819 Llms Jobs - Page 27

As a Senior Director at Accordion, you will play a crucial role in designing, developing, and maintaining complex web applications using the MERN stack (MongoDB, Express.js, React.JS, and Node.js). Your expertise in Azure/AWS Web Application Development will be essential in collaborating with cross-functional teams to deliver high-quality web applications that meet client requirements. You will have the opportunity to integrate generative AI models and tools into applications, ensuring enhanced user experiences and innovative features. Your responsibilities will include researching and evaluating new technologies to stay up-to-date with industry trends, providing technical leadership and mentorship to junior team members, and demonstrating strong experience in developing and implementing Gen AI based applications. Your proficiency in software architecture principles, including microservices, API management, and data integration, will be crucial in designing microservices-based systems and integrating Gen AI models into enterprise applications. Ideally, you will have a strong proficiency in the MERN stack, including JavaScript, TypeScript, HTML, CSS, and MongoDB. Experience with designing and developing scalable web applications, serverless computing, containerization technologies, and DevOps practices and tools will be beneficial. Your knowledge of data visualization and analytics tools will further enhance your capabilities in this role. Exploring a career at Accordion means being part of a high-growth environment with semi-annual performance management and promotion cycles that enable a fast track to leadership responsibility. You will have exposure to interesting and challenging work streams across industries, an entrepreneurial environment that fosters intellectual freedom, and a fun culture with a strong peer group that accelerates your learning curve. Additionally, you will have access to health and wellness programs, corporate meal card options, team outings, robust leave policies, and various employee engagement initiatives to support your personal and professional development. Join Accordion and experience a better way to work!,

As a Full Stack AI Developer, you will be responsible for designing, developing, and maintaining AI-powered full stack applications. Your key responsibilities will include building and optimizing REST APIs using FastAPI/Flask, integrating advanced LLM capabilities, creating backend services, implementing Generative AI features, developing front-end interfaces with Streamlit or React, and applying best practices in software engineering. You will also work with cloud platforms like AWS, Azure, and GCP to monitor AI systems in production environments. Required Technical Skills: Core Python Development: Proficiency in Python 3, including syntax, control flow, data structures, functions, error handling, file I/O, modules, decorators, list/dict comprehensions, and exception management. Scientific & Data Libraries: NumPy for array operations, broadcasting; Pandas for data manipulation, aggregation, data cleaning; Database Integration with SQL, SQLite, MongoDB, Postgres, vector DBs (Chroma, PGVector, FIZZ). API Development: RESTful API design with FastAPI or Flask, async/await, dependency injection, request validation, JWT/OAuth2 auth, vector DB integration, and streaming LLM responses. Generative AI / LLMs: Understanding of Transformer architectures, LLMs (GPT, BERT, LLaMA), LangChain, LlamaIndex, Hugging Face Transformers, prompt engineering, parameter tuning, RAG, and agent-based workflows. Deployment & Containerization: Proficiency in Docker, Dockerfiles, Docker Compose, CI/CD pipelines, GitHub Actions, and deploying containerized services. Frontend Development: HTML5, CSS3, modern JavaScript (ES6+), Streamlit, React.js (with TypeScript), building conversational UIs, integrating streaming outputs via WebSockets/SSE. Desirable Skills: Experience with cloud services (AWS, Azure, GCP), monitoring and logging for AI systems, testing frameworks like pytest, httpx, React Testing Library, PDF extraction, OCR tools, frontend accessibility, and performance optimization. Soft Skills: Strong communication and documentation skills, problem-solving mindset, ability to collaborate across cross-functional teams. Educational Qualification: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field. Certifications or hands-on experience in Generative AI/LLMs is a plus. In summary, this role is ideal for individuals passionate about developing end-to-end AI applications using GenAI products, LLMs, APIs, Vector Databases, and modern front-end stacks in a production-ready environment.,

About Vivriti Group Vivriti Group is a trailblazer in the mid-market lending space, offering customized debt solutions to mid-sized enterprises. The group operates through two core businesses: Vivriti Capital Limited, a systematically important Non-Banking Financial Company (NBFC ND-SI) regulated by the Reserve Bank of India (RBI), and Vivriti Asset Management, a fixed-income fund manager managing multiple Alternative Investment Funds (AIFs). Vivriti Capital has disbursed over USD 3 billion to 300+ enterprise borrowers with a CRISIL rating of A+. Vivriti AMC has over USD 550 million in commitments from 900+ institutional and private contributors and has invested more than USD 600 million across 90+ entities. Job Title: Manager - AI Product Location: Chennai / Bangalore Employment Type: Full-time Department: Product Management Role Overview As an AI Product Manager at Vivriti Group, you will be responsible for owning the end-to-end lifecycle of AI/ML products focused on wholesale lending. This includes activities from ideation and strategy to development, launch, and iteration. Collaboration with data scientists, engineers, designers, credit, risk, and business stakeholders is crucial to ensure that AI initiatives align with user needs and business goals. Key Responsibilities - Define and execute the AI product roadmap in collaboration with leadership and cross-functional teams. - Translate business problems into clear AI/ML product requirements. - Collaborate with data scientists and engineers to define success metrics, datasets, and model evaluation frameworks. - Prioritize product features and improvements based on user research, data analysis, and business value. - Ensure model performance, explainability, fairness, and compliance with ethical standards. - Drive experimentation, A/B testing, and iteration cycles for continuous product improvement. - Act as the liaison between engineering, data science, design, and stakeholders to ensure timely and high-quality delivery. - Stay updated on emerging AI trends, technologies, and best practices. User Experience (UX) Champion a user-centric design approach by working with UX/UI designers to create intuitive, efficient, and delightful user experiences for complex financial workflows. Performance & Metrics Define key performance indicators (KPIs) for product success and provide regular reports on product performance to stakeholders. Requirements Must-Have: - Up to 3 years of product management experience, preferably with AI/ML-based products. - Basic understanding of machine learning concepts, model lifecycle, and data infrastructure. - Proven experience in translating complex technical requirements into scalable product solutions. - Familiarity with MLOps, model evaluation metrics, and deployment pipelines. - Exceptional communication and stakeholder management skills. - Experience with agile product development and tools (e.g., Jira, Confluence, Figma, GitHub). Nice-to-Have: - Hands-on experience with data analysis tools (e.g., SQL, Python, Jupyter). - Experience with LLMs, generative AI, or AI applications in NLP, computer vision, or recommendation systems. - Background in computer science, engineering, data science, or a related field. - Prior startup or high-growth environment experience.,

As a Senior AI Engineer - Voice AI / Autonomous Agents at Spyne, you will have the opportunity to own and build Spynes in-house voice bot stack. In this high-impact individual contributor role, you will be at the intersection of LLMs, ASR/TTS, and voice UX, focusing on creating deeply human, latency-optimized conversations between auto dealerships and their customers. Your main responsibilities will include: Voice AI Stack Ownership: Building and owning the end-to-end voice bot pipeline, including ASR, NLU, dialog state management, tool calling, and TTS to deliver a natural, human-like conversation experience. LLM Orchestration & Tooling: Architecting systems using MCP (Model Context Protocol) to mediate structured context between real-time ASR, memory, APIs, and the LLM. RAG Integration: Implementing retrieval-augmented generation to ground responses using dealership knowledge bases, inventory data, recall lookups, and FAQs. Vector Store & Memory: Designing scalable vector-based search for dynamic FAQ handling, call recall, and user-specific memory embedding. Latency Optimization: Engineering low-latency, streaming ASR + TTS pipelines and fine-tuning turn-taking models for natural conversation. Model Tuning & Hallucination Control: Using fine-tuning, LoRA, or instruction tuning to customize tone, reduce hallucinations, and align responses to business goals. Instrumentation & QA Looping: Building robust observability, running real-time call QA pipelines, and analyzing interruptions, hallucinations, and fallbacks. Cross-functional Collaboration: Working closely with product, infra, and leadership to scale this bot to thousands of US dealerships. To be successful in this role, you should possess: Architect-level thinking: Understanding how ASR, LLMs, memory, and tools fit together and having the ability to design modular, observable, and resilient systems. LLM Tooling Mastery: Implementing tool calling, retrieval pipelines, function calls, or prompt chaining across multiple workflows. Fluency in Vector Search & RAG: Knowing how to chunk, embed, index, and retrieve, while avoiding prompt bloat and token overflow. Latency-First Mindset: Debugging token delays, understanding the cost of each API hop, and optimizing round-trip time to maintain human-like interactions. Grounding > Hallucination: Tracing hallucinations back to weak prompts, missing guardrails, or lack of tool access and effectively addressing them. Prototyper at heart: Being unafraid of building from scratch and iterating quickly, utilizing open-source or hosted tools as necessary. The ideal candidate will have: 5+ years of experience in AI/ML or voice/NLP systems with real-time experience. Deep knowledge of LLM orchestration, RAG, vector search, and prompt engineering. Experience with MCP-style architectures or structured context pipelines between LLMs and APIs/tools. Experience integrating ASR (Whisper/Deepgram), TTS (ElevenLabs/Coqui), and OpenAI/GPT-style models. Solid understanding of latency optimization, streaming inference, and real-time audio pipelines. Hands-on experience with Python, FastAPI, vector DBs (Pinecone, Weaviate, FAISS), and cloud infra (AWS/GCP). Strong debugging, logging, and QA instincts for hallucination, grounding, and UX behavior. Working at Spyne offers real-world AI impact at scale, a high-performing team that balances speed with technical depth, high autonomy and visibility from day one, rapid career acceleration, access to MacBook and all necessary tools and compute, a flat structure with real work focus, and no BS. Join us in redefining how cars are marketed and sold with cutting-edge Generative AI.,

As an AI Developer, you will be responsible for designing and developing AI/ML models focused on natural language understanding, intelligent automation, and real-time decision-making utilizing NLP, LLMs, and RAG techniques. Your role will involve collaborating with cross-functional teams to seamlessly integrate AI models into platforms, ensuring scalability, accuracy, and efficiency. Additionally, you will support training and development programs across various locations in India, including client sites, academic institutions, and partner locations. Your responsibilities will include the continuous testing, refinement, and documentation of AI systems using tools such as Python, TensorFlow, Hugging Face, and cloud services. You will also be expected to engage in knowledge sharing activities, conduct technical workshops, and deliver on-site demos to promote AI solutions and drive adoption. This is a full-time position with benefits including cell phone reimbursement, provided meals, health insurance, paid sick time, and Provident Fund. The work schedule is during day shift hours. The ideal candidate should hold a Bachelor's degree and have a total of 1 year of experience, with specific experience as an AI Developer preferred. The work location for this role is in person. Join us in this exciting opportunity to contribute to cutting-edge AI projects and make a meaningful impact in the field of artificial intelligence.,

As an AI Specialist at our company based in Hyderabad, you will be responsible for training and fine-tuning LLMs such as LLaMA and Mistral to cater to company-specific use cases. You will play a vital role in customizing and optimizing model performance for seamless production deployment. Collaboration with internal teams for model integration and data pipelines will be a key aspect of your role. It is imperative that you stay abreast of the latest advancements in GenAI and LLM techniques to contribute effectively. To excel in this role, you must possess hands-on experience with LLMs and fine-tuning techniques. Your expertise in the specifics of vector database indexing will be highly beneficial. We are looking for someone with a robust background in advanced AI/ML techniques and database indexing, particularly in the context of production projects. Familiarity with technologies such as LoRA, QLoRA, RAG, and PEFT is desirable. Additionally, your knowledge of model evaluation, optimization, and GPU training will be crucial for success in this position.,

At InnovationM , we're shaping the future of enterprise AI and are looking for a Senior Agentic AI Engineer to lead the design and development of cutting-edge agentic frameworks. Youll help build a scalable AI foundation that empowers multiple teams to deploy intelligent agents with autonomy, memory, and reasoning capabilities. Key Skills: Python | LangGraph | CrewAI | RAG | LLMs | Agentic Frameworks Tool Integration | Vector Databases | Autonomous Decision-Making Human-in-the-Loop | Secure, Scalable Architectures What Youll Do: Architect enterprise-grade AI frameworks Build reusable agentic patterns using LangGraph, CrewAI, AutoGPT Enable tools like APIs, vector stores, RPA, and internal services Collaborate across teams to bring autonomy into complex workflows Mentor and guide teams on the future of agentic AI Why Join Us? Work on the latest in AI/ML and agentic systems Engage with large-scale clients and impactful projects Thrive in a culture of innovation, learning & development Location: Noida Sec-126 l 5 Days work from Office Apply now: neha.sharma@innovationm.com

Role and Responsibilities Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation Implement NLP solutions for tasks like intent detection, sentiment analysis, and content generation Develop backend APIs and services using Python frameworks like FastAPI or Flask Contribute to scalable microservice-based architectures Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. 2 to 4 years in AI/ML development and backend system Machine Learning Fundamentals: Strong grasp of algorithms, model training, evaluation, and tuning Generative AI Models: Experience working with LLMs, RAG architecture, and fine-tuning techniques LangChain or Similar Frameworks: Hands-on experience building AI workflows using toolkits like LangChain Natural Language Processing (NLP): Proficiency in text analytics, classification, tokenization, embeddings Vector Databases: Practical use of tools like Pinecone, FAISS, or similar for retrieval-augmented generation Big Data Handling: Ability to work with large datasets, optimize storage, and processing pipelines SQL/NoSQL: Experience in querying and managing structured and unstructured data Python & API Development: Proficiency in Python and frameworks like FastAPI or Flask ETL & Data Preprocessing: Strong understanding of building pipelines for clean and efficient data processing Soft Skills: Strong problem-solving, communication, and collaboration abilities Good-to-Have Skills: Agentic AI Tools: Exposure to CrewAI or similar platforms for orchestrating multi-agent interactions Content Structuring: Experience in clustering, topic modeling, or organizing unstructured data ETL Enhancements: Advanced optimization techniques for faster and more efficient pipelines Domain Exposure: Prior work on projects involving customer insights, chat summarization, or sentiment analysis Role & responsibilities

Responsibilities: Collect and analyze large datasets to identify trends and patterns. Use LLMs to identify trends in data and leverage intuition to find opportunities to improve the user experience in data-related features. Build POCs to demonstrate the feature opportunities identified during data analysis. Create and maintain dashboards and reports to communicate findings. Collaborate with cross-functional teams to understand their data needs and provide actionable insights. Use statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. Develop and implement data collection systems and other strategies that optimize statistical efficiency and quality. Requirements: Bachelors degree in Computer Science, or a related field. Proven experience as a Data Analyst or similar role. Good exposure to prompt engineering and building POCs that are LLM-wrapped. Proficiency in data analysis tools and software such as SQL, R, Python, Excel, etc. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Excellent communication and presentation skills. Ability to work independently and as part of a team. Preferred Qualifications: Experience in the voice analytics domain. Familiarity with machine learning and predictive modelling techniques.

At OP, we are a people-first, high-touch organization committed to delivering cutting-edge AI solutions with integrity and passion. We are looking for a Senior AI Developer with expertise in AI model development, Python, AWS, and scalable tool-building. In this role, you will be responsible for designing and implementing AI-driven solutions, developing AI-powered tools and frameworks, and integrating them into enterprise environments, including mainframe systems. As a Senior AI Developer at OP, your key responsibilities will include developing and deploying AI models using Python and AWS for enterprise applications, building scalable AI-powered tools, designing and optimizing machine learning pipelines, implementing NLP and GenAI models, developing and integrating RAG systems for enterprise knowledge retrieval, maintaining AI frameworks and APIs, architecting cloud-based AI solutions using AWS services, writing high-performance Python code for AI applications, and ensuring scalability, security, and performance of AI solutions in production. The required qualifications for this role include 5+ years of experience in AI/ML development with expertise in Python and AWS, a strong background in machine learning and deep learning, experience in LLMs, NLP, and RAG systems, hands-on experience in building and deploying AI models in production, proficiency in cloud-based AI solutions, experience in developing AI-powered tools and frameworks, knowledge of mainframe integration and enterprise AI applications, and strong coding skills with a focus on software development best practices. Preferred qualifications for this role include familiarity with MLOps, CI/CD pipelines, and model monitoring, a background in developing AI-based enterprise tools and automation, and experience with vector databases and AI-powered search technologies. At OP, we offer health insurance, accident insurance, and competitive salaries based on various factors including location, education, qualifications, experience, technical skills, and business needs. In addition to the core responsibilities, you will also be expected to participate in OP monthly team meetings, contribute to technical discussions, peer reviews, and collaborate via the OP-Wiki/Knowledge Base, as well as provide status reports to OP Account Management as requested. OP is a technology consulting and solutions company that offers advisory and managed services, innovative platforms, and staffing solutions across various fields, including AI, cyber security, and enterprise architecture. Our team consists of dynamic, creative thinkers who are passionate about quality work, and as a member of the OP team, you will have access to industry-leading consulting practices, strategies, technologies, training, and education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.,

Were Hiring | Python Developer – Generative AI Location: Pune/Hyderabad Experience: 4–5 Years Join Us at the Cutting Edge of AI Innovation! Are you passionate about building products powered by Generative AI and LLMs? Do you enjoy working with cutting-edge tools like OpenAI, LangChain, and vector databases to bring AI ideas to life? We’re looking for a Python Developer (GenAI) who is ready to innovate, collaborate, and help us scale real-world AI solutions from prototype to production. Key Responsibilities: • Build scalable Python applications leveraging LLMs, prompt engineering, and RAG pipelines • Develop REST APIs using FastAPI/Flask for GenAI applications • Collaborate across teams to deploy LLM-powered tools (chatbots, assistants, summarizers) • Work with frameworks like LangChain, Hugging Face, and vector DBs like Pinecone, FAISS • Write clean, modular code with performance optimization in mind Skills We’re Looking For: • 4–5 years in Python development • Proven experience building LLM-based applications • Familiarity with OpenAI, Anthropic, Hugging Face, LangChain • Strong knowledge of REST APIs, microservices, and prompt engineering • Exposure to Git, CI/CD workflows, and agile environments Nice-to-Have: • Cloud exposure (AWS, Azure, GCP) • Experience with Docker/Kubernetes • Understanding of RAG pipelines, semantic search, or fine-tuning models Interested or know someone who fits? Drop your resume or referrals in the comments or send us a message! Thanks Dan - Dan@therxcloud.com

We are seeking a Senior Python Backend Developer to join our team and take charge of building REST APIs and serverless functions in Azure using Python. As a Senior Python Backend Developer, your main responsibility will be developing high-performance and responsive REST APIs to cater to front-end requests. It will be essential for you to collaborate with team members working on various layers of the application and integrate front-end elements provided by co-workers. Therefore, having a basic understanding of front-end technologies is crucial for this role. Your duties will include delivering top-quality working software independently, writing secure and efficient code, and designing low-latency, high-availability applications. You will also be tasked with integrating user-facing elements developed by front-end developers, implementing security measures, and ensuring data protection. Additionally, your role will involve working with various Azure services like Azure Functions, APIM, Azure storage, SQL, and NoSQL databases, as well as writing automated tests and integrating with Azure APIM, Tracing, and Monitoring services. To excel in this role, you should have experience in building Azure Functions with Python, be proficient in Python with knowledge of at least one Python web framework, and have familiarity with ORM libraries. You should also be capable of integrating multiple data sources and databases into a cohesive system, possess a basic understanding of front-end technologies like JavaScript, HTML5, and CSS3, and have experience with OAuth2/OIDC for securing the backend using Azure AD B2C. Additionally, expertise in Azure services such as Key Vaults, Cost Management, Budgets, Application Insights, Azure Monitor, VNet, etc., fundamental design principles for scalable applications, database schema creation, unit testing, debugging, Git, Postman, Swagger/OpenAPI, Gen-AI, Langchain, Vectorization, LLMs, NoSQL databases like MongoDB, REST APIs, Microservices, and Azure DevOps for CI/CD will be beneficial for this role. If you are passionate about backend development, have a knack for problem-solving collaboratively, and are committed to delivering high-quality software, we invite you to apply for this exciting opportunity to contribute to our team. (Note: This job description is sourced from hirist.tech),

The Lead Platform Engineer - Gen AI at Elanco, based in Bengaluru, India, will be a part of the Software Engineering & Platforms team. Reporting to the IT Engineering Associate Director, you will be instrumental in driving the direction of platform and automation capabilities, specifically focusing on generative AI and its implementation at Elanco. Your role will involve collaborating with a diverse team to work on cutting-edge engineering initiatives that ensure secure, reliable, and efficient solutions using the latest technology. As a successful candidate, you must possess a highly motivated and innovative mindset, with the ability to articulate complex technical topics, collaborate with external partners, and ensure the quality delivery of solutions. You will have the opportunity to contribute to the growth of a highly skilled engineering organization and play a key role in shaping the future of GenAI capabilities at Elanco. Your responsibilities will include staying updated on the latest AI research and technologies, contributing to continuous improvement and innovation within the team, identifying opportunities for enhancing application team and developer experience, and working collaboratively with various stakeholders to deliver high-quality technical solutions. Additionally, you will be responsible for building and running GenAI capabilities, supporting distributed teams on AI/ML consumption, and maintaining robust support processes. To qualify for this role, you must have a minimum of 2+ years of hands-on experience in Generative AI and LLMs, along with a total of 8+ years of experience as a Software Engineer. Proficiency in programming languages such as Python, TensorFlow, PyTorch, and other AI/ML frameworks is essential, as is a strong understanding of neural networks, NLP, computer vision, and other AI domains. Experience with cloud platforms and AI tools (e.g., Google Cloud, Azure), familiarity with AI technologies, data pipelines, and deploying AI solutions in real-world applications are also required. It would be beneficial to have experience with Cloud Native design patterns, core technologies like Terraform, Ansible, and Packer, cloud cognitive services, AI/Embeddings technologies, modern application architecture methodologies, and API-centric design. Knowledge of authentication and authorization protocols, AI security, model evaluation, and safety will be advantageous. This role offers an exciting opportunity to work on cutting-edge technology, contribute to the growth of a new engineering organization, and make a significant impact on Elanco's AI capabilities. If you are passionate about innovation, collaboration, and driving tangible outcomes, we encourage you to apply for this role.,

Role & responsibilities Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation Implement NLP solutions for tasks like intent detection, sentiment analysis, and content generation Develop backend APIs and services using Python frameworks like FastAPI or Flask Contribute to scalable microservice-based architectures Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. 2 to 4 years in AI/ML development and backend system Machine Learning Fundamentals: Strong grasp of algorithms, model training, evaluation, and tuning Generative AI Models: Experience working with LLMs, RAG architecture, and fine-tuning techniques LangChain or Similar Frameworks: Hands-on experience building AI workflows using toolkits like LangChain Natural Language Processing (NLP): Proficiency in text analytics, classification, tokenization, embeddings Vector Databases: Practical use of tools like Pinecone, FAISS, or similar for retrieval-augmented generation Big Data Handling: Ability to work with large datasets, optimize storage, and processing pipelines SQL/NoSQL: Experience in querying and managing structured and unstructured data Python & API Development: Proficiency in Python and frameworks like FastAPI or Flask ETL & Data Preprocessing: Strong understanding of building pipelines for clean and efficient data processing Soft Skills: Strong problem-solving, communication, and collaboration abilities

Hiring: LLM Developer/Engineer (New Delhi) Requirements: Strong understanding of NLP, Transformers, and LLMs. Coding experience is a must with at least 2 years of experience working on LLMs, RAG, hyperparameter tuning, and fine-tuning open-source models. B.Tech or higher in EC, CS, or AI/ML.,

As a Senior AI/ML Engineer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs) at Snowfig in Delhi, India, you will be at the forefront of developing innovative AI-driven solutions for the legal tech industry. Snowfig is known for its commitment to revolutionizing the legal field by creating bespoke tech solutions that streamline processes and empower legal professionals. Join our team and be part of a mission to drive innovation and excellence in legal tech! Your main responsibilities will include leading the design, development, and deployment of NLP and LLM-based solutions customized for the legal sector. You will work on cutting-edge projects involving LLMs like Mixteral or LAMA to build intelligent, efficient, and scalable solutions. Additionally, you will design and integrate knowledge graphs to enhance the performance of LLMs, ensuring accurate and contextually relevant outputs. Furthermore, you will be responsible for developing robust data pipelines for preprocessing, cleaning, and managing large-scale legal datasets to ensure high-quality input for model training. You will apply advanced techniques for model training, fine-tuning, and optimization to ensure the robustness, efficiency, and scalability of AI models. Collaboration with cross-functional teams to understand requirements, propose solutions, and deliver high-quality products will be a key part of your role. Mentoring junior engineers, staying updated on the latest advancements in AI, NLP, and LLMs, and bringing new ideas to the table are also crucial aspects of this position. You should have over 5 years of hands-on experience in AI/ML, with a strong focus on NLP and LLMs, along with proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. A deep understanding of NLP techniques, LLM architectures, knowledge graphs, cloud platforms like Azure or AWS, and data engineering principles is essential. If you are looking to make a significant impact in transforming the legal industry, work on groundbreaking projects, and advance your career in a collaborative and innovative environment, Snowfig offers the perfect opportunity. Join our dynamic team in Delhi and be a part of a vibrant and diverse work culture that values creativity, initiative, and professional growth.,

Chennai, India Role Overview We are looking for an exceptional ML Engineer who can help us to provide a great user experience while we wow our users with the power of AI for advanced document understanding. Strong working knowledge of using Python is critical for this position. This is an exciting opportunity to work closely with our platform team and help drive our technology forward bridging the gap between research & engineering in the field of machine comprehension. If you want to realign your career towards Machine Learning/Artificial Intelligence, look no further. This position offers an opportunity to work closely with best of minds in this field and to learn the tricks by doing amazing things along with them. In this role you will focus on developing engaging interfaces for our users, enhancing the AI experience they get in our platform. You will enable people by making their work of reading documents enjoyable through blending the power of AI with rich UX in our first of its kind DIY SaaS for advanced document understanding using AI. Qualifications Excellent problem-solving skills and critical thinking abilities. Solid experience in machine learning, deep learning, and large language models. Expert proficiency in Python. Familiarity with LLMs like Llama, Zephyr, Mistral, and OpenAI APIs. Experience with transformer models (BERT, GPT, RoBERTa, etc.). Knowledge of ML frameworks (PyTorch, Langchain, Spacy, etc.). MLOps infrastructure development experience. 2-5 years of experience in AI/ML in the software industry. Roles and Responsibilities Develop and Implement ML Models: Design, build, and deploy advanced machine learning models, with a focus on Large Language Models (LLMs) and Deep Learning Model Optimization: Fine-tune models to improve performance, latency, memory efficiency, and throughput. Software Development: Apply strong programming skills, particularly in Python, to create robust AI solutions. MLOps Infrastructure: Construct and manage infrastructure for ML experimentation, A/B testing, and production deployment. LLM Pipeline Development: Oversee LLM pipelines using frameworks like Langchain, LlamaIndex, etc. AI Solutioning: Collaborate with cross-functional teams to devise AI solutions for complex business challenges.,

Job Title: Product Owner / Subject Matter Expert (AI & Data) Experience Required: 10+ years Location: The selected candidate is required to work onsite for the initial 1 to 3-month project training and execution period at either our Kovilpatti or Chennai location, which will be confirmed during the onboarding process. After the initial period, remote work opportunities will be offered. Job Description: The Product Owner / Subject Matter Expert (AI & Data) will lead the definition, prioritization, and successful delivery of intelligent, data-driven products by aligning business needs with AI/ML and data platform capabilities. Acting as a bridge between stakeholders, data engineering teams, and AI developers, this role ensures that business goals are translated into actionable technical requirements. The candidate will manage product backlogs, define epics and features, and guide cross-functional teams throughout the product development lifecycle. They will play a crucial role in driving innovation, ensuring data governance, and realizing value through AI-enhanced digital solutions. Key Responsibilities: Define and manage the product roadmap across AI and data domains based on business strategy and stakeholder input. Translate business needs into technical requirements, user stories, and use cases for AI and data-driven applications. Collaborate with data scientists, AI engineers, and data engineers to prioritize features, define MVPs, and validate solution feasibility. Lead backlog refinement, sprint planning, and iteration reviews across multidisciplinary teams. Drive the adoption of AI models (e.g., LLMs, classification, prediction, recommendation) and data pipelines that support operational goals. Ensure inclusion of data governance, lineage, and compliance requirements in product development. Engage with business units to define KPIs and success metrics for AI and analytics products. Document product artifacts such as PRDs, feature definitions, data mappings, model selection criteria, and risk registers. Facilitate workshops, stakeholder demos, and solution walkthroughs to ensure ongoing alignment. Support responsible AI practices and secure data sharing standards. Technical Skills: Product Management Tools: Azure DevOps, Jira, Confluence AI/ML Concepts: LLMs, NLP, predictive analytics, computer vision, generative AI AI Tools: OpenAI, Azure OpenAI, MLflow, LangChain, prompt engineering Data Platforms: Azure Data Factory, Databricks, Synapse Analytics, Purview, SQL, NoSQL Data Governance: Metadata management, data lineage, PII handling, classification standards Documentation: PRDs, data dictionaries, process flows, KPI dashboards Methodologies: Agile/Scrum, backlog management, MVP delivery Qualification: Bachelors or Master’s in Computer Science, Data Science, Information Systems, or a related field. Preferred Certifications: Microsoft Certified (Azure AI Engineer Associate / Azure Data Fundamentals / Azure Data Engineer Associate). 10+ years of experience in product ownership, business analysis, or solution delivery in AI and data-centric environments. Proven success in delivering AI-enabled products and scalable data platforms. Strong communication, stakeholder facilitation, and technical documentation skills.

Responsibilities Design, develop, and deploy scalable AI/ML solutions using AWS services such as Amazon Bedrock, SageMaker, Amazon Q, Amazon Lex, Amazon Connect, and Lambda. Implement and optimize large language model (LLM) applications using Amazon Bedrock, including prompt engineering, fine-tuning, and orchestration for specific business use cases. Build and maintain end-to-end machine learning pipelines using SageMaker for model training, tuning, deployment, and monitoring. Integrate conversational AI and virtual assistants using Amazon Lex and Amazon Connect, with seamless user experiences and real-time inference. Leverage AWS Lambda for event-driven execution of model inference, data preprocessing, and microservices. Design and maintain scalable and secure data pipelines and AI workflows, ensuring efficient data flow to and from Redshift and other AWS data stores. Implement data ingestion, transformation, and model inference for structured and unstructured data using Python and AWS SDKs. Collaborate with data engineers and scientists to support development and deployment of ML models on AWS. Monitor AI/ML applications in production, ensuring optimal performance, low latency, and cost efficiency across all AI/ML services. Ensure implementation of AWS security best practices, including IAM policies, data encryption, and compliance with industry standards. Drive the integration of Amazon Q for enterprise AI-based assistance and automation across internal processes and systems. Participate in architecture reviews and recommend best-fit AWS AI/ML services for evolving business needs. Stay up to date with the latest advancements in AWS AI services, LLMs, and industry trends to inform technology strategy and innovation. Prepare documentation for ML pipelines, model performance reports, and system architecture. Qualifications we seek in you: Minimum Qualifications Proven hands-on experience with Amazon Bedrock, SageMaker, Lex, Connect, Lambda, and Redshift. Strong knowledge and application experience with Large Language Models (LLMs) and prompt engineering techniques. Experience building production-grade AI applications using AWS AI or other generative AI services. Solid programming experience in Python for ML development, data processing, and automation. Proficiency in designing and deploying conversational AI/chatbot solutions using Lex and Connect. Experience with Redshift for data warehousing and analytics integration with ML solutions. Good understanding of AWS architecture, scalability, availability, and security best practices. Familiarity with AWS development, deployment, and monitoring tools (CloudWatch, CodePipeline, etc.). Strong understanding of MLOps practices including model versioning, CI/CD pipelines, and model monitoring. Strong communication and interpersonal skills to collaborate with cross-functional teams and stakeholders. Ability to troubleshoot performance bottlenecks and optimize cloud resources for cost-effectiveness Preferred Qualifications: AWS Certification in Machine Learning, Solutions Architect, or AI Services. Experience with other AI tools (e.g., Anthropic Claude, OpenAI APIs, or Hugging Face). Knowledge of streaming architectures and services like Kafka or Kinesis.

We're hiring a passionate Data Scientist / GenAI Engineer to join our AI-first team working on LLMs, RAG pipelines, NLP features, and GenAI use cases like chatbots, recommendation engines, and smart automation.

Develop and implement cutting-edge generative AI solutions, leveraging LLMs and RAG techniques to solve complex business challenges and drive innovation. Design and optimize AI agents that automate tasks, enhance decision-making processes, and improve overall operational efficiency across various departments. Spearhead the implementation of vector databases to efficiently store and retrieve high-dimensional data, enabling faster and more accurate AI model performance. Lead the fine-tuning of pre-trained models, adapting them to specific use cases and improving their performance on domain-specific tasks. Collaborate with cross-functional teams to integrate generative AI capabilities into existing products and services, enhancing user experiences and creating new value propositions. Conduct thorough research on emerging deep learning techniques and architectures, staying at the forefront of AI advancements and applying them to real-world problems. Develop and maintain scalable AI pipelines that streamline data processing, model training, and deployment processes, ensuring efficient and reliable AI operations. Demonstrate strong ownership by taking responsibility for end-to-end AI project lifecycles, from concept to production deployment and ongoing optimization. Cultivate a seeker mindset by continuously exploring new AI methodologies and tools, actively contributing to the team's knowledge base and fostering a culture of innovation. Showcase passion towards work by eagerly tackling complex AI challenges, pushing boundaries, and consistently delivering high-quality solutions that exceed expectations.

Role - Lead AI Engineer Experience: 3+ years in AI/ML Location: Gurgaon, work from office About Tap Health: Tap Health is a deep-tech platform that is transforming chronic care management with AI and changing how you access health information. Powered by our proprietary Medical AI model, VaiD, Tap Health is designed to make healthcare accessible to millions. We are developing next-generation Digital Therapeutic products that redefine chronic illness management through AI-driven, hyper-personalized care. Our platform helps users manage conditions such as diabetes, hypertension, PCOS, pregnancy and asthma by delivering daily structured digital therapeutics, lifestyle interventions, personalized nutrition and exercise guidance and real-time monitoring, all without requiring human intervention. Leveraging AI and adaptive algorithms, Tap Health dynamically personalizes each users care journey, delivering enhanced insights, interventions, motivation, adherence and clinical outcomes at a fraction of traditional healthcare costs. Beyond Digital Therapeutics, the Tap Health platform also provides free primary illness diagnosis based on symptoms and instant health advice through a seamless, voice-first experience. www.tap.health Role Overview: Lead AI Engineer We are hiring a full-time Lead AI Engineer in Gurgaon to drive AI-driven healthcare innovations. The ideal candidate has 3+ years of AI/ML experience, 6+ months of GenAI production experience, and 1+ year of hands-on GenAI product development. You need to have a strong data science background and have expertise in GenAI, Agentic AI deployments, causal inference, and Bayesian modeling, with a strong foundation in LLMs and traditional models. You will be collaborating with the AI, Engineering, and Product teams to build scalable, consumer-focused healthcare solutions. As a Lead AI Engineer, you will be the go-to expertthe engineer others turn to when they hit roadblocks. You will mentor, collaborate, and enable high product velocity while fostering a culture of continuous learning and innovation. Skills & Experience The ideal candidate should have the following qualities: Strong understanding of fine-tuning, optimization, and neural architectures. Hands-on experience with Python, PyTorch, and FastAI frameworks. Experience running production workloads on one or more hyperscalers (AWS, GCP, Azure, Oracle, DigitalOcean, etc.). In-depth knowledge of LLMshow they work and their limitations. Ability to assess the advantages of fine-tuning, including dataset selection strategies. Understanding of Agentic AI frameworks, MCPs (Multi-Component Prompting), ACP (Adaptive Control Policies), and autonomous workflows. Familiarity with evaluation metrics for fine-tuned models and industry-specific public benchmarking standards in the healthcare domain. Knowledge of advanced statistical models, reinforcement learning, and Bayesian inference methods. Experience in Causal Inference and Experimentation Science to improve product and marketing outcomes. Proficiency in querying and analyzing diverse datasets from multiple sources to build custom ML and optimization models. Comfortable with code reviews and standard coding practices using Python, Git, Cursor, and CodeRabbit.,

Role and Responsibilities Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation Implement NLP solutions for tasks like intent detection, sentiment analysis, and content generation Develop backend APIs and services using Python frameworks like FastAPI or Flask Contribute to scalable microservice-based architectures Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. 2 to 4 years in AI/ML development and backend system Machine Learning Fundamentals: Strong grasp of algorithms, model training, evaluation, and tuning Generative AI Models: Experience working with LLMs, RAG architecture, and fine-tuning techniques LangChain or Similar Frameworks: Hands-on experience building AI workflows using toolkits like LangChain Natural Language Processing (NLP): Proficiency in text analytics, classification, tokenization, embeddings Vector Databases: Practical use of tools like Pinecone, FAISS, or similar for retrieval-augmented generation Big Data Handling: Ability to work with large datasets, optimize storage, and processing pipelines SQL/NoSQL: Experience in querying and managing structured and unstructured data Python & API Development: Proficiency in Python and frameworks like FastAPI or Flask ETL & Data Preprocessing: Strong understanding of building pipelines for clean and efficient data processing Soft Skills: Strong problem-solving, communication, and collaboration abilities Good-to-Have Skills: Agentic AI Tools: Exposure to CrewAI or similar platforms for orchestrating multi-agent interactions Content Structuring: Experience in clustering, topic modeling, or organizing unstructured data ETL Enhancements: Advanced optimization techniques for faster and more efficient pipelines Domain Exposure: Prior work on projects involving customer insights, chat summarization, or sentiment analysis

3-5 years of experience in ML/AI with at least 1 year in GenAI. Proficiency in Python and ML libraries (e.g., Hugging Face, LangChain, OpenAI). Strong skills in building APIs and deploying AI solutions. Experience in data pipeline development.

Ghrs Training is looking for a talented (Sr.) AI/LLM Engineer to join our team. This role offers an exciting opportunity to work on cutting-edge AI solutions, particularly with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Key Responsibilities: Develop and implement scalable AI solutions using Python. Work extensively with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. Utilize frameworks and libraries such as Transformers and LangChain for AI model development and deployment. Apply strong machine learning skills to design, train, and optimize AI models. Collaborate with cross-functional teams to integrate AI solutions into various products and services. Research and stay updated with the latest advancements in AI, LLMs, and related technologies. About You: Should possess strong machine learning (ML) skills. Should have experience working with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Should be proficient in Python programming for AI development. Should have experience with frameworks like Transformers and LangChain. Should be capable of developing scalable AI solutions.