19 Llm Integration Jobs

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.

An Ideal Candidate: 5+ years in software development; 2+ years in AI tools/frameworks. Technical Skills: Python and .NET development. Multi-agent orchestration (e.g., semantic kernel, autogen). RAG techniques (e.g., GraphRAG). Expertise in Model Context Protocol (MCP). Experience around developing autonomous coding agents and research agents. Preferred Qualifications Experience with distributed systems and cloud-based AI architectures. Knowledge in NLP, knowledge graphs, and semantic reasoning. Experience with Azure DevOps and Azure Cloud Key Competencies: 1.Seeking an AI Developer with a software development background, expertise in AI tools, multi-agent orchestration frameworks, RAG techniques, and Model Context Protocol (MCP). Proficiency in Python, .NET, and hands-on experience with coding agents and research agents is preferable. 2. Responsibilities Build and optimize AI systems using semantic kernel, autogen, and multi-agent frameworks. Develop solutions leveraging retrieval-augmented generation (RAG), preferably GraphRAG. Integrate and optimize workflows using Model Context Protocol (MCP). Write scalable and maintainable code in Python and .NET. Design autonomous coding agents and research agents for problem-solving. 3.Research emerging AI tools and methods for practical application. 4.Debug, troubleshoot, and optimize AI systems for performance and reliability. Ref:JN-062025-794725

Job Summary: We are seeking a passionate and technically skilled AI / ML Engineer with 2+ years of hands-on experience in Computer Vision and Generative AI (GenAI). This role involves building and optimizing advanced visual intelligence systems leveraging PyTorch, OpenCV, transformers, and diffusion models. The ideal candidate will have experience in areas such as image segmentation, pose estimation, video inpainting, and synthetic data generation, along with exposure to LLM-prompt integration and datasets like DeepFashion2 and COCO. Key Responsibilities: Develop and deploy advanced computer vision models for tasks such as image segmentation, pose estimation, and video manipulation. Implement and experiment with Generative AI techniques, including diffusion models, GANs, and video inpainting. Leverage PyTorch, OpenCV, and modern deep learning frameworks to build scalable vision pipelines. Integrate LLM-based prompting into visual workflows and multimodal applications. Utilize datasets such as DeepFashion2, COCO, and custom synthetic datasets for model training and validation. Optimize model inference for performance, latency, and resource efficiency in production environments. Collaborate with data scientists, product engineers, and designers to deliver intelligent visual features in end-user applications. Qualifications: 2+ years of experience in machine learning and computer vision. Proficiency with PyTorch, OpenCV, and relevant deep learning libraries. Hands-on experience with image segmentation, pose estimation, or video-based vision tasks. Understanding of diffusion models, GANs, and transformer-based architectres. Knowledge of LLM prompt engineering and multimodal integration. Experience working with structured datasets like COCO and DeepFashion2. Strong debugging, analytical, and performance optimization skills. Preferred Qualifications : Experience in synthetic data generation and domain-specific data augmentation. Familiarity with model quantization, pruning, or other inference optimization techniques. Exposure to MLOps tools and cloud-based model deployment (e.g., AWS Sagemaker, GCP AI Platform). Contributions to open-source projects or published research in computer vision or generative models. Location: Pan- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Sr Applications Developer - (Full Stack Developer - AI Engineering Practice) BMC is looking for an experienced Full Stack Developer to join our team working on building and maintaining our Generative AI engineering and research platform. This position involves working with advanced AI technologies, balancing practical engineering implementation with innovative AI solutions, and ensuring code quality and functionality in our AI applications. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Design and develop full-stack applications using React (frontend) and Fast API (backend) Build and optimize LLM applications using Langchain and related frameworks Architect and maintain cloud-native applications on AWS EKS clusters Implement and optimize integrations with Bedrock services for LLM functionalities Develop and maintain AI pipelines using Python ML frameworks Manage and optimize databases (ex. PostgreSQL) in AWS RDS Integrate and maintain SSO solutions using OKTA Collaborate with AI researchers to implement and deploy ML models Design and develop RESTful APIs for AI service integration Implement secure and scalable cloud infrastructure using AWS services Lead technical design discussions and architecture reviews To ensure youre set up for success, you will bring the following skillset & experience: 5+ years of full-stack development experience Strong proficiency in React.js and modern JavaScript/TypeScript Expert-level Python development skills Experience with Python AI/ML frameworks: Langchain for LLM applications NumPy and Pandas for data manipulation Scikit-learn for ML implementations PyTorch or TensorFlow (preferred) Experience with Fast API framework Proven experience with AWS services, especially EKS and RDS Solid understanding of Kubernetes and container orchestration Experience with PostgreSQL and database optimization Knowledge of authentication systems and SSO implementation (OKTA preferred) Experience with CI/CD pipelines and DevOps practices Understanding of RESTful API design principles Whilst these are nice to have, our team can help you develop in the following skills: Experience with LLM integration and AI services Familiarity with AWS Bedrock or similar AI services Strong background in Python ecosystem: Hugging Face transformers Streamlet for AI applications Experience with vector databases (e.g., Pinecone, Chroma) Experience in prompt engineering and LLM optimization techniques Experience in implementing microservices architecture Experience with monitoring and observability tools Security best practices in cloud environments The ideal candidate will demonstrate full stack proficiency via past work samples, GitHub projects, whiteboarding sessions and a potential live coding test

Role Overview: We are looking BI + data-engineer kind of skills. The main work is to design & build complex Tableau dashboards, set up robust automated data pipelines and backend tables and do this in an optimized manner. There is also LLM integration into the dashboard, which will require some initiative and exploration. Automations + LLM integration would require some Python experience Job Description: Requirements 3+5 Years of experience in a product analytics, data analyst, or analytics product role Hands on experience in advanced SQL, python Advanced Tableau experience (Min 2yrs hands on experience in Tableau mandatory) Experience in LLM integration into the dashboard • Proven ability to support and improve analytical products that drive business decisions Roles and Responsibilities: Product Thinking & Ownership Product development exposure : Experience working on analytics or data products throughout the product lifecycle - from requirements to delivery. Prioritization skills : Can independently manage a backlog, help triage requests and contribute to roadmap planning. Analytical & Technical Proficiency Strong SQL skills : Can write and optimize queries to explore data and validate product behavior or outcomes. Data visualization : Comfortable building dashboards or reports in tools like Tableau Cross-functional skills : Experience working with product managers, analysts, and engineers to drive product outcomes. Comfort with data pipelines : Understands how data flows through systems; collaborates effectively with data engineers and analytics teams. Model consumption : Understands the basics of AI/ML model outputs and how they feed into products

Lead full product lifecycle: strategy launch iteration Define vision, roadmap and success metrics Collaborate with Engineering, Design, QA, and Marketing Leverage Gen AI, LLMs, and data modeling Proficient in Jira, Confluence, Figma, and SQL

Experience: 10 Years Work Type: Onsite Budget: As per market standards Primary Skills NodeJS 6+ years of hands-on backend development JavaScript / HTML / CSS Strong frontend development capabilities ReactJS / VueJS Working knowledge or project experience preferred AWS Serverless Architecture Mandatory (Lambda, API Gateway, S3) LLM Integration / AI Development Experience with OpenAI, Anthropic APIs Prompt Engineering Context management and token optimization SQL / NoSQL Databases Solid experience with relational & non-relational DBs EndToEnd Deployment Deploy, debug, and manage full-stack apps Clean Code Writes clean, maintainable, production-ready code Secondary Skills Amazon Bedrock Familiarity is a strong plus Web Servers Experience with Nginx / Apache configuration RAG Patterns / VectorDBs / AIAgents Bonus experience Software Engineering Best Practices Strong design & architecture skills CI/CD / DevOps Exposure Beneficial for full pipeline integration Expectations Own frontend and backend development Collaborate closely with engineering and client teams Build scalable, secure, and intelligent systems Influence architecture and tech stack decisions Stay up-to-date with AI trends and serverless best practices

Job Summary: We are seeking an experienced and forward-thinking AI Subject Matter Expert (SME) to lead the design, development, and integration of custom and commercial AI solutions. The ideal candidate will bring deep technical expertise, a passion for innovation, and a strategic mindset to drive impactful AI initiatives across the organization. Key Responsibilities: Custom AI Development: Design, build, and deploy tailored AI models and solutions that address specific business challenges and objectives. Commercial AI Integration: Evaluate, recommend, and implement commercial AI platforms and tools to enhance operational efficiency and business outcomes. Research & Innovation: Stay abreast of emerging AI technologies, trends, and research; identify opportunities to innovate and apply cutting-edge techniques. Advanced Data Analysis: Analyze complex datasets to uncover patterns, support model development, and inform decision-making. Cross-functional Collaboration: Partner with data scientists, software engineers, analysts, and business stakeholders to ensure seamless integration of AI solutions. Documentation & Knowledge Sharing: Create thorough documentation of models, algorithms, and development processes; contribute to organizational knowledge bases. Training & Support: Mentor team members and provide training sessions for stakeholders to build AI literacy and adoption across teams. Qualifications Education: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 6-9 years of hands-on experience in AI solution development and implementation, with a strong portfolio of successful projects . Technical Proficiency: Expertise in AI/ML frameworks such as TensorFlow, PyTorch, Keras. Strong programming skills in Python (preferred), R, and experience with data tools such as SQL and Pandas. Familiarity with deploying models in production environments . Analytical & Problem-Solving Skills: Ability to interpret complex data, design intelligent systems, and develop actionable insights . Communication: Strong written and verbal communication skills, capable of translating complex concepts for non-technical audiences . Project Management: Demonstrated ability to lead AI projects end-to-end from planning to deployment and performance monitoring . Adaptability: Comfortable working in a dynamic, fast-paced environment with evolving business needs.