93 Llamaindex Jobs - Page 3

As a Gen AI Engineer, you will be responsible for developing and implementing AI models using cutting-edge technologies such as GPT-4, ChatGPT, and Hugging Face Transformers. Your primary duties will involve designing and refining AI-generated text prompts, utilizing LangChain for various AI applications, and integrating LlamaIndex to enhance AI solutions. Furthermore, you will work with vector databases and cache databases to efficiently manage large-scale AI data, as well as develop and integrate multi-modal foundation models to support diverse AI applications. Your role will also include applying AI-specific utilities and data analysis methods to improve AI models, developing and managing LLM agents, and collaborating with cross-functional teams to integrate AI solutions into broader applications. To excel in this role, you should have proven hands-on experience with LangChain, proficiency in vector databases and cache databases, and familiarity with multi-modal foundation models and relevant frameworks. Additionally, expertise in designing AI-generated text prompts, using AI utilities such as ChatGPT and Hugging Face Transformers, and developing intelligent agents are essential qualifications. Strong problem-solving, analytical, communication, and collaboration skills are also required to succeed in this fast-paced and innovative environment. If you have a passion for AI technologies, a drive for innovation, and a desire to contribute to cutting-edge AI solutions, this role as a Gen AI Engineer in Indore/Pune could be the perfect opportunity for you.,

In the Development & IT department, you will be responsible for the development, support, maintenance, and operation of Adform Flow. The primary focus is to ensure the delivery of a stable and competitive product to clients, emphasizing client value both internally and externally. As a part of the AI efforts, you will collaborate with a cross-functional international Agile team comprising data scientists, engineers, product managers, and leaders across various global locations. You are expected to: - Be part of the Gen AI team driving customer behavior change towards intuitiveness - Develop RAG pipelines for AI Model Training - Collaborate closely with development and product teams for software implementation - Act as a technical challenger to enhance team knowledge and mutual improvement opportunities To excel in this role, you should possess: - A Bachelor's degree in Computer Science or equivalent Engineering - Proficiency in Python Development and working knowledge of libraries like pandas, requests, Numpy, etc. - Familiarity with LLM frameworks such as Langchain or LlamaIndex is a plus - Experience with web frameworks like FastAPI or Flask for API development - Ability to build microservices using GQL/REST APIs for model access - Proficiency in building CI/CD pipelines and experience with Github Action - Knowledge of Docker and Kubernetes for containerization and orchestration - Strong understanding of Postgres SQL with vector search extensions like pgvector for Storage - Effective communication and documentation skills - Open & Caring, Agile and Innovative, Ownership Mindset Additional qualifications that will make you stand out include: - Knowledge of web technologies and Ad Tech industry solutions As part of the team, you can expect: - Short-term international travel requirements - Daily learning and growth opportunities with exposure to modern technologies - Collaboration with experts from different countries and offices worldwide - Working in a professional, dynamic, and client-focused environment - Inclusive and diverse work environment commitment - Challenging tasks with a creative problem-solving approach and ownership - Team collaboration to achieve common goals - Ambitious growth opportunities shared with you - Encouragement of courage and learning from mistakes - Health insurance, extra vacation days, enhanced maternity, and paternity leave policies Adform is a global, independent advertising platform designed for modern marketing. The Adform FLOW technology offers a user-friendly experience and a scalable, modular, and open architecture for seamless campaign lifecycle management. Clients benefit from enhanced control, transparency, and data ownership throughout their advertising operations. Since 2002, Adform has been leveraging technology to enhance business results for clients worldwide through human/machine collaboration and augmented intelligence.,

Job title: AI Expert Total experience: 5+ years Location: Pune and Nashik Job description: • In-depth experience with the Eliza framework and its agent coordination capabilities • In-depth experience with the Agentic AI • Practical implementation experience with vector databases (Pinecone, Weaviate, Milvus, or Chroma) • Hands-on experience with embedding models (e.g., OpenAI, Cohere, or open-source alternatives) • Deep knowledge of LangChain/LlamaIndex for agent memory and tool integration • Experience designing and implementing knowledge graphs at scale • Strong background in semantic search optimization and efficient RAG architectures • Experience with Model Control Plane (MCP) for both LLM orchestration and enterprise system integration • Advanced Python development with expertise in async patterns and API design

We're Hiring | AI Lead GenAI & LLMs | 8-10 Yrs | Multiple Xebia Locations | Hybrid Locations: Bangalore | Hyderabad | Chennai | Pune | Bhopal | Jaipur | Gurugram (Hybrid 3 days/week in office) Experience: 8 to 10 years Joiners: Immediate to Max 2 Weeks Notice Period ONLY About the Role: Are you a visionary in the AI/ML space looking to build cutting-edge Generative AI solutions ? We are seeking an accomplished AI Lead who will architect and drive enterprise-grade AI systems—leveraging LLMs, deep learning models, vision AI, and GenAI . You’ll lead from the front, mentor top talent, and build transformative solutions that shape the future of intelligent applications. Key Responsibilities: Architect and implement scalable Generative AI (GenAI) and RAG solutions using LLMs , vision models , and vector databases Lead the design, development, and deployment of AI/ML and deep learning systems Integrate AI platforms with Azure AI Studio , SharePoint , and Power BI Guide the team in leveraging Agentic frameworks like LlamaIndex Align with business stakeholders to craft and deliver high-impact AI strategies Drive innovation, technical mentorship, and excellence across the AI team Establish coding best practices, performance tuning, and scalable solution design Must-Have Skills: 8–10 years of AI/ML experience, with 3+ years in leadership or architecture roles Proficiency in Python , TensorFlow , PyTorch , Scikit-learn Strong experience in LLMs , OCR , Vision AI , vector DBs , RAG Familiarity with Azure AI Studio , Azure Cloud Architecture , and Azure DevOps Exposure to Agentic frameworks and tools like LlamaIndex Basic working knowledge of Power BI and SharePoint Proven leadership and team management skills Good-to-Have: Experience with AWS or GCP Knowledge of DevOps practices , CI/CD , Kubernetes Awareness of AI ethics , governance , and compliance Exposure to advanced BI/visualization tools To Apply: Send your resume to vijay.s@xebia.com with the following details: Full Name Total Experience Current CTC Expected CTC Current Location Preferred Xebia Location (from above) Notice Period / Last Working Day (if serving) Primary Skills LinkedIn Profile Important: Apply only if you’re available to join immediately or within 2 weeks and are not currently in process with other roles at Xebia. #AIJobs #GenerativeAI #LLMs #VisionAI #XebiaHiring #ImmediateJoiners #Python #AzureAI #AIML #LeadershipHiring #DataScienceJobs #AgenticFrameworks #ChennaiJobs #PuneJobs #BangaloreJobs #HyderabadJobs #GurugramJobs #JaipurJobs #BhopalJobs #TechHiring #AILead

Responsibilities: * Design, develop & implement AI solutions using ML algorithms & NLP techniques. * Optimize performance through continuous learning & improvement. Annual bonus

You will work closely with data scientists, product teams, and developers to fine-tune LLM behavior for diverse applications including chatbots, code generation, creative writing, and data extraction.

ML Engineer is responsible to discover the information hidden in vast amounts of data and help us make smarter decisions to deliver better products. Your primary focus will be in applying machine learning techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products. Job Responsibilities: Building models using best in class ML technology including LLMs. Training/fine tuning models with new/modified training dataset. Selecting features, building, and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Processing, cleansing, and verifying the integrity of data used for analysis Enhancing data collection procedures to include information that is relevant for building analytic systems Technical skills Mandatory 5 to 10 years of experience as Machine Learning Engineer with strong Python skill. Graduate in Engineering, Technology along with good business skills Good scripting and programming skills in Python Excellent understanding of machine learning techniques and algorithms including knowledge about LLM like GPT, Llama, Claude, or Anthropic models etc. Experience with NLP. Knowledge about applied statistics skills, such as distributions, statistical testing, regression, etc. Basic understanding of NoSQL databases, such as MongoDB, Cassandra. Nice to have Exposure to financial research domain Experience with JIRA, Confluence Understanding of scrum and Agile methodologies Experience with data visualization tools, such as Grafana, power BI, GGplot, etc. Soft skills Oral and written communication skills Good problem solving and negotiation skills Passion, curiosity and attention to detail

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile Strong proficiency in Python and frameworks like TensorFlow or PyTorch. 2+ years of experience in GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Design, develop, and deploy efficient Generative AI solutions using SOTA LLMs/SLMs, RAG, and frameworks like LangChain. Fine-tune models, build workflows, ensure scalability, and document architectures while staying updated on GenAI advancements.

Immediate/Early joiners preferred. Proven expertise in building ML & GenAI apps using RAG , Agentic AI, NLP, LLMs (Langchain, LlamaIndex). Strong in Python , TensorFlow, PyTorch, Azure , Databricks , MLOps, and secure data pipelines for all data types. Gratuity Health insurance

Design, build, and productionize GenAI-powered tools and featuresusing APIs like OpenAI, Claude, etc. Help shape ourarchitecture, prompt engineering strategies, and evaluation frameworks Guide the team on when to use RAG vs. fine-tuning vs. function calling, etc. Prototype quickly, validate ideas, and help turn the best ones into durable solutions Use TDD (Test Driven Development) to ship code that is maintainable and which stay bug free Work closely with product, engineering, and data stakeholders to ship real value Mentor junior engineers, review code, and lead by example technical guidance, not bureaucracy Stay on top of GenAI trends, tools, benchmarks, and bring clarity on what s real vs. hype Responsibilities Have 6-8+ years of engineering experience, ideally across multiple companies or industries Haveshipped GenAI-powered featuresinto production (not just toy projects) Have strongprogramming and problem-solving skills Are fluent inPythonand comfortable integrating APIs, building backends, or working with embeddings Have strongproduct thinkingyou care about solving user problems, not just building cool tech Can communicate clearly across disciplines from junior devs to product managers Are comfortable working inambiguous, fast-moving environments Youve used dev tools like Cursor, Replit, or other AI coding assistants Have a learning mindset and are excited to work with folks earlier in their GenAI journey Good to have Experience withLangChain, LlamaIndex, RAG pipelines, or similar Familiar withprompt engineering,model evaluation, orLLM observability Have experimented withfunction calling, agents, or tool use Have experience withinternal tool development, scripting, or automation Active side projects, blog posts, or OSS contributions in GenAI

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Hi, Wishes from GSN! Pleasure connecting with you. About the job: We are hiring SCRUM MASTERs for a leading bootstrapped product company, a valued client of GSN HR. Job Title: Scrum Master Experience: 8+ yrs Work Loc : Bangalore Work Mode : WFO Work Timing : General CTC Range : Rs 25 LPA to Rs 30 LPA *** Strictly from DEVELOPMENT background *** ***** Looking for SHORT JOINERs ***** Who are we looking for? We are seeking a highly skilled and experienced Senior Scrum Master who will be responsible for leading Agile teams in delivering high-quality software solutions, ensuring that Scrum principles are effectively implemented and that teams are operating at peak performance. This role requires strong facilitation skills, a deep understanding of Agile methodologies, and a commitment to fostering a collaborative and innovative team environment. Technical Skills: Primary Skills 8+ years of EXP in Agile project management , with at least 3+ years as a Scrum Master . Proven EXP in leading cross-functional teams through the full Agile development lifecycle . JavaScript - Basics of JavaScript frameworks such as Node.js, React, Angular, etc. Generative AI - Knowledge of Generative AI, Gen AI based tools like GitHub Copilot, and basics on frameworks such as Langchain, Llamaindex. Strong understanding of Agile frameworks (Scrum, Kanban, etc.) and tools (e.g., JIRA, Confluence). EXP in scaling Agile practices (e.g., SAFe, LeSS) is a HUGE PLUS . Proficiency in Agile metrics and reporting to drive continuous improvement. Process Skills: Knowledge of Agile and Scrum development lifecycles along with modern project management practices. Experience in coaching teams to adopt Agile principles and practices effectively. *** Strictly from DEVELOPMENT background *** Feel free to CALL 8939666294 or click APPLY for IMMEDIATE response. Best Wishes, SHOBANA | GSN | 8939666294 | Google review : https://g.co/kgs/UAsF9W

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Pune Location-12th July 2025(Saturday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Pune Date of drive- 12th July 2025(Saturday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Req ID: 312439 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Mid Data Science & AIML, GenAI Lead/Engineer to join our team in Bangalore, Karn?taka (IN-KA), India (IN). Job Duties: Job Title: Data Science & AIML, GenAI Lead/Engineer Responsibilities: Conduct data analysis using Python. Develop AI models leveraging Langchain, LlamaIndex, and Azure OpenAI Services. Utilize Generative AI models and Natural Language Processing techniques. Implement Retrieval-Augmented Generation (RAG) solutions. Apply machine learning algorithms, data pre-processing, and manage AI lifecycle (model training, validation, monitoring). Minimum Skills Required: Qualifications: 2+ years of experience with AI Python development Bachelor's degree in computer science, Information Technology, or related field. Strong analytical skills and attention to detail. Ability to work independently or as part of a team. #GenAINTT About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Location: Hyderabad, India | Employment Type: Full-Time Experience Level: 2+Years Company: Covasant Contact Person: Ranjith Reddy 9703455109 | ranjith.palle@covasant.cm | linkedin.com/in/ranjith-r-75a766227 Build the Future of AI with Covasant At Covasant , we don't just work with AI we engineer the next era of it. We're hiring mid-level to senior developers and AI leads to help us build next-generation agentic AI systems that are intelligent, collaborative, and scalable. This is your chance to go beyond prompt engineering and shape the architecture of autonomous, multi-agent AI solutions using tools like LangGraph, AutoGen, CrewAI , and more. If youve got the skills and curiosity to work on what the AI world will be talking about next year , we want to hear from you. Your Role Design and develop multi-agent LLM systems using LangGraph, AutoGen, or CrewAI. Build and deploy MCP servers , LLM gateways , and design Agent-to-Agent collaboration flows. Fine-tune language models for verticals like healthcare, manufacturing, or finance. Architect retrieval-augmented generation (RAG) systems with vector stores like FAISS, Pinecone, or Weaviate. Integrate tools like LangSmith , GuardrailsAI , and knowledge graphs to ensure trust, safety, and observability. Collaborate cross-functionally with product, data science, and engineering teams. What You Bring 2+ years in software development, with strong Python skills. Proven expertise in one or more: LangGraph , AutoGen , CrewAI . Deep understanding of Agent-based AI , LLM orchestration , and RAG pipelines . Experience fine-tuning LLMs and applying prompt engineering and domain adaptation . Familiarity with tools like LangSmith , PromptGuard , or Guardrails frameworks. Bonus If You Have Cloud experience (AWS, Azure, GCP) Familiarity with Docker, Kubernetes Exposure to multi-modal models (LLaMA, Mistral, Falcon) Frontend tech: React, Angular, or Vue CI/CD, MLOps, or LLMOps knowledge Important We’re currently hiring mid-level, senior, and lead professionals with hands-on experience in AI/ML projects . These openings are not for freshers or professionals with less than 2 years of experience — but we are planning something exciting for early-career AI talent soon! Why Join Covasant Work on real-world agentic AI systems ahead of industry trends Collaborative and innovation-first work culture Competitive pay, benefits & performance incentives Hybrid/flexible work setup A chance to lead and influence the next chapter in AI Let’s Connect If this excites you — whether or not you're actively job hunting — don’t miss the chance to explore this game-changing opportunity. Ranjith Reddy – 9703455109 ranjith.palle@covasant.cm Connect with me on LinkedIn – I’d love to stay in touch, even if this isn’t the right time. Apply now or just start a conversation. The future of AI doesn’t wait — and neither should you.

AI/ML & GenAI Development • Proven experience in building and deploying AI/ML and Generative AI applications • Hands of experience with RAG and Agentic AI based applications • Solid understanding of deep learning and Natural Language Processing (NLP) • Strong experience with Large Language Models (LLMs) and frameworks (e.g., Langchain, LlamaIndex) • Expertise in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar • Expertise in building enterprise-grade, secure data ingestion for structured/unstructured data, including indexing, search, and advanced retrieval --- Software Development & Cloud Platforms • Strong proficiency in Python programming language • Hands-on experience with cloud platforms such as Azure and Databricks (preferred) • Strong experience in building CI/CD pipeline templates for AI software development lifecycle (SDLC), including ML Ops, RAG pipelines, and data ingestion pipelines

Req ID: 312429 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Mid Data Science & AIML, GenAI Lead/Engineer to join our team in Bangalore, Karn?taka (IN-KA), India (IN). Job Duties: Job Title: Data Science & AIML, GenAI Lead/Engineer Responsibilities: Conduct data analysis using Python. Develop AI models leveraging Langchain, LlamaIndex, and Azure OpenAI Services. Utilize Generative AI models and Natural Language Processing techniques. Implement Retrieval-Augmented Generation (RAG) solutions. Apply machine learning algorithms, data pre-processing, and manage AI lifecycle (model training, validation, monitoring). Minimum Skills Required: Qualifications: 2+ years of experience with AI Python development Bachelor's degree in computer science, Information Technology, or related field. Strong analytical skills and attention to detail. Ability to work independently or as part of a team. #GenAINTT About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Notice period: Immediate 15days Profile source: Tamil Nadu Timings: 1:00pm 10:00pm (IST) Work Mode: WFO (Mon-Fri) Job Summary: We are looking for a driven and curious Data Scientist to join our growing AI & Data Science team. The ideal candidate will have a foundational understanding of data analysis and machine learning, with a strong interest in emerging AI paradigms such as Retrieval-Augmented Generation (RAG) and agentic AI systems . This role provides an exciting opportunity to work on real-world applications of LLMs and support the development of intelligent, task-oriented agents. Key Responsibilities: Clean, transform, and analyze data (structured and unstructured) from diverse Perform exploratory data analysis to identify actionable Support the development and evaluation of traditional and deep learning Assist in integrating LLMs into workflows using RAG Collaborate with senior team members to build and refine agentic AI systems for task Contribute to the design and testing of knowledge retrieval systems, including vector stores and embedding models. Develop dashboards, visualizations, and documentation to effectively communicate insights and Required Skills & Qualifications: Bachelors degree in Data Science, Computer Science, Statistics, Engineering, or a related discipline. Strong programming proficiency in Python, including experience with libraries like pandas, numpy, scikit-learn, and either LangChain or LlamaIndex. Fundamental understanding of Natural Language Processing (NLP) and large language models (LLMs). Hands-on experience with SQL and database A strong passion for advancements in Artificial Intelligence and a commitment to ongoing Exposure to Retrieval-Augmented Generation (RAG) architectures, including vector databases like FAISS, Chroma, or Pinecone. Familiarity with LLM frameworks, such as the OpenAI API and Hugging Face Knowledge of agentic AI systems, including task planning and autonomous agents Experience with cloud platforms (AWS, GCP, Azure) and version control systems (Git).

Job Title: AI ML Engineer Job Summary: We are looking for a passionate and innovative AI/ML Engineer LLM & NLP with strong expertise in artificial intelligence, natural language processing (NLP), and large language models (LLMs). The focus is on crafting, optimizing, and scaling AI-driven interactions that improve system performance, enhance user experience, and deliver measurable business value across a variety of applications. Key Responsibilities: Design, test, and refine prompts to optimize performance of LLMs such as GPT-4, Claude, Gemini, and open-source models. Collaborate with cross-functional teams (product, design, engineering, marketing) to develop AI-driven features and tools. Conduct experiments and evaluate to test the accuracy, safety, and quality of AI-generated outputs, learning best practices along the way. Automate prompt workflows and integrate prompt chains with APIs and tool stacks. Fine-tune models or build retrieval-augmented generation (RAG) pipelines when needed. Stay curious and keep learning about the latest advancements in generative AI, NLP, and prompt engineering through hands-on practice and research Contribute to building internal documentation, prompt templates and reusable libraries. Required Skills & Qualifications: Bachelor’s degree in computer science. 2 years of experience working with LLMs, AI systems, NLP frameworks. Strong understanding of transformer models and training. Experience using OpenAI (ChatGPT, GPT API), Anthropic, Cohere, Hugging Face, or similar platforms. Strong proficiency in Python, with hands-on experience using leading AI frameworks and libraries such as LangChain, LlamaIndex, and others commonly used in LLM and NLP development. Background in UX, technical writing, or content design is a plus.

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Role: ML Engineer. Exp : 5 Years to 10 Years Location : Hyderabad. Job Overview: Were seeking a ML Engineer / Data Scientist to architect agentic AI solutions and own the full ML lifecycle—from proof-of-concept to production. You’ll operationalize LLMs, build agentic workflows, implement MLOps best practices, and design multi-agent systems for cybersecurity tasks. Key Responsibilities: Operationalize large language models and agentic workflows (LangChain, LangGraph, LlamaIndex) to automate security decision-making and threat response. Design, deploy, and maintain multi-agent AI systems for log analysis, anomaly detection, and incident response. Build proof-of-concept GenAI solutions and evolve them into production-ready components on AWS (Bedrock, SageMaker, Lambda, EKS/ECS) using reusable best practices. Implement CI/CD pipelines for model training, validation, and deployment with GitHub Actions, Jenkins, and AWS CodePipeline. Manage model versioning with MLflow and DVC, set up automated testing, rollback procedures, and retraining workflows. Automate cloud infrastructure provisioning with Terraform and develop REST APIs and microservices containerized with Docker and Kubernetes. Monitor models and infrastructure through CloudWatch, Prometheus, and Grafana; analyze performance and optimize costs and SLA compliance. Collaborate with data scientists, application developers, and security analysts to integrate agentic AI into existing security workflows. Qualifications: Bachelor’s or master’s in computer science, Data Science, AI or related quantitative discipline. 4+ years of software development experience, including 3+ years building and deploying LLM-based/agentic AI architectures. In-depth knowledge of generative AI fundamentals (LLMs, embeddings, vector databases, prompt engineering, RAG). Hands-on experience with LangChain, LangGraph, LlamaIndex, Crew.AI or equivalent agentic frameworks. Strong proficiency in Python and production-grade coding for data pipelines and AI workflows. Deep MLOps knowledge: CI/CD for ML, model monitoring, automated retraining, and production-quality best practices. Extensive AWS experience with Bedrock, SageMaker, Lambda, EKS/ECS, S3 (Athena, Glue, Snowflake preferred). Infrastructure as Code skills with Terraform. Experience building REST APIs, microservices, and containerization with Docker and Kubernetes. Solid data science fundamentals: feature engineering, model evaluation, data ingestion. Understanding of cybersecurity principles, SIEM data, and incident response. Excellent communication skills for both technical and non-technical audiences. Preferred Qualifications: AWS certifications (Solutions Architect, Developer Associate). Nice to have Experience with Model Context Protocol (MCP) and RAG integrations. Nice to have Experience in Crew.AI Familiarity with workflow orchestration tools (Apache Airflow). Experience with time series analysis, anomaly detection, and machine learning.

Job Description: AI Engineer (Junior / Associate Level) About the Role We are looking for a passionate and hands-on AI Developer with around 3 years of experience in building and deploying machine learning models and working with the latest AI tools and frameworks. You will be working closely with our data science and engineering teams to develop smart, scalable, and production-ready AI solutions. Key Responsibilities Design, develop, test, and deploy machine learning models for classification, regression, recommendation, or NLP tasks. Work with state-of-the-art AI tools and libraries such as LangChain, Hugging Face, OpenAI, LlamaIndex, etc. Integrate Large Language Models (LLMs) into applications via APIs or custom fine- tuning. Build data pipelines for training and inference, ensuring model performance and robustness. Collaborate with software developers, product managers, and data engineers to turn AI models into usable products. Stay updated with the latest research and innovations in the AI/ML space and bring new ideas into development. Optimize model performance and scale AI solutions for production. Required Skills & Experience Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field. 2 to 4 years of hands-on experience in machine learning and deep learning. Proficiency in Python and libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy. Good understanding of LLMs and experience working with platforms like OpenAI, Claude, Cohere, or Hugging Face Transformers. Experience in prompt engineering, fine-tuning, or using frameworks like LangChain, LlamaIndex, or Haystack. Exposure to cloud platforms (AWS, GCP, Azure) and tools like Docker, Git, CI/CD workflows. Strong analytical and problem-solving skills. Understanding of data preprocessing, feature engineering, and model evaluation techniques. Good to Have Experience building AI chatbots or virtual assistants. Knowledge of Vector databases (e.g., Chroma, Pinecone, Weaviate). Familiarity with MLOps tools like MLflow, Kubeflow, Vertex AI, etc. Experience with RESTful APIs or microservices architecture. Participation in Kaggle competitions or open-source AI projects. What We Offer Opportunity to work on real-world AI applications and products. A collaborative, learning-first environment. Exposure to enterprise-grade AI deployments and tools. Flexible working hours and remote work options. Competitive compensation and career growth path.

Role: AIML Engineer Experience: 2 to 8 Yrs Notice period: 0- 10 Days Job Location: Hyderabad and Bangalore. (Hybrid) Job Description: Strong proficiency in Python for AI/ML development. Hands-on experience with OpenAI, GPT models, and LangChain or LlamaIndex. Deep understanding of Retrieval-Augmented Generation (RAG) concepts and implementations. Familiarity with vector databases like FAISS, Pinecone, or Weaviate. Good knowledge of data engineering principles (ETL, data modeling, batch/streaming pipelines). Experience with cloud platforms (Azure, AWS, or GCP) for deploying AI/ML solutions. Proficient in tools like Pandas, NumPy, Scikit-learn, and MLflow. Exposure to LLMOps, model versioning, and monitoring is a plus.