Job Title: Mid Senior Data Engineer (LLM AI Infrastructure) About the Role We are looking for a Data Engineer with a minimum of 1 year of experience working with LLMs and a strong background in data pipelines, storage optimization, and AI-driven data processing. The ideal candidate will play a key role in managing, optimizing, and scaling data architectures to support LLM applications and AI workflows. Key Responsibilities - Design and develop scalable, high-performance data pipelines for AI and LLM-powered applications. - Work with structured and unstructured data, ensuring efficient preprocessing, transformation, and storage. - Implement and optimize data retrieval and indexing strategies for LLM fine-tuning and inference. - Manage vector databases (FAISS, Chroma, Pinecone, Weaviate, Astra DB.) for retrieval-augmented generation (RAG) workflows. - Build and maintain ETL/ELT workflows using tools like Airflow, Prefect, or Dagster. - Ensure data quality, governance, and lineage to support AI-driven insights. - Collaborate with ML engineers and researchers to improve LLM data pipelines and infrastructure. - Work with cloud-based data storage solutions (AWS S3, GCP BigQuery, Azure Data Lake, etc.). - Automate data monitoring, validation, and debugging to ensure seamless pipeline execution. Required Skills Experience - 4+ years of overall experience in data engineering, AI infrastructure, or related fields. - At least 1 year of hands-on experience working with LLMs and AI data workflows. - Strong expertise in Python, SQL, and distributed data processing frameworks (Spark, Dask, Ray, or similar). - Experience with vector databases and retrieval systems for AI-driven applications. - Knowledge of data modeling, indexing, and storage optimization. - Familiarity with ETL/ELT frameworks like Apache Airflow, Prefect, or Dagster. - Experience handling large-scale datasets and optimizing data ingestion pipelines. - Understanding of cloud-based data architectures (AWS, GCP, Azure). - Basic knowledge of MLOps principles and integrating data workflows with AI models. Nice to Have - Exposure to LLM fine-tuning, embeddings, and retrieval-augmented generation (RAG). - Experience with LangChain, Hugging Face Transformers, or OpenAI APIs. - Familiarity with feature stores (Feast, Tecton) and streaming platforms (Kafka)

Job Overview: We are looking for a Full-Stack Developer with 4+ years of experience in software development. The ideal candidate will be proficient in both frontend and backend technologies, capable of building scalable and high-performance applications, and have a problem-solving mindset. You will collaborate with cross-functional teams to develop, optimize, and maintain web applications. Key Responsibilities : - Design, develop, and maintain web applications ensuring performance and scalability. - Work with backend services using Node.js (Express.js/NestJS) and databases. - Develop and maintain frontend applications using React.js (minimum 1 year experience required). - Integrate APIs (RESTful GraphQL) and third-party services. - Write clean, maintainable, and efficient code following industry best practices. - Ensure security, reliability, and optimization in applications. - Participate in debugging, troubleshooting, and performance tuning. - Work closely with designers, product managers, and engineers to deliver high-quality solutions. - Stay updated with modern development trends and contribute to technical improvements. Required Skills Qualifications : - 4+ years of experience in full-stack development. - Strong proficiency in JavaScript and TypeScript. - Hands-on experience with Node.js (Express.js/NestJS). - Minimum 1 year of experience working with React.js. - Experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB) databases. - Proficiency in API design, development, and integration (RESTful, GraphQL). - Familiarity with version control tools (Git, GitHub/GitLab/Bitbucket). - Strong problem-solving and analytical skills. - Ability to work both independently and collaboratively in a team. Good to Have : - Experience with Cloud Services (AWS, Azure, or GCP). - Familiarity with Containerization (Docker, Kubernetes). - Knowledge of testing frameworks (Jest, Mocha, or Cypress). - Understanding of event-driven architectures and message queues (Kafka, RabbitMQ).

Job Overview :- We are looking for a Machine Learning Engineer / Data Scientist with a strong background in Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLMs). The ideal candidate has 4+ years of ML/NLP experience and at least 1 year of hands-on experience with LLMs, including fine-tuning, retrieval-augmented generation (RAG), and AI-driven agents. You will work on developing and fine-tuning transformer-based models, building AI-powered agents, and implementing generative AI solutions for real-world applications. If youre excited about LLM advancements and AI-driven automation, this role is for you. Key Responsibilities Fine-tune and optimize LLMs (GPT, LLaMA, Mistral, Falcon, T5, etc.) for domain-specific applications. Develop and integrate AI agents using CrewAI, LangChain, AutoGPT, and OpenAI function calling. Build and enhance retrieval-augmented generation (RAG) pipelines with FAISS, Pinecone, ChromaDB, and Weaviate. Design NLP models for text classification, summarization, NER, question answering, and conversational AI. Optimize embedding-based search, semantic retrieval, and transformer-based models for AI-driven workflows. Evaluate model performance, mitigate bias, and improve model interpretability using responsible AI techniques. Stay updated with the latest LLM advancements and contribute to open-source AI research and applications. Required Qualifications Skills Machine Learning NLP: 4+ years in ML/NLP/Deep Learning, with at least 1+ year working on LLMs. Programming: Python (PyTorch, TensorFlow, JAX). LLM Fine-Tuning: LoRA, QLoRA, PEFT, Instruction Tuning. AI Agents Orchestration: CrewAI, LangChain, AutoGPT. Retrieval-Augmented Generation (RAG): FAISS, ChromaDB, Pinecone, Weaviate. Deep Learning Frameworks: Hugging Face Transformers, OpenAI APIs, LLaMA models. Good-to-Have: Experience with multi-modal AI (text-to-image, speech-to-text, etc.). Knowledge of contrastive learning, RLHF (Reinforcement Learning with Human Feedback). Contributions to open-source AI projects or research papers. Experience Education Requirements 4+ years of experience in ML/NLP, with 1+ year working on LLMs. Bachelor s/Master s degree in Computer Science, AI, Machine Learning, or a related field. Publications or open-source contributions in AI/ML are a plus.

Job Overview We are looking for a Mid-Senior Backend Engineer with experience in Java, microservices, and scalable backend systems. You will be responsible for building, optimizing, and maintaining backend services, contributing to high-performance, distributed systems. This role requires strong experience with Spring Boot, REST APIs, database optimizations, and event-driven architectures. If you enjoy backend development and working with modern microservices architectures, this is the right opportunity for you. Key Responsibilities - Develop, enhance, and maintain backend services using Java and Spring Boot. - Design RESTful APIs and gRPC services for microservices communication. - Optimize database interactions using PostgreSQL, ensuring efficient queries and indexing. - Implement event-driven architectures using RabbitMQ or Kafka for asynchronous processing. - Write unit and integration tests using JUnit, Mockito, and test automation frameworks. - Participate in code reviews, version control (Git), and CI/CD pipeline improvements. - Work with GoLang where needed for backend services requiring high performance. Required Skills Qualifications -Backend Development : 4+ years of experience with Java, Spring Boot, and microservices. -API Development : Proficiency in RESTful APIs, gRPC, and API security best practices. -Database Management : Experience with PostgreSQL (query optimization, indexing, schema design). -Messaging Event-Driven Architecture : Experience with RabbitMQ or Kafka. -Testing CI/CD : Strong understanding of unit testing, integration testing, and CI/CD pipelines. -Version Control : Experience using Git, GitHub/GitLab, and participating in code reviews. Nice to Have Cloud Containerization : Exposure to GCP, AWS, or Azure, with Docker Kubernetes. Authentication Security : Knowledge of OAuth2, JWT, and Role-Based Access Control (RBAC). Experience with WebFlux and reactive programming for high-throughput applications. Experience with GoLang for select backend microservices.

We are seeking an experienced iOS Developer with 4+ years of hands-on experience in iOS application development. The ideal candidate will be proficient in Swift and SwiftUI, with a strong understanding of iOS frameworks and best practices. You will be responsible for developing and maintaining high-performance, scalable, and user-friendly iOS applications. Your contributions will be key to delivering innovative mobile solutions that meet our users needs. Key Responsibilities: Design and build advanced iOS applications using Swift and Swift UI. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Work with APIs and data sources, including third-party libraries and services. Participate in code reviews to maintain and improve code quality. Optimize applications for maximum speed and efficiency. Troubleshoot, debug, and resolve application issues and bugs. Continuously discover, evaluate, and implement new technologies to maximize development efficiency. Stay up-to-date with the latest industry trends, technologies, and best practices in iOS development. Work in Agile manner with a team to provide continuous product delivery. Required Skills and Qualifications: 4+ years of experience in iOS development with Swift. Strong experience with iOS frameworks such as UIKit, SwiftUI, Core Data & URL Sessions. Experience with memory management issues in app using concepts of ARC, retain cycles etc. Experience of working with architectures like - VIP, MVVM, MVC. Experience in building apps with RESTful APIs, integrating third-party libraries, and working with JSON data. Knowledge of version control systems (e.g., Git). Experience with dependency management tools like SPM and CocoaPods. Familiarity with App Store deployment process and understanding of code signing, certificates, and provisioning profiles. Proficient in UI/UX design principles for mobile apps and implementing them in iOS applications. Strong problem-solving skills and ability to troubleshoot complex issues. Experience working in Agile/Scrum development environments. Excellent communication and collaboration skills to work effectively within a team. Preferred Skills: Experience of connecting to IoT applications. Experience with iOS frameworks and libraries like Bonjour Networking Service, GCD and Combine. Experience with XCode instruments like - Time Profiler, Allocations, etc. and other mobile analytics tools. Familiarity with CI/CD pipelines tools and concepts. Knowledge of App Analytics and tools like XCode Cloud, TestFlight, etc. Knowledge of unit testing, UI testing, and debugging techniques.