34 Llm Integration Jobs

Job Title: AI/ML Engineer Experience: 4 To 8 Years Location: Bangalore Key Responsibilities Design, build, and optimize AI/ML solutions for enterprise applications. Develop Generative AI applications with workflows such as RAG Build and deploy AI agents using frameworks like LangGraph, Crew, or PydanticAI . Implement LLM integration and optimize Prompt Engineering workflows (Eg ., GPT, Claude, LLaMA). Collaborate with cross-functional teams to integrate AI solutions into production systems. Utilize Databricks, REST APIs, WebSockets, and event-driven architectures for scalable deployments. Ensure adherence to SDLC best practices, CI/CD pipelines (Jenkins), and Git-based workflows. Leverage AI-augmented development tools for rapid prototyping. Knowledge of enterprise security, compliance, and governance in AI systems. Familiarity with model lifecycle and code management best practices . Required Skills 35 years of experience in Machine Learning/Artificial Intelligent. Experience in Generative AI application development. Strong proficiency in Python and modern software development practices. Hands-on experience with LLMs and prompt engineering . Experience in cloud-native deployment strategies . Strong understanding of agile methodologies and collaborative development . Exposure to MLOps/LLMOps workflows and model monitoring .

DESCRIPTION We are seeking an experienced Senior Software Development Engineer to serve as a technical leader in our new Bangalore organization, architecting the next generation of AI-powered seller support systems. As a founding senior engineer, you will shape the technical direction of our platform while mentoring teams and establishing engineering excellence. You will drive the technical architecture of our intelligent support platform, designing and implementing scalable solutions to enhance our customer experience. Your work will directly impact Amazon's ability to transform its seller support experience, consolidating various tools into a unified, AI-powered platform serving large seller base globally. This role presents a unique opportunity to shape the technical foundation of a new organization while solving complex problems at Amazon scale. The ideal candidate combines deep technical expertise with leadership abilities and a passion for mentoring engineers. Success in this role means delivering architecturally sound solutions that can scale to Amazon's needs while establishing technical practices that will serve as the foundation for our growing organization. Key job responsibilities . Lead the technical architecture for major components of our AI platform, including LLM integration, intelligent routing systems, and automated response generation . Design scalable and resilient distributed systems that can handle Amazon's global seller support volume . Drive technical decisions across multiple teams, ensuring system cohesion and engineering excellence . Establish architectural patterns and best practices for AI/ML system implementation . Create technical roadmaps for complex multi-quarter initiatives . Mentor SDEs and SDMs, raising the technical bar for the organization . Partner with senior leadership to translate business requirements into technical solutions . Lead design reviews and architecture discussions across teams BASIC QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 8+ years of non-internship professional software development experience - 8+ years of programming with at least one software programming language experience - Experience as a mentor, tech lead or leading an engineering team - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

As a Senior AI Engineer at Uplevyl, you will play a crucial role in leading the design and deployment of AI-powered, agentic workflows that drive the future of personalized insights. Your main focus will be on vector search, retrieval-augmented generation (RAG), and intelligent automation, collaborating closely with full-stack engineers and product teams to bring scalable GenAI features into production. Key Responsibilities: - Design and implement RAG pipelines for semantic search, personalization, and contextual enrichment. - Build agentic AI workflows using Pinecone, LangChain/LangGraph, and custom orchestration. - Integrate LLM-driven features into production systems, balancing innovation with scalability. - Architect and optimize vector databases (Pinecone, FAISS, Milvus) for low-latency retrieval. - Work with structured/unstructured datasets for embedding, indexing, and enrichment. - Collaborate with data engineers on ETL/ELT pipelines to prepare data for AI applications. - Partner with backend and frontend engineers to integrate AI features into user-facing products. - Participate in Agile ceremonies (sprint planning, reviews, standups). - Maintain clear documentation and support knowledge sharing across the AI team. Required Qualifications: - 5+ years in AI/ML engineering or software engineering with applied AI focus. - Hands-on experience with RAG pipelines, vector databases (Pinecone, FAISS, Milvus), and LLM integration. - Strong background in Python for AI workflows (embeddings, orchestration, optimization). - Familiarity with agentic architectures (LangChain, LangGraph, or similar). - Experience deploying and scaling AI features on AWS cloud environments. - Strong collaboration and communication skills for cross-functional teamwork. Tech Stack: - AI Tools: Pinecone, LangChain, LangGraph, OpenAI APIs (ChatGPT, GPT-4/5), HuggingFace models - Languages: Python (primary for AI workflows), basic Node.js knowledge for integration - Cloud & DevOps: AWS (Lambda, S3, RDS, DynamoDB, IAM), Docker, CI/CD pipelines - Data Engineering: SQL, Python (Pandas, NumPy), ETL/ELT workflows, Databases (Postgres, DynamoDB, Redis) - Bonus Exposure: React, Next.js Preferred Skills: - Experience with embedding models, HuggingFace Transformers, or fine-tuning LLMs. - Knowledge of compliance frameworks (GDPR, HIPAA, SOC 2). - Exposure to personalization engines, recommender systems, or conversational AI.,

Role & responsibilities We are hiring an AI/ML Developer (India), to join our India team, in support of a large global client! You will be responsible for developing, deploying, and maintaining AI and machine learning models. Your expertise in Python, cloud services, databases, and big data technologies will be instrumental in creating scalable and efficient AI applications. What You Will Be Doing Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering. Implement AI-based solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn. Work with cloud platforms including AWS (SageMaker, Lambda, S3), Azure, and Google Cloud (Vertex AI). Integrate and fine-tune Hugging Face transformer models (e.g., BERT, GPT) for NLP tasks such as text classification, summarization, and sentiment analysis. Develop AI automation solutions, including chatbot implementations using Microsoft Teams and Azure AI. Work with big data technologies such as Apache Spark and Snowflake for large-scale data processing and analytics. Design and optimize ETL pipelines for data quality management, transformation, and validation. Utilize SQL, MySQL, PostgreSQL, and MongoDB for database management and query optimization. Create interactive data visualizations using Tableau and Power BI to drive business insights. Work with Large Language Models (LLMs) for AI-driven applications, including fine-tuning, training, and deploying model for conversational AI, text generation, and summarization. Develop and implement Agentic AI systems, enabling autonomous decision-making AI agents that can adapt, learn, and optimize tasks in real-time. What You Bring Along 2+ years of experience applying AI to practical uses. Strong programming skills in Python, SQL, and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Knowledge of basic algorithms and object-oriented and functional design principles Proficiency in using data analytics libraries like Pandas, NumPy, Matplotlib, and Seaborn. Hands-on experience with cloud platforms such as AWS, Azure, and Google Cloud. Experience with big data processing using Apache Spark and Snowflake. Knowledge of NLP and AI model implementations using Hugging Face and cloud-based AI services. Strong understanding of database management, query optimization, and data warehousing. Experience with data visualization tools such as Tableau and Power BI. Ability to work in a collaborative environment and adapt to new AI technologies. Strong analytical and problem solving skills. Preferred candidate profile Bachelors degree in computer science, Data Science, AI/ML, or a related field.

Role Responsibilities: Lead development and deployment of generative AI tools and systems Drive adoption of AI solutions for specific business use cases Manage team goals, performance, and cross-functional collaboration Evaluate and integrate open-source tech for internal AI enablement Job Requirements: Bachelor's or Master's in Computer Science or related field Proven GAI project experience and Python proficiency Minimum 1 year team management experience Preferred: GAI certifications, global team exposure, finance domain familiarity

You are a skilled AI Engineer with 3 to 6 years of experience in LLM integration, platform observability, performance optimization, and API development. Your primary responsibility will involve enhancing critical platform features, including LLM API integrations, observability pipelines, structured search algorithms, and performance scaling for the AI platform and related components. You must have a minimum of 3 to 6 years of experience in AI/ML engineering or platform development. Previous exposure to AI observability or model evaluation pipelines will be beneficial. Your knowledge should include Agentic AI frameworks, multi-step reasoning systems, and programming languages like Python (mandatory) and Node.js/Java (desirable). Your expertise in AI/ML Integration is crucial, with hands-on experience in LLM APIs such as OpenAI and Vertex AI. Understanding observability and logging practices with tools like Splunk, OpenTelemetry (OTel), and Arize AI is necessary. Proficiency in Testing & CI/CD using tools like Postman, PyTest, and Docker Compose is expected. Exposure to structured search techniques using technologies like Neo4j, LightRAG, and Graph DBs is advantageous. You should be familiar with memory profiling, performance optimization, and scaling techniques. Strong knowledge of Cloud Platforms such as GCP (Vertex AI), Azure, or AWS is preferred. Experience with collaboration tools like GitHub, Jira, and Confluence will be an added advantage. If you meet these requirements and are passionate about AI engineering, this role offers a challenging opportunity to work on cutting-edge AI technologies.,

As the Global Content Experience Company, Hogarth partners with many of the world's top brands to deliver engaging and measurable content across various channels and media. With a team of over 7,500 experts, we aim to navigate the ever-changing landscape of content experience by combining creativity, production, and innovation. WPP, our parent company, is a creative transformation firm dedicated to building better futures through the power of creativity. With a global network of talented individuals, WPP operates in over 100 countries and is a leader in marketing services with strong AI, data, and technology capabilities. We are currently seeking an Agentic Architecture Lead to drive the design and evolution of architectural foundations for agentic systems - intelligent, goal-driven agents capable of autonomous decision-making and collaboration. The ideal candidate will be responsible for creating scalable, modular, and adaptive architectures that facilitate multi-agent coordination, autonomy, and integration in complex environments. Key Responsibilities: - Lead the design and evolution of agentic system architectures for distributed, intelligent agents. - Define standards, principles, and patterns for agent autonomy, communication, and coordination. - Collaborate cross-functionally with AI/ML, product, infrastructure, and security teams. - Architect frameworks to support multi-agent orchestration, goal alignment, memory, and reflection. - Establish best practices for safe, explainable, and trustworthy agent behavior. - Guide teams in integrating LLMs, symbolic reasoning, and RL/ML pipelines into agent systems. - Ensure the architecture supports scalability, extensibility, and performance in real-time environments. - Contribute to internal tools that monitor and optimize agentic behavior and system health. - Provide architectural mentorship to engineering teams and review critical design decisions. Requirements: Must-Have: - 8+ years in software architecture, including 3+ in autonomous systems, AI agents, or similar. - Strong experience with multi-agent systems, LLM integration, or cognitive architectures. - Expertise in designing event-driven, service-oriented, or microservice architectures. - Proficiency in at least one major programming language (e.g., Python, Go, Java, Rust). - Strong communication and leadership skills with a systems thinking mindset. Nice-to-Have: - Knowledge of agent simulation environments, e.g., OpenAI Gym, Unity ML-Agents. - Familiarity with concepts like Theory of Mind, recursive self-improvement, or agent modeling. - Experience with knowledge graphs, embeddings, vector databases, and memory architectures. - Exposure to safe AGI alignment or human-AI interaction frameworks. Academic Qualifications: - Bachelors degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field required. - Masters degree or Ph.D. in Artificial Intelligence, Cognitive Science, Machine Learning, Systems Engineering, or a closely related discipline preferred. - Proven academic or research exposure to autonomous agents, multi-agent systems, or intelligent architectures is a strong advantage. WPP is an equal opportunity employer committed to fostering a culture of respect and inclusivity. We value diversity and provide equal opportunities for all individuals to progress in their careers.,

We are currently organizing an in-person recruitment drive for individuals with Data Science expertise in Pune and Bangalore on 31st May 2025. We are in search of a skilled and experienced GenAI Developer to become part of our expanding data competency team. The ideal candidate should possess a solid background in working with GEN AI, ML, LangChain, LangGraph, GenAI Architecture Strategy, and Prompt engineering. Your main responsibilities will involve collaborating closely with our data analysts, engineers, and business units to ensure the optimal performance, scalability, and availability of our data pipelines and analytics. As a Data Science professional, you will be located in either Pune or Bangalore, depending on your preference. The desired experience for this role ranges from 4 to 12 years, and it is a full-time employment opportunity. Your primary duties will include seeking a Machine Learning Engineer proficient in Langchain, ML modeling, and MLOps to construct and implement production-ready AI systems. You will design and deploy ML models and pipelines, develop intelligent applications using Langchain & LLMs, and establish MLOps workflows for training, deployment, and monitoring to ensure model reproducibility and scalability. The expertise you are expected to bring to this position includes proficiency in Python, Scikit-learn, TensorFlow/PyTorch, Langchain, LLM integration, MLOps tools (MLflow, Kubeflow, DVC), Docker, Git, CI/CD, and Cloud platforms like AWS/GCP/Azure. In return for your contributions, we offer a competitive salary and benefits package, along with a culture that emphasizes talent development through quarterly promotion cycles, company-sponsored higher education, and certifications. You will have the opportunity to work with cutting-edge technologies and participate in employee engagement programs such as project parties, flexible work hours, Long Service awards, annual health check-ups, and comprehensive insurance coverage for yourself, spouse, children, and parents. At Persistent Ltd., we are committed to creating an inclusive work environment that celebrates diversity and fosters equal opportunities for all individuals. We encourage applications from qualified candidates with disabilities and from diverse backgrounds, irrespective of gender or gender preference. Our hybrid work options, flexible hours, and accessible facilities aim to accommodate various needs and preferences, ensuring a supportive workplace for all employees. If you have specific requirements due to disabilities, please inform us during the application process or at any time during your employment. We are dedicated to providing an inclusive environment where every employee can thrive and succeed. Persistent promotes a values-driven and people-centric work culture that enables employees to grow both professionally and personally, make a positive impact using the latest technologies, engage in collaborative innovation, and explore global opportunities to learn and work alongside industry experts. Join us at Persistent and unlock your full potential. We are an Equal Opportunity Employer that upholds a zero-tolerance policy against discrimination and harassment of any form.,

Machine Learning Automation Expert Job Location - Pune Need Only Immediate Joiner Need Expertise in :- AI Integration LLM Integration C# AI Agent Development Share your resume @ vikram@marvelplacements.com Call @ 9873363633 Required Candidate profile Share your resume @ vikram@marvelplacements.com Call @ 9873363633

Software Engineer - AI Solutions Taskus | Full-Time| Responsibilities Design and implement AI-powered features using LLMs and other machine learning models Develop proof-of-concepts and MVPs to demonstrate AI capabilities to stakeholders Optimize LLM performance including prompt engineering, response latency, and cost efficiency Design and maintain agent-oriented LLM pipelines that autonomously plan, reason, and invoke external tools to complete end-to-end business tasks Implement evaluation frameworks and monitoring systems for deployed AI solutions Collaborate with Product Managers to translate client requirements into technical specifications Ensure code quality, security, and scalability in production environments Document technical implementations and create deployment guides for client teams Minimum qualifications Bachelor's degree in Computer Science or equivalent practical experience 3+ years of software engineering experience Strong proficiency in Python and modern web frameworks (FastAPI, Flask, Django) Experience with REST APIs and microservices architecture Understanding of cloud platforms (AWS, Azure, or GCP) Excellent problem-solving and debugging skills Preferred qualifications Experience integrating LLM APIs (OpenAI, Anthropic, Google Vertex AI) Hands-on experience developing and deploying agentic or multi-agent LLM architectures in real-world workstreams Familiarity with vector databases (Pinecone, Weaviate, ChromaDB) Knowledge of prompt engineering and LLM fine-tuning techniques Experience with containerization (Docker, Kubernetes) Background in client-facing or professional services roles Understanding of ML model deployment and monitoring

As a Backend Engineer for our team, you will be a key player in the development of cutting-edge Agentic AI platforms. Your primary responsibility will be to design and implement scalable backend systems that empower autonomous AI agents to seamlessly integrate with enterprise systems and data platforms. You will have the opportunity to work with a diverse team of AI researchers, data scientists, and frontend developers on exciting technologies such as LLMs, multi-agent orchestration, prompt engineering, and real-time adaptive learning systems. Your main tasks will include designing, developing, and maintaining modular and scalable components for autonomous software agents. You will be expected to integrate backend services with modern LLM frameworks like LangChain, LangGraph, and CrewAI. Additionally, you will develop APIs, microservices, and orchestration pipelines to manage multi-agent workflows and contribute to business process automation and CRM integration. You will work closely with enterprise platforms such as Salesforce, Power Platform, and Microsoft Copilot Studio, fine-tuning large and small language models using proprietary datasets, especially from NBFC domains. Furthermore, you will collaborate with the AI teams on model evaluation and optimization pipelines using GCP, BigQuery, and related tools. Your role will also involve developing lightweight learning frameworks that enhance user interactions and implementing real-time models and rules-based decision engines for adaptive automation. You will work on features that enable agents to self-improve over time based on historical performance and results. To excel in this role, you must be proficient in Python and Node.js, with a working knowledge of JavaScript, Java, or React. Familiarity with technologies such as LangChain, LangGraph, Semantic Kernel, CrewAI, Agent Development Kit (ADK), and Multi-agent Communication Protocol (MCP) will be advantageous. Experience with RESTful APIs, WebSockets, Express.js, FastAPI, Microservice architecture, GCP, MS Azure, BigQuery, Power Apps, Power BI, CI/CD tools, containerization (Docker, Kubernetes), prompt engineering, model orchestration, LLM integration, and SQL/NoSQL databases is essential for success in this role. Join our team and be part of building the next generation of AI platforms that revolutionize the way businesses harness the power of artificial intelligence.,

As a Senior Systems Integrator Lead, you will play a crucial role in spearheading the integration of cutting-edge LLM solutions with diverse enterprise systems. Your responsibilities will include designing and overseeing complex integration strategies, mentoring and guiding development teams, and remaining hands-on in architecting, building, and deploying integration solutions. You will establish and enforce integration standards, development workflows, and quality assurance processes while optimizing LLM integration performance and integrating multi-modal AI into existing business workflows. Your expertise in systems integration, AI integration, and architecture will be instrumental in implementing complex integration solutions using APIs, message queues, ETL/ELT pipelines, and event-driven architectures. You will design and maintain microservices-based integration layers, architect cloud-native solutions, and ensure secure and efficient data flow between systems. Additionally, you will be responsible for building front-end applications using React.js, designing and implementing RESTful and GraphQL APIs, and implementing real-time features for AI interactions. Collaboration with cross-functional teams, technical documentation creation, and knowledge sharing sessions will also be key aspects of your role. To be successful in this role, you should have 6-8+ years of systems integration experience with 2+ years in technical leadership roles. You must possess deep experience in LLM integration, Generative AI implementations, and AI/ML pipeline development. Proficiency in LLM integration expertise, integration technologies, cloud platforms, React.js, database integration, DevOps, monitoring, software architecture, security, compliance, and performance engineering is essential. Strong technical communication skills, problem-solving abilities, and adaptability in fast-paced environments are also required. Preferred qualifications include experience with vector databases, semantic search implementations, prompt engineering frameworks, AI agent architectures, enterprise software integration, infrastructure-as-code, and AI/ML product development or consulting. In summary, as a Senior Systems Integrator Lead, you will bring technical expertise, leadership skills, strategic thinking, a hands-on mentality, and an innovation mindset to tackle the most complex integration challenges and drive cutting-edge AI integration patterns.,

You have 5+ years of backend or full-stack development experience, including a minimum of 3 years specializing in Generative and Agentic AI. Your expertise lies in creating APIs utilizing REST, GraphQL, and gRPC, emphasizing on performance, versioning, and security. Proficiency in Python is required, with additional knowledge in TypeScript/Node.js, Go, or Java. You should possess a deep understanding of LLM integration and orchestration (OpenAI, Claude, Gemini, Mistral, LLaMA, etc.). Moreover, you must have hands-on experience with frameworks like LangChain, LlamaIndex, CrewAI, and Autogen. Familiarity with vector search, semantic memory, and retrieval-based augmentation tools such as FAISS or Qdrant is preferred. A solid grasp of cloud infrastructure (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes) is also essential for this role.,

ResourceDekho is a trusted provider of business solutions, IT services, and resource outsourcing, driving digital transformation for organizations worldwide. Our offerings include infrastructure & cloud management, monitoring & logging solutions, digital transformation, software development, and web development. We deliver exceptional results by tailoring our solutions to meet specific needs, ensuring seamless integration, enhanced performance, and unmatched efficiency. Connect with our team of experts and explore how Resourcedekho can empower your organization to thrive in the digital era. This is a full-time on-site role for a Lead Software Engineer - Product for a client located in Mohali district. The Lead Software Engineer will be responsible for overseeing product development, leading a team of software engineers, and ensuring high-quality software delivery. Day-to-day tasks include collaborating with cross-functional teams, managing product lifecycle, conducting data analytics, and implementing business analysis. The role also requires strong communication skills to effectively coordinate with stakeholders and team members. Lead the technical architecture design and roadmap planning. Collaborate with the Product Manager to ensure technical solutions align with business goals. Design and develop core platform modules like automation, chat assignment, analytics, and multi-agent features. Define and enforce best practices, coding standards, and documentation. Evaluate and integrate AI/LLM models, automation tools, and modern technologies. Ensure performance, security, and scalability of product deployments. Support QA and Customer Success teams in issue resolution and root cause analysis. Drive code reviews, technical discussions, and timely delivery of features. Document APIs, architecture, troubleshooting steps, and internal tools. Mentor junior developers, promote learning, and help grow technical capabilities across the team. Continuously monitor system performance and suggest optimizations. Bachelors degree in Computer Science, IT, or related field. Minimum 5+ years in software engineering, with at least 2+ years in a technical leadership role. Strong expertise in MEAN/MERN stack technologies. Solid experience in system design, product architecture, and low-level technical planning. Backend API development and UI integration experience. Familiarity with AWS, Docker, Kubernetes, and cloud-native environments. Understanding of AI/ML concepts and LLM integration. Version control tools: GitHub/GitLab. Project management tools: Notion or similar. Strong analytical and leadership skills. Passion for mentoring and growing engineering teams. Proactive and collaborative mindset.,

About Salesforce: At Salesforce, we are known as the Customer Company, leading the future of business by combining AI, data, and CRM technologies. We are committed to helping companies in various industries innovate and connect with customers in new and meaningful ways. As a Trailblazer at Salesforce, you are encouraged to drive your performance, chart new paths, and contribute to the betterment of our world. If you believe in the power of business as a force for positive change and in the importance of businesses doing well while also doing good, then you have found the right place to thrive. About the Role: The company is currently looking for a Forward Deployed Engineer - Deployment Strategist to fill a crucial hybrid position that combines technical expertise with strategic problem-solving skills. In this role, you will be responsible for deploying AI-powered solutions on the Salesforce platform with a focus on driving business impact and adoption. As a trusted advisor, you will bridge the gap between customer requirements and product innovation to ensure long-term success and value realization. You will lead a team of Forward Deployed Engineers, oversee deployments, foster collaboration, set goals, and address challenges. Additionally, you will play a key role in connecting customer needs with product development, providing field insights to influence enhancements and accelerate the product roadmap, thereby keeping the Agentforce platform at the forefront of AI solutions. A successful Forward Deployed Engineer - Deployment Strategist will have a deep understanding of our customers" most complex problems and will be adept at crafting and deploying innovative solutions that leverage our Agentforce platform and beyond. Your Impact: Strategic Solution Architecture & Design: Lead the analysis, design, and hands-on implementation of intelligent AI-powered agents within Salesforce environments, utilizing a range of technologies including Agentforce, Data Cloud, Flow, Lightning Web Components (LWC), Apex, and Salesforce APIs. Translate complex business challenges into actionable technical requirements and strategic deployment plans. AI & Data Mastery for Impact: Take ownership of the end-to-end data landscape, creating robust data models, developing efficient processing pipelines, and establishing seamless integration strategies. Employ advanced AI orchestration frameworks and engineering techniques to build sophisticated conversational AI solutions that optimize data for AI applications. Full-Lifecycle Deployment & Optimization: Oversee the successful deployment of solutions, ensuring seamless integration with existing customer infrastructure. Continuously monitor performance, identify bottlenecks, and implement optimizations to enhance reliability, scalability, and security. Entrepreneurial Execution & Rapid Prototyping: Operate with a mindset focused on rapid prototyping, iterative development, and timely delivery of impactful solutions. Adapt quickly to evolving customer priorities and technical challenges in dynamic environments. Trusted Technical & Strategic Partner: Collaborate closely with client teams to understand their operational challenges and strategic objectives. Act as a primary technical advisor, providing expert guidance and presenting results that drive measurable value and adoption. Product Evolution & Feedback Loop: Act as a crucial feedback loop between customers and internal product/engineering teams to influence future product enhancements. Provide insights that shape the strategic direction of the platform and contribute to broader product improvements. Business Process Transformation: Analyze existing business processes and identify automation opportunities through intelligent agents. Guide customers through process transformation and reengineering to drive efficiency and effectiveness. Team Leadership in Deployment Execution: Lead a team of peers in executing deployment initiatives, providing technical guidance, promoting collaboration, and ensuring successful project delivery. Required Qualifications: - 5+ years of hands-on experience in solutioning, including design, implementation, and testing of cloud-based technologies - Proficiency in Salesforce platform components like Flow, Lightning Web Components (LWC), and Salesforce APIs - Hands-on experience with AI/LLM technologies - Strong background in data modeling, processing, integration, and analytics with expertise in data platforms - Exceptional problem-solving skills in unstructured environments - Demonstrated entrepreneurial spirit and focus on customer impact - Excellent communication and collaboration skills - Proven team leadership experience - Prior customer-facing experience in a technical role - Willingness to travel as needed Preferred Qualifications: - Experience with Salesforce Data Cloud and/or Agentforce platform - Background in developing conversational AI solutions in regulated industries - Proficiency in programming languages like JavaScript, Java, Python, or Apex - Salesforce platform certifications - Knowledge of Salesforce CRM components - Experience with AI/ML concepts beyond LLMs - Bonus points for deploying solutions in customer environments,

You will be part of a team that is developing an enterprise-grade, AI-powered agentic platform for the recruitment industry. Your role as a technical Co-Founder (CTO) will involve leading the development journey and defining the technical vision and architecture of the product from the ground up. Your responsibilities will include: - Defining and executing the technology strategy, roadmap, architecture, and infrastructure for a scalable, secure, and high-performing platform. - Leading hands-on development of the core platform, including AI agent integration, workflow automation, and data interaction layers. - Architecting and implementing LLM-based agentic features using tools like LangChain, OpenAI APIs, RAG pipelines, and vector databases. - Hiring, managing, and mentoring a high-performing engineering team across frontend, backend, ML, and DevOps. - Designing systems to handle large datasets, including data pipelines, analytics, and secure storage solutions. - Overseeing CI/CD pipelines, cloud infrastructure, monitoring, and cost-optimized deployments using AWS/GCP/Azure. The ideal candidate will have: - Proven experience in building and scaling enterprise-level web or mobile apps, preferably from 0 to 1. - Strong skills in Python/Django or Node.js, and modern JS frameworks such as React or Vue. - Deep experience with LLM integration, AI frameworks like LangChain and LlamaIndex, and vector databases like Pinecone and FAISS. - Solid understanding of database architecture, distributed systems, and API-first product development. - Past experience in leading or managing engineering teams. - Experience working in or co-founding an early-stage startup (preferred but not mandatory). Nice to have qualifications include: - Experience with multi-agent orchestration platforms like AutoGen, CrewAI, or AutoGPT. - Exposure to SaaS security, compliance, and data governance. - Knowledge of MLOps and deployment of AI models in production.,

The role involves working on Agentic AI Platform Delivery where you will be responsible for developing and maintaining autonomous software agents using modern LLM frameworks. You will also be required to build reusable components for business process automation, design agent orchestration, prompt engineering, and LLM integrations, as well as enable deployment across CRM systems and enterprise data platforms. Additionally, you will work on Generative AI & Model Optimization by fine-tuning LLMs/SLMs with proprietary NBFC data, and focusing on model distillation, quantization, and edge deployment readiness. Moreover, you will be creating self-learning systems by developing adaptive frameworks that learn from interaction outcomes and implementing lightweight models to support real-time decision-making. The ideal candidate for this position should hold a B.E./B.Tech/M.Tech degree in Computer Science or a related field, with a minimum of 3-7 years of experience in AI/ML roles. Proficiency in languages such as Python, Node.JS, JavaScript, React, and Java is required, along with experience in using tools/frameworks like LangChain, Semantic Kernel, LangGraph, and CrewAI. Familiarity with platforms such as GCP, MS Foundry, Copilot Studio, BigQuery, and Power Apps/BI is essential. Knowledge of Agent Tools like Agent Development Kit (ADK) and Multi-agent Communication Protocol (MCP), as well as a strong understanding of prompt engineering, LLM integration, and orchestration, are also expected. In addition to the technical requirements, the candidate should possess strong communication skills, teamwork abilities, and problem-solving capabilities. Being proactive, detail-oriented, and able to work under pressure are desirable traits for this role. Joining this dynamic team at Bajaj Finance Limited offers numerous perks, benefits, and a vibrant work culture. The company values its employees and recognizes their contributions, making it a rewarding and challenging environment to grow and excel. With a presence in over 500 locations across India, you will have the opportunity to be part of one of Asia's top 10 Large workplaces and contribute to the success and innovation of a leading Non-banking financial company.,

The company TSC Redefines Connectivity with Innovation and Intelligence by driving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services, and Network services. Tata Communications envisions a New World of Communications. As a visionary and execution-oriented Senior Manager, you will lead customer-centric projects focused on AI-powered and Autonomous Network Solutions across wireless (4G/5G), wireline (fiber, broadband), and Fixed Wireless Access (FWA) domains. Your role will involve connecting business strategy, technical innovation, and operational delivery to ensure customer success through intelligent network transformation. Your responsibilities will include: - Leading end-to-end engagement for AI-enabled, closed-loop autonomous network solutions across various technologies. - Translating customer requirements into delivery roadmaps featuring AI/ML models, LLM prompting, network self-healing, and predictive analytics. - Overseeing deployment of automation use cases like alarm correlation, anomaly detection, traffic prediction, and zero-touch optimization. - Partnering with sales, product, and pre-sales engineering teams to design scalable, AI-driven solutions for wireless and wireline networks. - Managing cross-functional delivery of multi-technology engagements, tracking timelines, budgets, and outcomes using Agile methodologies. - Acting as the primary interface with customers for project delivery, status updates, and solution expansion discussions. - Championing the use of generative AI, prompting, and large language models for automation and proactive network management. - Collaborating with internal teams to evolve the service portfolio across wireless, wireline, and converged network domains. Qualifications: - Bachelor/Master's degree in Telecommunications, Computer Science, Data Science, or related fields. - 15+ years of experience in telecom network services with 5+ years in AI/automation leadership roles. - Strong understanding of 4G/5G, FWA, and wireline network technologies. - Expertise in AI/ML, prompt engineering, automation scripting, and analytics tools. - PMP, Agile, or relevant delivery certifications preferred. Key Skills: - AI/ML in Network Optimization - Prompt Engineering and LLM Integration - Autonomous Wireless/Wireline Network Architectures - FWA Deployment and Analytics - RF and Fiber Network Planning and Performance - Customer Engagement and Technical Pre-Sales - Automation Frameworks and Closed Loop Operations - Program Management and Cross-Functional Leadership,

We are seeking a talented LLM & Backend Engineer to join our AI innovation team at EaseMyTrip.com and contribute to the development of intelligent travel experiences. As a part of this role, you will be responsible for integrating and optimizing Large Language Models (LLMs) to create conversational travel agents that can provide personalized recommendations and assistance to travelers across various platforms. Your work will involve a combination of backend system integration, AI model implementation, and natural language understanding to introduce smart automation into every travel interaction. Your key responsibilities will include: - Deploying and integrating LLMs such as GPT-4, Claude, and Mistral to process natural language queries and offer tailored travel suggestions. - Designing optimized prompts and implementing Retrieval-Augmented Generation (RAG) workflows to enhance contextual relevance in multi-turn conversations. - Developing robust conversational workflows capable of handling complex travel scenarios like booking modifications and cancellations. - Tuning models and workflows to achieve the right balance between performance, scalability, latency, and cost in diverse environments. - Building scalable backend services using FastAPI or Django, focusing on secure and efficient API architectures. - Designing and managing data using PostgreSQL or MongoDB, and implementing ORM solutions like SQLAlchemy for seamless data interaction. - Deploying solutions on cloud platforms such as AWS, GCP, or Azure using containerized and serverless tools like Lambda and Cloud Functions. - Fine-tuning open-source and proprietary LLMs using techniques like LoRA and PEFT, and evaluating outputs using metrics like BLEU, ROUGE, or similar. - Developing NLP functionalities including named entity recognition, sentiment analysis, and dialogue state tracking. - Collaborating closely with AI researchers, frontend developers, and product teams to deliver impactful features rapidly and iteratively. The ideal candidate should have: - Minimum 2 years of experience in backend development with at least 1 year of hands-on experience working with LLMs or NLP systems. - Proficiency in Python with practical exposure to asynchronous programming and frameworks like FastAPI or Django. - Experience with tools and libraries such as LangChain, LlamaIndex, Hugging Face Transformers, and OpenAI/Anthropic APIs in the LLM ecosystem. - Strong understanding of relational and NoSQL databases, including schema design and performance optimization. - Familiarity with prompt design, LLM fine-tuning (LoRA, PEFT), and evaluation metrics for language models. - Comfort with cloud platforms (AWS/GCP/Azure) and proficiency in building serverless or containerized deployments. - Solid grasp of NLP concepts including intent detection, dialogue management, and text classification. - Problem-solving skills to translate business challenges into AI-centric solutions with a user-centric approach. - Strong communication skills and a collaborative mindset to work effectively with multidisciplinary teams. - Passion for staying updated on AI advancements and leveraging emerging technologies to create innovative travel experiences.,

As an experienced and driven Product Lead Engineer, you will be responsible for leading the technical architecture design and roadmap planning. Your role will involve collaborating with the Product Manager to ensure that technical solutions align with business goals. You will design and develop core platform modules such as automation, chat assignment, analytics, and multi-agent features. It will also be your responsibility to define and enforce best practices, coding standards, and documentation. Furthermore, you will evaluate and integrate AI/ML models, automation tools, and modern technologies to enhance product capabilities. Ensuring the performance, security, and scalability of product deployments will be crucial. You will provide support to QA and Customer Success teams in issue resolution and root cause analysis. Conducting code reviews, technical discussions, and ensuring timely delivery of features will also be part of your responsibilities. Additionally, documenting APIs, architecture, troubleshooting steps, and internal tools will be essential. You will mentor junior developers, promote learning, and contribute to growing technical capabilities across the team. Continuously monitoring system performance and suggesting optimizations will be key to enhancing product efficiency. To qualify for this role, you should have a Bachelor's degree in Computer Science, IT, or a related field and a minimum of 5+ years of experience in software engineering, with at least 2+ years in a technical leadership position. Your technical skills should include strong expertise in MEAN/MERN stack technologies, system design, product architecture, and low-level technical planning. Backend API development, UI integration experience, and familiarity with AWS, Docker, Kubernetes, and cloud-native environments are required. Understanding AI/ML concepts, LLM integration, version control tools like GitHub/GitLab, and project management tools such as Notion or similar are also essential. In addition to technical skills, you should possess strong analytical and leadership skills, a passion for mentoring and growing engineering teams, and a proactive and collaborative mindset. This role offers you the opportunity to work on a fast-growing, high-impact SaaS product, lead technical initiatives that shape the user experience, be part of a talented and collaborative tech team, and enjoy a flexible and innovation-friendly work culture. If you meet the qualifications and are available to join immediately or within one week, this Full-time Product Lead Engineer position based in Mohali, Punjab could be the next step in your career.,

As an AI Developer/Lead, you will be responsible for leading the development and implementation of AI-powered solutions to enhance nonprofit operational efficiency. Your role will involve technical leadership and hands-on development, driving aggressive 6-week implementation cycles and a multi-modal development approach. Your key responsibilities will include: - Leading technical design and architecture decisions for AI applications across all classification categories - Overseeing PoC development, bug fixes, iteration, and production builds - Implementing and maintaining open-source AI foundations such as Llama, Haystack, and LlamaGuard - Designing and managing synthetic data pipelines for training and analytics - Ensuring deployment and go-live support for all AI applications In terms of development strategy execution, you will: - Drive accelerated creation using AI-powered development tools like Replit, Windsurf, and Cursor for rapid prototyping - Manage the complete development lifecycle from initial AI-assisted development to production deployment - Collaborate with a global contributor network through GitHub - Integrate OSINT information into research and analytics workflows Your application development focus areas will include: - Basic automation for meeting reports, eCourts monitoring, and administrative workflows - Developing custom data management platforms to replace Excel-based systems - Building specialized LLM chatbots with domain knowledge across multiple functions - Implementing multi-modal tracking solutions for image, video, audio, and location data - Using ML/NLP tools for hotspot prediction, translation services, and investigative tools - Developing compliance applications with automated DPDP and regulatory adherence - Integrating cybersecurity with secure communication frameworks Required qualifications for this role include: - 5+ years of experience in AI/ML development and deployment - Proficiency in Python, JavaScript, React, and modern AI frameworks - Experience with LLM integration, fine-tuning, and safety models - Hands-on experience with inference engines and API integration - Strong background in server deployment and infrastructure management - Experience with AI-assisted development tools, open-source development, and GitHub collaboration - Proven ability to deliver production applications in aggressive timelines - Experience working with distributed international teams across multiple time zones Preferred qualifications include experience with multi-modal AI applications, knowledge of cloud-based inference services and self-hosted model deployment, and DevOps experience with server management and deployment automation.,

As a Data Analytics focused Senior Software Engineer at PubMatic, you will be responsible for developing advanced AI agents to enhance data analytics capabilities. Your expertise in building and optimizing AI agents, along with strong skills in Hadoop, Spark, Scala, Kafka, Spark Streaming, and cloud-based solutions, will play a crucial role in improving data-driven insights and analytical workflows. Your key responsibilities will include building and implementing a highly scalable big data platform to process terabytes of data, developing backend services using Java, REST APIs, JDBC, and AWS, and building and maintaining Big Data pipelines using technologies like Spark, Hadoop, Kafka, and Snowflake. Additionally, you will design and implement real-time data processing workflows, develop GenAI-powered agents for analytics and data enrichment, and integrate LLMs into existing services for query understanding and decision support. You will work closely with cross-functional teams to enhance the availability and scalability of large data platforms and PubMatic software functionality. Participating in Agile/Scrum processes, discussing software features with product managers, and providing customer support over email or JIRA will also be part of your role. We are looking for candidates with three plus years of coding experience in Java and backend development, solid computer science fundamentals, expertise in developing software engineering best practices, hands-on experience with Big Data tools, and proven expertise in building GenAI applications. The ability to lead feature development, debug distributed systems, and learn new technologies quickly are essential. Strong interpersonal and communication skills, including technical communications, are highly valued. To qualify for this role, you should have a bachelor's degree in engineering (CS/IT) or an equivalent degree from well-known Institutes/Universities. PubMatic employees globally have returned to our offices via a hybrid work schedule to maximize collaboration, innovation, and productivity. Our benefits package includes paternity/maternity leave, healthcare insurance, broadband reimbursement, and office perks like healthy snacks, drinks, and catered lunches. About PubMatic: PubMatic is a leading digital advertising platform that provides transparent advertising solutions to publishers, media buyers, commerce companies, and data owners. Our vision is to enable content creators to run a profitable advertising business and invest back into the multi-screen and multi-format content that consumers demand.,

You are an experienced professional with over 10 years of total experience, seeking a new opportunity to showcase your expertise in Python, LLM integration, and GenAI development workflows. Your strong knowledge in prompt engineering, vector databases, retrieval-augmented generation (RAG), and toolchains sets you apart. You have hands-on experience with Agentic AI and Open AI, as well as agent frameworks like LangChain Agents, Semantic Kernel, Haystack, or custom-built agents. Your proven track record includes leading LLM/GenAI projects from Proof-of-Concept to Production, showcasing your deep understanding of modern data workflows including ingestion, transformation, cataloguing, validation, and analytics. Collaboration is key for you, as you have the ability to work across engineering, product, and governance teams. Experience with enterprise data products, MLOps, or DataOps platforms, as well as familiarity with governance workflows and metadata-driven automation, are part of your skill set. Your responsibilities will include understanding clients" business use cases and technical requirements to create elegant technical designs, mapping decisions with requirements, identifying the best solutions, and defining guidelines and benchmarks for NFR considerations during project implementation. You will be responsible for writing and reviewing design documents, reviewing architecture and design, ensuring best practices are followed, and developing overall solutions for functional and non-functional requirements. To excel in this role, you should have a Bachelor's or Master's degree in computer science, Information Technology, or a related field. Your excellent communication and collaboration skills will be essential as you resolve issues raised during code/review and carry out POCs to validate suggested designs and technologies. Join us at Nagarro and be part of a dynamic and non-hierarchical work culture where your expertise will be valued and your contributions will make a difference.,

5+years of fullstack development experience using React, Node.js, Python, and associated technologies 3+years designing and building AI and agent systems leveraging frameworks like LangChain, AutoGen, etc. Handson experience in AI research, intelligent automation, model evaluation, safety testing frameworks, and enforcing AI governance best practices Proven LLM integration skills across OpenAI, Claude, Gemini, and opensource models Proficient in containerization (Docker), CI/CD pipelines, Kubernetes, and managing cloudbased AI services (AWS/GCP/Azure) Deep technical understanding of transformer architectures, embeddings, and vector databases like Pinecone and Weaviate Experience using AI observability and monitoring tools such as LangFuse and Datadog Demonstrated ability to architect and deliver intelligent fullstack AI applications from prototype to production Expertise in building autonomous agents and orchestrating multiagent systems for endtoend workflows Strong track record of deploying robust, productiongrade solutions on AWS, GCP, or Azure with AI governance, performance testing, and safety validation Location : Hyderabad/Bangalore

Job Summary: We are seeking a visionary and hands-on AI Architect with 8+ years of experience in designing and deploying AI-driven systems, including Generative AI (GenAI), LLM integration, computer vision, and agentic workflows. This role demands deep technical expertise in transformer models, PyTorch, and tools such as Stable Diffusion, ControlNet, and LangChain, as well as a strong grasp of dataset strategy, bias mitigation, and scalable AI system architecture. Experience with e-commerce or fashion datasets is a strong plus. Key Responsibilities: Architect and lead the development of AI/ML systems, with a focus on Generative AI, including diffusion models, GANs, and LLMs. Implement and optimize models such as Stable Diffusion, ControlNet, and OpenPose for real-world use cases in visual content generation. Design LLM-integrated solutions using LangChain, agentic workflows, and multimodal AI systems. Collaborate with cross-functional teams to define dataset strategy, ensuring data relevance, diversity, and quality. Integrate Hugging Face Transformers and PyTorch-based architectures into production environments. Define and implement best practices around bias & fairness, model explainability, and ethical AI design. Lead architectural decisions for scalable AI platforms, focusing on performance, reliability, and continuous learning capabilities. Leverage domain knowledge in e-commerce/fashion for visual understanding, recommendation, or personalization solutions. Qualifications: 8+ years of experience in AI/ML system architecture, including 3+ years specifically in Generative AI and LLM ecosystems. Proficiency in PyTorch, Transformers, Hugging Face, and LangChain. Deep understanding of diffusion models, GANs, ControlNet, and OpenPose. Experience in designing agentic AI workflows, real-time inference systems, and production-grade AI infrastructure. Proven track record in dataset creation/curation, bias analysis, and fairness optimization. Strong communication skills and the ability to translate complex AI concepts into business impact. Preferred Qualifications : Prior experience with e-commerce, fashion technology, or retail-based AI datasets. Contributions to open-source AI frameworks or publications in relevant research areas. Familiarity with cloud AI services (e.g., AWS Sagemaker, Azure AI, or GCP Vertex AI). Understanding of AI observability, versioning, and model governance. Location - Pan India, Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune.