409 Llm Jobs - Page 10

Tech stack required: Programming languages: Python Public Cloud: AzureFrameworks: Vector Databases such as Milvus, Qdrant/ ChromaDB, or usage of CosmosDB or MongoDB as Vector stores. Knowledge of AI Orchestration, AI evaluation and Observability Tools. Knowledge of Guardrails strategy for LLM. Knowledge on Arize or any other ML/LLM observability tool. Experience: Experience in building functional platforms using ML, CV, LLM platforms. Experience in evaluating and monitoring AI platforms in production Nice to have requirements to the candidate Excellent communication skills, both written and verbal. Strong problem-solving and critical-thinking abilities. Effective leadership and mentoring skills. Ability to collaborate with cross-functional teams and stakeholders. Strong attention to detail and a commitment to delivering high-quality solutions. Adaptability and willingness to learn new technologies. Time management and organizational skills to handle multiple projects and priorities.

OUR CLIENT is ranked #1 on Glassdoor's 2023 Best Place to Work List. Here's why. At OUR CLIENT's mission is to be living proof you can win in business while being human-first. OUR CLIENT's industry-leading platform helps companies of all sizes and industries build durable businesses. OUR CLIENT offers a powerful set of customer success, product, community and education solutions that enable businesses to scale efficiently, create alignment, and have a holistic view of their customers all of which help increase product adoption, prevent churn, and grow renewals and expansions. Hundreds of companies use our software, including nearly 200 publicly traded organizations and industry leaders such as GE Digital, SAP Concur, and Zendesk. We have offices in the US, UK, Netherlands, Israel, Japan, and India. OUR CLIENT joined the Vista Equity Partners portfolio in 2020. In 2021, we won their Excellence in Engineering award for our product and engineering advancements. OUR CLIENT has also been named one of the top 100 private cloud companies by Forbes, one of the fastest-growing private companies in America by Inc. Magazine, and one of 20 Great Workplaces in Tech by Fortune Magazine. With diversity and inclusion at the forefront of our values, OUR CLIENT promotes a culture that celebrates diversity and inclusiveness regardless of but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age. Job Summary: OUR CLIENT is building something new: Managed AI Services, a category-defining initiative focused on delivering high-value, AI-augmented outcomes. Unlike traditional services, this function is designed and operated as a scalable capability that integrates human expertise and oversight with large language models (LLMs) and AI Agents to deliver repeatable, premium experiences across the post-sales customer journey. This function represents a new category of value creation at OUR CLIENT distinct from traditional servicesenabling us to offer outcomes with the scale, efficiency And repeatability of SaaS offering while retaining the customizability and white glove quality Office Service Offering quality that our customers expect. The group will serve as a central operational layer for AI-augmented work, partnering closely with product, engineering, customer success, education, and analytics teams. As an Applied AI Engineer (Models, Prompts, Reasoning), you will operate at the intersection of model capabilities, reasoning frameworks, agentic behavior, and AI feature delivery. You won’t just refine large language models—you’ll design and build end-to-end LLM-based agentic applications, from model selection and evaluation to multi-step reasoning and prompt chaining, all the way to integrating intelligent decision-making flows into production systems. This role requires a strong technical foundation in AI/ML, deep learning, and NLP, along with hands-on experience in prompt engineering, retrieval-augmented generation (RAG), and function calling to optimize AI performance. What you will do: Evaluate and integrate LLMs from OpenAI, Anthropic, Meta (Llama 2), and other vendors. Develop multi-step reasoning and prompt-chaining frameworks for complex AI applications. Optimize AI models by tuning temperature, top_p, and frequency penalties for high-quality outputs. Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS, or Weaviate. Design and orchestrate multi-model ecosystems that ensure factual accuracy and contextual adaptability. Utilize self-critique and reflection prompts to improve model responses and reduce hallucinations. Collaborate cross-functionally with Product, Engineering, and Research teams to deploy AI-driven solutions at scale. Continuously test and refine LLM behaviors using A/B testing, model evaluation frameworks, and feedback loops. Who you are: 5–8+ years of experience in AI, Machine Learning, and Natural Language Processing (NLP). 2–3+ years of hands-on experience working with LLMs and AI-powered applications. Strong knowledge of LLM architectures, including GPT-4, Claude, Llama 2, Mistral, and fine-tuning methodologies. Expertise in prompt engineering, function calling, and agentic workflows. Experience with retrieval-augmented generation (RAG) and integrating vector databases into AI pipelines. Proficiency in Python, LangChain, Hugging Face, OpenAI SDKs, and AI orchestration tools. Familiarity with multi-model orchestration, decision logic, and self-correcting AI behaviors. Strong understanding of LLM safety, bias mitigation, and ethical AI development. Experience with deploying AI systems in production, API integration, and cloud-based AI solutions. Bonus Skills (Nice to Have): Hands-on experience fine-tuning open-source LLMs. Knowledge of advanced reasoning frameworks (Chain-of-Thought, Tree of Thoughts). Experience working with LLM evaluation metrics (BLEU, perplexity, win-rate comparisons). Job Benefits At OUR CLIENT, the mission is to be living proof you can win in business while being human first. Your job should never be a barrier to your happiness—it should be an avenue to achieve it. At OUR CLIENT, we’re passionate about achieving our goals—at the office and everywhere—and we work every day to create an environment that nurtures our best selves. Here are OUR CLIENT’s 5 core values Golden Rule : We try to practice the Golden Rule by exercising reliability, trust and giving back to each other and our community. Success for All : We believe in success for our stakeholders—whether our teammates, clients or shareholders—comes with a sincere focus on continuous learning, selfless teaching and making a difference in each other’s lives. Child-like Joy : We aspire to experience child-like joy in our work and lives, injecting a spirit of passion, optimism and laughter into everything that we do. Shoshin : We believe in a beginner’s mind. Don’t surround yourself with people like you--diversity breeds creativity. Stay Thirsty, My Friends : We believe in a totally internally-driven strive for greatness. The solution is to think more, not do more. Why You’ll Love It Here Our Attitude: We’ve created a new category from scratch and we continue to be the thought leader in Customer Success. Our Leadership: We offer the leading tech solution for driving Customer Success. Our ROI: Reduce customer churn, increase up-sell, and improve customer satisfaction. Our Technology: Our technology allows companies to drive retention and growth by delivering the value customers demand. Our Impact: In addition to helping companies grow, we’ve committed to $100 million in wage expansion for underrepresented groups over the next few years. Our Clients: Big companies like Box, Adobe, Marketo, and many others. Our Team: Our team is composed of innovative Customer Success thought leaders and experts in their field from various industries.

Role: Gen AI Engineer Exp: 5 to 8 yrs. Loc: Bangalore, Pune, Hyderabad NP: Immediate joiners, who can join in 30 days. Required Skills: Python, Large Language Models (LLM), Machine Learning (ML), Generative AI

Develop applications for investment management and trading/Valuation support using Python, React, SQL , FastAPI , and AWS and LLM Unit Testing Daily Scrums with client Required Candidate profile 5+ years of Python with Flask, FastAPI, etc. Experience with RestAPI development Hands on UI Development in React, Experience with cloud Azure/ AWS Experience with LLM /Langchain and DEvops

Customize Llama or leverage OpenAI to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Key points: Should have 2 years+ frontend development experience in building web applications Should be proficient in React, Next.js, Rest APIs, Tailwind css, Typescript Prior experience of dealing with serverless API (Lambda, Edge) is a bonus Experience of analysing performance through frontend monitoring platform Prior work with LLM/ML applications is a bonus. Mandatory Key Skills frontend development,Typescript*,Rest APIs*,Next.js*,Tailwind CSS*,LLM,Lambda,Machine Learning,React*,Serverless API

Mandatory Skills Strong proficiency in Generative AI, Large Language Models (LLMs), deep learning, agentic frameworks, and RAG setup. Experience in designing and implementing machine learning models using scikit-learn and TensorFlow. Hands-on expertise with AI/ML frameworks such as Hugging Face, LangChain, LangGraph, and PyTorch. Cloud AI services experience, particularly in AWS SageMaker and AWS Bedrock. MLOps & DevOps: Knowledge of data pipeline setup, Apache Airflow, CI/CD, and containerization (Docker, Kubernetes). API Development: Ability to develop and maintain APIs following RESTful principles. Technical proficiency in Elastic, Python, YAML, and system integrations. Nice to Have skills - Experience with Observability, Ansible, Terraform, Git, Microservices, AIOps, and scripting in Python. Familiarity with AI cloud services such as Azure OpenAI and Google Vertex AI.

Lead AI Architect: We are seeking a highly skilled AI Architect to lead our team in developing cutting-edge generative AI solutions. This role requires a deep understanding of AI/ML concepts, strong technical expertise, and exceptional leadership abilities. As the Lead AI Architect, you will be the technical authority responsible for defining the strategy, architecture, and execution of cutting-edge generative AI initiatives. You will lead a talented team, driving the development of innovative solutions from concept through production deployment. This role demands a deep understanding of state-of-the-art AI models, advanced techniques like Retrieval-Augmented Generation (RAG) and fine-tuning, robust MLOps practices, and scalable cloud deployment strategies Role & responsibilities 1. Technical Vision & Architecture: a. Define and champion the technical vision and architectural roadmap for generative AI solutions (LLMs, Diffusion Models, Multimodal Models, etc.). b. Design, architect, and guide the development of sophisticated generative AI systems, incorporating techniques like fine-tuning, prompt engineering, and Reinforcement Learning from Human Feedback (RLHF). c. Architect and implement advanced Retrieval-Augmented Generation (RAG) pipelines, including vector database selection/optimization, chunking strategies, and multimodal RAG approaches. d. Ensure solutions are scalable, performant, cost-effective, reliable, and adhere to responsible AI principles (fairness, transparency, security). e. Stay relentlessly current with academic research and industry advancements in generative AI, MLOps, and related technologies, integrating relevant innovations. 2. MLOps & Lifecycle Management: a. Lead the design and implementation of robust MLOps pipelines for the entire generative AI lifecycle: data ingestion/preprocessing, model training/fine-tuning, validation, versioning (data, code, models), automated deployment, and continuous monitoring. Job Opening b. Establish best practices for model evaluation, performance tracking, drift detection, and ongoing optimization of generative models in production. c. Champion automation, reproducibility, and governance across all AI/ML workflows. 3. Deployment & Integration: a. Oversee the deployment of fine-tuned models and complex AI systems into scalable production environments using cloud platforms (AWS, GCP, Azure, potentially NVIDIA AI Enterprise). b. Design and implement containerized deployments (Docker, Kubernetes) and serverless architectures for AI model serving. c. Develop robust APIs (RESTful, gRPC) for seamless integration of AI capabilities into broader applications and services. d. Optimize models for inference speed and cost efficiency. 4. Leadership & Collaboration: a. Lead, mentor, and inspire a team of AI/ML engineers and data scientists. b. Collaborate closely with product managers, software engineers, data engineers, and business stakeholders to translate requirements into actionable AI strategies and technical designs. c. Effectively communicate complex technical concepts, architectural decisions, and project status to both technical and non-technical audiences, including executive leadership. d. Foster a culture of innovation, experimentation, and continuous improvement within the AI team Preferred candidate profile : • Typically 8-10+ years of hands-on experience in designing, building, and deploying production-grade AI/ML systems, with a significant recent focus (3+ years) on Generative AI. • Generative AI Expertise: Deep understanding and practical experience with foundational models (e.g., GPT series, Llama series, Stable Diffusion, multimodal models), transformer architectures, and key techniques like fine-tuning, prompt engineering, and RAG. • RAG Proficiency: Proven experience architecting and implementing RAG systems, including familiarity with vector databases (e.g., Pinecone, Weaviate, Milvus, ChromaDB) and embedding techniques. • MLOps Mastery: Demonstrable experience designing, building, and managing end-to-end MLOps pipelines using relevant tools and platforms (e.g., MLflow, Kubeflow, Vertex AI Pipelines, SageMaker Pipelines, Azure ML). • Programming & Frameworks: Expert-level proficiency in Python and core AI/ML libraries/frameworks (e.g., PyTorch, TensorFlow/Keras, JAX, Hugging Face ecosystem, LangChain, LlamaIndex). • Cloud Platforms: Strong hands-on experience with at least one major cloud provider (AWS, GCP, Azure) and their associated AI/ML services (e.g., SageMaker, Vertex AI, Azure Machine Learning). • Deployment Skills: Experience with containerization (Docker, Kubernetes), API development (REST, gRPC), and model serving/optimization techniques. • Leadership: Proven track record of technical leadership, mentoring teams, and successfully delivering complex AI projects from ideation to production. • Communication: Excellent verbal and written communication skills, with the ability to articulate complex technical ideas clearly and concisely. • Methodologies: Familiarity with Agile development practices and version control systems (Git). • Education: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field. (PhD preferred but not required). Preferred Qualifications : • Education: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field. (PhD preferred but not required). • Experience with multimodal generative models and RAG. • Experience with distributed training and large-scale model optimization (e.g., quantization, pruning). • Familiarity with data engineering tools and platforms (e.g., Spark, Kafka, Airflow). • Contributions to relevant open-source projects or publications in top AI/ML venues.

Experience - 8 - 10 years Location - Bengaluru Key Responsibilities Design, implement, and maintain end-to-end MLOps pipelines for model training, validation, deployment, and monitoring. Build and manage LLMOps pipelines for fine-tuning, evaluating, and deploying large language models (e.g., OpenAI, HuggingFace Transformers, custom LLMs). Use Kubeflow and Kubernetes to orchestrate reproducible, scalable ML/LLM workflows. Implement CI/CD pipelines for ML projects using GitHub Actions , Argo Workflows , or Jenkins . Automate infrastructure provisioning using Terraform , Helm , or similar IaC tools. Integrate model registry and artifact management with tools like MLflow , Weights & Biases , or DVC . Manage containerization with Docker and container orchestration via Kubernetes . Set up monitoring , logging , and alerting for production models using tools like Prometheus , Grafana , and ELK Stack . Collaborate closely with Data Scientists and DevOps engineers to ensure seamless integration of models into production systems. Ensure model governance, reproducibility, auditability, and compliance with enterprise and legal standards. Conduct performance profiling, load testing, and cost optimization for LLM inference endpoints. Required Skills and Experience Core MLOps/LLMOps Expertise 5+ years of hands-on experience in MLOps/DevOps for AI/ML. 2+ years working with LLMs in production (e.g., fine-tuning, inference optimization, safety evaluations). Strong experience with Kubeflow Pipelines , KServe , and MLflow . Deep knowledge of CI/CD pipelines with GitHub Actions , GitLab CI , or CircleCI . Expert in Kubernetes , Helm , and Terraform for container orchestration and infrastructure as code. Programming & Frameworks Proficient in Python , with experience in ML libraries such as scikit-learn , TensorFlow , PyTorch , Hugging Face Transformers . Familiarity with FastAPI , Flask , or gRPC for building ML model APIs. Cloud & DevOps Hands-on with AWS , Azure , or GCP (preferred: EKS, S3, SageMaker, Vertex AI, Azure ML). Knowledge of model serving using Triton Inference Server , TorchServe , or ONNX Runtime . Monitoring & Logging Tools: Prometheus , Grafana , ELK , OpenTelemetry , Sentry . Model drift detection and A/B testing in production environments. Soft Skills Strong problem-solving and debugging skills. Ability to mentor junior engineers and collaborate with cross-functional teams. Clear communication, documentation, and Agile/Scrum proficiency. Preferred Qualifications Experience with LLMOps platforms like Weights & Biases , TruEra , PromptLayer , LangSmith . Experience with multi-tenant LLM serving or agentic systems (LangChain, Semantic Kernel). Prior exposure to Responsible AI practices (bias detection, explainability, fairness).

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Role and responsibilities: Implement and supervise execution of review plans that meet both our standards and project specific requirements. Recommend and drive best practices in review as a trusted advisor to both internal and external stakeholders. Communicate directly with counsel, client, and review team on substance and progress of review. Assist in development of matter-specific review project plans that address review workflow strategy and optimal application of technology. Establish review quality control measures and manage document review teams to ensure adherence to our playbook, execution of throughput goals & quality deliverables. Collaborate with our teams, including AI experts and data project managers. Consult on technology efficiency drivers for redaction application and privilege logging. Provide client- and case-specific subject matter expertise. Provide feedback, training, and direction to Review Associates and Senior Associates while building cohesion within the team. Participate in process improvement initiatives and other related duties as assigned. Required skills and experience: 5+ years of experience as a document review manager with a review provider or law firm Bachelors or Masters degree in law Experience managing document review projects for complex financial services and pharmaceutical clients preferred. Experience managing non-litigation projects like data breach of contract extraction review projects a plus. Ability to lead and motivate diverse attorney teams in completion of review workflows while adhering to established accuracy targets, project timelines, and budget parameters. Self-motivated, with strong sense of ownership and commitment to client satisfaction Knowledge of litigation discovery process and objectives Strong written and oral communication skills suited to a client-facing role, careful attention to detail, and general technical aptitude. Ability to manage competing priorities and work independently or as part of a team. Proficiency as an end user in Relativity, Brainspace, Blackout or comparable platforms Experience establishing matter-tailored quality control measures and managing reviews across a variety of discovery matters.

Skills: Excellent knowledge of Data Structures and Algorithms Great programming skills in Python Working knowledge C++ Experience in AI/ML, Data Science, CNN, RNN, LLM Classification, Clustering. Job Responsibilities: Designing and developing AI/ML algorithms to solve different technical problems in the domain of 3GPP. Explaining the designed data science algorithms clearly in document and presenting the same to support the innovation. Working in a team and share the responsibilities of integration, productisation and deployment.

We're hiring a Head of Engineering at Zonka Feedback . Own the Stack, Scale AI, Lead the Vision!! Company Profile: Zonka Feedback is a powerful, AI-driven customer experience (CX) and feedback platform that helps businesses capture feedback, measure, and improve customer satisfaction across various touchpoints, and drive strategic growth. With seamless integrations into major CRMs like Salesforce and HubSpot, Zonka Feedback empowers brands worldwide to listen to customer voices and make data-driven decisions through multi-channel feedback collection, advanced reporting, and AI insights. Get to know more about us at www.zonkafeedback.com We're building an AI-first SaaS platform that's redefining how feedback systems work and combines: Smart prompting and automation Seamless ML model integration and fine-tuning Rich analytics and actionable insights Scalable infra to handle millions of requests and third-party integrations Agentic, autonomous workflows Job Role: We are looking for a dynamic Head of Engineering to architect and build scalable, AI-powered systems using modern technologies including Node.js, Python, React, AWS, and Serverless frameworks. In this role, you will play a critical part in shaping our core product by integrating advanced AI/ML models and developing intelligent automation workflows. As a key technical leader, you will guide a lean team of engineers, drive high-impact architectural decisions, and ensure the reliability, security, and performance of our systems. Ideal candidates have 7 to 15+ years of software development experience, with deep expertise in full-stack development, cloud architecture, and AI/ML integration. They have a proven track record of leading teams in fast-paced SaaS or startup environments, along with hands-on experience working with large-scale datasets, vector databases, and advanced NLP and LLM technologies . Key Responsibilities: Drive the engineering vision and execution for Zonkas AI-first customer experience platform Build and integrate ML/NLP systems, including LLMs and vector databases Architect and develop scalable systems using Node.js, Python, React, AWS, and Serverless Design and implement AI-powered workflows and automation pipelines Optimize infrastructure, DevOps, CI/CD , monitoring, and cost efficiency Lead and mentor a lean team of engineers; drive hiring and performance Collaborate with product and design teams to execute the product roadmap Maintain high code quality, system reliability, and security Leverage modern tools like GitHub Copilot, WindSurfer, and Cursor to drive productivity Requirements: 7 - 15 years of hands-on software development including full-stack development and system architecture Strong background in NLP, ML, and deploying LLM-based solutions in production environments Skilled in prompt engineering and RAG architecture Experience working with large datasets, ElasticSearch, and vector databases Strong expertise in Node.js, Python, AWS, React and scalable systems architecture Prior experience building and leading engineering teams in SaaS or startup environments Ability to balance leadership, architecture, and hands-on coding Familiarity with DevOps, CI/CD, infrastructure monitoring, and security best practices Excellent problem-solving, communication, and team-building skills If this sounds like you, we are here to have the next talk. Share your resume on hr@zonkafeedback.com

Job Title: Junior Data Science Engineer AI/ML Experience Level: 1 to 2 years About the Role: We're looking for sharp, curious, and motivated junior data science engineers to join our innovation-driven team. In this role, you'll work alongside experienced engineers, data scientists, and product teams to prototype cutting-edge solutions involving AI agents, large language models (LLMs), and unsupervised learning techniques. You'll be exposed to end-to-end solution building from hypothesis to prototype to pilot in a collaborative, fast-paced environment where ideas move quickly from whiteboard to working system. What You’ll Do: Prototype AI agents using LLMs (e.g., OpenAI, Claude, Mistral, etc.) Explore and apply clustering and unsupervised learning methods (e.g., k-means, DBSCAN, topic modeling, dimensionality reduction) Develop proof-of-concept solutions and experiment with ideas across different domains Collaborate with cross-functional teams including ML engineers, product managers, and senior data scientists Analyze structured and unstructured data from various sources (APIs, databases, logs, documents, etc.) Continuously learn, test, and apply new advancements in the AI/ML space What We’re Looking For: Strong foundation in statistics, probability, and machine learning Solid understanding of unsupervised learning algorithms and their use cases Hands-on experience with clustering, anomaly detection, or dimensionality reduction Basic familiarity with LLMs and prompt engineering Proficiency in Python and libraries such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow Familiarity with building prototypes using Jupyter, Streamlit, or similar Growth mindset and a passion for experimentation and rapid learning Nice to Have: Exposure to AI agent frameworks (LangChain, AutoGen, CrewAI, etc.) Experience with API design or integration Familiarity with cloud platforms (AWS/GCP/Azure) Background in NLP, graph analysis, or time-series clustering

Required Skills 7+ years of professional Python development experience Hands-on experience with at least one agent framework (CrewAI, LangChain, LangGraph, or equivalent) Strong understanding of LLM capabilities, limitations, and prompt engineering Experience with RESTful API design and async Python (FastAPI preferred) Knowledge of vector databases and RAG (Retrieval Augmented Generation) systems Familiarity with financial or tax domains Demonstrated leadership in technical decision-making Excellent written and verbal communication skills Nice to Have Experience with AWS services, particularly Lambda and EKS Background in financial services or tax preparation software Knowledge of security and compliance requirements for financial data Previous startup experience, particularly in MVP development

Hiring for Randstad Client Looking for candidate's only from Finance, Accountancy, Economics educational background . What You Will Be Doing: 1. Creating High-Quality Content for Various AI Models: Develop conversational prompts and responses. Create generative prompts and responses. Write description prompts. Provide detailed descriptions of videos with or without audio. Summarize video content. Generate image captions. Create video event captions. 2. Evaluating Human or AI-Generated Prompt-Response Pairs: Score prompt-response pairs on multiple parameters and categories. Provide constructive feedback and suggest improvements where applicable. 3. Comparing and Rating Multiple AI-Generated Prompt-Response Pairs: Evaluate and score prompt-response pairs based on various parameters. Refine and enhance responses as needed. Required: Strong understanding of NLP concepts and techniques. Experience with large language models and AI systems. Excellent written and verbal communication skills, with a passion for language and storytelling. Ability to think creatively and solve problems, adapting to new challenges and priorities Strong analytical skills and attention to detail. Effective collaboration skills within a cross-functional team. 5 days working(Work from home) General shift Virtual Interview Interested candidate's share CV on p.preethi@randstad.in

Role & responsibilities Agentic AI Development : Work on building scalable multi-modal Large Language Model (LLM) based AI agents, leveraging frameworks such as LangGraph, Microsoft Autogen, or Crewai. AI Research and Innovation : Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs. Technical Expertise : Proficiency in a technology stack that includes Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, and React. LLM and NLP Experience : Hands-on experience working with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems. Dataset Development : Strong track record of building datasets for training and/or evaluating machine learning models. Customer Focus : Enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer. Adaptability : Thrive in a fast-paced environment and are excited about joining an early-stage venture. Model Deployment and Management : Automate model deployment, monitoring, and retraining processes. Collaboration and Optimization : Collaborate with data scientists to review, refactor, and optimize machine learning code. Version Control and Governance : Implement version control and governance for models and data. Preferred candidate profile Bachelor's degree in computer science, Software Engineering, or a related field 4-8 years of experience in MLOps, DevOps, or related roles Have strong programming experience and familiarity with Python based deep learning frameworks like Pytorch, JAX, Tensorflow Have strong familiarity and knowledge of machine learning concepts Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform Experience with experiment tracking and model versioning tools You have experience with technology stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect Familiarity with software testing and test automation practices Understanding of ethical considerations in machine learning deployments Strong problem-solving skills and ability to work in a fast-paced environment

About Role : A NASDAQ-listed company that has effectively maintained its position as the front-runner technology sector, is looking to onboard a skilled Python developer keen is helping them expand the power of AI in the mobile coding ecosystem with the ultimate goal of creating new assisting AI-powered tools for the development domain. The company is developing the next generation of coding assisting agents, which will have a wide range of uses. For those who are keen to learn in a fast-paced setting, this is an exciting opportunity. Responsibilities : - Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep. - Implement new features with a focus on memory safety, ownership rules, and type correctness. - Write and execute tests using cargo test, including property-based testing (proptest or quickcheck). - Refactor existing Rust code while maintaining functionality and performance. - Debug and fix memory safety, ownership, and concurrency-related issues. - Set up and manage Rust development environments using cargo, including handling dependencies and feature flags. - Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage. Requirements : - Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes. - Familiarity with Rust frameworks like Tokio, Actix, Rocket and libraries such as Serde and Rayon. - Experience with Rust's testing ecosystem, including unit, integration, and property-based testing. - Knowledge of multi-threading and asynchronous programming in Rust. - Ability to work with complex architectural patterns and refactor code without introducing regressions. - Strong debugging skills, including fixing memory and concurrency issues. - Experience with performance profiling and benchmarking in Rust (cargo bench). - 4+ years of work experience This role provides an opportunity to work on challenging Rust engineering problems while improving AI-assisted programming workflows. If you're passionate about Rust and eager to push the boundaries of AI-driven software development, we'd love to hear from you! Nice to Have : - Experience contributing to open-source Rust projects. - Familiarity with writing Rust documentation and designing APIs with doc-tests. - Search Guidance Mandatory Skills : Rust - 3 yrs, Rust Frameworks(Tokio, Actix, Rocket) - 3 yrs, Libraries(Serde and Rayon) - 3 years Nice To Have : Rust documentation and designing APIs with doc-tests. Total Years Of exp : 5+ years experience Overlap Required : 4 hours Pst Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Ensure compliance with Companies Act, SEBI LODR & Depositories Regulations Draft agendas, Minutes & support Board/Committee meetings Manage IPO and post-listing compliances Prepare and file e-forms with MCA; support audits and regulatory inspections Required Candidate profile CS with LLB/LLM and 2+ years of exp Coordinate with Directors; monitor legal updates & draft policies/SOPs Handle SEBI inspections & respond Stay updated on legal, regulatory changes Immediate Joiners

Backend Developer Experience: 1 - 3 Years Exp. Salary : INR 15-20 Lacs per annum Preferred Notice Period : Within 60 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, MicroServices, Rest APIs, LLM, Ai products, Amazon AWS, Cloud Services Good to have skills : Agent Orchestration, AI-powered SaaS, open-source projects, Prompt engineering Lyzr (One of Uplers' Clients) is Looking for: Backend Developer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description What Youll Do : Design and develop backend services that power GenAI applications and platforms Build APIs and infrastructure to support LLM-based features, tools, and agent workflows Collaborate with frontend, ML, and product teams to create seamless AI experiences Optimize backend systems for performance, scalability, and reliability Work with vector databases, data pipelines, and AI model endpoints (OpenAI, Anthropic, Hugging Face, etc.) Maintain clean, secure, and production-grade code Contribute to the architecture and roadmap of our GenAI stack What Were Looking For : 13 years of experience in backend development Proficient in Python Strong experience with REST APIs, microservices, and scalable cloud infrastructure Experience building or supporting GenAI applications and/or LLM-powered products Comfortable working with vector databases (e.g., Pinecone, Weaviate, FAISS) and RAG pipelines Exposure to cloud services (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Excellent problem-solving, communication, and collaboration skills Nice to Have Experience building and scaling AI-powered SaaS products Contributions to open-source GenAI projects Understanding of prompt engineering and agent orchestration frameworks Interview process : Technical Round Technical Round Techno-Managerial Round ( Face to Face in company office ) How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Lyzr Agent Studio is the only platform you need to create, deploy, and manage AI agents tailored for your business. Build smarter, faster, and scalable AI solutions in just a few clicks. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Title: GenAI Engineer (Senior/Lead) Industry: AI/ML, Enterprise Applications, Healthcare (if applicable) Overall Experience: 8 to 10 Years Immediate joiners Chennai is preferred( Anywhere in India ) Role Summary: Person with good Python coding and Generative AI solutions We are seeking an experienced GenAI Engineer to integrate LLM APIs, build AI-driven applications, optimize model performance, and deploy AI services at scale. The ideal candidate has expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration. Key Responsibilities: • AI Application Development: Build and maintain Python-based AI services using Lang Chain and CrewAI. Implement RAG-based retrieval and Agentic AI workflows. • LLM Integration & Optimization: Integrate OpenAI, Bard, Claude, Azure OpenAI APIs. Optimize API calls using temperature, top-p, max tokens, and reduce hallucinations using embedding-based retrieval (FAISS, Pinecone). • Model Evaluation & Performance Tuning: Assess AI models using Model Scoring, fine-tune embeddings, and enhance similarity search for retrieval-augmented applications. • API & Microservices Development: Design scalable RESTful API services. Secure AI endpoints using OAuth2, JWT authentication, and API rate limiting. • Cloud Deployment & Orchestration: Deploy AI-powered applications using AWS Lambda, Kubernetes, Docker, CI/CD pipelines. Implement Lang Chain for AI workflow automation. • Agile Development & Innovation: Work in Scrum teams, estimate tasks accurately, and contribute to incremental AI feature releases. Tech Stack & Tools: • AI/ML: PyTorch, TensorFlow, Hugging Face, Pinecone • LLMs & APIs: OpenAI, LangChain, CrewAI • Cloud & DevOps: AWS, Azure, Kubernetes, Docker, CI/CD • Security & Compliance: OAuth2, JWT, HIPAA Preferred Qualifications: • 8+ years of overall experience with a minimum of 4 years in AI/ML, LLM integrations, and enterprise cloud solutions. • Proven expertise in GenAI API orchestration, prompt engineering, and embedding retrieval. • Strong knowledge of scalable AI architectures and security best practices.

JD is below: Design, develop, and deploy generative AI based applications using AWS Bedrock. Proficiency in prompt engineering and RAG pipeline Experience in building Agentic Generative AI applications Fine-tune and optimize foundation models from AWS Bedrock for various use cases. Integrate generative AI capabilities into enterprise applications and workflows. Collaborate with cross-functional teams, including data scientists, ML engineers, and software developers, to implement AI-powered solutions. Utilize AWS services (S3, Lambda, SageMaker, etc.) to build scalable AI solutions. Develop APIs and interfaces to enable seamless interaction with AI models. Monitor model performance, conduct A/B testing, and enhance AI-driven products. Ensure compliance with AI ethics, governance, and security best practices. Stay up-to-date with advancements in generative AI and AWS cloud technologies. Required Skills & Qualifications: Bachelor's or Masters degree in Computer Science, AI, Machine Learning, or a related field. 3+ years of experience in AI/ML development, with a focus on generative AI. Hands-on experience with AWS Bedrock and foundation models. Proficiency in Python and ML frameworks. Experience with AWS services such as SageMaker, Lambda, API Gateway, DynamoDB, and S3. Experience with prompt engineering, model fine-tuning, and inference optimization. Familiarity with MLOps practices and CI/CD pipelines for AI deployment. Ability to work with large-scale datasets and optimize AI models for performance. Excellent problem-solving skills and ability to work in an agile environment. Preferred Qualifications: AWS Certified Machine Learning – Specialty or equivalent certification. Experience in LLMOps and model lifecycle management. Knowledge of multi-modal AI models (text, image, video generation). Hands-on experience with other cloud AI platforms (Google Vertex AI, Azure OpenAI). Strong understanding of ethical AI principles and bias mitigation techniques.

Role & responsibilities As a Data Scientist specializing in Generative AI and NLP , you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning : Apply state-of-the-art techniques like LoRA , PEFT , and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving : Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. Data-Driven Insights : Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration : Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. Client Engagement : Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation. What do we expect? Generative AI & NLP Expertise : Extensive experience in developing and deploying Generative AI applications and NLP frameworks , with hands-on knowledge of LLM fine-tuning , model customization , and AI-powered automation . Hands-On Data Science Experience : 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation : Deep knowledge of the latest developments in Generative AI and NLP , with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset : Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills : Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

Work Location: Chennai Experience: 3+ Years Please share your updated profile to sugantha.krishnan@acldigital.com Role & responsibilities Good experience in design and develop custom applications on the ServiceNow platform & Strong understanding in ServiceNow module ITSM. Proficiency in JavaScript / React / PowerShell Good experience in GenAI (OpenAI, Azure OpenAI, Llama, Prompt Engineering, RAG, Azure Agentic AI, LLMs ML, LLM.)

Role & Responsibilities: Must have experience in scrutiny and approval for title search reports, revenue records and online verification of records of land owing agencies. Providing advice to business on an acceptance of title search report/ property for creation of mortgage/ security. Advising team regarding of stamp duty requirements on each of the documents as per legal policy/ circular. Ensuring quality of report/ valuations by doing random check monthly as a part of legal review. Approval of legal deviations by analysing the risk involved vis a vis business requirement. Highlight the Risk while acceptation of collateral security and creation of mortgage over the property. Co-ordination and interaction with the external Lawyers for investigation of the title of the property and discuss the issues of the title and remedies before creation of security for faster TAT as and when raised. Drafting and vetting of non-standard drafts including, declaration and undertakings, NOCs, Affidavits etc. relating to the mortgage for security creation etc. Customizing the requirements of all different states for legal documentation, institutionalization and make branches aware and follow the same. Giving feedback and raising risk alerts in Updating/ modification of legal policies/ Operating guidelines. Appraisal of Project Files, a comprehensive due diligence about the project i.e. appraisal of title along with licenses and litigation etc. Advising on Enforcement of Securities Interest and to help in the litigation matters by giving necessary instructions, documents, etc as may be required by external advocates/solicitors from time to time. Drafting and structuring of various lending arrangements with builders. Experience in drafting of replies of legal notices, criminal complaints & handling of service-related customer issues. Providing training to credit, OPS and sales team about nuances of mortgage legal. Maintaining MIS/ keeping records of all the cases including legal deviation approvals and list of empanelled advocates etc. Experience in handling retail litigations including RERA, Consumer and disputes contained in criminal complaints etc. Education: LL.B. / LL.M Desired Experience: Minimum 5 to 10 years in the field Location: Mumbai Mald / Vikhroli CTC: Upto 12.5 LPA Regards, Pushpa Koli State HR Manager Retail Finance, DSMG & Operations Mob: 8657416676 Email: pushpa.koli@tatacapital.com