679 Langchain Jobs - Page 4

You are a Gen AI Senior Software Engineer with over 5 years of experience, specializing in Generative AI and Large Language Models (LLMs). Your main responsibility is to design, develop, and implement GenAI solutions tailored to address business challenges, utilizing your expertise in Python for AI/ML solutions. Your key technical skills include proficiency in Python programming, hands-on experience in Retrieval-Augmented Generation (RAG) and familiarity with Vector Databases. It would be beneficial if you have experience in React.js and are open to learning new skills and technologies. In this role, you will be responsible for designing and implementing scalable GenAI solutions using Python, leading the architecture of AI-driven solutions, and developing customized solutions using Large Language Models (LLMs) for various applications. You will also create AI models for text and speech data, optimize AI model performance using similarity search algorithms, and build conversational chatbots using advanced NLP techniques. Furthermore, you will utilize vector databases to store and manage data for AI applications, implement Retrieval-Augmented Generation (RAG) pipelines, develop and maintain ETL pipelines for efficient data flow, and conduct experiments to evaluate AI model performance. You will also ensure that AI solutions comply with data privacy, security, and ethical standards while contributing to front-end development using React.js to create user-friendly interfaces for AI applications. Soft skills required for this role include adaptability to work in an agile environment, excellent presentation skills to engage with business users, and the ability to provide expert advice to resolve project issues and ensure client satisfaction.,

As a seasoned fullstack developer, you will be responsible for leading the development of various products while leveraging your expertise in AI/ML and market & website analytics. Your role will be pivotal in the creation of intelligent platforms and driving data-informed decisions. You will lead the fullstack development of products, with a preference for utilizing technologies such as Node.js, React/Angular, and MongoDB/PostgreSQL. Additionally, your role will involve building and integrating AI-powered features like NLP, predictive analytics, and recommendation systems. Analyzing data from tools like Google Analytics, Mixpanel, and Amplitude will be crucial, along with developing dashboards and data visualizations to support marketing and product teams. Collaboration with designers, data engineers, and product managers will be essential to align technological developments with business strategies. You will take ownership of product performance and conversion metrics, conducting regular audits and implementing improvements based on evaluations of user behavior, funnels, and attribution data. To excel in this role, you must possess strong fullstack capabilities including JavaScript, Node.js, React/Angular, APIs, and databases. Practical experience in AI/ML frameworks such as Python, TensorFlow, and Hugging Face, along with proficiency in website analytics, user behavior tracking, and A/B testing, are required. Experience in building or integrating marketing analytics systems and the ability to generate meaningful insights from data for stakeholders are crucial aspects of this position. Knowledge of SEO, CRO, and performance optimization best practices will also be beneficial. In summary, this role offers an exciting opportunity for a skilled fullstack developer to contribute to the development of intelligent platforms, drive data-informed decisions, and collaborate with cross-functional teams to ensure alignment with business objectives.,

As a Senior Python Engineer at our company, you will leverage your deep expertise in data engineering and API development to drive technical excellence and autonomy. Your primary responsibility will be leading the development of scalable backend systems and data infrastructure that power AI-driven applications across our platform. You will design, develop, and maintain high-performance APIs and microservices using Python frameworks such as FastAPI and Flask. Additionally, you will build and optimize scalable data pipelines, ETL/ELT processes, and orchestration frameworks, ensuring the utilization of AI development tools like GitHub Copilot, Cursor, or CodeWhisperer to enhance engineering velocity and code quality. In this role, you will architect resilient and modular backend systems integrated with databases like PostgreSQL, MongoDB, and Elasticsearch. Managing workflows and event-driven architectures using tools such as Airflow, Dagster, or Temporal.io will be essential, as you collaborate with cross-functional teams to deliver production-grade systems in cloud environments (AWS/GCP/Azure) with high test coverage, observability, and reliability. To be successful in this position, you must have at least 5 years of hands-on experience in Python backend/API development, a strong background in data engineering, and proficiency in AI-enhanced development environments like Copilot, Cursor, or equivalent tools. Solid experience with Elasticsearch, PostgreSQL, and scalable data solutions, along with familiarity with Docker, CI/CD, and cloud-native deployment practices is crucial. You should also demonstrate the ability to take ownership of features from idea to production. Nice-to-have qualifications include experience with distributed workflow engines like Temporal.io, background in AI/ML systems (PyTorch or TensorFlow), familiarity with LangChain, LLMs, and vector search tools (e.g., FAISS, Pinecone), and exposure to weak supervision, semantic search, or agentic AI workflows. Join us to build infrastructure for cutting-edge AI products and work in a collaborative, high-caliber engineering environment.,

Short Description Description About Oracle Customer Success Services Oracle University & the Role It is an exciting time to be part of Oracle Customer Success Services (CSS) Oracle University. As Oracle continues to rapidly introduce new products and enhancements, our focus is on delivering world class training solutions for next-generation AI capabilities that automate and revolutionize business processes across industries. The Fusion Cloud Applications Product Management Team within Oracle University is instrumental in setting the learner journey direction aligned to the innovative Fusion Cloud Applications AI initiative , and we are seeking a highly skilled, visionary Solution Lead with deep expertise in Oracle Fusion Cloud Applications and AI-driven solutions. This unique opportunity blends technical leadership, consulting, enablement, curriculum strategy, and hands-on innovation. You will shape, deliver, and educate on practical, scalable AI and AI Agent solutions that empower customers and Oracle partners to leverage leading AI capabilitieswhile translating the latest Oracle Fusion Cloud Application AI innovations into actionable training and enablement resources. Responsibilities Key Responsibilities AI Training Strategy and Design Lead the design and deployment of Oracle Fusion Cloud (ERP, HCM, SCM, CX) solutions by building and integrating the latest AI/ML innovations from Oracles evolving cloud portfolio into innovative training solutions. Consult closely with product development on the end-to-end implementation of practical AI agent applications, ensuring alignment with business objectives and industry best practices to include in OU training catalog. Serve as a subject matter expert and technical advisor, guiding customers and systems integrator partners on effectively implementing, tailoring, and operationalizing AI agent templates via OU training catalog. Advisory, & Best Practice Development Engage directly with Product Development to define training requirements, use cases, and desired AI outcomestranslating these needs into hands-on, deployable technical training solutions. Document and curate AI agent best practices, use cases, and lessons learned, elevating OU learners understanding and adoption of AI-powered enterprise solutions. Provide actionable feedback to CSS OU teams based on real-world AI agent deployments and customer interactions to continually evolve and enhance training. Partner & Customer Enablement: Training and Curriculum Leadership Act as an AI evangelist and enablement leaderdesign, develop, and continuously update comprehensive training curriculum and enablement resources focused on Oracle Fusion Cloud Applications AI capabilities for Oracle partners and customers. Proactively track and evaluate new Oracle Fusion Cloud AI features and innovations, translating advancements into high-impact internal and external enablement programs, workshops, documentation, and learning content. Innovation, Collaboration & Continuous Improvement Collaborate cross-functionally with Oracle product development and curriculum teams to innovate and refine agent-based cloud solutions, remaining hands-on and current in advanced AI and analytics trends. Lead continuous process and content improvement by gathering and analyzing stakeholder feedback, iterating training materials and curriculum as Oracles AI portfolio advances. Use project management and analytics tools to transparently track deliverables, monitor program and curriculum success, and measure overall business impact. Required Qualifications Bachelors or Masters degree in Computer Science, Software Engineering, Advanced Analytics, Information Systems, or a related STEM field. Experience working directly with customers, partners, and sales teams to deliver tailored technical solutions and advisory services Strong background in computer science, technical solution engineering, or advanced analytics. Understanding of RAG (Retrieval-Augmented Generation) techniques is required. Experience in designing and building AI multi-agent solutions for business environments is a plus Has built and deployed enterprise applications, including experience in solution engineering, building functional and/or technical demonstrations, consulting, or software development. Hands-on experience implementing scalable AI systems is desired though not required. Ability to understand, clarify, and translate functional/business requirements into practical, viable training solutions Experience leading Oracle Fusion Cloud Application implementations (ERP, HCM, SCM, CX) focusing on AI and enterprise innovation Demonstrated hands-on experience architecting, building, and deploying enterprise-class cloud and AI/ML solutionsparticularly within Oracle Fusion Cloud and/or analogous ERP, HCM, SCM, CX platforms. Expertise in the design of functional/technical curriculum and enablement material. Proficiency with frameworks such as Flowise, CrewAI, Relevance AI, Langchain, or AutoGen. Ability to consult, advise, and collaborate directly with enterprise customers, SI partners, and Oracle sales teams to deliver tailored, high-impact AI and cloud solutions. Outstanding communication skills (oral, written, and presentation), strong analytical and critical thinking skills, and the ability to proactively solve complex problems. Experience working in a fast-paced, dynamic software/cloud environment. Preferred Qualifications Oracle Cloud Architect and/or relevant Functional certifications. Experience enabling Oracle partners/customers in deploying and adopting AI or automation-driven cloud solutions. Previous involvement in change management and user adoption programs for enterprise systems. Knowledge of hybrid and multi-cloud architectures. Show more Show less

About the Role We are seeking a BI Architect to advise the BI Lead of a global CPG organization and architect an intelligent, scalable Business Intelligence ecosystem. This includes an enterprise-wide KPI dashboard suite augmented by a GenAI-driven natural language interface for insight discovery. The ideal candidate will be responsible for end-to-end architecture: from scalable data models and dashboards to a conversational interface powered by Retrieval-Augmented Generation (RAG) and/or Knowledge Graphs. The solution must synthesize internal BI data with external (web-scraped and competitor) data to deliver intelligent, context-rich insights. Key Responsibilities • Architect BI Stack : Design and oversee a scalable and performant BI platform that serves as a single source of truth for key business metrics across functions (Sales, Marketing, Supply Chain, Finance, etc.). • Advise BI Lead : Act as a technical thought partner to the BI Lead, aligning architecture decisions with long-term strategy and business priorities. • Design GenAI Layer : Architect a GenAI-powered natural language interface on top of BI dashboards to allow business users to query KPIs, trends, and anomalies conversationally. • RAG/Graph Approach : Select and implement appropriate architectures (e.g., RAG using vector stores, Knowledge Graphs) to support intelligent, context-aware insights. • External Data Integration : Build mechanisms to ingest and structure data from public sources (e.g., competitor websites, industry reports, social sentiment) to augment internal insights. • Security & Governance : Ensure all layers (BI + GenAI) adhere to enterprise data governance, security, and compliance standards. • Cross-functional Collaboration : Work closely with Data Engineering, Analytics, and Product teams to ensure seamless integration and operationalization. Qualifications • 69 years of experience in BI architecture and analytics platforms, with at least 2 years working on GenAI, RAG, or LLM-based solutions. • Strong expertise in BI tools (e.g., Power BI, Tableau, Looker) and data modeling. • Experience with GenAI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector databases (e.g., Pinecone, FAISS, Weaviate). • Knowledge of graph-based data models and tools (e.g., Neo4j, RDF, SPARQL) is a plus. • Proficiency in Python or relevant scripting language for pipeline orchestration and AI integration. • Familiarity with web scraping and structuring external/third-party datasets. • Prior experience in CPG domain or large-scale KPI dashboarding preferred.

We are looking for an experienced Solution Architect in Generative AI to lead the design and delivery of enterprise-grade GenAI solutions across Azure and Google Cloud platforms. This is a full-stack leadership role requiring deep technical expertise and the ability to guide teams through end-to-end project execution. Key Responsibilities: Lead architecture for GenAI projects: LLMs, embeddings, RAG, prompt engineering, agent frameworks. Define scalable designs across full-stack: React, Node.js, .NET Core, C#, Cosmos DB, SQL/NoSQL, vector DBs. Implement Azure/GCP cloud-native solutions using AKS, GKE, Functions, Pub/Sub. Drive CI/CD automation via GitHub Actions, Azure DevOps, Cloud Build. Conduct architecture/code reviews and enforce security, DevSecOps, and performance standards. Translate business requirements into technical solutions and communicate with senior stakeholders. Mentor engineering teams and promote innovation, collaboration, and agile delivery. Required Skills: Generative AI, LLMs, Prompt Engineering, LangChain, RAG, C#, .NET Core, React, Node.js, Azure, Google Cloud, AKS, GKE, Terraform, CI/CD, Cosmos DB, BigQuery, Microservices, DevSecOps, API Gateway Qualifications: Bachelors in Computer Science or Engineering (Master’s in AI/ML preferred) Strong leadership, communication, and stakeholder management skills Apply Now: shrishtispearhead1@gmail.com Contact: +91 8299010653

looking for GenAI support. WORK FROM HOME

Handson exp with LLM-based solution experience using OpenAI, Gemini, etc. Must have skills in fine-tuning, RAG, agents, vector DBs (ChromaDB, FAISS, Pinecone), LangChain, Hugging Face, TensorFlow, PyTorch. 1-2 GenAI implementations & 2+ yrs in ML/DL.

5+ years of experience in Deep Learning, including CNNs, RNNs, Transformers 2–3 years of experience in Generative AI,Proficient in Python, PyTorch, TensorFlow & Cloud platforms (AWS/GCP/Azure). Hugging Face, OpenAI APIs, LangChain, Weights & Biases.

Full Stack Engineer (Python, Conversation Text AI) Exp 4 - 7 yrs Location: Pune Full stack Developer with AI/ML experience 2+ YOE in Backend development using Python and Node.JS 1+ YOE in Frontend skills - JavaScript and HTML /CSS

Backend Engineer (Python, Node Js, Agentic AI) Exp : 3 - 7 yrs Location: Pune Min 3 yrs exp in Backend developer exposure to AI/ML Min 2+ yrs exp in backend development using Python and Node.js For JD, write to amit.gaine@talentxo.in

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.,

Job Description: As an AI Engineer Intern at Brainwonders, you will have the exciting opportunity to work in cutting-edge fields like Large Language Models (LLMs), AI Agents, ML Fundamentals, and Cloud Deployment with a focus on AWS. This internship is designed for individuals with 0-1 year of experience, including final-year students and freshers. The position is based in Borivali East, Mumbai, and offers the possibility of a full-time offer upon successful completion of the internship. Your primary responsibilities will include building and testing LLM-based applications and workflows, experimenting with agent frameworks such as LangGraph and CrewAI, and utilizing transformer models like LLaMA and Mistral for domain-specific tasks. Additionally, you will deploy models and services on AWS using tools like Lambda, EC2, and SageMaker, and collaborate on prompt engineering, fine-tuning, and pipeline optimization. To excel in this role, you should have a solid understanding of LLMs, tokenization, and transformers, along with proficiency in Python programming using libraries like Pandas, NumPy, Hugging Face, and LangChain. Exposure to AWS services like EC2, Lambda, S3, or SageMaker is essential, as well as a strong eagerness to explore real-world AI use cases such as agents, copilots, and RAG-based systems. Basic knowledge of machine learning and hands-on project experience will be advantageous. It would be beneficial if you have experience with serverless deployments on AWS, familiarity with monitoring and logging tools like CloudWatch and OpenTelemetry, and a track record of contributing to open-source AI tools or models. This internship offers a unique opportunity to work with a dynamic team and gain valuable experience in the field of artificial intelligence. Thank you for considering Brainwonders as your next career destination.,

You will be joining a company that is renowned for its technical excellence and leading innovations. NTT DATA is committed to making a difference to clients and society while embracing diversity and inclusion in the workplace. It is a place where you can grow, belong, and thrive. As a Senior AI/GenAI Engineer at NTT DATA, your key responsibilities will include designing, developing, and deploying cutting-edge AI/GenAI models and solutions for various industries. You will utilize technologies such as TensorFlow, PyTorch, LangChain, Vellum, etc., on non-cloud infrastructure. Your role will involve leading the development and integration of agentic AI systems, designing vector databases for efficient similarity search in AI applications, providing technical guidance to junior team members, ensuring security of LLMs, engaging with clients to understand their AI requirements, developing tailored solutions, and more. Requirements for this role include a Bachelor's or Master's degree in Computer Science, AI, ML, or related fields, along with 8+ years of experience in engineering solutions and delivering AI solutions. You should have advanced proficiency in AI/GenAI technologies, experience with vector databases and similarity search algorithms, strong programming skills in languages like Python or R, excellent communication and interpersonal skills, and strong problem-solving abilities. It is preferred that you have experience with containerization (Docker) and orchestration (Kubernetes), as well as experience with ReactJS for rapid prototyping. The position is available in Delhi or Bangalore, with a hybrid working model. NTT DATA is a global innovator of business and technology services, serving 75% of the Fortune Global 100. The company is committed to helping clients innovate, optimize, and transform for long-term success. NTT DATA invests over $3.6 billion each year in R&D and offers services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is an Equal Opportunity Employer and part of the NTT Group headquartered in Tokyo.,

You are looking for a DevOps Technical Lead who will play a crucial role in leading the development of an Infrastructure Agent powered by Generative AI (GenAI) technology. In this role, you will be responsible for designing and implementing an intelligent Infra Agent that can handle provisioning, configuration, observability, and self-healing autonomously. Your key responsibilities will include leading the architecture and design of the Infra Agent, integrating various automation frameworks to enhance DevOps workflows, automating infrastructure provisioning and incident remediation, developing reusable components and frameworks using Infrastructure as Code (IaC) tools, and collaborating with AI/ML engineers and SREs to create intelligent infrastructure decision-making logic. You will also be expected to implement secure and scalable infrastructure on cloud platforms such as AWS, Azure, and GCP, continuously improve agent performance through feedback loops, telemetry, and model fine-tuning, drive DevSecOps best practices, compliance, and observability, as well as mentor DevOps engineers and work closely with cross-functional teams. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with at least 8 years of experience in DevOps, SRE, or Infrastructure Engineering. You must have proven experience in leading infrastructure automation projects, expertise with cloud platforms like AWS, Azure, GCP, and deep knowledge of tools such as Terraform, Kubernetes, Helm, Docker, Jenkins, and GitOps. Hands-on experience with LLMs/GenAI APIs, familiarity with automation frameworks, and proficiency in programming/scripting languages like Python, Go, or Bash are also required. Preferred qualifications for this role include experience in building or fine-tuning LLM-based agents, contributions to open-source GenAI or DevOps projects, understanding of MLOps pipelines and AI infrastructure, and certifications in DevOps, cloud, or AI technologies.,

You will be joining our team as a Senior AI Automation & Systems Lead, where you will have the opportunity to partner directly with the founder to build next-gen operating systems. Your role will involve developing innovative operating systems to enhance performance and efficiency across various departments. Your responsibilities will include architecting automation workflows using tools like n8n, Zapier, Make, and custom scripts. You will design and maintain scalable Airtable infrastructure for data ops and automation backends, build and deploy AI agents using platforms such as OpenAI and LangChain, orchestrate and govern agents via a Multi-Agent Control Panel (MCP), and integrate cross-platform APIs like Google Workspace, Slack, CRMs, ERPs, Notion, Ads, and more. As a Senior AI Automation & Systems Lead, you will identify, evaluate, and implement high-leverage automation across business and media operations, define and track automation KPIs, build internal dashboards, and lead optimization cycles. Additionally, you will have the opportunity to mentor junior developers and document systems for easy onboarding and handover. To qualify for this role, you should have a minimum of 4-8 years of hands-on experience in automation, backend systems, or AI operations. You must have a proven track record in deploying autonomous agents in real-world applications, deep knowledge of automation tools like n8n and Airtable, REST APIs, and automation logic. Understanding of API architecture, familiarity with MCPs, agent orchestration, and lifecycle governance is essential. Experience with platforms such as LangChain, Claude, Pinecone, Firestore, OpenRouter, or RAG systems will be advantageous. Strong communication skills are necessary to effectively translate technical concepts into business outcomes. The required skills for this role include a strong background in automation, backend systems, and AI operations. Preferred skills include familiarity with various automation tools and platforms, as well as experience in mentoring and documentation. We are an equal opportunity employer committed to diversity and inclusivity in our hiring practices. Joining our team will give you the opportunity to work directly with the Founder to reimagine an industry, build systems that impact factories, media studios, and global marketing pipelines, and work with a dynamic team in a fast-paced environment. If you are excited about creating systems that think faster than people and building tech that drives creativity and execution at scale, we would like to hear from you. To apply, please send us your updated professional profile, work samples showcasing automation flows, agent deployments, dashboards, etc., and a note on how you would go about automating 50% of an ad agency and packaging unit if you had to do it tomorrow. Location: Gurugram,

As an AI/ML Engineer, your primary responsibility will be to collaborate effectively with cross-functional teams, including data scientists and product managers. Together, you will work on acquiring, processing, and managing data for the integration and optimization of AI/ML models. Your role will involve designing and implementing robust, scalable data pipelines to support cutting-edge AI/ML models. Additionally, you will be responsible for debugging, optimizing, and enhancing machine learning models to ensure quality assurance and performance improvements. Operating container orchestration platforms like Kubernetes with advanced configurations and service mesh implementations for scalable ML workload deployments will be a key part of your job. You will also design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. Engaging in advanced prompt engineering and fine-tuning of large language models (LLMs) will be crucial, with a focus on semantic retrieval and chatbot development. Documentation will be an essential aspect of your work, involving the recording of model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. Researching and implementing cutting-edge LLM optimization techniques such as quantization and knowledge distillation will be part of your ongoing tasks to ensure efficient model performance and reduced computational costs. Collaborating closely with stakeholders to develop innovative natural language processing solutions, with a specialization in text classification, sentiment analysis, and topic modeling, will be another significant aspect of your role. Staying up-to-date with industry trends and advancements in AI technologies and integrating new methodologies and frameworks to continually enhance the AI engineering function will also be expected of you. In terms of qualifications, a Bachelor's degree in any Engineering stream is required, along with a minimum of 4+ years of relevant experience in AI. Proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) is essential. Experience with LLM frameworks, big data processing using Spark, version control, and experiment tracking, as well as proficiency in software engineering and development, DevOps, infrastructure, cloud services, and LLM project experience are also necessary. Your expertise should include a strong mathematical foundation in statistics, probability, linear algebra, and optimization, along with a deep understanding of ML and LLM development lifecycle. Additionally, you should have expertise in feature engineering, embedding optimization, dimensionality reduction, A/B testing, experimental design, statistical hypothesis testing, RAG systems, vector databases, semantic search implementation, and LLM optimization techniques. Strong analytical thinking, excellent communication skills, experience translating business requirements into data science solutions, project management skills, collaboration abilities, dedication to staying current with the latest ML research, and the ability to mentor and share knowledge with team members are essential competencies for this role.,

You will work on the core infrastructure of the AI Assurance platform and assist in building internal tools to assess GenAI agents. Your main focus will involve constructing workflows, pipelines, and evaluation modules for text, SQL, and voice interactions. Your responsibilities will include building and managing LLM evaluation pipelines using technologies such as OpenAI, LangChain, and Pinecone. You will also be responsible for prototyping the AI Agent for PRD script conversion, developing telemetry dashboards, prompt diff tools, and contributing to Python-based observability SDKs. The preferred skills for this role include proficiency in Python, LangChain, and OpenAI APIs, as well as experience with vector databases, embedding models, Git, Docker, and Postman basics. A passion for agent-based systems or infrastructure tooling is highly desirable. As the ideal candidate, you should have an interest in exploring AI, ML, and other emerging domains, along with strong analytical and problem-solving abilities. Additionally, awareness of current trends in tech innovation and industry developments will be beneficial.,

You are an experienced Python Backend Engineer with a strong background in AWS and AI/ML. Your primary responsibility will be to design, develop, and maintain Python-based backend systems and AI-powered services. You will be tasked with building and managing RESTful APIs using Django or FastAPI for AI/ML model integration. Additionally, you will develop and deploy machine learning and GenAI models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Your expertise in implementing GenAI pipelines using Langchain will be crucial, and experience with LangGraph is considered a strong advantage. You will leverage various AWS services such as EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment purposes. Collaborating with data scientists, DevOps, and architects to integrate models and workflows into production will be a key aspect of your role. Furthermore, you will be responsible for building and managing CI/CD pipelines for backend and model deployments. Ensuring the performance, scalability, and security of applications in cloud environments will be paramount. Monitoring production systems, troubleshooting issues, and optimizing model and API performance will also fall under your purview. To excel in this role, you must possess at least 5 years of hands-on experience in Python backend development. Your strong experience in building RESTful APIs using Django or FastAPI is essential. Proficiency in AWS cloud services, a solid understanding of ML/AI concepts, and experience with ML libraries are prerequisites. Hands-on experience with Langchain for building GenAI applications and familiarity with DevOps tools and microservices architecture will be beneficial. Additionally, having Agile development experience and exposure to tools like Docker, Kubernetes, Git, Jenkins, Terraform, and CI/CD workflows will be advantageous. Experience with LangGraph, LLMs, embeddings, and vector databases, as well as knowledge of MLOps tools and practices, are considered nice-to-have qualifications. In summary, as a Python Backend Engineer with expertise in AWS and AI/ML, you will play a vital role in designing, developing, and maintaining intelligent backend systems and GenAI-driven applications. Your contributions will be instrumental in scaling backend systems and implementing AI/ML applications effectively.,

We are seeking an experienced and forward-thinking Generative AI Architect with a background of 12-15 years in AI/ML, with a specific focus on working with LLMs (Large Language Models) and Generative AI solutions. This pivotal role involves designing and supervising the development of cutting-edge GenAI platforms and solutions that revolutionize business operations and enhance customer experiences. As the GenAI Architect, you will collaborate closely with Data Scientists, ML Engineers, Product Teams, and Stakeholders to envision, prototype, and scale Generative AI Use Cases throughout the organization or for clients. Key responsibilities include leading the design and implementation of scalable GenAI solutions utilizing LLMs, diffusion models, and multimodal architectures. You will also be tasked with architecting end-to-end pipelines that encompass prompt engineering, vector databases, retrieval-augmented generation (RAG), and LLM fine-tuning. Furthermore, you will play a crucial role in selecting and integrating foundational models based on business requirements and technical limitations, defining GenAI architecture blueprints and best practices, and guiding teams on model evaluation, inference optimization, and cost-effective scaling strategies. Additionally, staying abreast of the rapidly evolving GenAI landscape, evaluating emerging tools, APIs, and frameworks, and collaborating with various stakeholders to identify high-impact GenAI use cases are essential aspects of this role. Requirements: - A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. A PhD would be advantageous. - 12-15 years of experience in AI/ML and software engineering, with at least 3 years of dedicated focus on Generative AI and LLM-based architectures. Core Skills: - Profound expertise in machine learning, natural language processing (NLP), and deep learning architectures. - Hands-on familiarity with LLMs, transformers, fine-tuning techniques, and prompt engineering. - Proficiency in Python, including working knowledge of libraries/frameworks like Hugging Face Transformers, LangChain, OpenAI API, PyTorch, and TensorFlow. - Experience with vector databases and RAG pipelines. - Strong grasp of cloud-native AI architectures, containerization, and API integration. Architectural & Leadership Skills: - Demonstrated ability to design and implement scalable, secure, and efficient GenAI systems. - Excellent communication skills for effective cross-functional collaboration and stakeholder engagement. - Capacity to mentor engineering teams and foster innovation within the AI/ML ecosystem. Nice-to-Have: - Previous experience with multimodal models. - Understanding of AI governance, ethical AI, and compliance frameworks. - Familiarity with MLOps practices for GenAI, encompassing model versioning, drift detection, and performance monitoring.,

Are you passionate about building world-class AI-driven applications We are looking for a skilled Senior Full Stack AI Developer with 5-10 years of experience (including 3+ years in AI) to join our innovative team in Noida. As a part of our team, you will be responsible for designing and deploying AI-powered full stack solutions using Python, Node.js, Django, LangChain, LLMs, and ReactJS. Your role will involve integrating advanced LLM and LangChain models into robust applications, collaborating with cross-functional teams for seamless project delivery, mentoring junior developers, and driving best coding practices to optimize application performance and scalability. The ideal candidate must have 5-10 years of development experience, with a minimum of 3 years dedicated to AI. Proficiency in Python, Node.js, Django, LangChain, LLMs, and ReactJS is essential for this role. Additionally, excellent problem-solving and communication skills are required. The candidate should be able to join within 15 days. Prior experience in a similar band (C1/C2) is preferred. If you are ready to take your AI career to the next level and meet the above requirements, we encourage you to apply for this exciting opportunity to contribute to building cutting-edge AI solutions.,

You are an experienced Full-Stack Developer with 5+ years of experience in building scalable web applications using Python (FastAPI), React.js, and cloud-native technologies. In this role, you will be responsible for developing a low-code/no-code AI agent platform, implementing an intuitive workflow UI, and integrating with LLMs, enterprise connectors, and role-based access controls. Your responsibilities will include backend development where you will develop and optimize APIs using FastAPI, integrating with LangChain, vector databases (Pinecone/Weaviate), and enterprise connectors (Airbyte/Nifi). Additionally, you will work on frontend development to build an interactive drag-and-drop workflow UI using React.js (React Flow, D3.js, TailwindCSS). You will also be involved in implementing OAuth2, Keycloak, and role-based access controls (RBAC) for multi-tenant environments. Database design is a crucial part of this role, where you will work with PostgreSQL (structured data), MongoDB (unstructured data), and Neo4j (knowledge graphs). DevOps & Deployment tasks will involve deploying using Docker, Kubernetes, and Terraform across multi-cloud (Azure, AWS, GCP) to ensure smooth operations. Performance optimization is another key area where you will focus on improving API performance and optimizing frontend responsiveness for seamless user experience. Collaboration with AI & Data Engineers is essential, as you will work closely with the Data Engineering team to ensure smooth AI model integration. To be successful in this role, you are required to have 5+ years of experience in FastAPI, React.js, and cloud-native applications. Strong knowledge of REST APIs, GraphQL, and WebSockets is essential, along with experience in JWT authentication, OAuth2, and multi-tenant security. Additionally, proficiency in PostgreSQL, MongoDB, Neo4j, and Redis is expected. Knowledge of workflow automation tools (n8n, Node-RED, Temporal.io), familiarity with containerization (Docker, Kubernetes), and CI/CD pipelines is also required. Bonus skills include experience in Apache Kafka, WebSockets, or AI-driven chatbots.,

The role of AI Engineer at our company involves developing essential software features to ensure timely delivery while meeting the company's performance and quality standards. As an AI Engineer, you will be part of our team working on various data science initiatives, ranging from traditional analytics to cutting-edge AI applications. This position provides a great opportunity to gain experience in machine learning and artificial intelligence across different domains. Your core responsibilities will include developing and maintaining data processing pipelines using Python, creating and deploying GenAI applications through APIs and frameworks like semantic kernel and Langchain, conducting data analysis and generating insightful visualizations, collaborating with different teams to understand business requirements and implement AI solutions, contributing to the development and upkeep of language model evaluations and other AI applications, writing clean, documented, and tested code following best practices, and monitoring application performance while making necessary improvements. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, along with at least 2 years of hands-on experience in applied data science and machine learning. Proficiency in Python programming, familiarity with LLMs and their applications, experience with cloud platforms such as AWS, Azure, or GCP, version control using Git, strong analytical and problem-solving skills, and knowledge of PyTorch and Deep Learning fundamentals are essential requirements. In terms of technical skills, you should have knowledge of LLMs and Generative AI platforms, be familiar with popular LLM APIs, have experience with frameworks like Semantic Kernel, LangChain, OpenAI, and Google Vertex AI, be proficient in programming languages including Python, SQL, and R, have expertise in libraries such as HuggingFace, Transformers, Matplotlib, and Seaborn, be skilled in ML/Statistics with tools like scikit-learn, statsmodels, and PyTorch, understand data processing with Pandas, NumPy, and PySpark, and have experience working with cloud platforms like AWS, GCP, or Azure. This full-time permanent position is located in Bengaluru and is with the Merkle brand.,

We are seeking a talented Systems Architect (AVP level) with specialized knowledge in designing and expanding Generative AI solutions for production environments. In this pivotal position, you will collaborate across various teams including data scientists, ML engineers, and product leaders to mold enterprise-level GenAI platforms. Your responsibilities will include designing and scaling LLM-based systems such as chatbots, copilots, RAG, and multi-modal AI, architecting data pipelines, training/inference workflows, and integrating MLOps. You will be tasked with ensuring that systems are modular, secure, scalable, and cost-effective. Additionally, you will work on model orchestration, agentic AI, vector DBs, and CI/CD for AI. The ideal candidate should possess 12-15 years of experience in cloud-native and distributed systems, with 2-3 years focusing on GenAI/LLMs utilizing tools like LangChain, HuggingFace, and Kubeflow. Proficiency in cloud platforms such as AWS, GCP, or Azure (SageMaker, Vertex AI, Azure ML) is essential. Experience with RAG, semantic search, agent orchestration, and MLOps is highly valued. Strong architectural acumen, effective stakeholder communication skills, and preferred certifications in cloud technologies, AI open-source contributions, and knowledge of security and governance are all advantageous.,

You will be joining Kritrima Prajna Innovations Pvt Ltd, a transformative EdTech company revolutionizing STEM, AI, and robotics education through platforms like eduCOBOT and Innov8r. With a proven track record of impacting over 10,000 learners in India and East Africa, we are now gearing up to enhance our platforms with more scalability, intelligence, and AI integration. As our senior technical co-founder (CTO), you will play a pivotal role in shaping the future of our products and platforms. Your key responsibilities will include architecting and developing the next versions of eduCOBOT and Innov8r, leading full-stack development using technologies like React.js/Next.js, Node.js, and Python, overseeing the integration of microcontroller-based systems such as Arduino, ESP32, and IoT, managing cloud infrastructure on platforms like Firebase, Vercel, and AWS, designing and implementing agentic AI workflows leveraging OpenAI APIs and LangChain, as well as mentoring the engineering team to ensure successful scaling. The ideal candidate for this role would possess 7-10+ years of experience in full-stack/platform development, with a strong background in building scalable and modular platforms, proven leadership skills in guiding technical teams and making architectural decisions, hands-on experience in integrating hardware with software platforms, familiarity with AI/ML and agentic AI systems, a sound understanding of cloud services, APIs, and deployment workflows, and preferably prior exposure to startup or entrepreneurial environments. Being based in Mumbai or willingness to relocate full-time is essential for this position. In return, we offer a unique opportunity to have a significant co-founder equity stake and long-term ownership in a revenue-generating company that has already impacted a substantial number of learners. You will have the chance to lead the technological evolution and global scaling of our platforms, own the technology roadmap and product architecture, engage in a transparent and impact-driven partnership, and demonstrate a symbolic capital commitment that reflects our shared belief and long-term commitment.,