696 Langchain Jobs - Page 28

Job Summary Director, Collection Platforms and AI As a director, you will be essential to drive customer satisfaction by delivering tangible business results to the customers. You will be working for the Enterprise Data Organization and will be an advocate and problem solver for the customers in your portfolio as part of the Collection Platforms and AI team. You will be using communication and problem-solving skills to support the customer on their automation journey with emerging automation tools to build and deliver end to end automation solutions for them. Team Collection Platforms and AI Enterprise Data Organizations objective is to drive growth across S&P divisions, enhance speed and productivity in our operations, and prepare our data estate for the future, benefiting our customers. Therefore, automation represents a massive opportunity to improve quality and efficiency, to expand into new markets and products, and to create customer and shareholder value. Agentic automation is the next frontier in intelligent process evolution, combining AI agents, orchestration layers, and cloud-native infrastructure to enable autonomous decision-making and task execution. To leverage the advancements in automation tools, its imperative to not only invest in the technologies but also democratize them, build literacy, and empower the work force. The Collection Platforms and AI team's mission is to drive this automation strategy across S&P Global and help create a truly digital workplace. We are responsible for creating, planning, and delivering transformational projects for the company using state of the art technologies and data science methods, developed either in house or in partnership with vendors. We are transforming the way we are collecting the essential intelligence our customers need to do decision with conviction, delivering it faster and at scale while maintaining the highest quality standards. What were looking for ? You will lead the design, development, and scaling of AI-driven agentic pipelines to transform workflows across S&P Global. This role requires a strategic leader who can architect end-to-end automation solutions using agentic frameworks, cloud infrastructure, and orchestration tools while managing senior stakeholders and driving adoption at scale. A visionary technical leader with knowledge of designing agentic pipelines and deploying AI applications in production environments. Understanding of cloud infrastructure (AWS/Azure/GCP), orchestration tools (e.g., Airflow, Kubeflow), and agentic frameworks (e.g., LangChain, AutoGen). Proven ability to translate business workflows into automation solutions, with emphasis on financial/data services use cases. An independent proactive person who is innovative, adaptable, creative, and detailed-oriented with high energy and a positive attitude. Exceptional skills in listening to clients, articulating ideas, and complex information in a clear and concise manner. Proven record of creating and maintaining strong relationships with senior members of client organizations, addressing their needs, and maintaining a high level of client satisfaction. Ability to understand what the right solution is for all type of problems, understanding and identifying the ultimate value of each project. Operationalize this technology across S&P Global, delivering scalable solutions that enhance efficiency, reduce latency, and unlock new capabilities for internal and external clients. Exceptional communication skills with experience presenting to C-level executives Responsibilities Engage with the multiple client areas (external and internal) and truly understand their problem and then deliver and support solutions that fit their needs. Understand the existing S&P Global product to leverage existing products as necessary to deliver a seamless end to end solution to the client. Evangelize agentic capabilities through workshops, demos, and executive briefings. Educate and spread awareness within the external client-base about automation capabilities to increase usage and idea generation. Increase automation adoption by focusing on distinct users and distinct processes. Deliver exceptional communication to multiple layers of management for the client. Provide automation training, coaching, and assistance specific to a users role. Demonstrate strong working knowledge of automation features to meet evolving client needs. Extensive knowledge and literacy of the suite of products and services offered through ongoing enhancements, and new offerings and how they fulfill customer needs. Establish monitoring frameworks for agent performance, drift detection, and self-healing mechanisms. Develop governance models for ethical AI agent deployment and compliance. Preferred Qualification 12+ years work experience with 5+ years in the Automation/AI space Knowledge of: Cloud platforms (AWS SageMaker, Azure ML; etc) Orchestration tools (Prefect, Airflow; etc) Agentic toolkits (LangChain, LlamaIndex, AutoGen) Experience in productionizing AI applications. Strong programming skills in python and common AI frameworks Experience with multi-modal LLMs and integrating vision and text for autonomous agents. Excellent written and oral communication in English Excellent presentation skills with a high degree of comfort speaking with senior executives, IT Management, and developers. Hands-on ability to build quick prototype/visuals to assist with high level product concepts and capabilities. Experience in deployment and management of applications utilizing cloud-based infrastructure. A desire to work in a fast-paced and challenging work environment Ability to work in a cross functional, multi geographic teams

equired Skills & Qualifications Education & Experience: Bachelors or Master’s degree in Computer Science, Data Science, or a related field. 3–5 years of hands-on experience developing AI or data-driven applications in Python. Technical Expertise: LangChain: Proficiency in designing and implementing RAG pipelines. AWS Bedrock/ Azure OpenAI: Familiarity with integrating large language models. Pydantic: Solid understanding of data validation and configuration management. LangGraph: Experience with workflow orchestration and state management. FastAPI & React: Experience building RESTful APIs and integrating front-end frameworks. AWS: Practical knowledge of cloud deployment, CI/CD, and infrastructure management. Pinecone: Familiarity with hybrid retrieval techniques (sparse + dense), similarity search configurations, and metadata filtering. Soft Skills: Excellent problem-solving abilities and attention to detail. Strong communication skills, with the ability to explain complex AI concepts to non- technical stakeholders. A team player who thrives in a collaborative environment. Experience with Docker or Kubernetes for containerization and orchestration. Knowledge of MLOps tools and practices (e.g., MLflow, Airflow, etc.). Familiarity with other vector databases or vector search engines.

Job Description: We are looking for a talented and experienced Senior Data Scientist with a minimum of 4 years of professional experience in model development and expertise in Gen AI projects. As a Senior Data Scientist, you will be responsible for developing advanced machine learning models, conducting exploratory data analysis (EDA), performing feature selection/reduction, and utilizing cutting-edge technologies to deliver high-quality solutions. The ideal candidate should possess strong programming proficiency in Python and experience with cloud platforms like GCP or equivalent, as well as visualization tools like Qlik Sense, Power BI, Looker Studio, or Tableau. Job Responsibility: Data Scientists 3+ Year (Mandatory Skills) Model development (regression and classification), should have strong experience in performing EDA, Feature selection/Feature Reduction, building models and evaluate its performance Should have worked on Gen AI project Strong programming proficiency in python with mastery of data science libraries Pandas, numpy and scikitlearn & xgboost or pytorch GCP (BQ, Vertex AI) or other equivalent cloud Visualization (Qlik Sense / Looker Studio / Power BI / Tableau) Skills : GenAI & RAG Model development (regression and classification) Machine Learning Python GCP / other equivalent cloud Visualization LLM Model building We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Interview Date: 17th May 2025 (Saturday), Face to Face In person Interview Chennai.

Hi, We are hiring for ML Developer. Please find the attached JD. Key Responsibilities Design, develop, and optimize machine learning models for various business applications. Build and maintain scalable AI feature pipelines for efficient data processing and model training. Develop robust data ingestion, transformation, and storage solutions for big data. Implement and optimize ML workflows, ensuring scalability and efficiency. Monitor and maintain deployed models, ensuring performance, reliability, and retraining when necessary Preferred candidate profile Qualifications and Experience Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 3.5 to 5 years of experience in machine learning, deep learning, or data science roles. Proficiency in Python and ML frameworks/tools such as PyTorch, Langchain Experience with data processing frameworks like Spark, Dask, Airflow and Dagster Hands-on experience with cloud platforms (AWS, GCP, Azure) and ML services. Experience with MLOps tools like ML flow, Kubeflow Familiarity with containerisation and orchestration tools like Docker and Kubernetes. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication and collaboration skills.

Responsibilities: * Design generative AI solutions using LLM, Python, SQL & NLP techniques. * Collaborate with cross-functional teams on project delivery. * Implement RNN, LSTM, GRU models for text analysis.

Job description Job description Job Summary: We are looking for a results-driven and innovative Data Scientist with 46 years of experience in data analysis, machine learning, and product optimization. The ideal candidate will have a strong foundation in Python, SQL, and cloud services, along with practical exposure to GenAI, LLMs, and MLOps frameworks. You will be responsible for building scalable data pipelines, developing machine learning models, and solving real-world business problems with data-driven solutions. Key Responsibilities: Design and deploy LLM-powered solutions (e.g., RAG, LangChain, Vector DB) to enhance business processes. Build and fine-tune traditional ML models (Random Forest, Decision Trees) for predictive analytics. Optimize LLM performance using LoRA fine-tuning and post-training quantization. Develop and deploy containerized AI applications using Docker and FastAPI. Collaborate with agents like CrewAI and LangSmith to automate document processing and data extraction workflows. Implement Python & SQL-based ETL pipelines for real-time data ingestion. Design dashboards and KPI monitoring tools using Metabase to enable data-driven decision-making. Create data consumption triggers and automate reporting for international stakeholders. Moderate large-scale live virtual data science classes and provide operational support. Required Skills: Programming: Python, SQL, FastAPI ML & AI: Random Forest, Decision Trees, Clustering, PCA, DL, NLP, Transformers, Gen AI Frameworks/Tools: LangChain, MLflow, Kubeflow, CrewAI, LangSmith DevOps: Docker, Git Databases: MySQL, PostgreSQL, MongoDB Cloud: AWS (S3, EC2) Visualization: Metabase Other: Experience with LLM fine-tuning and quantization Role & responsibilitiesRole & responsibilities Preferred candidate profile

Hexaware is conducting Walkin Interview for Data Scientist (Agentic AI) _Navi Mumbai Location_ 18th May 25 (Sunday) We urgently looking for Immediate joiners/Early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com Experience range- 3yrs to 19yrs Notice period- 15 days/30days Max Interview Location (Face to Face)- Navi Mumbai Open Positions: 1. AI Engineer -3+yrs 2. Lead Agentic AI Developer -5+yrs 3. Data scientist Architect- 10_yrs MUST HAVE: Agentic AI, LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Knowledge of Agentic AI concepts and applications 2. Strong Experience in Data Scientist (GENAI) 3. Proficiency with Generative AI models like GANs, VAEs, and transformers 4. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 5. Strong Python Fast API experience, SDA based implementations for all the APIs

We are seeking a talented and motivated AI Engineers to join our dynamic team and contribute to the development of next-generation AI/GenAI based products and solutions. This role will provide you with the opportunity to work on cutting-edge SaaS technologies and impactful projects that are used by enterprises and users worldwide. As a Senior Software Engineer, you will be involved in the design, development, testing, deployment, and maintenance of software solutions. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services. Responsibilities: Software Development: Write clean, maintainable, and efficient code or various software applications and systems. GenAI Product Development: Participate in the entire AI development lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.Assist in researching and experimenting with state-of-the-art generative AI techniques to improve model performance and capabilities. Design and Architecture: Participate in design reviews with peers and stakeholders Code Review: Review code developed by other developers, providing feedback adhering to industry standard best practices like coding guidelines Testing: Build testable software, define tests, participate in the testing process, automate tests using tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. Debugging and Troubleshooting: Triage defects or customer reported issues, debug and resolve in a timely and efficient manner. Service Health and Quality: Contribute to health and quality of services and incidents, promptly identifying and escalating issues. Collaborate with the team in utilizing service health indicators and telemetry for action. Assist in conducting root cause analysis and implementing measures to prevent future recurrences. Dev Ops Model: Understanding of working in a DevOps Model. Begin to take ownership of working with product management on requirements to design, develop, test, deploy and maintain the software in production. Documentation: Properly document new features, enhancements or fixes to the product, and also contribute to training materials. Basic Qualifications: Bachelors degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 2+ years of professional software development experience. Proficiency as a developer using Python, FastAPI, PyTest, Celery and other Python frameworks. Experience with software development practices and design patterns. Familiarity with version control systems like Git GitHub and bug/work tracking systems like JIRA. Basic understanding of cloud technologies and DevOps principles. Strong analytical and problem-solving skills, with a proven track record of building and shipping successful software products and services. Preferred Qualifications: Experience with object-oriented programming, concurrency, design patterns, and REST APIs. Experience with CI/CD tooling such as Terraform and GitHub Actions. High level familiarity with AI/ML, GenAI, and MLOps concepts. Familiarity with frameworks like LangChain and LangGraph. Experience with SQL and NoSQL databases such as MongoDB, MSSQL, or Postgres. Experience with testing tools such as PyTest, PyMock, xUnit, mocking frameworks, etc. Experience with GCP technologies such as VertexAI, BigQuery, GKE, GCS, DataFlow, and Kubeflow. Experience with Docker and Kubernetes. Experience with Java and Scala a plus.

Job Description for GB5A(Dev) Primary Role Primarily responsible for working as Tech Lead i.e. leading the team and mentoring it technically. Provide hands-on technical leadership in the design, development, and deployment of generative AI models and systems. Serve as the technical point of contact for cross-functional teams, ensuring seamless collaboration between product, engineering, and data science teams. Responsibilities & KPIs Guiding the team technically and helping them solve the technical problems, throughout the project. Responsible for defining project goals, timelines, and deliverables in collaboration with stakeholders. Ensure scalability, robustness, and cost-efficiency of AI solutions. Conduct code reviews, provide constructive feedback, and ensure adherence to best practices in AI development. Build and maintain workflows to manage multiple POCs and project workloads efficiently. Collaborate with data scientists and domain experts to ensure model accuracy and relevance. Architect end-to-end Generative AI pipelines for model training, evaluation, and deployment using state-of-the-art tools and techniques Optimize AI models for speed, accuracy, and cost-efficiency. Ensure compliance with security and ethical standards. Address challenges like data drift and model degradation Proactively introduce innovative generative AI methodologies to address complex business challenges. Foster a culture of experimentation and continuous learning within the team. Ensure alignment between business goals and technical implementations. Desired Skills B.E./B.Tech degree in Computer Science, Information Science, or a related field from a leading institute preferred. Good leadership and people management skills. Excellent communication skills for translating technical concepts to non-technical stakeholders. Hands-on experience with Python Hands-on experience in machine learning, natural language processing, deep learning, and Generative AI technologies like LLM, RAG, Multi Modal architecture. Familiarity with frameworks like TensorFlow, PyTorch, Keras or Hugging Face. Familiarity with MLOps and CI/CD pipelines for AI workflows. Knowledge of cloud platforms (AWS, Azure, or GCP) for deploying AI solutions. Familiarity with current AI trends and open source technologies. Strong problem-solving and analytical skills. Ability to work on multiple projects simultaneously and manage priorities effectively. Exposure to financial services domains is a plus. Basic understanding of UI Frameworks (e.g. Angular) is a plus.

Software Architect Generative AI & LLM Systems job location Hyderabad - Noida or Gurgaon Job Overview We are seeking a highly experienced and hands-on Software Architect to lead the design and deployment of Large Language Model (LLM)-powered applications across cloud and on-prem environments. This role demands deep expertise in full-stack software development, high-performance inference systems, and cutting-edge generative AI workflows. You will play a key role in scaling AI infrastructure, maximizing throughput, and educating cross-functional teams on best practices for building LLM-driven solutions. Key Responsibilities LLM Deployment & Infrastructure Design: Architect, deploy, and maintain LLMs on cloud-based GPU clusters (e.g., AWS, GCP, Azure) or on-premise hardware including NVIDIA HGX and smaller GPU-accelerated instances. Bonus points for experience deploying containerized LLM applications in GPU clusters. Performance Optimization on Software Layer: Optimize LLM serving stacks using frameworks such as vLLM, TensorRT-LLM, or DeepSpeed to improve inference throughput and reduce time-to-first-token latency. Prompt Engineering & Optimization: Design, test, and refine prompts for LLMs to extract the highest quality output. Mentor team members on prompt engineering strategies and few-shot examples. I nference Efficiency & Scalability: Architect systems to maximize low-latency performance and time-to-first-token even under high demand. GenAI Application Architectu re: Build and lead GenAI application development using Langchain, designing modular pipelines for agents, tools, and memory systems. Define architectural patterns and reusable workflows. Team Enablement & Education: Educate and upskill engineering teams on best practices in GenAI development, inference performance, and prompt design through documentation, workshops, and code reviews. RAG with SQL-based Systems: Design and implement retrieval-augmented generation (RAG) pipelines that leverage SQL-like structured databases for high-relevance grounding. Vector Database Integration (Nice-to-Have): Bonus: Architect and optimize RAG systems using vector embeddings and specialized vector databases such as FAISS, Weaviate, or Pinecone. Requirements Must-Have Skills: 7+ years of full-stack development and software architecture experience Proven track record deploying LLMs in production, both on-premise and cloud GPU environments Strong hands-on experience with v LLM, Langchain, and model serving performance tuning Deep knowledge of prompt engineering, token economy, and optimizing LLM behavior Experience designing and scaling inference pipelines for latency and throughput Strong experience with Python and either TypeScript or Golan g Familiarity with deploying applications to hyperscalers (AWS, GCP, Azure) Strong knowledge of SQL databases and data retrieval strategies for grounding LLM responses Nice-to-Have Skills: Experience with vector databases and embedding-based retrieval in RAG pipelines Experience with orchestrating containerized LLM deployments using Kubernetes or Ray Familiarity with streaming inference systems and token-by-token UX optimizations Background in AI/ML systems, MLOps, or research-to-prod workflows conact 95134 87487

What Youll Own Full Stack Systems: Architect and build end-to-end applications using Flask, FastAPI, Node.js, React (or Next.js), and Tailwind. AI Integrations: Build and optimize pipelines involving LLMs (OpenAI, Groq, LLaMA), Whisper, TTS, embeddings, RAG, LangChain, LangGraph, and vector DBs like Pinecone/Milvus. Cloud Infrastructure: Deploy, monitor, and scale systems on AWS/GCP using EC2, S3, IAM, Lambda, Kafka, and ClickHouse. Real-time Systems: Design asynchronous workflows (Kafka, Celery, WebSockets) for voice-based agents, event tracking, or search indexing. System Orchestration: Set up scalable infra with autoscaling groups, Docker, and Kubernetes (PoC ready, if not full prod). Growth-Ready Features: Implement in-app nudges, tracking with Amplitude, AB testing, and funnel optimization. Tech Stack Youll Work With: Backend & Infrastructure Languages/Frameworks: Python (Flask, FastAPI), Node.js Databases: PostgreSQL, Redis, ClickHouse Infra: Kafka, Docker, Kubernetes, GitHub Actions, Cloudflare Cloud: AWS (EC2, S3, RDS), GCP Frontend React / Next.js, TailwindCSS, Zustand, Shadcn/UI WebGL, Three.js for 3D rendering AI/ML & Computer Vision LangChain, LangGraph, HuggingFace, OpenAI, Groq Whisper (ASR), Eleven Labs (TTS) Diffusion Models, StyleGAN, Stable Diffusion GANs, MediaPipe, ARKit/ARCore Computer Vision: Face tracking, real-time try-on, pose estimation Virtual Try-On: Face/body detection, cloth/hairstyle try-ons APIs Stripe, VAPI, Algolia, OpenAI, Amplitude Vector DB & Search Pinecone, Milvus (Zilliz), custom vector search pipelines Other Vibe Coding culture, prompt engineering, system-level optimization Must-Haves: 1+ years of experience building production-grade full-stack systems Fluency in Python and JS/TS (Node.js, React) shipping independently without handholding Deep understanding of LLM pipelines, embeddings, vector search, and retrieval-augmented generation (RAG) Experience with AR frameworks (ARKit, ARCore), 3D rendering (Three.js), and real-time computer vision (MediaPipe) Strong grasp of modern AI model architectures: Diffusion Models, GANs, AI Agent Hands-on with system debugging, performance profiling, infra cost optimization Comfort with ambiguity fast iteration, shipping prototypes, breaking things to learn faster Bonus if youve built agentic apps, AI workflows, or virtual try-ons

Hiring Super Technologists for India’s Largest Pvt Bank! Build GenAI core platform from scratch. Work on cloud-native infra, agentic AI systems, and microservices using Java/Python Required Candidate profile Work with LangChain, SpringAI, Vector DBs, AWS/GCP/Azure, Kubernetes, KafkaDesign AI-led onboarding, voice bots & intelligent infra. Seeking platform builders with GenAI/LLM exposure

We're hiring an AI Agent Developer (Copilot Studio) with 3–8 YOE in Microsoft Copilot Studio, Power Platform, LLM-based frameworks (LangChain, ReAct, OpenAI), and REST API integrations. JD: https://tinyurl.com/aidev-copilotstudio

About Creatrix Campus Creatrix Campus is a next-generation SaaS platform purpose-built for higher education. With a growing customer base across the USA, UAE, Malaysia, and beyond, Creatrix simplifies operations for universities through AI, automation, and low-code/no-code configurability. Were scaling rapidly and building an architecture-first culture that values performance, reusability, and product innovation. Role Summary: We are seeking a Business Analyst with strong product sense and AI fluency to join our Product Solution Department. You will work closely with Product Owners, Clients, and Engineering teams to define scalable, configurable, and AI-augmented solutions for higher education. You wont be expected to build AI models, but you must be able to leverage AI in your daily work and stay current on trends that affect EdTech. Key Responsibilities: Product & Functional Analysis Analyze complex university workflows (Admissions, SIS, Curriculum, Accreditation, etc.) and define user requirements Create BRDs, FRDs, solution documents, user flows, and wireframes for product development Translate client problems into scalable, no-code/low-code functional solutions Participate in sprints, grooming sessions, and product roadmap discussions AI-Enhanced Solutioning Use AI tools (e.g., ChatGPT, Claude, Google Vertex AI, LangChain, GPT-based apps) to: Generate user stories, acceptance criteria, and documentation Brainstorm and evaluate AI use cases within the product lifecycle Support prototyping or feature testing with mock AI responses Stay updated on emerging AI frameworks, open-source tools, and no-code AI platforms Collaborate with AI engineering teams on data structuring, prompt design, and workflow automation ideas Stakeholder Collaboration Gather requirements from institutional users like Registrars, Deans, and IT teams Lead solution walkthroughs, CRP sessions, and UAT support with clients Translate cross-functional feedback into clear, prioritized specifications Documentation & Quality Support Maintain structured documentation on Confluence, PMIS, or Creatrix tools Support QA teams in defining test cases and validation flow Assist in training, adoption material creation, and onboarding guides Required Skills & Qualifications: Domain & Experience 3 - 6 years of experience as a Business Analyst, preferably in EdTech or SaaS Familiarity with higher education systems (SIS, LMS, Accreditation, Student Lifecycle) Strong understanding of modular SaaS architecture , workflows, and configurable systems AI Fluency (Non-Coding) Hands-on use of tools like ChatGPT, Midjourney, Prompt Engineering , or similar platforms Familiar with concepts like OCR, Recommendation Systems, Predictive Analytics , etc. Aware of AI frameworks (e.g., LangChain, LLMs, fine-tuning vs. prompting, etc.) Passionate about exploring AI for requirement writing, wireframing, testing, and knowledge management Technical & Tooling Skills Tools: Jira, Confluence, Luci chart/Miro, Creatrix PMIS, Excel, Notion Comfort reading/writing structured data (e.g., JSON, basic SQL) Ability to collaborate with engineers and speak the language of systems Soft Skills Excellent analytical, documentation, and communication skills Creative thinker with attention to detail and a strong product mindset Quick learner and strong collaborator across regional teams Nice to Have Experience working in Agile/Scrum environments Exposure to no-code platforms or AI-Project Any AI certifications (e.g., Prompt Engineering, AI Product Management)

Develop and deploy AI-based applications leveraging LLMs and Generative AI models like GPT, Gemini, or similar frameworks Build scalable backend systems using Python, ensuring seamless integration with UI/UX components Design and optimize generative AI models to address diverse business challenges Fine-tune pre-trained LLMs to align with specific use cases Work closely with cross-functional teams, including data scientists, UI/UX developers, and product managers, to deliver robust solutions Collaborate with clients to gather requirements and develop customized AI capabilities Deploy solutions on cloud platforms (Azure, AWS, or GCP) and ensure system scalability and performance

Only Immediate joiners (0-10 days) Job Summary: We are looking for a skilled and motivated Backend Lead with 7+ years of experience in building scalable backend systems using Python , Java , and SQL . The ideal candidate will have a solid foundation in backend development, data handling, and service integration. Experience with Langchain or Langraph is a strong plus. Key Responsibilities: Design, develop, and maintain backend services and APIs using Python and Java. Work with relational databases (e.g., PostgreSQL, MySQL) to design efficient schemas and write optimized SQL queries. Collaborate with cross-functional teams (frontend, product, data) to deliver robust, scalable solutions. Write clean, maintainable code and participate in code reviews. Implement unit and integration tests to ensure system reliability. Troubleshoot, debug, and optimize application performance. Contribute to technical documentation and deployment processes. Stay current with backend best practices, tools, and emerging technologies. Required Skills: 7+ years of professional experience in backend development. Strong programming skills in Python and Java . Solid understanding of SQL and experience with relational databases (e.g., MySQL, PostgreSQL). Experience in building and consuming RESTful APIs . Familiarity with version control systems, especially Git . Good understanding of software development life cycle and agile methodologies. Nice to Have: Experience or familiarity with Langchain or Langraph . Exposure to cloud platforms (AWS, GCP, or Azure). Knowledge of containerization tools like Docker . Understanding of CI/CD pipelines and basic DevOps practices. Soft Skills: Strong problem-solving and debugging skills. Clear written and verbal communication. Ability to work independently and as part of a team.

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

We are seeking an experienced Backend Engineer to drive the development of our innovative AI platform on Azure. This role will focus on designing, building, and maintaining complex agentic systems, including our existing RAG-based systems and the upcoming Graph RAG and orchestration modules. You will leverage Python, the Lang Chain library, and Azure cloud services to deliver robust backend services that empower our client solutions. SCOPE OF WORK Agentic System Development: Architect and implement backend modules that support agent-based functionalities. Develop and enhance our retrieval augmented generation (RAG) system. Build out Graph RAG systems and orchestration functionalities. Develop orchestration agents Technical Leadership: Collaborate with cross-functional teams to design and refine backend solutions. Provide technical guidance on best practices for Python development and integration of the Lang Chain library. Cloud Infrastructure & DevOps: Deploy, monitor, and maintain backend services on the Azure platform. Implement scalable microservices architecture, ensuring high availability and performance. Collaboration: Work closely with offshore team members in an agile development environment. Participate in code reviews, technical discussions, and design sessions. Quality & Documentation: Write clear, maintainable code and comprehensive documentation. Develop and enforce engineering standards and procedures. IDEAL CANDIDATE PROFILE Demonstrated AI application development or Bachelors (or higher) degree in Computer Science, Software Engineering, or related discipline. 4+ years of hands-on experience in backend development with Python. Proven expertise in building large-scale, cloud-native systems on Azure. Demonstrated experience with retrieval augmented generation (RAG) architectures and Graph RAG. Experience with MCM a plus Experience with GenAI capabilities in Databricks is a huge plus. Proficiency with the Lang Chain library and agent orchestration patterns. Experience in building microservices and RESTful APIs. Strong problem-solving skills and a proactive, detail-oriented approach. Excellent communication skills and experience working with remote/offshore teams. Prior exposure to agile methodologies and DevOps practices. Familiarity with other Azure data services (e.g., Azure Synapse Analytics, Azure Blob..etc). Knowledge of data modeling, ETL processes, and data warehousing concepts. Excellent problem-solving skills and the ability to work independently or as part of a team. Strong communication and interpersonal skills to collaborate effectively with various teams and understand business requirements. Certifications in Azure Data Engineering or related fields. Experience with machine learning and data science projects (huge plus). Knowledge of additional BI tools and data integration platform

AI Engineer Enterprise Agent Development Experience: 3 - 5 Years Exp Salary : INR 16-20 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 3:00PM to 12:00AM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : LangChain, LLM, ML Ops, AWS, Docker, Python Good to have skills : open-source, Palantir, privacy techniques, rag, Snowflake B2B SaaS (One of Uplers' Clients) is Looking for: AI Engineer Enterprise Agent Development who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Join the Team Revolutionizing Procurement Analytics at SenseCloud Imagine working at a company where you get the best of all worlds: the fast-paced execution of a startup and the guidance of leaders whove built things that actually work at scale. Were not just rethinking how procurement analytics is done were redefining them. At Sensecloud, we envision a future where Procurement data management and analytics is as intuitive as your favorite app. No more complex spreadsheets, no more waiting in line to get IT and analytics teams attention, no more clunky dashboards just real-time insights, smooth automation, and a frictionless experience that helps companies make fast decisions. If youre ready to help us build the future of procurement analytics, come join the ride. You'll work alongside the brightest minds in the industry, learn cutting-edge technologies, and be empowered to take on challenges that will stretch your skills and your thinking. If youre ready to help us build the future of procurement, analytics come join the ride. About the Role Were looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problemsthink automated research assistants, data-driven copilots, and workflow optimizers. Youll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers ecosystems. What you'll do: Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security. Must-Have Technical Skills 35 years software engineering or ML experience in production environments. Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus. Hands-on with at least one LLM/agent frameworks and platforms (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar). Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines. Core Soft Skills Product mindset: translate ambiguous requirements into clear deliverables and user value. Communication: explain complex AI concepts to both engineers and executives; write crisp documentation. Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others. Bias for action: experiment quickly, measure, iteratewithout sacrificing quality or security. Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space. Nice-to-Haves Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake). Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns. Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas). Familiarity with Palantir/Foundry. Knowledge of privacy-enhancing techniques (data anonymization, differential privacy). Prior work on conversational UX, prompt marketplaces, or agent simulators. Contributions to open-source AI projects or published research. Why Join Us? Direct impact on products used by Fortune 500 teams. Work with cutting-edge models and shape best practices for enterprise AI agents. Collaborative culture that values experimentation, continuous learning, and worklife balance. Competitive salary, equity, remote-first flexibility, and professional development budget. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: SenseCloud.ai is a procurement-focused data and AI company that offers a self-service analytics platform designed to simplify complex procurement processes. Their business model centers on providing intuitive, AI-driven tools that empower procurement professionals to derive insights without the need for IT or data science expertise. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Role & responsibilities Urgent Hiring for one of the reputed MNC Immediate joiners Only Females Bang / Pune / Hyd Exp - 4 - 12 Years Job Description: Senior Data Scientist - Multi-Agent AI Systems About the Role We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Key Responsibilities Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication Build, train, and fine-tune generative AI models for various applications within multi-agent systems Develop robust evaluation frameworks to measure and improve multi-agent system performance Implement efficient knowledge sharing mechanisms between AI agents Write clean, efficient, and well-documented Python code for production-ready AI systems Collaborate with cross-functional teams to integrate multi-agent systems into broader product ecosystems Stay at the forefront of AI research and incorporate state-of-the-art techniques into our solutions Required Qualifications Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field 4+ years of professional experience in data science or machine learning engineering Extensive experience with Python programming and related data science/ML libraries Demonstrated expertise in developing and deploying generative AI models (e.g., LLMs, diffusion models) Proven experience building RAG-based systems and implementing vector databases Strong background in prompt engineering for large language models Experience designing and implementing generative AI-based multi-agent architectures Excellent problem-solving skills and ability to optimize complex AI systems Preferred candidate profile Experience with LangChain, AutoGPT, CrewAI, or similar frameworks for building agent-based systems Familiarity with orchestration tools for managing complex AI workflows Knowledge of agent communication protocols and collaborative problem-solving frameworks Experience with distributed systems and cloud computing platforms (AWS, GCP, Azure) Contributions to open-source AI projects or research publications in relevant fields Experience with knowledge graphs and semantic reasoning systems Familiarity with MLOps practices and deployment of AI systems at scale

Role & responsibilities Job Description: The ideal candidate will have a proven track record of working across the tech stack, from backend systems and APIs to frontend user interfaces, ensuring a seamless integration of AI models into production ready systems. The candidate will need to demonstrate he or she has a strong technical background, is curious, experienced with leading teams, and has exceptional communication and problem-solving skills. Key responsibilities include: Lead the design and build of scalable web and cloud-based applications integrating generative AI models. Collaborate with the Lead Data Architect to define system architecture, select appropriate tools and frameworks, and ensure best practices in software design and development. Build and maintain a robust agentic architecture, APIs, and microservices using technologies such as Python and Node.js or similar. Develop user friendly, responsive user interfaces using technologies such React and Angular. Design and maintain Azure based infrastructure for hosting and scaling AI solutions. Monitor and improve system performance. Implement best practices for secure and scalable application design, data storage, and API handling. Work closely with cross-functional team members, including Product Owners, Scrum Master, Lead Data Architect, UI/UX, and Application Owners to ensure the end-to-end delivery of user stories and features. Participate in Scrum ceremonies and actively maintain your cards on the scrum board. Maintain comprehensive technical documentation for all systems and processes. Provide technical guidance and mentorship to junior engineers, conduct code reviews, and foster a culture of growth and learning. Skills and Abilities: Proven experience in backend development using Python and Node.js. Advanced frontend development skills using React or Angular with a deep understanding of component-based architecture. Hands-on knowledge and experience with Microsoft Azure cloud services, including Azure Foundry, Functions, Blob, and container tools such as Azure Kubernetes. Ability to design and manage data pipelines ensures high-quality data is available for AI model training and deployment. Strong knowledge and experience working with structured and unstructured data that span across SQL databases and NoSQL databases such as MongoDB or CosmosDB. Experience with various AI tools like LangChain, Autogen, and LangGraph. Experienced in developing APIs and API management. Experience building and working with CI/CD pipelines and version control tools like GIT. Experience developing and delivering event driven architectures. Experience in using and implementing open-source large language models such as Llama, Mistral, and assorted embedding models Experience doing prompt engineering. Experience working with agile delivery methodologies and working in an agile delivery team. Ability to listen, build rapport, and credibility within IT and across various business units. Ability to lead and guide junior engineers. Curious. Stays abreast of current and upcoming technologies and tools.