Job Summary: We are seeking a highly skilled Python Developer with a minimum of 5 years of development experience and hands-on experience building AI-based applications . The ideal candidate should have strong expertise in AI application development , Retrieval-Augmented Generation (RAG) workflows , and embedding models . Prior experience working with Large Language Models (LLMs) such as Llama or Granite is essential, along with proficiency in pre- and post-processing of RAG workflows . This is a 100% onsite opportunity as the developer will be required to collaborate closely with key application developers and architects , ensuring seamless integration and deployment of AI-powered applications within enterprise environments. Key Responsibilities: Develop AI-powered applications leveraging LlamaIndex or LangChain . Implement RAG (Retrieval-Augmented Generation) workflows , including pre- and post-processing techniques . Work with embedding models to optimize document retrieval and ranking. Build and optimize APIs using FAST API . Develop prompt engineering techniques for both text and images to optimize LLM outputs. Deploy and manage containerized applications using Docker, OpenShift, or Kubernetes . Work with vector databases on Azure for AI-driven search and retrieval. Integrate and manage OIDC-based authentication for secure application access. Optimize application performance, scalability, and security in cloud environments. Understand Kafka and event-driven programming for real-time data processing. Collaborate with key application developers and architects to align AI development with enterprise system requirements. Requirements: 3-5 years of development experience in Python and software engineering. Hands-on experience building AI-based applications using modern frameworks. Prior experience working with LLMs such as Llama or Granite . Hands-on experience with LlamaIndex or LangChain for AI-driven workflows. Deep understanding of RAG (Retrieval-Augmented Generation) workflows , including pre- and post-processing techniques . Proficiency in embedding models for search and ranking. Strong prompt engineering experience for text and images . Experience in FAST API for building high-performance APIs. Good understanding of Docker, OpenShift, or Kubernetes for container orchestration. Familiarity with vector databases on Azure (e.g., Azure Cosmos DB, FAISS, Chroma ). Experience with OIDC authentication frameworks and security best practices. Understanding of Kafka and event-driven programming . Working knowledge of NoSQL databases and MS SQL . Basic understanding of Kotlin and React to collaborate effectively with frontend and mobile teams. Strong problem-solving skills and ability to work in a collaborative, onsite environment . Nice to Have (Red Hat-Based Products & AI Model Serving): Experience with Red Hat OpenShift Service Mesh . Knowledge of Red Hat Quay for container registry management. Experience with model serving using OpenShift AI and vLLM . Knowledge of pipeline automation using KubeFlow Pipelines and Elyra . Role & responsibilities This opening is at our client's office in Delhi/NCR region Interested candidates can also send CV on careers@futopstech.com or Whatsapp on 8956427737

Seeking a highly skilled and experienced Senior .NET Developer to work closely with customer teams. This role is pivotal in designing, developing, and, crucially, mentoring others in the adoption of modern Cloud Native Development practices. If you're passionate about pairing, fostering technical growth, and building robust microservices-based solutions with .NET and Podman, we want to hear from you. Job Nature - Contractual for 2 months Job Location - Delhi/NCR Job Mode - WFO (Mon to Fri) Key Responsibilities Lead the design, development, and implementation of high-quality, scalable, and secure microservices using C# and the .NET (Core) ecosystem. Drive the adoption and implementation of Continuous Delivery (CD) pipelines, ensuring efficient and reliable software releases for microservices. Highly skilled in Test-Driven Development (TDD) practices, writing comprehensive unit, integration, and end-to-end tests to ensure code quality and maintainability within a microservices architecture. Design, develop, and deploy .NET microservices within containers, leveraging inner loop practices Utilize Podman/Docker Compose (or similar multi-container tooling compatible with Podman) for local development environments and multi-service microservices application setups. Implement robust API Testing strategies, including automated tests for RESTful APIs across microservices. Integrate and utilize Observability tools and practices (e.g., logging, metrics, tracing) to monitor application health, performance, and troubleshoot issues effectively in a containerized microservices environment. Collaborate closely with product owners, architects, and other developers to translate business requirements into technical solutions, specifically focusing on microservices design. Play a key mentoring role, actively participating in pairing sessions, providing technical guidance, and fostering the development of junior and mid-level engineers in microservices development. Contribute to code reviews with an eye for quality, maintainability, and knowledge transfer within a microservices context. Actively participate in architectural discussions and contribute to technical decision-making, particularly concerning microservices design patterns, containerization strategies with Podman, and overall system architecture. Stay up-to-date with emerging technologies and industry best practices in .NET, microservices, and containerization, advocating for their adoption where appropriate. Troubleshoot and debug complex issues across various environments, including Podman containers and distributed microservices. Required Skills and Experience 7+ years of professional experience in software development with a strong focus on the Microsoft .NET (Core) ecosystem (ideally .NET 6+ or .NET 8+). Expertise in C# and building modern applications with .NET Core. Demonstrable experience designing, developing, and deploying Microservices Architecture. Demonstrable experience with Continuous Delivery (CD) principles and tools (e.g., Azure DevOps, GitLab CI/CD, Jenkins). Proven track record of applying Test-Driven Development (TDD) methodologies. Strong practical experience with Podman, including building and running .NET applications in Podman containers, and an understanding of its daemonless/rootless architecture benefits. Proficiency in using Podman Compose (or similar approaches) for managing multi-container .NET applications locally. Extensive experience with API Testing frameworks and strategies (e.g., Postman, Newman, SpecFlow, Playwright, XUnit/NUnit for integration tests). Deep understanding and practical experience with Observability principles and tools (e.g., Application Insights, Prometheus, Grafana, OpenTelemetry, ELK Stack, Splunk). Solid understanding of RESTful API design and development. Experience with relational databases (e.g., SQL Server, PostgreSQL) and ORMs (e.g., Entity Framework Core). Excellent mentorship and communication skills, with a passion for knowledge sharing and team development. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a collaborative team.

Job Title: Generative AI Lead Location: Kharadi, Pune, India Experience: 4+ years (with 3+ years in AI/ML and 1+ years in GenAI) Job Type: Full-Time Mode: WFO Workdays: Monday to Friday Shift: Standard day shift Department: AI/ML About the Role: We are seeking a visionary and hands-on Generative AI Lead to drive our AI innovation strategy and implementation. This role involves leading GenAI projects from ideation to deployment, collaborating across teams, and building intelligent solutions that transform user experiences, workflows, and product capabilities. As a GenAI Lead, you will play a key role in architecting and deploying advanced AI models, especially in the fields of NLP, LLMs, and multimodal AI. Key Responsibilities: Lead the design, development, and deployment of generative AI solutions using LLMs, diffusion models, transformers, and other state-of-the-art techniques.Manage a team of AI/ML engineers and data scientists to deliver scalable and secure GenAI applications.Evaluate and fine-tune open-source and proprietary large language models (e.g., GPT, LLaMA, Mistral, Claude).Collaborate with product managers, engineers, and stakeholders to identify high-impact use cases.Integrate GenAI models into production systems ensuring efficiency, fairness, and reliability.Conduct POCs and prototypes for internal and client-facing solutions.Stay up to date with the latest research and advancements in generative AI and related fields.Ensure adherence to AI governance, ethics, and data privacy standards. Required Skills & Qualifications: Bachelor's/Masters/PhD in Computer Science, AI, Data Science, or a related field.Strong programming skills in Python and ML frameworks like TensorFlow, PyTorch.Proven experience with LLMs (OpenAI, Hugging Face, Anthropic, etc.) and prompt engineering.Hands-on experience in fine-tuning models and building GenAI pipelines.Knowledge of RAG, LangChain, Vector Databases (e.g., FAISS, Pinecone), and APIs.Strong understanding of cloud platforms (AWS, Azure, GCP) and MLOps practices.Experience with model evaluation, interpretability, and optimization.Strong problem-solving and communication skills. Preferred: Experience in deploying GenAI solutions.Exposure to multimodal AI (text + image/audio).Contribution to open-source GenAI projects or published research papers. What We Offer: Opportunity to lead impactful, cutting-edge AI initiativesCompetitive compensation and benefitsA collaborative and innovation-driven cultureAccess to latest tools and GPU resources

Person Available in Pune can apply only Supervising a team of customer support professionals. Monitoring the entire customer service process. Resolving customer issues brought to your attention. Creating procedures and policies for effective customer service. Planning how to train customer support professionals. Standardizing the customer service delivery of an organization. Interviewing the skills of potential candidates through relevant questions. Recruiting the best candidates from a wide range of interviewees. Tracking the work of every customer service representative in the team. Performing quality assurance surveys with customers. Job Types: Full-time, Fresher Benefits: Health insurance Provident Fund Schedule: Day shift Performance bonus Yearly bonus Work Location: In person,

Job Title: Data Scientist Experience: 2 to 4 Years Location: Delhi/NCR Industry: Information Technology & Services Employment Type: Full-time About the Role: We are looking for a passionate and results-driven Data Scientist to join our growing analytics and AI/ML team. The ideal candidate will bring hands-on experience in data exploration, model building, and deployment. You will work closely with cross-functional teams to deliver actionable insights and machine learning solutions that drive business value. Key Responsibilities: Collect, clean, and preprocess large datasets from various sources. Perform exploratory data analysis and visualize patterns and trends. Build and validate machine learning and statistical models. Translate business problems into data science problems and solutions. Communicate findings through reports, dashboards, and visualizations. Collaborate with engineering and product teams to deploy data-driven solutions. Stay updated with the latest tools, technologies, and industry trends. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field. 2 to 4 years of industry experience in data science, machine learning, or applied statistics. Proficient in Python (NumPy, pandas, scikit-learn, matplotlib, etc.). Solid understanding of supervised and unsupervised ML algorithms. Experience with SQL and data querying from relational databases. Familiarity with tools like Jupyter, Git, and cloud platforms (AWS/Azure/GCP) is a plus. Exposure to model deployment and MLOps practices is desirable. Strong analytical thinking and problem-solving skills. Good communication and team collaboration abilities. Nice to Have: Experience with NLP, computer vision, or time-series analysis. Knowledge of Big Data tools (Spark, Hadoop). Experience with data visualization libraries (Seaborn, Plotly, Power BI, Tableau).

Job Title: Agent AI Specialist / Senior AI Engineer Location: Delhi NCR Experience: 1–2 years Department: AI/ML Research & Development Job Type: Full-time Job Summary: We are seeking a highly skilled and motivated AI Specialist with hands-on experience in Agent AI frameworks and multi-agent communication protocols. The ideal candidate will be passionate about pushing the boundaries of AI with deep learning, autonomous agents, and cutting-edge tools like LangChain, LangGraph, and llama-index. If you have a strong foundation in image processing, and experience with cloud AI platforms like Azure ML Foundry or Google Vertex AI, we’d love to hear from you. Key Responsibilities: Design, build, and deploy AI agents using frameworks like Autogen , LangChain , LangGraph , and llama-index Develop and implement Agent-to-Agent (A2A) communication protocols for autonomous coordination Integrate multi-agent cognitive protocols (MCP) for enhanced agent collaboration Apply advanced deep learning techniques to real-world AI and computer vision problems Work on image processing tasks using AI/ML models for detection, enhancement, and transformation Collaborate with cross-functional teams to deliver scalable AI solutions on cloud platforms such as Azure Foundry or Google Vertex AI Conduct POCs and build demos showcasing agent-based AI applications Stay current with research trends and innovations in the field of generative AI, agent systems, and multimodal learning Key Requirements: Proven experience with Agent AI frameworks like Autogen or similar Strong understanding of MCP / A2A protocols and agent coordination techniques Proficiency in Python and AI/ML libraries (e.g., PyTorch, TensorFlow) Experience in image processing using AI (OpenCV, Pillow, deep learning models, etc.) Hands-on experience with LangChain , LangGraph , llama-index , or equivalent modular AI frameworks Familiarity with cloud-based ML tools – especially Azure Foundry , Google Vertex AI , or AWS SageMaker Strong analytical and problem-solving skills Good communication and documentation abilities. Qualifications: BE/B.Tech/MCA/MSc