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.