696 Langchain Jobs - Page 26

Role Overview: As a Data Scientist, you will lead the development of advanced analytics and Generative AI (GenAI) solutions that deliver measurable impact for clients. You will combine deep technical knowledge in machine learning and GenAI with solid software engineering practices to build scalable, robust tools and applications. Responsibilities: Design, build, and deploy advanced analytics and GenAI solutions, including custom agents and LLM-integrated applications. Lead the development of modular, maintainable, and production-ready codebases using best practices in software engineering (e.g., version control, testing, CI/CD). Build interactive apps and dashboards using frameworks like Streamlit, enabling seamless business interaction with AI tools. Develop APIs and microservices to integrate GenAI tools with client systems or platforms. Identify and mitigate risks associated with GenAI (e.g., hallucination, bias, privacy, regulatory concerns), and implement robust logging, monitoring, and evaluation mechanisms. Translate complex analytical and AI concepts into clear recommendations for business and technical stakeholders. Coach and mentor junior data scientists, ensuring high-quality code and technical growth across the team. Collaborate with data engineers, DevOps, and product managers to ensure end-to-end solution delivery. Qualifications: 5+ years of experience in data science, with strong experience delivering ML or GenAI models and applications in production. Proficiency in Python with strong command of relevant libraries (e.g., pandas, scikit-learn, PyTorch, LangChain, FastAPI). Solid software engineering skills: experience with Git, testing frameworks (e.g., pytest), CI/CD pipelines (e.g., GitHub Actions, GitLab CI), and packaging/distribution of code. Experience building modular architectures for GenAI applications and agents (e.g., using LangChain, OpenAI function calling, vector stores).

Job Title: AI Developer Supply Chain Management Location: Permanent Remote Job Type: Full-time Team: Product AI Engineering We are looking for a talented LLM Developer to join our AI Engineering team and contribute to the development of the SCM Expert AI Agent the core brain behind AI capabilities like demand forecasting, anomaly detection, ETA prediction, and route optimization in the FarmToPlate (F2P) platform. In this role, you will focus on integrating and optimizing LLM-based agentic architectures using frameworks like LangChain, CrewAI, and RAG pipelines. Youll work closely with traditional ML developers and backend engineers to deploy intelligent, explainable, and real-time decision agents for supply chain management. Responsibilities: Design, build, and optimize LLM-based agents using LangChain, CrewAI, or custom wrappers. Implement RAG pipelines with vector stores (e.g., FAISS, ChromaDB) and embedding models. Develop LLM-powered tools for demand forecasting, query understanding, anomaly explanations, and summarization. Integrate agents with internal and external data sources using tools like MongoDB, Sklearn datasets, or Browsing Agents. Implement prompt engineering, agent memory, and context-chaining for more dynamic agent behavior. Collaborate with data science and product teams to translate SCM logic into agentic workflows. Expose models and agents through APIs using FastAPI, including role-based access if needed. Optimize runtime performance with quantization, PEFT (parameter-efficient finetuning), and model caching. Track experiments, versions, and deployment artifacts using tools like MLflow, SageMaker, or custom registries. Requirements: 3-5 years of experience working on Python-based AI systems. Strong understanding of LLMs, Transformers, Prompt Engineering, and conversational AI. Hands-on experience with LangChain, CrewAI, OpenAI/GPT APIs, or Hugging Face Transformers. Familiarity with RAG concepts, vector databases (FAISS, Chroma), and embedding techniques. Good knowledge of API frameworks (FastAPI/Flask) and working with JSON schema-driven inputs. Basic understanding of traditional ML models and workflows (e.g., regression, classification, anomaly detection). Comfortable integrating external data tools and APIs into LLM pipelines. Bonus Points For Experience building Agentic RAG systems that combine logic, tools, memory, and models. Knowledge of Open Source LLM tuning using PEFT, LoRA, bitsandbytes, Unsloth, etc. Familiarity with SageMaker, EKS, or deploying custom models to the cloud. Experience in supply chain/logistics, or working with ERP/SCM structured data. Built monitoring dashboards using Evidently.ai or similar model observability tools. Why Join Us Be part of a domain-driven AI platform blending supply chain expertise with modern agentic LLM architectures. Work on real-world use cases that impact farm-to-plate food systems at scale. Collaborate with a fast-moving, cross-functional team that values innovation, ownership, and outcome. Learn and grow in a modular, full-stack AI environment where your ideas become deployed APIs. Enjoy flexibility in remote, experimentation, and continuous learning.

3+ years of professional frontend development experience Strong skills in React, React Native, TypeScript, HTML, and CSS Experience building mobile and web apps with shared component libraries Required Candidate profile Develop frontend features in React (web) and React Native (mobile) • Build responsive dashboards, mobile tools, and planning interfaces for AI agents • Integrate geospatial visualizations

5+ years of professional experience in software engineering, preferably in ML/AI environments Strong command of Python 3, including data science/ML libraries (Pandas, NumPy, Scikit-learn, proficient in React and OO languages like Java or C# Required Candidate profile Design and develop AI-powered agents to improve decision-making and automation in real world scenarios Build and implement agent workflows using LLMs and orchestration frameworks like LangGraph

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

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

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

Job description : We are hiring for - Agentic AI Engineer Agentic AI Developer Role & responsibilities Proven experience in developing AI agents, generative AI applications, or multi-agent systems. Expertise in Large Language Models (LLMs) such as GPT, T5, BERT, etc., and experience with transformer architectures. Hands-on experience with Retrieval-Augmented Generation (RAG) and Agentic RAG frameworks. Familiarity with agent-based frameworks (e.g., OpenAI Gym, LangChain, Rasa, Ray RLLib, etc.). Experience in reinforcement learning, supervised learning, and unsupervised learning to enhance agent capabilities. Proficiency in NLP techniques and frameworks (e.g., spaCy, Hugging Face Transformers). Strong coding skills in Python, with experience using libraries such as TensorFlow, PyTorch, and Hugging Face for AI model development. Experience with cloud platforms (AWS, GCP, Azure) for scalable deployment and containerization (e.g., Docker, Kubernetes). Ability to innovate and solve complex problems in real-world settings using generative models and intelligent agents. Strong communication skills and the ability to work in cross-functional teams, collaborating with data scientists, product managers, and other stakeholders. Ability to integrate external data sources, APIs, or databases into AI agent workflows for dynamic decision-making and knowledge retrieval. Perks and benefits: Make an Impact: Be at the forefront of AI innovation, shaping the future of work. Exciting Challenges: Work on cutting-edge technology that automates manual tasks, transforming industries and businesses globally. Growth Opportunities: Grow with us as we aim to reach $15M in revenue, 1,000 customers, and expand across the US & Europe. Dynamic Team: Join a team of passionate, ambitious individuals who are driven by our mission and values.

Way of working - Work from office (5 days a week) Job Title: Software Development Engineer III Location: Bangalore Tenure: 5 to 7 years Position Overview: As an SDE III at Swiggy, you will play a pivotal role in designing and architecting intelligent systems with a strong emphasis on Agentic AI and multi-agent frameworks. You will contribute to the development of cutting-edge Conversational AI platforms using technologies like Langchain, Langraph, and LLMs from providers such as OpenAI, Anthropic (Claude), Bedrock, Azure, and others. Your responsibilities include owning end-to-end architecture for your team's systems, co-driving the team's technical vision, and transforming product requirements into scalable, production-grade AI solutions. Collaboration with cross-functional product and business teams will be essential to translate product features into intelligent, agent-driven designs and drive the delivery of high-impact applications. What qualities are we looking for . B Tech/M Tech in Computer Science or equivalent from a reputed college with minimum 5+ years of Experience in Product Development Company . Experience working with AI agents, including multi-agent architectures. . Familiarity with agentic AI systems and conversational AI platforms. . Practical knowledge of LLMs (Large Language Models), including integration with providers like OpenAI, Anthropic (Claude), Bedrock, Falsh, and Azure OpenAI. . Strong design skills involving data modeling and low level class design . Good knowledge of object oriented programming and design pa erns . Proficiency in at least one programming language - Python, Java, Golang . Follow industry coding standards and responsible for writing maintainable/scalable/efficient code to solve business problems . Hands-on experience of working with Databases and Linux/Unix platform . Hands-on experience with Langchain or LangGraph for building AI-driven workflows and orchestration. . Strong technical aptitude and good knowledge of CS fundamentals . What will you get to do here . Coming up with best practices to help the team achieve their technical tasks and continually thrive in improving the technology of the product/team. . Driving the adoption of best practices & regular Participation in code reviews, design reviews, architecture discussions. . Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create . Implementation of long term technology vision for your team. . Creating architectures & designs for new solutions around existing/new areas . Decide technology & tool choices for your team & be responsible for them. Visit our tech blogs to learn more about some of the challenging Problem Statements the team works at:- . https://bytes.swiggy.com/engineering-challenges-at-swiggy-430dea6c86a3 . https://bytes.swiggy.com/the-swiggy-delivery-challenge-part-one-6a2abb4f82f6 . https://bytes.swiggy.com/what-serviceability-means-at-swiggy-c94c1aad352a . https://bytes.swiggy.com/architecture-and-design-principles-behind-the-swiggys-delivery-partner s-app-4db1d87a048a . https://bytes.swiggy.com/swiggy-distance-service-9868dcf613f4 . https://bytes.swiggy.com/the-tech-that-brings-you-your-food-1a7926229886 We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.

Responsibilities: * Develop cutting-edge Agentic AI solutions using Langchain, Langgraph & OpenAI technologies. * Collaborate with cross-functional teams on project delivery and knowledge sharing. Health insurance Work from home

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

Role & responsibilities Design and build AI-powered features that help customers configure integrations, transform data, and resolve errors using natural language and intelligent automation. Lead the implementation of Retrieval-Augmented Generation (RAG) pipelines that combine LLMs with real-time data from customer environments. Integrate Azure OpenAI services and develop optimized prompt strategies for scalable use across our iPaaS platform. Implement and manage vector databases such as Milvus , FAISS , Pinecone , or Azure Cognitive Search to support contextual retrieval and semantic search. Build intelligent AI agents using frameworks like LangChain or Semantic Kernel that can perform step-by-step automation across integration workflows. Collaborate with product and UX teams to embed AI in user-centric ways that simplify complexity and improve customer outcomes. Ensure scalable and reliable deployments through best practices in Docker , Kubernetes , and CI/CD pipelines . AI Engineer Full Time (Permanent) Noida Preferred candidate profile 5-8 years of experience in AI/ML engineering, including production systems. Strong experience with LLMs , prompt engineering , and designing AI features. Proven track record building and deploying RAG pipelines and using vector search effectively. Experience with vector databases like Milvus , FAISS , Pinecone , or Azure Cognitive Search . Hands-on experience with Azure OpenAI , including GPT models and embedding APIs. Experience developing AI Agents with LangChain or Semantic Kernel. Solid Python skills and familiarity with Hugging Face Transformers. Background in natural language processing (NLP) , unstructured data processing , or knowledge graph development . Proficiency in containerization ( Docker , Kubernetes ) and CI/CD for scalable deployments.

Job Summary We are hiring a Junior AI Engineer to design and implement AI-driven automation solutions. You'll work with cross-functional teams to streamline operations and reduce manual tasks using machine learning, APIs, and scripting. Training will be provided , making this a great opportunity for candidates with a strong foundation and a desire to grow in AI and automation. Responsibilities Automate repetitive tasks using AI/ML or Python scripting. Integrate AI features into web apps with development teams. Connect ML models to systems like Frappe/ERPNext via APIs. Build and maintain clean, well-documented automation workflows. Prototype tools using speech-to-text , OCR , or computer vision . Stay updated on new AI tools and suggest improvements. Qualifications: Proficient in Python and basic scripting. Exposure to AI/ML through projects, coursework, or certifications. Familiar with OpenCV, Numpy, Pandas, or PyTorch. Experience or familiarity with Large Language Models (LLMs) and Generative AI technologies (e.g., GPT, Grok). Hands-on experience or understanding of LangChain and its applications in building LLM-powered workflows. Understanding of APIs and web integrations. Bachelors degree (or pursuing) in Computer Science, Data Science, Engineering, or a related field. Strong problem-solving skills and eagerness to learn.

Python -GenAI and ML - J49048 Key Responsibilities End-to-End GenAI Development o Design and build GenAI applications using LLMs (e.g., LLaMA, Mistral, GPT-J, Falcon, Claude, etc.) o Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases like FAISS, ChromaDB, or Weaviate o Create and tune prompt templates, guardrails, and output parsers using tools like LangChain, Haystack, or LlamaIndex Agentic AI & Autonomy o Develop AI agents that use planning, memory, tools, and self-reflection (e.g., using AutoGen, CrewAI, or LangGraph) o Build task-oriented chains with autonomous behaviors for decision-making and workflow automation Model Training & Fine-Tuning o Perform SFT on open-source models using libraries like HuggingFace Transformers, PEFT, LoRA, or QLoRA o Evaluate model performance using GenAI metrics and frameworks (e.g., DeepEval, TruLens) ML System Integration o Use ML libraries like Scikit-learn, TensorFlow, PyTorch, and XGBoost to integrate traditional ML pipelines alongside GenAI components o Develop APIs and microservices (using FastAPI, Flask) to expose GenAI/ML services Security, Observability & Control Required Candidate profile Candidate Experience Should Be : 1 To 3 Candidate Degree Should Be : BE-Comp/IT

Key deliverables: Develop AI automation scripts using Python and OpenAI API Deploy GenAI solutions and workflows in Azure Implement LLM-powered applications with Langchain Integrate AI tools with Azure Cognitive and Bot Services Role responsibilities: Design and build scalable AI/ML models and pipelines Lead Azure-based GenAI deployments and orchestration Collaborate with data scientists and developers on solution design Optimize model performance and ensure reliability in production

Key deliverables: Develop AI automation scripts using Python and OpenAI API Deploy GenAI solutions and workflows in Azure Implement LLM-powered applications with Langchain Integrate AI tools with Azure Cognitive and Bot Services Role responsibilities: Design and build scalable AI/ML models and pipelines Lead Azure-based GenAI deployments and orchestration Collaborate with data scientists and developers on solution design Optimize model performance and ensure reliability in production

Key deliverables: Develop AI automation scripts using Python and OpenAI API Deploy GenAI solutions and workflows in Azure Implement LLM-powered applications with Langchain Integrate AI tools with Azure Cognitive and Bot Services Role responsibilities: Design and build scalable AI/ML models and pipelines Lead Azure-based GenAI deployments and orchestration Collaborate with data scientists and developers on solution design Optimize model performance and ensure reliability in production

Key Responsibilities: Deliver engaging and interactive training sessions (24 hours total) based on structured modules. Teach integration of monitoring, logging, and observability tools with machine learning. Guide learners in real-time anomaly detection, incident management, root cause analysis, and predictive scaling. Support learners in deploying tools like Prometheus, Grafana, OpenTelemetry, Neo4j, Falco, and KEDA. Conduct hands-on labs using LangChain, Ollama, Prophet, and other AI/ML frameworks. Help participants set up smart workflows for alert classification and routing using open-source stacks. Prepare learners to handle security, threat detection, and runtime anomaly classification using LLMs. Provide post-training support and mentorship when necessary.

Job Title: AI/ML and Chatbot Lead Experience Level: 10+ Years (Lead/Architect level) Location: Remote Employment Type: Full-time No. of Positions: 1 Job Overview: We are seeking a visionary and hands-on AI/ML and Chatbot Lead to spearhead the design, development, and deployment of enterprise-wide Conversational and Generative AI solutions. This role will establish and scale our AI Lab function, define chatbot and multimodal AI strategies, and deliver intelligent automation solutions that enhance user engagement and operational efficiency. Key Responsibilities Define and lead the enterprise-wide strategy for Conversational AI, Multimodal AI, and Large Language Models (LLMs). Build an AI/Chatbot Lab , creating a roadmap and driving innovations across in-app, generative, and conversational AI. Architect scalable AI/ML systems including presentation, orchestration, AI, and data layers. Collaborate with business stakeholders to assess needs, conduct ROI analyses, and deliver impactful AI use cases. Identify and implement agentic AI capabilities and SaaS optimization opportunities. Deliver POCs, pilots, and MVPs owning the design, development, and deployment lifecycle. Lead, mentor, and scale a high-performing team of AI/ML engineers and chatbot developers . Build multi-turn, memory-aware conversations using frameworks like LangChain or Semantic Kernel . Integrate bots with platforms like Salesforce, NetSuite, Slack , and custom applications via APIs/webhooks. Implement and monitor chatbot KPIs using tools like Kibana , Grafana , and custom dashboards. Champion ethical AI , governance, and data privacy/security best practices. Must-Have Skills 10+ years in AI/ML; demonstrable success in chatbot, conversational AI , and generative AI implementations. Experience building and operationalizing an AI/Chatbot architecture framework used enterprise-wide. Expertise in: Python , LangChain, ElasticSearch, NLP (spaCy, NLTK, Hugging Face) LLMs (e.g., GPT, BERT), RAG, prompt engineering Chatbot platforms (Azure OpenAI, MS Bot Framework), CLU, CQA AI solution deployment and monitoring at scale Familiarity with: Machine learning algorithms, deep learning, reinforcement learning NLP techniques for NLU/NLG Cloud platforms ( AWS, Azure, GCP ), Docker , Kubernetes Vector DBs (Pinecone, Weaviate, Qdrant) Semantic search, knowledge graphs, intelligent document processing Strong grasp of AI governance , documentation, and compliance standards Excellent team leadership, communication, and documentation skills Good-to-Have Skills Experience with Glean , Perplexity.ai , Rasa , XGBoost Familiarity with Salesforce , NetSuite , and business domains like Customer Success Knowledge of RPA tools like UiPath and its AI Center Role & responsibilities Interested candidate can call at 7087707007

Minimum experience: 5 years. Basic Guidelines : Ensure all submitted CVs are up to date. Maximum Notice Period 3 weeks Willingness to go for face 2 face interview in 24 hours. Employment verification 5 years and 7 years criminal background check. No fake and proxy interviews. Vendors will be blacklisted by TSI/ our Client, if guilty. Maintain the below tracker. Java Fullstack developer Primary skills: Java 8/11, Spring boot, Microservices, Rest API, UI REACT JS, REDUX Location: Bangalore and Chennai 2. Python + UI/API developer Primary skills: Python, Rest API, UI REACT JS, REDUX Location: Gurgaon 3.UI Engineer Primary skills: UI REACT JS, REDUX, JavaScript,ES6/Typescript,HTML5,CSS3,Bootstrap) Secondary skills: Java 8/11, Spring boot, Microservices, Rest API Location: Gurgaon and Bangalore 4. API Automation tester + Java scripting API Automation testing, Java scripting, SQL, MongoDB, Selenium Secondary skills: Rest assured / karate, Cucumber framework. DB Concepts, json queries Location: Bangalore and Gurgaon Job Description: 5+ years in Quality Assurance and testing. Demonstrated experience with Java or Python. Good experience in API automation using Selenium (Rest Assured or any other framework for automation and POSTMAN for manual). Preferably worked on creating frameworks. Must be well versed in BDD Cucumber frameworks. Working knowledge of MySQL and its implementation. Experience in creating scripts through REST APIs. Able to manage multiple work streams, independent, able to communicate well. Required Details Candidate's Full Name (As per passport): Contact Number: Email ID: Passport: LinkedIn ID link: Location (City & State): Relocation (Yes / No): Availability to join the project: Total working Experience: Currently on project (Yes/No): Have you Ever worked with Client: (If yes details) Any Interviews Pending: Any Offers in hand: Have you been submitted by Client: Any Issue with BGC: Bachelors details: Masters details: Rate: please submit your resumes to Naveen@tanishasystems.com

Job Description: Oracle Cloud Infrastructure (OCI) is a pioneering force in cloud technology, merging the agility of startups with the robustness of an enterprise software leader. Within OCI, the Oracle Generative AI Service team spearheads innovative solutions at the convergence of artificial intelligence and cloud infrastructure. As part of this team, you'll contribute to large-scale cloud solutions utilizing cutting-edge machine learning technologies, aimed at addressing complex global challenges. Join us to create innovative solutions using top-notch machine learning technologies to solve global challenges. We're looking for an experienced Principal Applied Data Scientist to join our OCI Gen-AI Solutions team for strategic customers. In this role, you'll collaborate with applied scientists and product managers to design, develop, and deploy tailored Gen-AI solutions with an emphasis on Large Language Models (LLMs), Agents, MPC and Retrieval Augmented Generation (RAG) with large OpenSearch clusters. As part of the OCI Gen AI and Data Solutions for strategic customers team, you will be responsible for developing innovative Gen AI and data services for our strategic customers.As a Principal Applied Data Scientist, you'll lead the development of advanced Gen AI solutions using the latest ML technologies combined with Oracle's cloud expertise. Your work will significantly impact sectors like financial services, telecom, healthcare, and code generation by creating distributed, scalable, high-performance solutions for strategic customers. Work directly with key customers and accompany them on their Gen AI journey - understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers. You will dive deep into model structure to optimize model performance and scalability. You will build state of art solutions with brand new technologies in this fast-evolving area. You will configure large scale OpenSearch clusters, setting up ingestion pipelines to get the data into the OpenSearch. You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned. Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. Be an enthusiastic, self-motivated, and a great collaborator. Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. Qualifications and experience Bachelors or master's in computer science or equivalent technical field with 10+ years of experience Able to optimally communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations). Demonstrated experience in designing and implementing scalable AI models and solutions for production,relevant professional experience as end-to-end solutions engineer or architect (data engineering, data science and ML engineering is a plus), with evidence of close collaborations with PM and Dev teams. Experience with OpenSearch, Vector databases, PostgreSQL and Kafka Streaming. Practical experience with setting up and finetuning large OpenSearch Clusters. Experience in setting up data ingestion pipelines with OpenSearch. Experience with search algorithms, indexing, optimizing latency and response times. Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. Familiarity with Agents and Agent frameworks and Model Predictive Control (MPC) Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. Ability and passion to mentor and develop junior machine learning engineers. Proficient in Python and shell scripting tools. Preferred Qualifications : Masters or Bachelor's in related field with 5+ years relevant experience Experience with RAG based solutions architecture. Familiarity in OpenSearch and Vector stores as a knowledge store Knowledge of LLM and experience delivering, Generative AI And Agent models are a significant plus. Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. Experience with semantic search, multi-modal search and conversational search. Experience in working on a public cloud environment, and in-depth knowledge of IaaS/PaaS industry and competitive capabilities.Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc. Experience with LLM fine-tuning, especially the latest parameter efficient fine-tuning technologies and multi-task serving technologies. Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers). Experience in diagnosing, fixing, and resolving issues in AI model training and serving. Career Level - IC4

We're looking for an experienced AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. Youll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a foundational hire for a technically ambitious platform. Key Responsibilities AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retrieval-augmented generation (RAG) pipelines for contextual responses. Data Pipelines & Knowledge Management: Build secure data pipelines to ingest, embed, and serve tenant-specific knowledge bases (FAQs, scripts, product docs) using vector databases (e.g., Pinecone, Weaviate). Voice & Text Interfaces: Implement and optimize multimodal agents (text + voice) using ASR (e.g., Whisper), TTS (e.g., Polly), and NLP for automated qualification and call handling. Conversational Flow Orchestration: Design dynamic, stateful conversations that can take actions (e.g., book meetings, update CRM records) using tools like LangChain, Temporal, or n8n. Platform Scalability: Ensure models and agent workflows scale across tenants with strong data isolation, caching, and secure API access. Lead a Cross-Functional Team: Collaborate with backend, frontend, and DevOps engineers to ship intelligent, production-ready features. Monitoring & Feedback Loops: Define and monitor conversation analytics (drop-offs, booking rates, escalation triggers), and create pipelines to improve AI quality continuously. Qualifications Must-Haves: 5+ years of experience in ML/AI, with at least 2 years leading conversational AI or LLM projects. Strong background in NLP, dialog systems, or voice AI preferably with production experience. Experience with OpenAI, or open-source LLMs (e.g. LLaMA, Mistral, Falcon) and orchestration tools (LangChain, etc.). Proficiency with Python and ML frameworks (Hugging Face, PyTorch, TensorFlow). Experience deploying RAG pipelines, vector DBs (e.g. Pinecone, Weaviate), and managing LLM-agent logic. Familiarity with voice processing (ASR, TTS, IVR design). Solid understanding of API-based integration and microservices. Deep care for data privacy, multi-tenancy security, and ethical AI practices. Nice-to-Haves: Experience with CRM ecosystems (e.g. Salesforce, HubSpot) and how AI agents sync actions to CRMs. Knowledge of sales pipelines and marketing automation tools. Exposure to calendar integrations (Google Calendar API, Microsoft Graph). Knowledge of Twilio APIs (SMS, Voice, WhatsApp) and channel orchestration logic. Familiarity with Docker, Kubernetes, CI/CD, and scalable cloud infrastructure (AWS/GCP/Azure). What We Offer Founding team role with strong ownership and autonomy Opportunity to shape the future of AI-powered sales Flexible work environment Competitive salary Access to cutting-edge AI tools and training resources Post your resume and any relevant project links (GitHub, blog, portfolio) to career@sourcedeskglobal.com. Include a short note on your most interesting AI project or voicebot/conversational AI experience.

Role: AI Engineer Microsoft CoPilot Experience: 4 - 8 Years Location: Pune. Mandatory Skills: Microsoft Copilot, Gen AI, Azure AI, LLM, Langchain, RAG. Notice Period: Immediate Joiners Job Description: Requirements: Bachelors or Master’s degree in Computer Science, Data Science, or a related field. Proven experience in developing and deploying AI/ML models in real-world applications. Strong programming skills, especially in Python, and familiarity with version control systems like Git. Extensive experience in the Microsoft environment, with expertise in CoPilot and related technologies. Excellent problem-solving and communication skills. Ability to work independently and collaboratively in a fast-paced, dynamic environment. Responsibilities: Agent Development: Design, implement, and optimize AI agents using Microsoft CoPilot and related technologies. Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration: Deploy AI solutions within client environments, ensuring scalability and seamless integration with exiiting systems. Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation: Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support: Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement: Stay updated on advancements in AI, machine learning, and Microsoft’s AI technologies. Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills: Strong knowledge of Microsoft Power Automate, Azure AI, and CoPilot features. Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. Understanding of conversational AI technologies and chatbot frameworks. Experience with data analysis tools and techniques to uncover insights and optimize models.

Hiring AI & Data Retrieval Engineer with expertise in NLQ, Text-to-SQL, LLMs, LangChain, pgVector, PostgreSQL, vector search, Python, AI libraries, Agentic AI & API integration. Exp with NLP, RAG, BI tools, live projects & LLM fine-tuning preferred.

Role - Senior Data Scientist / Senior Gen AI Engineer Exp Range - 8 to 18 yrs Position - Permanent Fulltime Company - Data Analytics & AIML MNC Location - Hyderabad, Pune, Bangalore (Relocation accepted) About the Role: We are seeking a Software Engineer with expertise in Generative AI and Microsoft technologies to design, develop, and deploy AI-powered solutions using the Microsoft ecosystem. You will work with cross-functional teams to build scalable applications leveraging generative AI models and Azure services. Skills Required: Experience with Large Language Models (LLMs) like GPT, LLaMA, Claude, etc. Proficiency in Python for building and fine-tuning AI/ML models Familiarity with LangChain , LLMOps , or RAG (Retrieval-Augmented Generation) pipelines Experience with Vector Databases (e.g. FAISS, Pinecone, Weaviate) Knowledge of Prompt Engineering and model evaluation techniques Exposure to cloud platforms (Azure, AWS or GCP) for deploying GenAI solutions Preferred Skills: Experience with Azure OpenAI , Databricks or Microsoft Fabric Hands-on with Hugging Face Transformers , OpenAI APIs or custom model training