integration scenarios (on-prem to cloud). Exposure to Power BI XMLA connectivity, OLAP cube gateways, or financial systems is a plus. Familiarity with cost management and FinOps practices on Azure.
Key Responsibilities: Design and Implement RAG-Based Solutions: Lead the development of a robust RAG-based system that seamlessly integrates generative AI models with retrieval mechanisms, ensuring optimal accuracy, performance, and scalability. Agent-Based Solution Development : Build AI agents that can autonomously perform tasks using information retrieval, language models, and multi-turn interactions using AutoGen, LangGraph frameworks. Generative AI Integration : Leveraging LLMs (e.g., GPT, Anthropic, Llama, Deepseek etc.) for generating high-quality, contextually accurate content in response to user queries. Prompt Engineering: Strong proficiency in prompt engineering to design, test, and optimize prompts for large language models, ensuring effective agent behavior and task completion Data & Knowledge Integration : Work on integrating structured and unstructured data sources into the RAG framework to improve model outputs. Collaborate with Teams : Work closely with product, engineering, and data science teams to ensure seamless integration of AI capabilities into broader products. Security & Compliance : Ensure following best practices in data security, privacy, and compliance, particularly in AI-driven applications. Model Evaluation : Implement strategies for continuous evaluation, monitoring, and tuning of models to ensure high-quality outputs. Data Pipeline Design : Build robust data pipelines for preprocessing and integrating structured and unstructured data sources into the platform. Collaborate with Teams : Work closely with data engineers, and software engineers to ensure seamless integration of machine learning models into production environments. Performance Optimization : Implement and experiment with various techniques such as vector search , semantic search , and knowledge distillation to enhance the platforms efficiency and accuracy. Data Quality : Ensure data quality and consistency throughout the data pipeline, implementing necessary quality checks and validation processes. Requirements: 4+ years of experience with building GenAI solutions using Python and Langchain and AutoGen technologies. Agentic AI experienced developing agents using AutoGen and LangGraph frameworks. Prior experience in building GenAI solutions using effective text representation techniques and classification algorithms. Experience with ML – Model Building, Semantic extraction techniques, data structures and modelling Experience with Supervised/Unsupervised Learning, Sentiment Analysis, Statistical Analysis using NLP and Python libraries (NLTK, Spacy, Numpy, Pandas) Experienced in building Rest API’s Experience with building applications with micro services & serverless architecture Excellent communication skills Good to have: Experience with Azure cloud services Experience with Azure Foundry & Prompt flow
We are looking for a Technical Architect who has experience designing software solutions from the ground up, making high-level decisions about each stage of the process and leading a team of engineers to create the final product. To be successful as a Technical Architect, you should be an expert problem solver with a strong understanding of the broad range of software technologies and platforms available. Top candidates will also be excellent leaders and communicators. Responsibilities Collaborate with stakeholders (Product Owners, Engineers, Clients) to define and refine software architecture aligned with product vision. Design scalable, modular, and secure system architecture using microservices and modern design patterns. Create high-level product specifications, architecture diagrams, and technical documentation. Provide architectural blueprints, guidance, and technical leadership to development teams. Build and integrate AI-driven components, including Agentic AI (AutoGen, LangGraph), RAG pipelines, and LLM capabilities (Open-source and Commercial models). Define vector-based data pipelines and integrate vector databases such as FAISS, ChromaDB, or Azure AI Search. Lead the implementation of Prompt Engineering strategies to optimize LLM outcomes. Architect and deploy scalable, secure solutions on Azure Cloud, using services like Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, and Azure DevOps. Ensure robust CI/CD and DevSecOps practices in place to streamline deployments and enforce compliance. Guide the team in troubleshooting, code reviews, performance tuning, and ensuring adherence to software engineering best practices. Conduct regular technical reviews, present progress updates, and ensure timely delivery of milestones. Drive innovation and exploration of emerging technologies, particularly in the field of Generative AI and Intelligent Automation. Requirements 10+ years of hands-on software development experience, with a strong Python background. 3+ years of experience in a Software or Solution Architect role. Proven experience in designing and building production-grade solutions using microservices architecture. Strong expertise in Agentic AI frameworks (AutoGen, LangGraph, CrewAI, LangChain, etc.). Working knowledge of LLMs (Open-source like LLaMA, Mistral; Commercial like OpenAI, Azure OpenAI). Solid experience with Prompt Engineering, RAG pipelines, and Vector Database integration. Experience deploying AI/ML solutions on Azure Cloud, leveraging PaaS components and cloud-native patterns. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Knowledge of architectural patterns: event-driven, domain-driven design, CQRS, service mesh, etc. Familiarity with NLP tools, frameworks, and libraries (spaCy, Hugging Face, Transformers, etc.). Experience with Apache Airflow or other workflow orchestration tools. Strong communication and leadership skills to work cross-functionally with technical and non-technical teams.
Role Overview We are seeking an experienced Delivery Manager to lead end-to-end delivery of multiple automation and AI programs across diverse industry verticals. This role requires a unique blend of technical acumen, large-scale resource management, multi-project delivery expertise, and strong client relationship skills . You will oversee teams of 100+ members, manage both Time & Material and Fixed Bid engagements, and play a pivotal role in expanding our client relationships. Key Responsibilities 1. Technology Leadership (RPA & AI) Serve as the delivery lead for RPA and AI programs, ensuring solutions align with client business goals and technical standards. Understand multiple RPA platforms (e.g., UiPath, Power Automate, Blue Prism, Automation Anywhere) and AI/ML technologies, including Generative AI use cases. Provide guidance on solution design, architecture, and delivery approach in collaboration with technical leads. Stay ahead of emerging trends in automation, AI, and intelligent workflows to drive innovation. 2. Resource & Capacity Management Manage large-scale delivery teams (100+ members), ensuring optimal utilization, bench, and skill alignment . Drive recruitment, onboarding, and upskilling strategies to build high-performance delivery teams. Plan and execute allocation/deallocation of resources across projects to balance workloads and maximize productivity. Maintain accurate skill inventories to support proactive staffing and career development plans. 3. Delivery & Program Management Lead delivery of multiple concurrent projects with varying sizes, complexity, and commercial models. Manage both Time & Material and Fixed Bid engagements, ensuring profitability, quality, and on-time delivery. Define delivery governance frameworks, KPIs, and SLAs; monitor performance against them. Implement risk management, change control, and escalation processes for smooth program execution. Collaborate with cross-functional teams for integrated solution delivery. 4. Customer & Stakeholder Management Act as the senior delivery interface for key clients, fostering trust and long-term partnerships. Drive account growth by identifying new opportunities, collaborating with sales/pre-sales teams, and delivering customer success. Conduct regular client governance meetings, presenting project updates, ROI metrics, and improvement recommendations. Manage executive stakeholder expectations and resolve escalations with a solution-oriented approach. Qualifications & Experience Bachelors or Master’s degree in computer science, Engineering, or related field (MBA preferred). 12+ years of IT delivery experience, including at least 5 years in RPA, AI, or Intelligent Automation programs. Proven track record of managing large-scale teams (100+ people) and delivering enterprise-grade projects. Strong understanding of multiple RPA tools and AI/ML technologies. Experience in managing multi-project delivery with diverse commercial models (T&M and Fixed Bid). Exceptional stakeholder management and account growth skills. PMP, PRINCE2, or Agile certifications preferred. Key Competencies Strategic thinking with operational execution skills. Strong leadership and people management abilities. Excellent communication, presentation, and negotiation skills. Business acumen and financial management for delivery profitability. Ability to thrive in a fast-paced, high-growth environment.
About the Role We are seeking an experienced RPA Developer to join our team, working on automation initiatives for a leading global CPG brand. The ideal candidate will have strong UiPath development expertise combined with solid process documentation skills, enabling them to deliver end-to-end automation solutions. Key Responsibilities Work with SMEs and process owners to gather requirements, document processes, and design automation workflows. Develop UiPath automation solutions for SAP, SaaS-based applications, and database-related processes. Create and maintain project documentation including Process Definition Documents (PDD) and Solution Design Documents (SDD). Automate processes using SAP BAPIs, database connections, and APIs (SOAP/REST). Collaborate with senior developers on multiple projects, ensuring delivery meets business requirements. Support on-call production issues, adhering to structured change control processes. Map and design process flow diagrams using tools like Visio. Participate in testing, UAT sessions, and deployment activities. Ensure adherence to coding standards and best practices in Intelligent Automation. Required Skills & Experience 5+ years of experience in UiPath development and RPA lifecycle (Define, Develop, Deploy). UiPath Automation Developer certification (Associate/Professional/Advanced). Strong DBMS (Oracle, SQL, MySQL, MongoDB), and PL/SQL skills. Hands-on experience with SAP automation using BAPIs. Knowledge of API development/consumption. Experience in process documentation and mapping. Exposure to CPG industry processes like STP, PTP, OTC, and RTR. Agile mindset and ability to manage multiple priorities. Good-to-Have AI/ML exposure (future capability requirement). Experience with SaaS-based application automation. Knowledge of Visio or similar tools. Work Arrangement Hybrid model (34 days onsite in Bangalore). Mostly regular shifts with occasional on-call production support. Joining Timeline Immediate to 1 week. If you meet the above requirements and are ready to take on complex automation challenges, apply now to be part of this exciting opportunity.
About the Role We are seeking a Business Analyst with experience in Robotic Process Automation (RPA) projects, preferably with Automation Anywhere and/or UiPath exposure. This role will involve working closely with business stakeholders, process SMEs, and RPA developers to gather requirements, analyze processes, and ensure successful automation delivery. Key Responsibilities Engage with business teams to understand and document automation requirements. Conduct process analysis and feasibility studies to assess automation opportunities. Create detailed Process Design Documents (PDDs) and Solution Design Documents (SDDs) for RPA development teams. Work closely with RPA developers to ensure requirements are accurately implemented. Assist in UAT planning, execution, and sign-off. Identify risks, issues, and dependencies early in the automation lifecycle. Maintain clear communication between business stakeholders and technical teams. Support post-deployment reviews and process optimization. Required Skills & Qualifications 4+ years of experience as a Business Analyst, with at least 2 years in RPA-related projects. Strong understanding of Automation Anywhere and/or UiPath capabilities. Proficient in documenting workflows, business rules, and functional specifications. Excellent analytical, problem-solving, and communication skills. Experience with Agile/Scrum methodologies is a plus. Ability to work independently and manage multiple stakeholders. Preferred Qualifications RPA Business Analyst Certification (Automation Anywhere or UiPath). Exposure to other intelligent automation technologies (OCR, AI/ML). Experience in Insurance, banking, finance, or manufacturing domains. Work Mode Location: Pune (Work from Office Mandatory). 5-day work week.
About the Role We are looking for a skilled RPA Developer with strong hands-on experience in UiPath and working knowledge of Automation Anywhere. The ideal candidate will design, develop, and implement automation solutions to streamline business processes, improve efficiency, and ensure high-quality delivery. Key Responsibilities Design, develop, and deploy RPA solutions primarily using UiPath and, where applicable, Automation Anywhere. Configure bots, scripts, and workflows to meet business needs. Perform unit testing, troubleshooting, and debugging of automation workflows. Maintain and update automation documentation and technical specifications. Monitor bot performance and provide post-deployment support. Ensure compliance with best practices, coding standards, and security guidelines. Required Skills & Qualifications Primary Skill: Strong hands-on experience with UiPath. Secondary Skill: Working knowledge of Automation Anywhere A360 development. Good understanding of RPA concepts, process design, and development lifecycle. Proficiency in scripting languages (VBScript, JavaScript, Python preferred). Knowledge of API integrations and working with different data formats (JSON, XML, Excel). Experience in debugging and optimizing RPA bots for performance. Strong problem-solving skills and ability to work independently. Excellent communication skills to interact with stakeholders. Preferred Qualifications UiPath Developer Certification. Automation Anywhere Advanced/Professional Certification. Exposure to other automation tools or intelligent automation technologies. Location: Pune (Work from Office Mandatory). 5-day work week.
We are seeking a highly skilled Power BI Data Analyst to bridge the gap between business knowledge and AI engineering. This role will involve understanding our customers existing Power BI setup, extracting and documenting dataset structures, KPIs, and business logic from subject matter experts (SMEs), and collaborating with AI engineers to design prompts for generating dynamic DAX queries that power an AI-driven financial analytics platform. Key Responsibilities Dataset Analysis: Review and understand the structure, measures, and relationships within existing Power BI datasets, OLAP cubes, and related sources. Metadata Extraction: Work with customer SMEs to document: Dataset definitions, fields, measures, hierarchies, and calculated columns KPI definitions and business rules (across Key Figures, Financial Statements, Cash Flow, Global Cost Benchmark, etc.) KPI Details Report logic and business context Prompt Design Support: Collaborate with AI engineers to: Translate business questions into prompt templates for dynamic DAX generation Validate AI-generated DAX queries for accuracy and efficiency Provide structured dataset metadata for Retrieval-Augmented Generation (RAG) pipelines Validation & Testing: Run and validate generated queries in Power BI / DAX Studio to ensure correctness. Documentation: Maintain up-to-date technical and business documentation for all datasets and KPIs. Stakeholder Collaboration: Act as the bridge between business SMEs, BI teams, and AI engineers to ensure alignment on requirements and outputs. Required Skills & Experience Strong hands-on experience with Power BI , including datasets, measures, relationships, and the Power Query Editor. Proficiency in DAX writing, debugging, and optimizing queries. Experience working with OLAP cubes and SSAS (tabular/multidimensional). Excellent communication skills for engaging with business stakeholders and technical teams. Ability to translate business needs into clear technical requirements. Experience in documenting metadata, KPIs, and business rules for BI systems. Familiarity with prompt engineering concepts or willingness to learn. Preferred Skills Exposure to AI/LLM projects , especially in generating code or queries. Knowledge of Azure Power BI Service integration via XMLA endpoints. Understanding of financial KPIs and corporate reporting structures. Experience with tools like DAX Studio , Tabular Editor , or similar. Familiarity with Retrieval-Augmented Generation (RAG) and metadata-driven AI systems.
Role & responsibilities This is a full-time on-site role located in Bengaluru. The selected person will be responsible for managing key client accounts and selling/ upselling/ cross-selling the company's services which are in AI/ML, GenAI, Robotic Process Automation and related areas. The role requires building relationships with customers, identifying growth opportunities, generating leads, managing the entire sales cycle, leading to revenue growth and account expansion. Preferred candidate profile Proven track-record in sales and account management in the IT Services sector Experience in selling RPA and AI engagements Experience selling IT services to large global clients and their Indian GCCs Experience working in a well-known IT services company Excellent verbal and written communication skills Must be based in Bengaluru, Karnataka, India Preferably a Bachelor's degree in Engineering and an MBA
Role & responsibilities This is a full-time on-site role for an IT Recruiter located in Bengaluru. The selected person will be responsible for managing the full life cycle of recruiting, including sourcing, interviewing, and hiring candidates. They will focus on identifying and recruiting top technical talent, coordinating with hiring managers to identify staffing needs, and managing the candidate experience throughout the recruitment process. The company primarily hires AI/ML, GenAI, RPA, and Full Stack engineers. Preferred candidate profile IT Recruiting expertise especially in RPA, AI/ML, and GenAI technologies Experience of working as an IT recruiter at a well-known IT services company Full-life Cycle Recruiting skills Deep expertise with recruitment tools, especially Naukri and linkedIn Excellent oral and written communication skills Strong organizational and time management skills Ability to work collaboratively with hiring managers and team members Bachelor's degree in Human Resources, Business, or a related field
Key Responsibilities: Design, develop, and maintain backend services using Node.js and Python . Build and manage cloud-based applications on Microsoft Azure (App Services, Functions, Storage, DevOps, etc.). Collaborate with frontend developers and contribute to UI integration using React.js . Develop and integrate RESTful APIs and microservices. Ensure high performance and responsiveness of backend systems. Write clean, testable, scalable code and participate in code reviews. Troubleshoot, debug, and upgrade existing systems. Work in an Agile environment and participate in daily stand-ups and sprint planning. Required Skills: Backend: Strong experience with Node.js and Python . Cloud: Hands-on experience with Microsoft Azure (e.g., Azure App Services, Azure Functions, Azure DevOps, Azure Storage). Frontend: Working knowledge of React.js for UI collaboration and minor front-end tasks. API Development: Experience in designing and integrating RESTful APIs and working with third-party APIs. Familiarity with CI/CD pipelines , containerization (Docker), and DevOps practices. Knowledge of SQL/NoSQL databases (e.g., MongoDB, PostgreSQL, Cosmos DB). Good understanding of software development best practices and agile methodologies. Preferred Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. Azure Certifications (AZ-204, AZ-900, or similar) is a plus. Experience in full-stack projects with frontend/backend/cloud integration.
Roles and Responsibilities: Working along with the Business Analyst, testing teams and coordinating for smooth delivery aligned with business requirements Design, develop, and deploy advanced AI/ML models across NLP, Computer Vision, and Generative AI projects. Research and implement GenAI applications using Azure OpenAI, MS Copilot Studio, Azure AI Foundry, and Azure Cognitive Services. Build agentic AI systems using frameworks like MS Autogen, LangChain, and Semantic Kernel for autonomous workflows and task orchestration. Performing code optimization and identifying potential issues and defects. Adhere to industry standard best practices for AI/ML development, evaluation and deployment, ensuring maintainable, scalable, and secure solutions. Analyzing the technical & functional feasibility of new use cases which needs to be automated Working on test procedures and scenarios for the pre-UAT phases Implementing change requirements supporting a structured change control process Monitoring and working on solving issues on day-to-day basis for the solutions developed and deployed Working with Business Analyst and SME for feasibility analysis Attending meetings for the solution development and problems identified with the solution Capable of taking up complex challenges in AI/ML/GenAI domain Mentor and train fellow COE members to cross skill on AI/ML technologies Knowledge and Skills Requirements: Agile mindset and team player. 5+ years of hands-on experience designing, developing, deploying, and maintaining AI/ML and Data Science solutions. Good to have experience in designing, developing, deploying and supporting UI/UX/Front end for the AI/ML solutions. Solid experience in Python with libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, Hugging Face Transformers, SpaCy, and OpenCV. Proven expertise in GenAI and Agentic AI using frameworks like MS Autogen, LangChain, Semantic Kernel, and prompt engineering techniques. Strong experience with RAG pipelines, vector stores (e.g., Azure Cognitive Search,), and enterprise knowledge base integration. Proficient in Azure AI ecosystem: Azure Cognitive Services (Language, Vision, Speech), Azure Machine Learning, Azure AI Foundry, and Azure DevOps. Familiar with Git for version control and collaborative development. Strong knowledge and experience using LLM models. Hands on experience in designing, developing, and consuming SOAP/REST APIs Experience with Lean / Agile development methodologies. Capable of delivering on multiple competing priorities with little supervision Good verbal and written communication skills Willing to work in 24/7 shifts.
About the Role We are looking for a skilled AI/ML Engineer to help design and implement GenAI-based systems that interface with real-time enterprise data. You will be responsible for developing, fine-tuning, orchestrating, and integrating LLM-powered capabilities such as retrieval-augmented generation (RAG), function/tool calling, and data-grounded Q&A, within the Azure OpenAI ecosystem . The ideal candidate brings hands-on experience with LLM orchestration frameworks , prompt engineering, embedding models, and integrating AI systems into production-grade Azure-based platforms. Core Responsibilities LLM System Development Design and implement LLM-based pipelines , including: Prompt engineering Few-shot and zero-shot techniques Function/tool calling Chain-of-thought and structured output generation Work with Azure OpenAI , GPT-4 , and embedding models for various use cases Build conversational flows, decision trees, and fallback logic for copilots or assistants Retrieval-Augmented Generation (RAG) Develop and optimize RAG pipelines : Create embedding pipelines (e.g., using text-embedding-ada-002, Cohere, or Sentence Transformers) Chunk and index content from structured and unstructured sources (PDFs, Office files, HTML, etc.) Store and retrieve embeddings using Azure AI Search , FAISS , or Weaviate Evaluate grounding accuracy and relevance scoring Machine Learning Models Build, train, and fine-tune time series forecasting models (e.g., XGBoost, Prophet, ARIMA, or LSTM) for financial KPIs where GenAI requires predictive context Combine structured model outputs with LLM reasoning (e.g., forecasts + narrative insights) Tool/Function Integration Integrate structured data APIs, SQL endpoints, Power BI connectors, and OLAP cube access as tools/functions callable by the LLM Design input/output schemas for safe and deterministic API usage by the model Support plugin-style orchestration (LangChain/Function Calling/Semantic Kernel) Evaluation & Iteration Define custom evaluation frameworks using metrics like: Hallucination rate Grounding precision/recall Prompt latency and token efficiency Set up experiment tracking using tools like MLflow , Weights & Biases , or PromptLayer Maintain few-shot/test prompt sets and continuously refine Required Skills and Experience 36+ years of experience in AI/ML/NLP engineering Deep familiarity with LLM systems : prompt tuning, orchestration, and fine-tuning Hands-on experience with: Azure OpenAI Service LangChain , Semantic Kernel , or similar orchestration tools Vector databases (Azure AI Search, FAISS, Pinecone) Embedding model APIs (OpenAI, HuggingFace, Cohere, etc.) Strong understanding of time series modeling and ML forecasting techniques in financial domains (e.g., cost, margin, working capital, price volatility) Strong proficiency in Python , with experience in developing modular, testable code for AI/ML pipelines, API integrations, and backend services Experience building and deploying backend components (e.g. FastAPI, Flask) to serve AI models or integrate with retrieval pipelines Familiarity with best practices for production-grade AI applications , including logging, monitoring, and containerisation (e.g. Docker) Ability to work across the full stack of an AI system – from model development to integration and inference APIs Experience in building chatbots or copilots in enterprise settings Knowledge of Azure cloud services , esp. Functions , App Services , Blob Storage , and Key Vault Familiarity with enterprise systems like Power BI , SAP , or OLAP cubes
Position Overview We are seeking a highly skilled and motivated RPA UiPath Tech Lead to join our support and maintenance team. The role requires strong technical expertise in UiPath, proven leadership skills, and the ability to ensure smooth operations of automation solutions in a support window for production environment. Key Responsibilities Lead and manage L1 , L2 and L3 support teams for UiPath RPA solutions. Oversee day-to-day operations, production monitoring, incident triage, and resolution. Coordinate with business stakeholders, infrastructure, and Infosec teams to resolve issues and address requirements. Manage service requests, bug fixes, and enhancements for existing automations. Ensure adherence to SLAs, compliance standards, and audit requirements. Review and optimize existing workflows for performance, stability, and scalability. Provide technical leadership, mentoring, and regular reviews for the support team. Maintain knowledge base, SOPs, and runbooks for efficient L1/L2 operations. Drive continuous improvement and propose automation opportunities within support processes . . Required Skills & Experience 58 years of IT experience, with 3–4 years in UiPath RPA development and support . Strong expertise in UiPath Studio, Orchestrator, REFramework, Queues, and Scheduling . Proven experience in leading L1/L2/L3 teams, incident management, and production monitoring . Hands-on experience in exception handling, debugging, logging, and bot performance tuning. Knowledge of SQL, APIs, and scripting (VB.Net, C#, or Python) preferred. Familiarity with infrastructure setup, deployment, and RPA security standards. Strong leadership, communication, and stakeholder management skills. Preferred Qualifications UiPath Advanced Developer / Solution Architect certification. Exposure to ITIL processes (Incident, Change, Problem Management). Experience with cloud-based deployments (Azure, AWS, GCP). Knowledge of other RPA tools (Automation Anywhere, Power Automate and Python) is a plus. Education Bachelor’s degree in Computer Science, Engineering, or equivalent field.