Job Summary: Strong Full Stack developer with 3-5 years of experience & proficiency with .NET Core (ASP.NET Core), SQL (PostgreSQL/SQL Server), NoSQL (MongoDB/CosmosDB), and Restful web services. Experience in building on web technologies and frameworks (React.js / Next.js / TypeScript ) Commitment to collaborative problem-solving, sophisticated design, and quality products is important. Optimizing services for maximum performance Thorough code review and suggest refactoring for better design/performance Knowledge of Cloud platforms like AWS or Azure Familiarity with code versioning tools viz., Git Key Responsibilities and Duties: Collaborate with the team to design and implement the architecture of applications. Collaborate with the team to design and integrate user-facing elements with server-side logic Skills: .NET Core (ASP.NET Core), C# React.js / Next.js Redux Typescript SQL/NoSQL Flask API / Fast API CI/CD, Docker GIT AWS/Azure Joining: We must fill this position urgently. Candidates who can start within a week will be our priority. Pay range: Upto INR 12-18LPA depending on experience
We're looking for a highly skilled and experienced Lead AI/ML Engineer with a strong background in developing and deploying large language models (LLMs) and agent-based systems . In this role, you will lead the design and implementation of innovative AI solutions, driving our next generation of intelligent applications. Responsibilities: ------------------- Lead the development of LLM-based systems and autonomous agents using Python . Architect and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and relevance. Design and implement robust Text-to-SQL solutions for converting natural language queries into executable database queries. Apply advanced prompt engineering techniques to improve model performance and control. Develop strategies for parsing, processing, and leveraging structured and unstructured data to build high-quality training and inference datasets. Work with AWS services (e.g., S3, EC2, Lambda) to build scalable and reliable AI infrastructure. Utilize ML pipeline tools , such as Amazon SageMaker , to manage the full lifecycle of machine learning models, from experimentation to production deployment. Collaborate with cross-functional teams to define project requirements and deliver on business goals. Mentor junior engineers and foster a culture of technical excellence. Qualifications: ------------------- 4-6 years of professional experience in software engineering, with a significant focus on AI/ML. Exceptional proficiency in Python and its ecosystem for AI/ML development. Deep practical knowledge of LLMs and experience building agent-based systems . Proven expertise in implementing and optimizing RAG and Text-to-SQL pipelines. Hands-on experience with advanced prompt engineering and handling diverse data formats. Experience with AWS and familiarity with its key services. Solid understanding of ML pipeline tools, particularly Amazon SageMaker . Strong problem-solving skills and the ability to work independently in a fast-paced environment. Excellent communication skills and a collaborative mindset. Joining: ---------- We must fill this position urgently. Candidates who can start within a week will be our priority.
Job Summary: Strong Full Stack developer with 3-5 years of experience & proficiency with Python Fast API, Node.js, SQL (PostgreSQL/SQL Server), NoSQL (MongoDB/CosmosDB), and Restful web services. Experience in building on web technologies and frameworks (React.js / Next.js / TypeScript) Commitment to collaborative problem-solving, sophisticated design, and quality products is important. Optimizing services for maximum performance Thorough code review and suggest refactoring for better design/performance Knowledge of Cloud platforms like AWS or Azure Familiarity with code versioning tools viz., Git Key Responsibilities and Duties: Collaborate with the team to design and implement the architecture of applications. Collaborate with the team to design and integrate user-facing elements with server-side logic Skills: Python Fast API, Node.js React.js / Next.js Redux Typescript SQL/NoSQL CI/CD, Docker GIT AWS/Azure Joining: We must fill this position urgently. Candidates who can start within a week will be our priority. Pay range: Upto INR 12-18LPA depending on experience
About the Role: --------------------- We are looking for 3-5 years of experience, forward-thinking LLMOps Engineers to join our team and help build the next generation of secure, scalable, and responsible Generative AI (GenAI) platforms. This role will focus on establishing monitoring, governance, security, and operational best practices while enabling development teams to build high-performing GenAI applications. You will also work closely with GenAI agents and integrate LLMs from multiple providers to support diverse use cases. Key Responsibilities: ------------------------- Design and implement governance frameworks for GenAI platforms, ensuring compliance with internal policies and external regulations (e.g., GDPR, AI Act). Define and enforce responsible AI practices including fairness, transparency, explainability, and auditability. Implement robust security protocols including IAM, data encryption, secure API access, and model sandboxing. Collaborate with security teams to conduct risk assessments and ensure secure deployment of LLMs. Build and maintain scalable LLMOps pipelines for model training, fine-tuning, evaluation, deployment, and monitoring. Automate model lifecycle management with CI/CD, versioning, rollback, and observability. Develop and manage GenAI agents capable of reasoning, planning, and tool use. Integrate and orchestrate LLMs from multiple providers (e.g., OpenAI, Anthropic, Cohere, Google, Azure OpenAI) to support hybrid and fallback strategies. Optimize prompt engineering, context management, and agent memory for production use. Ensure high availability, low latency, and cost-efficiency of GenAI workloads across cloud and hybrid environments. Implement monitoring and alerting for model drift, hallucinations, and performance degradation. Partner with GenAI developers to embed best practices and reusable components (SDKs, templates, APIs). Provide technical guidance and documentation to accelerate development and ensure platform consistency. Qualifications: ------------------ Bachelors or Masters degree in Computer Science, Engineering, or related field. 3-5 years of experience in MLOps, DevOps, or platform engineering, with 2+ years in LLM/GenAI environments. Deep understanding of LLMs, GenAI agents, prompt engineering, and inference optimization. Experience with LangChain, LlamaIndex, Langraph or similar agent frameworks. Hands-on with MLflow, or equivalent tools. Proficient in Python, containerization (Docker) and cloud platforms (AWS/GCP/Azure). Familiarity with AI governance frameworks and responsible AI principles. Experience with vector databases (e.g., FAISS, Pinecone), RAG pipelines, and model evaluation frameworks. Knowledge of Responsible AI, red-teaming, and OWASP security principles. Joining: ---------- We must fill this position urgently. Candidates who can start within 2 weeks will be our priority. Location: ----------- Bangalore Hybrid Show more Show less
Qualifications required ---------------------------- 4-7 years of experience in Business Analytics tools developing Reporting and Dashboards using Power BI 4-7 years of experience & strong knowledge of Power Query, DAX functions etc. 4-7 years of experience in database technologies and strong SQL query writing & optimization skills Hands-on knowledge of Power BI Mobile and Power BI Embedded Set up and management of Power BI Report Server Professional certifications in Power BI are good to have Python is good to have skill Responsibilities ---------------------------- Engage in prototyping, designing, developing, publishing Power BI Reports Develop Power BI Data models and recommend best practices for report creation and visualizations Implement security in reports and dashboards Integrate Dashboards into applications using Embedded Analytics. Collaborate with Business Analysts to gather business requirements for Analytics and Reporting Provide guidance to BI developers in the team Troubleshoot reporting issues and tune report performance Build and modify tables, views and optimize SQL queries, indexes as needed Responsible for implementing security on developed Dashboards in accordance with security and access requirements Ensure agile/scrum practices are followed during the development process Evaluate self-service reporting and dashboard tool Joining ---------------------------- We must fill this position urgently. Candidates who can start within 2-3 weeks will be our priority.