4205 Openai Jobs - Page 36

Senior Product Manager Bangalore, Karnataka, India Date posted Jul 25, 2025 Job number 1849947 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Product Management Discipline Product Management Employment type Full-Time Overview Microsoft 365 Copilot harnesses the power of generative AI through foundational large language models to usher in a new era of AI-first productivity for hundreds of millions of enterprise users. As business workflows don't typically run exclusively on Microsoft 365 applications and data formats, Copilot is built as a platform right from the very beginning. Using extensibility, customers augment M365 Copilot with AI agents – which leverage custom skills, organizational-specific knowledge and natural language instructions to enable truly spectacular AI scenarios and power connected workflows. M365 Copilot Platform Ecosystem team is designing and building innovative AI agents on the M365 Copilot platform, including agent templates for makers as well as more bespoke solutions with leading customers. As a Product Manager in the team, you will drive the next wave of agents built using the latest generative AI technology on M365 Copilot’s extensible platform. Working across our engineering teams and with our most strategic customers and partners, you will deliver high-quality, sticky and transformative Copilot agents for use by millions of end-users. This engineering PM role is an excellent opportunity to don both scenario and experience-focused product PM as well as an external-facing solutions PM (Ecosystem PM) hats – at the same time! We are looking for self-motivated, entrepreneurial, hands-on technical and outcome-drive Senior Product Manager candidates who can operate in a fast-paced environment – predicated by rapid change and opportunities birthed out of ambiguity. You will frequently influence internal and customer stakeholders without authority, perform rapid exploration, bring your high sense of ownership and bias for execution to own and drive the vision, strategy and product roadmap for multiple customer and partner-built agents with a responsibility for partner and customer impact, developer experience, adoption growth strategy and business impact/ROI to support the next wave of growth for Copilot agents. You will have a direct role in pushing the latest AI frontiers, including autonomous agents, agentic AI systems, deep research and reasoning, multi-agent frameworks, complex data reasoning, model fine-tuning and agentic UX. The ideal candidate for this role is an experienced "builder" who advocates for generative AI-led transformation. They should be an "agent boss," meaning they regularly utilize generative AI and agents in their daily activities. The candidate should possess a "learn-it-all" mindset rather than a "know-it-all" attitude, and be comfortable navigating the uncertainties associated with transformative, time-sensitive, ROI-driven engagements with customers aiming to become Frontier Firms. This individual must adopt both business- and user-centric approaches to setting objectives, conducting executive-level discussions, aligning stakeholders, managing escalations, planning product roadmaps, and scheduling engagement timelines. They will lead the technical solution development, collaborating with internal M365 Copilot platform engineering teams as well as customers and developers working on our platform. Hands on experience with tools like Replit, Cursor, LangChain, LllamaIndex, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, Lovable, Claude, etc. is a must. This must be demonstrated using real examples of rapid solution prototyping. We operate in a fast-paced environment with rapid exploration, iteration, and execution, as we develop the M365 Copilot extensibility platform to transform how people and companies work using generative AI. Your peers will be among the top professionals in the industry, sharing a strong focus on customer and partner success. This role involves interacting with partners and customers, and occasional travel within and outside the base location is expected. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree AND 8+ years' experience in product/service/project/program management or software development OR equivalent experience. Previous experience with proven success in working on customer-facing technical engagements. Previous experience working in the generative AI domain, strong familiarity with AI fundamentals, LLMs, RAG, GPTs, AI agents, AI cloud services architecture etc. Hands on experience with tools like Replit, Cursor, LangChain, LllamaIndex, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, Lovable, Claude, etc. is a must. Solid executive presence and ability to think analytically and creatively on your feet The ability to wear many hats and speak many language – from business to product to design to technical – learn quickly and change direction when needed. Experience presenting to senior executives, technical product/IT/BDM staff and end users; able to pivot quickly and adapt messaging to suit audience technical levels and ROI/value requirements. Demonstrated ability of very strong product thinking, technical solutioning, continuous tech upskilling and growth mindset. The ability to think creatively and critically about product features, user journeys and scenarios in the enterprise workflows space. Self-organized, strong project management, growth hacking, leadership and cross-group collaboration skills. Innate curiosity and ability to self-start in an ambiguous, highly autonomous and rapidly changing, new domain with evolving product, technology and customer maturity. Excellent written and verbal communication/presentation skills through all levels of the organization, technical and non-technical. Good problem-solving skills and ability to think strategically on the feet. Ability to hold technical discussions, go deep in technical areas, when required especially in domains of generative AI, LLM technology. Proven ability to build data-driven product experiences, define metrics and use analytics to derive insights to arrive at product & growth decisions. Preferred Qualifications: 10+ years of product management experience with proven success in working with enterprise developer partners & customers. Recent experience building and prototyping generative AI-based solutions (RAG, GPT, LLM) and general awareness of the rapidly-evolving AI, especially generative AI landscape. Hands-on expertise with AI agents as a “builder” using low-code/no-code or pro-code tools or technical stacks. Hands-on experience or solid familiarity with the Microsoft technology stack is preferred (M365 Copilot extensibility, AI agents, Azure OpenAI, Azure AI Foundry, Graph Connectors, Microsoft Teams extensibility platform, etc.). #DPG Responsibilities Work with product managers, developers, UX designers from our most strategic customers across C-suite, architects and developers. Explore the customer problem space and key requirements, pitch the potential of generative AI agents to transform business processes, lead envisioning and UX/technical design through with developers to build, ship and adopt Copilot agents into production. Build POC prototypes to bring customers’ vision to life. Serve as a key subject matter expert on M365 Copilot/Azure AI Foundry/Microsoft AI platform and agent capabilities, architecture; collaborate closely with peers, external partners and customers to train, advise and guide on technical capabilities, solution design and AI platform strategy. Drive key product insights and developer ecosystem signals coming straight from the market to shape the future of the M365 Copilot, help drive backlog prioritization, envisioning and spec’ing of new, innovative extensibility features and our AI extensibility stack inside Microsoft 365 Copilot app, Teams, Outlook, Word, PowerPoint, Excel, Windows and other host products. Get exposure to 100s of diverse scenarios working alongside customers & partners using M365 Copilot (Microsoft's biggest bet since 'a PC on every desk') - basically never get bored since no two solutions are alike! Work directly with your feature crew colleagues across M365 Copilot platform engineering to design and deliver innovative extensibility features, including technical envisioning for how Copilot agents will work and interact with other services and applications. Determine adoption strategy for the Copilot agents shipped, unblock adoption, deployment and engagement to realize end-user and business value or ROI among target strategic customers. Develop and drive strategic initiatives to enable “hockey stick” ecosystem growth based on emerging AI agent capabilities, industry trends and strategic partnerships. Research, contextualize and evangelize frontier solutions, technology trends and opportunities to drive longer-term investments and product shifts. Cover multiple regions in the Eastern Hemisphere and work with peer product teams in the Americas and Europe (occasional flexibility around work schedules is expected). Embody our culture and values. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Product Manager II Bangalore, Karnataka, India Date posted Jul 25, 2025 Job number 1849968 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Product Management Discipline Product Management Employment type Full-Time Overview Microsoft 365 Copilot harnesses the power of generative AI through foundational large language models to usher in a new era of AI-first productivity for hundreds of millions of enterprise users. As business workflows don't typically run exclusively on Microsoft 365 applications and data formats, Copilot is built as a platform right from the very beginning. Using extensibility, customers augment M365 Copilot with AI agents – which leverage custom skills, organizational-specific knowledge and natural language instructions to enable truly spectacular AI scenarios and power connected workflows. M365 Copilot Platform Ecosystem team is designing and building innovative AI agents on the M365 Copilot platform, including agent templates for makers as well as more bespoke solutions with leading customers. As a Product Manager II in the team, you will drive the next wave of agents built using the latest generative AI technology on M365 Copilot’s extensible platform. Working across our engineering teams and with our most strategic customers and partners, you will deliver high-quality, sticky and transformative Copilot agents for use by millions of end-users. This engineering PM role is an excellent opportunity to don both scenario and experience-focused product PM as well as an external-facing solutions PM (Ecosystem PM) hats – at the same time! We are looking for self-motivated, entrepreneurial, hands-on technical and outcome-drive Product Manager candidates who can operate in a fast-paced environment – predicated by rapid change and opportunities birthed out of ambiguity. You will frequently influence internal and customer stakeholders without authority, perform rapid exploration, bring your high sense of ownership and bias for execution to own and drive the vision, strategy and product roadmap for multiple customer and partner-built agents with a responsibility for partner and customer impact, developer experience, adoption growth strategy and business impact/ROI to support the next wave of growth for Copilot agents. You will have a direct role in pushing the latest AI frontiers, including autonomous agents, agentic AI systems, deep research and reasoning, multi-agent frameworks, complex data reasoning, model fine-tuning and agentic UX. The ideal candidate for this role is an experienced "builder" who advocates for generative AI-led transformation. They should be an "agent boss," meaning they regularly utilize generative AI and agents in their daily activities. The candidate should possess a "learn-it-all" mindset rather than a "know-it-all" attitude, and be comfortable navigating the uncertainties associated with transformative, time-sensitive, ROI-driven engagements with customers aiming to become Frontier Firms. This individual must adopt both business- and user-centric approaches to setting objectives, conducting executive-level discussions, aligning stakeholders, managing escalations, planning product roadmaps, and scheduling engagement timelines. They will lead the technical solution development, collaborating with internal M365 Copilot platform engineering teams as well as customers and developers working on our platform. Hands on experience with tools like Replit, Cursor, LangChain, LllamaIndex, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, Lovable, Claude, etc. is a must. This must be demonstrated using real examples of rapid solution prototyping. We operate in a fast-paced environment with rapid exploration, iteration, and execution, as we develop the M365 Copilot extensibility platform to transform how people and companies work using generative AI. Your peers will be among the top professionals in the industry, sharing a strong focus on customer and partner success. This role involves interacting with partners and customers, and occasional travel within and outside the base location is expected. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree AND 5+ years experience in product/service/project/program management or software development OR equivalent experience. Previous experience with proven success in working on customer-facing technical engagements. Previous experience working in the generative AI domain, strong familiarity with AI fundamentals, LLMs, RAG, GPTs, AI agents, AI cloud services architecture etc. Hands on experience with tools like Replit, Cursor, LangChain, LllamaIndex, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, Lovable, Claude, etc. is a must. Solid executive presence and ability to think analytically and creatively on your feet. The ability to wear many hats and speak many language – from business to product to design to technical – learn quickly and change direction when needed. Experience presenting to senior executives, technical product/IT/BDM staff and end users; able to pivot quickly and adapt messaging to suit audience technical levels and ROI/value requirements. Demonstrated ability of very strong product thinking, technical solutioning, continuous tech upskilling and growth mindset. The ability to think creatively and critically about product features, user journeys and scenarios in the enterprise workflows space. Self-organized, strong project management, growth hacking, leadership and cross-group collaboration skills. Innate curiosity and ability to self-start in an ambiguous, highly autonomous and rapidly changing, new domain with evolving product, technology and customer maturity. Excellent written and verbal communication/presentation skills through all levels of the organization, technical and non-technical. Good problem-solving skills and ability to think strategically on the feet. Ability to hold technical discussions, go deep in technical areas, when required especially in domains of generative AI, LLM technology. Proven ability to build data-driven product experiences, define metrics and use analytics to derive insights to arrive at product & growth decisions. Preferred Qualifications: 8+ years of product management experience with proven success in working with enterprise developer partners & customers. Recent experience building and prototyping generative AI-based solutions (RAG, GPT, LLM) and general awareness of the rapidly-evolving AI, especially generative AI landscape. Hands-on expertise with AI agents as a “builder” using low-code/no-code or pro-code tools or technical stacks. Hands-on experience or solid familiarity with the Microsoft technology stack is preferred (M365 Copilot extensibility, AI agents, Azure OpenAI, Azure AI Foundry, Graph Connectors, Microsoft Teams extensibility platform, etc.). #DPG Responsibilities Work with product managers, developers, UX designers from our most strategic customers across C-suite, architects and developers. Explore the customer problem space and key requirements, pitch the potential of generative AI agents to transform business processes, lead envisioning and UX/technical design through with developers to build, ship and adopt Copilot agents into production. Build POC prototypes to bring customers’ vision to life. Serve as a key subject matter expert on M365 Copilot/Azure AI Foundry/Microsoft AI platform and agent capabilities, architecture; collaborate closely with peers, external partners and customers to train, advise and guide on technical capabilities, solution design and AI platform strategy. Drive key product insights and developer ecosystem signals coming straight from the market to shape the future of the M365 Copilot, help drive backlog prioritization, envisioning and spec’ing of new, innovative extensibility features and our AI extensibility stack inside Microsoft 365 Copilot app, Teams, Outlook, Word, PowerPoint, Excel, Windows and other host products Get exposure to 100s of diverse scenarios working alongside customers & partners using M365 Copilot (Microsoft's biggest bet since 'a PC on every desk') - basically never get bored since no two solutions are alike! Work directly with your feature crew colleagues across M365 Copilot platform engineering to design and deliver innovative extensibility features, including technical envisioning for how Copilot agents will work and interact with other services and applications. Determine adoption strategy for the Copilot agents shipped, unblock adoption, deployment and engagement to realize end-user and business value or ROI among target strategic customers. Develop and drive strategic initiatives to enable “hockey stick” ecosystem growth based on emerging AI agent capabilities, industry trends and strategic partnerships. Research, contextualize and evangelize frontier solutions, technology trends and opportunities to drive longer-term investments and product shifts. Cover multiple regions in the Eastern Hemisphere and work with peer product teams in the Americas and Europe (occasional flexibility around work schedules is expected). Embody our culture and values. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Experience Required 610+ years in AI/ML development, with 3+ years of hands-on experience in Generative AI, RAG frameworks, and Agentic AI systems. Job Summary We are seeking highly skilled Generative AI Engineers to join a dynamic team focused on building enterprise-grade, production-ready AI systems using RAG and Agentic AI paradigms. The ideal candidates will have hands-on experience developing and fine-tuning LLM-based applications, integrating feedback loops, and implementing safeguards in regulated or complex business environments. Key Responsibilities Design, develop, and optimize RAG pipelines using frameworks such as LangChain, LlamaIndex, or custom built stacks. Implement Agentic AI architectures involving task-based agents, stateful memory, planning-execution workflows, and tool augmentation. Perform model fine-tuning, embedding generation, and evaluation of LLM outputs; incorporate human and automated feedback loops. Build and enforce guardrails to ensure safe, compliant, and robust model behaviorincluding prompt validation, output moderation, and access controls. Collaborate with cross-functional teams to deploy solutions in cloud-native environments such as Azure OpenAI, AWS Bedrock, or Google Vertex AI. Contribute to system observability via dashboards and logging, and support post-deployment model monitoring and optimization. Required Qualifications Proven production experience with RAG frameworks like LangChain, LlamaIndex, or custom-built solutions Solid understanding of Agentic AI design patterns: task agents, memory/state tracking, and orchestration logic Strong expertise in LLM fine-tuning, vector embeddings, evaluation strategies, and feedback integration Experience with implementing AI guardrails (e.g., moderation, filtering, prompt validation) Proficiency in Python, LLM APIs (OpenAI, Anthropic, Cohere, etc.), and vector database integration Familiarity with CI/CD pipelines, API integrations, and cloud-native deployment patterns Preferred Qualifications Experience working on AI projects in regulated environments (Banking domain) Hands-on experience with cloud AI platforms : Azure OpenAI, AWS Bedrock, or Google Vertex AI Knowledge of prompt engineering, RLHF, and LLM observability frameworks Experience building or leveraging internal LLM evaluation harnesses, agent orchestration layers, or compliance dashboards (ref:hirist.tech)

We're seeking an experienced Ruby on Rails Developer with strong React skills to join our growing remote team. Youll work on a modern, Dockerized application stack deployed on VPS servers and contribute to the development, testing, and deployment of scalable web applications. This role demands hands-on experience with React alongside Rails, and a strong understanding of building dynamic, full-stack applications. Key Responsibilities Develop and maintain web applications using Ruby on Rails. Build responsive, dynamic front-end features using React (mandatory) along with HTML-based templates (ERB) and Stimulus JS. Ensure quality through system test suites using Capybara, Selenium, and Minitest. Collaborate with the team in a month-long sprint cadence, managed via Notion. Manage version control and conduct code reviews on GitHub. Utilize AWS services including S3, SQS, and CloudWatch. Participate in architecture decisions, performance optimization, and security best practices. Work in a Dockerized local development environment. Troubleshoot, debug, and upgrade existing Environment : VPS Servers (Ubuntu 20) with Nginx. React. PostgreSQL. Ruby on Rails 6. StimulusJS. Capybara, Selenium, Minitest. AWS (S3, SQS, CloudWatch). GitHub, Notion. OpenAI integrations (as : 2-5 years of experience in full-stack web development. Mandatory : Hands-on experience building SPAs and dynamic UIs using React. Strong knowledge of PostgreSQL and general web application architecture. Experience with Ruby on Rails (6.1 preferred). Familiarity with HTML, JavaScript (StimulusJS), and ERB. Experience working in Dockerized development environments. Proficiency in writing and maintaining test suites (Capybara, Minitest, Selenium). Agile team experience using tools like Notion or Jira. Exposure to cloud infrastructure, preferably AWS (S3, SQS, CloudWatch). Excellent communication skills and ability to work in a remote, collaborative environment. Should be available to start & Benefits : Competitive salary. Collaborative and inclusive team culture. Continuous learning and skill development. Opportunity to work on real-world AI integrations and scalable systems. (ref:hirist.tech)

Auxiliobits is a global consulting and AI services firm that specializes in delivering transformative automation solutions across various industries. With a presence in India, Dubai, and the US, we focus on HyperAutomation, Agentic AI, and Intelligent Process Automation, leveraging advanced technologies such as UiPath, LLMs, Autonomous Agents, and cloud-native deployments. We are currently looking for a Senior RPA + Agentic AI Developer to take the lead in developing and deploying next-gen automation solutions. The ideal candidate should possess solid expertise in UiPath development and have hands-on experience or a keen interest in Agentic AI frameworks like LangChain, ReAct, or UiPath's Agentic features. In this role, you will collaborate closely with cross-functional teams to deliver automation systems that go beyond being rule-based to being reasoning- and context-aware. Key Responsibilities: - Design, build, and deploy scalable RPA solutions using UiPath and modern automation frameworks. - Develop and integrate Agentic AI components, such as ReAct-style agents, LLM orchestration, and autonomous workflows. - Utilize APIs, cloud services, and enterprise data to facilitate AI-powered decision-making and process execution. - Identify automation opportunities blending RPA and AI in collaboration with Process Owners and Business Analysts. - Implement document understanding, NLP models, and AI-based classification in end-to-end workflows. - Create reusable components, libraries, and utilities to expedite delivery. - Ensure adherence to security, scalability, and auditability standards. Required Qualifications: - Minimum 5 years of experience in RPA development, with at least 3 years focusing on UiPath (REFramework, Queues, Orchestrator, etc.). - Preferably possess the UiPath Advanced Developer Certification. - Proficiency in .NET, VB, Python, or similar programming languages. - Experience in integrating REST/SOAP APIs, working with databases, and handling structured/unstructured data. - Familiarity with LLMs, prompt engineering, LangChain, OpenAI, or similar AI tools. - Hands-on exposure to ReAct agents, retrieval-augmented generation (RAG), or agent orchestration concepts. - Strong problem-solving skills and the ability to work independently in a fast-paced environment. Good to Have: - Experience in Agentic Process Automation or multi-agent architectures. - Knowledge of cloud services like Azure, AWS, GCP, and deploying AI/RPA workloads on the cloud. - Domain expertise in finance, healthcare, logistics, or procurement. - Familiarity with platforms such as UiPath Apps, Action Center, and AI Center. Perks & Benefits: - Opportunity to work with cutting-edge automation and AI technologies. - Collaboration with a high-performance team and global clients. - Exposure to enterprise-grade deployments and innovation projects. - Career advancement prospects in an AI-first automation company.,

AI DEVELOPER LLM Can Work Description RMgX is a Gurgaon based digital product innovation & consulting firm. Here at RMgX, we design and build elegant, data-driven digital solutions for complex business problems. At the core of solutions crafted by us is a very strong user experience practice to deeply understand the goals and emotions of business and end-users. RMgX is driven by a passion for quality and we strongly believe in our people and their Description : Duties And Responsibilities Design, develop, and deploy AI solutions using Large Language Models (LLMs) such as GPT, LLaMA, Claude, or Mistral. Fine-tune and customize pre-trained LLMs for business-specific use cases. Build and maintain NLP pipelines for classification, summarization, semantic search, etc. Build and maintain vector database pipelines using Milvus, Pinecone, etc. Collaborate with cross-functional teams to integrate LLM-based features into applications. Analyze and improve model performance using appropriate metrics. Stay up-to-date with AI/ML research and integrate new techniques as EXPERIENCE : 12 years of experience in AI/ML development with specific focus on NLP and LLM-based ABILITIES & KNOWLEDGE : Strong hands-on experience in Python and AI/ML libraries (HuggingFace Transformers, LangChain, PyTorch, TensorFlow, etc.) Proficiency in working with closed-source models via APIs (e.g., OpenAI, Gemini) Understanding of prompt engineering, embeddings, and vector databases like FAISS, Milvus or Pinecone. Experience in deploying models using REST APIs, Docker, and cloud platforms (AWS/GCP/Azure) Familiarity with MLOps and version control tools (Git, MLflow, etc.) Knowledge of LLMOps platforms such as LangSmith, Weights & Biases is a plus Strong problem-solving skills, a keen eye for detail, and ability to work in an agile : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related Information : Perks And Benefits Flexible working hours Saturday and Sundays are fixed off Health Insurance and Personal Accident Insurance BYOD (Bring Your Own Device) Benefit Laptop Buyback Scheme (ref:hirist.tech)

About The Role We are seeking a highly motivated and creative Platform Engineer with a true research mindset. This is a unique opportunity to move beyond traditional development and step into a role where you will ideate, prototype, and build production-grade applications powered by Generative AI. You will be a core member of a platform team, responsible for developing both internal and customer-facing solutions that are not just functional but intelligent. If you are passionate about the MERN stack, Python, and the limitless possibilities of Large Language Models (LLMs), and you thrive on building things from the ground up, this role is for you. Core Responsibilities - Full-Stack Engineering : Write clean, scalable, and robust code across the MERN stack (MongoDB, Express.js, React, Node.js) and Python. AI-Powered Product Development : Create and enhance key products such as : Intelligent chatbots for customer service and internal support. Automated quality analysis and call auditing systems using LLMs for transcription and sentiment analysis. AI-driven internal portals and dashboards to surface insights and streamline workflows. Gen AI Integration & Optimization : Work hands-on with foundation LLMs, fine-tuning custom models, and implementing advanced prompting techniques (zero-shot, few-shot) to solve specific business problems. Research & Prototyping : Explore and implement cutting-edge AI techniques, including setting up systems for offline LLM inference to ensure privacy and performance. Collaboration : Partner closely with product managers, designers, and business stakeholders to transform ideas into tangible, high-impact technical solutions. Required Skills & Experience Experience : 2-5 years of professional experience in a software engineering role. Full-Stack Proficiency : Strong command of the MERN stack (MongoDB, Express.js, React, Node.js) for building modern web applications. Python Expertise : Solid programming skills in Python, especially for backend services and AI/ML workloads. Generative AI & LLM Experience (Must-Have) Demonstrable experience integrating with foundation LLMs (e.g., OpenAI API, Llama, Mistral, etc.). Hands-on experience building complex AI systems and implementing architectures such as Retrieval-Augmented Generation (RAG) to ground models with external knowledge. Practical experience with AI application frameworks like LangChain and LangGraph to create agentic, multi-step workflows. Deep understanding of prompt engineering techniques (zero-shot, few-shot prompting). Experience or strong theoretical understanding of fine-tuning custom models for specific domains. Familiarity with concepts or practical experience in deploying LLMs for offline inference. R&D Mindset : A natural curiosity and passion for learning, experimenting with new technologies, and solving problems in novel ways. Bonus Points (Nice-to-Haves) Cloud Knowledge : Hands-on experience with AWS services (e.g., EC2, S3, Lambda, SageMaker). (ref:hirist.tech)

Job Location : Noida Job Role : Sr. AI/ML/ Data Scientist Overview We are seeking a highly skilled and experienced AI/ML Expert to spearhead the design, development, and deployment of advanced artificial intelligence and machine learning models. This role requires a strategic thinker with a deep understanding of ML algorithms, model optimization, and production-level AI systems. You will guide cross-functional teams, mentor junior data scientists, and help shape the AI roadmap to drive innovation and business impact. This role involves statistical analysis, data modeling, and interpreting large sets of data. An AI/ML expert with experience in creating AI models for data intelligence companies who specializes in developing and deploying artificial intelligence and machine learning solutions tailored for data-driven businesses. This expert should possess a strong background in data analysis, statistics, programming, and machine learning algorithms, enabling them to design innovative AI models that can extract valuable insights and patterns from vast amounts of data. About The Role The design and development of a cutting-edge application powered by large language models (LLMs). This tool will provide market analysis and generate high-quality, data-driven periodic insights. You will play a critical role in building a scalable and intelligent system that integrates structured data, NLP capabilities, and domain-specific knowledge to produce analyst-grade content. Key Responsibilities Design and develop LLM-based systems for automated market analysis. Build data pipelines to ingest, clean, and structure data from multiple sources (e.g., market feeds, news articles, technical reports, internal datasets). Fine-tune or prompt-engineer LLMs (e.g., GPT-4.5, Llama, Mistral) to generate concise, insightful reports. Collaborate closely with domain experts to integrate industry-specific context and validation into model outputs. Implement robust evaluation metrics and monitoring systems to ensure quality, relevance, and accuracy of generated insights. Develop and maintain APIs and/or user interfaces to enable analysts or clients to interact with the LLM system. Stay up to date with advancements in the GenAI ecosystem and recommend relevant improvements or integrations. Participate in code reviews, experimentation pipelines, and collaborative research Required : Strong fundamentals in machine learning, deep learning, and natural language processing (NLP). Proficiency in Python, with hands-on experience using libraries such as NumPy, Pandas, and Matplotlib/Seaborn for data analysis and visualization. Experience developing applications using LLMs (both closedand open-source models). Familiarity with frameworks like Hugging Face Transformers, LangChain, LlamaIndex, etc. Experience building ML models (e.g., Random Forest, XGBoost, LightGBM, SVMs), along with familiarity in training and validating models. Practical understanding of deep learning frameworks: TensorFlow or PyTorch. Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), and LLM evaluation strategies. Experience working with REST APIs, data ingestion pipelines, and automation workflows. Strong analytical thinking, problem-solving skills, and the ability to convert complex technical work into business-relevant insights. Preferred Familiarity with the chemical or energy industry, or prior experience in market research/analyst workflows. Exposure to frameworks such as OpenAI Agentic SDK, CrewAI, AutoGen, SmolAgent, etc. Experience deploying ML/LLM solutions to production environments (Docker, CI/CD). Hands-on experience with vector databases such as FAISS, Weaviate, Pinecone, or ChromaDB. Experience with dashboarding tools and visualization libraries (e.g., Streamlit, Plotly, Dash, or Tableau). Exposure to cloud platforms (AWS, GCP, or Azure), including usage of GPU instances and model hosting services. About ChemAnalyst ChemAnalyst is a digital platform, which keeps a real-time eye on the chemicals and petrochemicals market fluctuations, thus, enabling its customers to make wise business decisions. With over 450 chemical products traded globally, we bring detailed market information and pricing data at your fingertips. Our real-time pricing and commentary updates enable users to stay acquainted with new commercial opportunities. Each day, we flash the major happenings around the globe in our news section. Our market analysis section takes it a step further, offering an in-depth evaluation of over 15 parameters including capacity, production, supply, demand gap, company share and among others. Our team of experts analyse the factors influencing the market and forecast the market data for up to the next 10 years. We are a trusted source of information for our international clients, ensuring user-friendly and customized deliveries on time. (ref:hirist.tech)

As an AI Automation Executive, you will play a crucial role in supporting the design, development, and implementation of AI-based automation solutions across various business processes. Your responsibilities will include identifying automation opportunities, creating AI workflows, and enhancing operations through the use of cutting-edge tools and platforms. You will be tasked with identifying business areas and repetitive processes that can benefit from AI-driven automation. By leveraging AI tools, APIs, and automation platforms such as Zapier, Make, UiPath, and Power Automate, you will design and implement automation workflows to streamline operations. Additionally, you will develop and maintain chatbots, AI assistants, and other AI-based solutions using tools like OpenAI and Dialogflow. Collaboration with internal teams will be essential as you gather requirements and translate them into automation projects. Monitoring, analyzing, and optimizing automated processes to ensure performance, accuracy, and reliability will also be part of your responsibilities. Upholding data security and compliance standards within automation workflows will be a key priority. To excel in this role, you should possess a Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Previous experience with AI tools, workflow automation platforms, or scripting languages like Python and JavaScript will be advantageous. Familiarity with tools such as OpenAI, ChatGPT, Zapier, Make (Integromat), and Power Automate is desirable. Strong problem-solving and analytical thinking skills will also be crucial for success. Staying updated with the latest trends and tools in AI, machine learning, and process automation will be necessary. Providing support and training to team members on new AI tools and systems, as well as documenting processes, workflows, and best practices for future reference, are key aspects of this role. This is a full-time position that requires in-person work. If you are a tech-savvy and innovative professional with a passion for AI automation, we encourage you to apply and be part of our dynamic team.,

About Aeris: For more than three decades, Aeris has been a trusted cellular IoT leader enabling the biggest IoT programs and opportunities across Automotive, Utilities and Energy, Fleet Management and Logistics, Medical Devices, and Manufacturing. Our IoT technology expertise serves a global ecosystem of 7,000 enterprise customers and 30 mobile network operator partners, and 80 million IoT devices across the world. Aeris powers today’s connected smart world with innovative technologies and borderless connectivity that simplify management, enhance security, optimize performance, and drive growth. Built from the ground up for IoT and road-tested at scale, Aeris IoT Services are based on the broadest technology stack in the industry, spanning connectivity up to vertical solutions. As veterans of the industry, we know that implementing an IoT solution can be complex, and we pride ourselves on making it simpler. Our company is in an enviable spot. We’re profitable, and both our bottom line and our global reach are growing rapidly. We’re playing in an exploding market where technology evolves daily and new IoT solutions and platforms are being created at a fast pace. A few things to know about us: We put our customers first . When making decisions, we always seek to do what is right for our customer first, our company second, our teams third, and individual selves last. We do things differently. As a pioneer in a highly competitive industry that is poised to reshape every sector of the global economy, we cannot fall back on old models. Rather, we must chart our own path and strive to out-innovate, out-learn, out-maneuver and out-pace the competition on the way. We walk the walk on diversity. We’re a brilliant and eclectic mix of ethnicities, religions, industry experiences, sexual orientations, generations and more – and that’s by design. We see diverse perspectives as a core competitive advantage. Integrity is essential. We believe in doing things well – and doing them right. Integrity is a core value here: you’ll see it embodied in our staff, our management approach and growing social impact work (we have a VP devoted to it). You’ll also see it embodied in the way we manage people and our HR issues: we expect employees and managers to deal with issues directly, immediately and with the utmost respect for each other and for the Company. We are owners. Strong managers enable and empower their teams to figure out how to solve problems. You will be no exception, and will have the ownership, accountability and autonomy needed to be truly creative. Job Title: Sr. SDET (Automation and GenAI), Automotive Experience: 5 to 8 Years Location: Gurgaon What You'll Do (Key Responsibilities): Automation Development: Design, build, and maintain scalable and efficient test automation frameworks and scripts for cloud-native applications. End-to-End Test Coverage: Implement and enhance automated tests for functional, performance, API, and security scenarios using tools like Playwright, Rest Assured, Postman, and JMeter. CI/CD Integration: Integrate test automation into CI/CD pipelines (e.g., Jenkins, GitLab CI/CD, Azure DevOps) to support rapid and reliable releases. Code Quality and Review: Contribute to clean, maintainable test code and participate in code reviews to uphold quality. Test Execution & Reporting: Participate in test planning, execution, and reporting. Ensure traceability and comprehensive coverage. Defect Analysis & Reporting: Log, track, and triage defects using tools like JIRA, Zephyr, or Xray. Use GenAI tools to assist with root cause analysis and defect predictions. GenAI Enablement: Use GenAI tools (e.g., ChatGPT, GitHub Copilot) to: Generate or refactor test cases from requirements Automate documentation and test optimization Identify potential risk areas through intelligent test coverage analysis Agile Collaboration: Collaborate with developers, product owners, and DevOps teams in Agile ceremonies and continuous delivery environments. Continuous Improvement: Contribute to testing process improvements and stay updated with modern testing and GenAI trends. What We're Looking For (Required Skills & Qualifications): Experience: 5 – 8 years in QA/Automation with 1 – 2 years in a senior role; cloud-native background preferred. Automation Expertise: Strong in Java, JavaScript, or Python for automation framework development. Proven skills in building scalable frameworks using tools like Rest Assured, Selenium, Playwright, Appium, and JMeter. GenAI Proficiency: Hands-on experience with GenAI tools (OpenAI, Gemini, Claude) for test automation, code generation, and analysis. Familiar with GitHub Copilot, ChatGPT, and similar AI-powered dev/test tools. Cloud & Microservices: Experience testing apps on AWS, Azure, or GCP in microservices-based architectures. CI/CD & DevOps: Proficient with Jenkins, GitLab CI/CD, Azure DevOps for automation pipeline integration. Testing Depth: Skilled in API testing (Postman, SoapUI), database validation (SQL/NoSQL), and broad testing methodologies. Strong grasp of functional, performance, security, and end-to- end testing practices. Soft Skills: Excellent problem-solving, analytical thinking, communication, and collaboration abilities. Bonus Points (Nice to Have): Automotive, Telematics, or IoT experience. Familiarity with real-time systems and event-driven architectures (Kafka, RabbitMQ). Monitoring/logging tools (eg Grafana). Performance tuning and system optimization for large-scale platforms. Why Join Us? High-Impact Work: Contribute to next-gen connected vehicle solutions used globally. Innovation-Driven: Operate at the edge of automotive, cloud, and Generative AI tech. Growth-Focused: Opportunities for advancement, leadership, and skill expansion. Diverse & Inclusive Culture: Join a team that celebrates diverse perspectives and inclusive collaboration. Collaborative Environment: Work with passionate, talented professionals solving real- world If you are a visionary SDET who thrives on technical challenges and is excited to shape the future of quality engineering with Generative AI in the connected vehicle space, we encourage you to apply! Aeris may conduct background checks to verify the information provided in your application and assess your suitability for the role. The scope and type of checks will comply with the applicable laws and regulations of the country where the position is based. Additional detail will be provided via the formal application process. Aeris walks the walk on diversity. We’re a brilliant mix of varying ethnicities, religions, cultures, sexual orientations, gender identities, ages and professional/personal/military experiences – and that’s by design. Diverse perspectives are essential to our culture, innovative process and competitive edge. Aeris is proud to be an equal opportunity employer.

About Aeris: For more than three decades, Aeris has been a trusted cellular IoT leader enabling the biggest IoT programs and opportunities across Automotive, Utilities and Energy, Fleet Management and Logistics, Medical Devices, and Manufacturing. Our IoT technology expertise serves a global ecosystem of 7,000 enterprise customers and 30 mobile network operator partners, and 80 million IoT devices across the world. Aeris powers today’s connected smart world with innovative technologies and borderless connectivity that simplify management, enhance security, optimize performance, and drive growth. Built from the ground up for IoT and road-tested at scale, Aeris IoT Services are based on the broadest technology stack in the industry, spanning connectivity up to vertical solutions. As veterans of the industry, we know that implementing an IoT solution can be complex, and we pride ourselves on making it simpler. Our company is in an enviable spot. We’re profitable, and both our bottom line and our global reach are growing rapidly. We’re playing in an exploding market where technology evolves daily and new IoT solutions and platforms are being created at a fast pace. A few things to know about us: We put our customers first . When making decisions, we always seek to do what is right for our customer first, our company second, our teams third, and individual selves last. We do things differently. As a pioneer in a highly competitive industry that is poised to reshape every sector of the global economy, we cannot fall back on old models. Rather, we must chart our own path and strive to out-innovate, out-learn, out-maneuver and out-pace the competition on the way. We walk the walk on diversity. We’re a brilliant and eclectic mix of ethnicities, religions, industry experiences, sexual orientations, generations and more – and that’s by design. We see diverse perspectives as a core competitive advantage. Integrity is essential. We believe in doing things well – and doing them right. Integrity is a core value here: you’ll see it embodied in our staff, our management approach and growing social impact work (we have a VP devoted to it). You’ll also see it embodied in the way we manage people and our HR issues: we expect employees and managers to deal with issues directly, immediately and with the utmost respect for each other and for the Company. We are owners. Strong managers enable and empower their teams to figure out how to solve problems. You will be no exception, and will have the ownership, accountability and autonomy needed to be truly creative. Job Title: Lead SDET (Automation and GenAI), Automotive Experience: 7 to 12 Years Location: Noida/Gurgaon What You'll Do (Key Responsibilities): Strategic Automation Leadership: Architect, design, and implement highly robust, scalable, and intelligent test automation frameworks for complex cloud-based services. Comprehensive Test Suite Development : Develop robust automated test coverage across functional, performance, security, and end-to-end layers using tools like Playwright, Rest Assured, JMeter, Postman, and Cucumber. Enforce Code Quality: Conduct code reviews to ensure high standards in both application and test automation code. Drive CI/CD Integration: Ensure seamless automation within CI/CD pipelines (Jenkins, GitLab CI/CD, Azure DevOps) for faster releases. Define Quality Strategy: Lead QA planning, execution, and reporting for safety-critical systems with a strong focus on coverage and traceability. Drive Defect Management: Oversee defect lifecycle with tools like JIRA, Zephyr, and Xray; use GenAI for faster triage and RCA. Champion GenAI Integration: Lead the identification, evaluation, and integration of Generative AI tools and techniques throughout the SDLC: Leverage GenAI for automated test case generation and optimization from requirements/specifications. Utilize GenAI for code generation and refactoring within automation frameworks and test scripts. Explore GenAI for predictive defect analysis, root cause suggestion, and anomaly detection Mentor & Innovate: Guide to junior engineers and promote AI-driven testing practices and continuous learning. Collaborate in Agile Teams: Work cross-functionally with Product, Dev, and DevOps to embed quality throughout the SDLC. What We're Looking For (Required Skills & Qualifications): Experience: 7–12 years in QA/Automation with 2 – 3 years in a lead/senior role; cloud-native background preferred. Automation Expertise: Strong in Java, JavaScript, or Python for automation framework development. Proven skills in building scalable frameworks using tools like Rest Assured, Selenium, Playwright, Appium, and JMeter. GenAI Proficiency: Hands-on experience with GenAI tools (OpenAI, Gemini, Claude) for test automation, code generation, and analysis. Familiar with GitHub Copilot, ChatGPT, and similar AI-powered dev/test tools. Cloud & Microservices: Experience testing apps on AWS, Azure, or GCP in microservices-based architectures. CI/CD & DevOps: Proficient with Jenkins, GitLab CI/CD, Azure DevOps for automation pipeline integration. Testing Depth: Skilled in API testing (Postman, SoapUI), database validation (SQL/NoSQL), and broad testing methodologies. Strong grasp of functional, performance, security, and end-to- end testing practices. Soft Skills: Excellent problem-solving, analytical thinking, communication, and collaboration abilities. Bonus Points (Nice to Have): Automotive, Telematics, or IoT experience. Familiarity with real-time systems and event-driven architectures (Kafka, RabbitMQ). Monitoring/logging tools (eg Grafana). Performance tuning and system optimization for large-scale platforms. Why Join Us? High-Impact Work: Contribute to next-gen connected vehicle solutions used globally. Innovation-Driven: Operate at the edge of automotive, cloud, and Generative AI tech. Growth-Focused: Opportunities for advancement, leadership, and skill expansion. Diverse & Inclusive Culture: Join a team that celebrates diverse perspectives and inclusive collaboration. Collaborative Environment: Work with passionate, talented professionals solving real-world challenges. If you are a visionary Lead SDET who thrives on technical challenges and is excited to shape the future of quality engineering with Generative AI in the connected vehicle space, we encourage you to apply! Aeris may conduct background checks to verify the information provided in your application and assess your suitability for the role. The scope and type of checks will comply with the applicable laws and regulations of the country where the position is based. Additional details will be provided via the formal application process. Aeris walks the walk on diversity. We’re a brilliant mix of varying ethnicities, religions, cultures, sexual orientations, gender identities, ages and professional/personal/military experiences – and that’s by design. Diverse perspectives are essential to our culture, innovative process and competitive edge. Aeris is proud to be an equal opportunity employer.

As a dynamic AI & Automation Strategist, you will be responsible for driving the implementation of intelligent, automation-first solutions across various internal departments. Your role will involve identifying opportunities for AI and automation, designing and managing efficient workflows, integrating AI tools into various tasks, collaborating with different teams, developing internal tools, and providing technical support for AI-based projects. You will work cross-functionally to embed AI tools and automation into everyday operations, transforming the way teams work and deliver value. Your key responsibilities will include identifying opportunities for AI and automation across departments such as Sales, Project Management, Development, QA, SEO, Design, and HR. You will design and manage efficient workflows using tools like n8n, Zapier, or other automation tools to streamline internal processes. Collaborating with team leads, you will evaluate inefficiencies and recommend AI-powered solutions. Additionally, you will integrate AI into QA and development tasks, collaborate with the Sales team to automate CRM updates, lead nurturing flows, email campaigns, and reporting, develop internal tools, scripts, or dashboards, guide teams on effectively using AI tools, and pilot new tools while continuously refining implementation strategies. The desired skills for this role include a minimum of 6 months of hands-on experience in AI or automation-related projects, familiarity with low-code/no-code platforms like n8n, Zapier, Make, or similar, working knowledge of AI APIs/tools such as OpenAI, Hugging Face, or Google Vertex AI, basic proficiency in JavaScript or Python for task automation and API integration, understanding of frontend/backend workflows and QA cycles, ability to build simple tools and integrations to enhance team productivity, strong analytical and problem-solving skills, and effective communication abilities to explain technical ideas to non-technical users. Nice to have skills for this role include experience in building internal tools or automations, exposure to concepts like vector databases, LangChain, or agent-based automation, previous involvement in AI/automation training or workshops, awareness of AI ethics and best practices in data usage, and familiarity with automation in development pipelines or DevOps environments.,

We are seeking a highly skilled and passionate Software Developer with expertise in Python programming and a strong background in automation and AI technologies. The ideal candidate will have experience working on projects involving Large Language Models (LLMs), including fine-tuning, optimization, and integration. This role requires someone who can write clean, efficient code, automate processes, and contribute to the development of AI-driven solutions. Key Responsibilities Design, develop, and maintain robust Python applications and scripts for various business use cases. Build and enhance automation frameworks, tools, and workflows to improve efficiency. Work with LLMs (Large Language Models), including fine-tuning, prompt engineering, and model deployment. Integrate AI models into applications and services using APIs or custom pipelines. Collaborate with cross-functional teams (data scientists, ML engineers, product managers) to deliver end-to-end AI solutions. Optimize code for performance, scalability, and maintainability. Troubleshoot, debug, and enhance existing systems and automations. Stay updated with the latest advancements in AI/ML, LLMs, and Python ecosystems. Required Skills & Qualifications 3+ years of professional experience as a Python Developer or Software Engineer. Proven experience in writing clean, efficient, and maintainable Python code. Hands-on experience building automation workflows (e.g., using Python scripts, Airflow, or other automation tools). Working knowledge of AI/ML concepts, specifically Large Language Models (e.g., OpenAI, Hugging Face, LLaMA, GPT models). Experience in fine-tuning LLMs or training custom models using frameworks such as PyTorch ,TensorFlow , LangChain Familiarity with APIs, RESTful services, and AI integrations. Strong problem-solving skills and ability to work in a collaborative team environment. Good understanding of version control systems (Git) and CI/CD practices. Preferred Qualifications Experience with cloud platforms (AWS, GCP, Azure) for AI/ML model deployment. Familiarity with Docker or Kubernetes for containerized deployments. Knowledge of data pipelines and ETL processes. Experience with prompt engineering and building LLM-powered chatbots or applications. Exposure to LangChain or other LLM orchestration frameworks. Soft Skills Strong analytical and debugging abilities. Excellent communication and teamwork skills. Ability to work on multiple projects with tight deadlines. Passion for learning emerging technologies and applying them to real-world problems.

As a Senior Director at Accordion, you will be utilizing your skills and expertise as an Azure/AWS Web Application Developer with proficiency in MEAN (MongoDB, Express.js, AngularJS, Node.js) or MERN (MongoDB, Express.js, React.js, Node.js) stack. Your primary responsibility will involve the design, development, and maintenance of web applications hosted on the Azure and AWS platforms. Collaborating with cross-functional teams, you will ensure the delivery of high-quality web applications that align with client requirements. Your key responsibilities will include: - Designing, developing, and maintaining complex web applications using the MERN stack (MongoDB, Express.js, React.JS, and Node.js). - Integrating generative AI models and tools into applications to enhance user experiences and introduce innovative features. - Collaborating with UI/UX designers, data scientists, and backend developers to ensure seamless integration and delivery of high-quality products. - Staying updated with industry trends by researching and evaluating new technologies and tools. - Providing technical leadership and mentorship to junior team members. Ideal candidates for this role should possess: - Proficiency in the MERN stack, including JavaScript, TypeScript, HTML, CSS, and MongoDB. - Experience in designing and developing scalable and maintainable web applications. - Familiarity with serverless computing and containerization technologies such as AWS Lambda and Docker. - Knowledge of DevOps practices and tools like CI/CD pipelines and Git. - Experience with data visualization and analytics tools like Tableau and Power BI. Joining Accordion presents a rewarding career opportunity with benefits including: - High-growth environment with semi-annual performance management and promotion cycles fostering quick progression to leadership roles. - Exposure to diverse work streams across industries and domains to keep you engaged and motivated. - Entrepreneurial environment that encourages decision-making and ownership. - Fun and non-bureaucratic culture with a strong peer group to challenge and accelerate your learning curve. Additionally, Accordion offers a range of benefits for full-time employees such as health and wellness programs, corporate meal card options, team outings, robust leave policies, reward and recognition platforms, and a positive work environment with various employee engagement initiatives to support personal and professional development.,

As an AI Tester at Emerson, you will play a crucial role in ensuring the quality and reliability of AI-driven applications through various testing methods. You will collaborate closely with data scientists, software engineers, and other team members to enhance the performance and usability of AI applications. Your responsibilities will include designing and executing detailed test plans, conducting rigorous tests on AI-based applications, identifying and reporting defects, developing automated test scripts, preparing test data, performing different types of testing, and contributing to the improvement of QA processes and testing frameworks. You will need a Bachelor's degree with 2+ years of relevant experience or a Master's degree with 1+ year of relevant experience. Strong knowledge of AI technologies, machine learning frameworks, and NLP is essential, along with excellent English communication skills. Being a cross-functional, detailed, organized, and proactive teammate who is willing to accept feedback and implement changes promptly is crucial for success in this role. Additionally, you should be comfortable working in an Agile development environment, have a curiosity for software installation and configuration, and possess strong research skills. Preferred qualifications that set you apart include a Bachelor's degree in Computer Science or Engineering, 3+ years of experience in Quality Assurance testing for AI-based applications, knowledge of ethical AI principles, and proficiency with automated testing tools and AI platforms. This is a full-time position with a day shift schedule that requires in-person work at Matrix Tower, Pune, India.,

DecisionX is pioneering a new category with the world's first Decision AI, an AI Super-Agent that assists high-growth teams in making smarter, faster decisions by transforming fragmented data into clear next steps. Whether it involves strategic decisions in the boardroom or operational decisions across various departments like Sales, Marketing, Product, and Engineering, down to the minutiae that drives daily operations, Decision AI serves as your invisible co-pilot, thinking alongside you, acting ahead of you, and evolving beyond you. We are seeking a dedicated and hands-on AI Engineer to join our Founding team. In this role, you will collaborate closely with leading AI experts to develop the intelligence layer of our exclusive "Agentic Number System." Key Responsibilities - Building, fine-tuning, and deploying AI/ML models for tasks such as segmentation, scoring, recommendation, and orchestration. - Developing and optimizing agent workflows using LLMs (OpenAI, Claude, Mistral, etc.) for contextual reasoning and task execution. - Creating vector-based memory systems utilizing tools like FAISS, Chroma, or Weaviate. - Working with APIs and connectors to incorporate third-party data sources (e.g., Salesforce, HubSpot, GSuite, Snowflake). - Designing pipelines that transform structured and unstructured signals into actionable insights. - Collaborating with GTM and product teams to define practical AI agent use cases. - Staying informed about the latest developments in LLMs, retrieval-augmented generation (RAG), and agent orchestration frameworks (e.g., CrewAI, AutoGen, LangGraph). Must Have Skills - 5-8 years of experience in AI/ML engineering or applied data science. - Proficient programming skills in Python, with expertise in LangChain, Pandas, NumPy, and Scikit-learn. - Experience with LLMs (OpenAI, Anthropic, etc.), prompt engineering, and RAG pipelines. - Familiarity with vector stores, embeddings, and semantic search. - Expertise in data wrangling, feature engineering, and model deployment. - Knowledge of MLOps tools such as MLflow, Weights & Biases, or equivalent. What you will get - Opportunity to shape the AI architecture of a high-ambition startup. - Close collaboration with a visionary founder and experienced product team. - Ownership, autonomy, and the thrill of building something from 0 to 1. - Early team equity and a fast growth trajectory.,

You will be joining Illumina, a leading developer, manufacturer, and marketer of life science tools and integrated systems dedicated to making genomics useful for all. Illumina's integrated Indian global hub in Bengaluru, Illumina India Biotechnology Private Limited, is focused on technology activities that will help usher in the next wave of innovation in healthcare and medical research. If you are eager to work on challenging projects that use cutting-edge technology to transform the future of healthcare, this is your chance to join a truly remarkable team. As an Intelligent Automation Engineer, you will be a part of the Global Operations Data and AI team that provides management and support of tools/services to users across supply chain, quality, and manufacturing organizations. Your responsibilities will include delivering and supporting Intelligent Automation Solutions based on UiPath, OpenAI, PowerApps, or related AI/Automation Tools. You may need to perform business process analysis, application configuration, application integrations, end-user support, and solve complex technical problems. Your key responsibilities will include working as part of Agile scrum teams to design, implement, and test solutions supporting business needs across our Automation, AI, and Custom Apps portfolio. You will deliver architecture, designs, and implementations, participate in all aspects of the agile development process, create and execute unit tests, troubleshoot and resolve software defects, and contribute to software design reviews and code reviews. Additionally, you will provide general to complex technology support, independently debug and resolve complex application issues, provide application best practice guidance to end users, manage application functionality updates, integrations, configurations, releases, and security settings, work on sustaining issues, enhancements, and projects, and develop, update, and implement policies and procedures to maintain best practices. The preferred experience, education, and skills for this role include a Bachelor's degree in computer science or Engineering (Master's preferred), at least 3 years of experience with strong technical and functional experience in hands-on application support, administration, configurations, integration, enhancements, and project work. Experience using commercially available solutions like UiPath and Microsoft Power Apps is required, and experience with AI/Gen AI applications (LLMs, Prompt Engineering) is a plus. You should have strong technical experience in hands-on application administration and configuration of both on-premises and cloud-delivered services, experience in a fast-paced, global, corporate environment, eagerness to learn new technology and processes, ability to analyze technical and data problems and propose solutions, excellent oral and written communication skills, API and scripting experience, ability to interface well with cross-functional teammates, and change control experience in an FDA regulated environment. This position typically requires a Bachelor's degree and a minimum of 2 years of related experience, an advanced degree without experience, or equivalent work experience. You should be willing to work in shifts to support US business stakeholders (night shift not required).,

4+ years of experience in Java development with Spring Boot. Experience integrating AI/ML models into backend systems. Must have experience in any of the GenAI tools like Bedrock/ OpenAi/Tensorflow/Ai21/Anthropic/Cohere/Stability OR Scikit-Learn Strong understanding of RESTful API design and microservices. Familiarity with AI/ML tools and frameworks (e.g., Python, TensorFlow, Scikit-learn). Experience with cloud platforms (AWS, GCP, or Azure). Knowledge of containerization (Docker, Kubernetes) and event-driven architectures. Preferred Qualifications Experience with GenAI platforms (e.g., AWS Bedrock, OpenAI) Understanding of MLOps practices and model lifecycle management. Bachelors or Masters degree in Computer Science, Engineering, or related field.

As an Enterprise Architect & AI Expert, your role will involve defining and maintaining the enterprise architecture framework, standards, and governance. You will align IT strategy with business goals to ensure architectural integrity across systems and platforms. Leading the development of roadmaps for cloud, data, application, and infrastructure architectures will be a key responsibility. It will also be crucial to evaluate and select technologies, platforms, and tools that align with enterprise goals. You will be responsible for designing and implementing AI/ML solutions to solve complex business problems. Leading AI initiatives such as NLP, computer vision, predictive analytics, and generative AI will be part of your duties. Collaborating with data scientists, engineers, and business stakeholders to deploy AI models at scale will be essential. Ensuring ethical AI practices, data governance, and compliance with regulatory standards will also be critical. In terms of leadership and collaboration, you will act as a strategic advisor to senior leadership on technology trends and innovation. Mentoring cross-functional teams, promoting architectural best practices, and facilitating enterprise-wide workshops and architecture review boards will be part of your role. To qualify for this position, you should have a Bachelors or Masters degree in Computer Science, Engineering, or a related field. You should possess 14+ years of experience in enterprise architecture, with at least 3 years in AI/ML domains. Proven experience with cloud platforms such as AWS, Azure, GCP, microservices, and API management is required. Strong knowledge of AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps practices is essential. Familiarity with data architecture, data lakes, and real-time analytics platforms is also expected. Excellent communication, leadership, and stakeholder management skills are necessary for this role. Mandatory skills for this position include experience in designing GenAI and RAG architectures, familiarity with AWS, Vector DB - Milvus (preferred), OpenAI or Claude, LangChain, and LlamaIndex. Thank you for considering this opportunity. Siva,

The job is for an AI and Machine Learning Developer position located in Coimbatore. As an AI and Machine Learning Developer, your primary responsibilities will include designing, developing, and implementing machine learning algorithms and AI solutions. Collaboration with data scientists, data collection, analysis, training and evaluation of machine learning models, and optimizing solutions for performance and scalability are key aspects of this role. It is important to stay updated with the latest advancements in AI and machine learning and incorporate new techniques into ongoing projects. To be eligible for this role, you should have at least 4 years of experience as an AI and Machine Learning Developer, strong programming skills in Python (knowledge of JavaScript or other languages is a plus), a solid understanding of machine learning fundamentals and data pipelines, and practical experience with APIs from platforms such as OpenAI, Google Cloud, or Azure. You should be able to work effectively both independently and as part of a team in a dynamic work environment. Additional skills that would be advantageous for this role include working with LLMs (Large Language Models) and exposure to prompt engineering or generative AI.,

Are you a curious mind eager to build real-world AI solutions At Cygnus, we are on the lookout for smart interns ready to innovate with GenAI. You will have the opportunity to work directly with our CTO and product teams to prototype, fine-tune models, and solve practical business challenges using the latest AI tools. This is a paid internship with a path to full-time employment. As a selected intern, your day-to-day responsibilities will include building and deploying AI/ML models for internal tools and client-facing solutions. You will also get to explore and experiment with LLMs such as OpenAI, Ollama, Cohere, etc. Additionally, you will be automating workflows using Python, LangChain, n8n, or similar platforms. Your role will involve researching new GenAI techniques and applying them to our product stack. Collaboration with Sales, Ops, and Supply teams to ship rapid MVPs will also be a key part of your responsibilities. If you are passionate about AI and excited to shape the future of travel, we would love to hear from you. Let's build something amazing together. Good luck! :) About Company: Cygnus is a Pune-based AI-driven Corporate Travel Management Company that is revolutionizing how businesses manage travel. We exclusively work with corporates, offering a comprehensive one-stop solution for all their travel needs - from flights and hotels to visa, MICE, and cab bookings. Our mission is to replace outdated travel processes with a streamlined, tech-savvy approach that solves real-world challenges faced by travel managers. Backed by strong industry connectivity, a skilled professional team, and a commitment to continuous improvement, Cygnus is redefining corporate travel with innovation and efficiency at its core.,

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will also participate in testing and debugging processes to deliver high-quality applications that meet user expectations and business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Strong understanding of application development frameworks and methodologies. - Experience with database management and SQL. - Familiarity with version control systems such as Git. - Knowledge of software testing and debugging techniques. Roles & Responsibilities: - Strong hands-on experience with Python 4+, writing clean, modular, and testable code, and building asynchronous APIs using FastAPI, leveraging async/await, Starlette, and Pydantic for validation. Skilled in handling large datasets using pagination, streaming responses, and batching techniques, with lazy loading, and session management using SQLAlchemy for efficient PostgreSQL interaction. Proficient in background task processing using FastAPI's Background Tasks , and implementing unit/integration tests with pytest, httpx, and pytest-asyncio to ensure backend reliability and performance. Experienced in prompt engineering for OpenAI/GPT APIs, including crafting closed-ended and open-ended prompts, understanding context window limits (16k/32k), prompt truncation, rate-limiting, token usage tracking, and sending chunked JSON payloads for model consumption. Working knowledge of Dockerizing FastAPI apps, deploying with multi-stage builds, integrating CI/CD pipelines using GitHub Actions., 15 years full time education

AI DEVELOPER LLM SPECIALIST Full-time Company Description RMgX is a Gurgaon based digital product innovation & consulting firm. Here at RMgX, we design and build elegant, data-driven digital solutions for complex business problems. At the core of solutions crafted by us is a very strong user experience practice to deeply understand the goals and emotions of business and end-users. RMgX is driven by a passion for quality and we strongly believe in our people and their capabilities. For more details visit https://www.rmgx.in/ Duties And Responsibilities Design, develop, and deploy AI solutions using Large Language Models (LLMs) such as GPT, LLaMA, Claude, or Mistral. Fine-tune and customize pre-trained LLMs for business-specific use cases. Build and maintain NLP pipelines for classification, summarization, semantic search, etc. Build and maintain vector database pipelines using Milvus, Pinecone, etc. Collaborate with cross-functional teams to integrate LLM-based features into applications. Analyze and improve model performance using appropriate metrics. Stay up-to-date with AI/ML research and integrate new techniques as appropriate. WORK EXPERIENCE 12 years of experience in AI/ML development with specific focus on NLP and LLM-based applications. Skills, Abilities & Knowledge Strong hands-on experience in Python and AI/ML libraries (HuggingFace Transformers, LangChain, PyTorch, TensorFlow, etc.) Proficiency in working with closed-source models via APIs (e.g., OpenAI, Gemini) Understanding of prompt engineering, embeddings, and vector databases like FAISS, Milvus or Pinecone. Experience in deploying models using REST APIs, Docker, and cloud platforms (AWS/GCP/Azure) Familiarity with MLOps and version control tools (Git, MLflow, etc.) Knowledge of LLMOps platforms such as LangSmith, Weights & Biases is a plus Strong problem-solving skills, a keen eye for detail, and ability to work in an agile setup. Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Additional Information Perks And Benefits Flexible working hours Saturday and Sundays are fixed off Health Insurance and Personal Accident Insurance BYOD (Bring Your Own Device) Benefit Laptop Buyback Scheme

Key Responsibilities Strategic Leadership: Define and articulate the AI/ML vision and strategy for the company, ensuring alignment with overall business goals. Identify new opportunities to leverage AI/ML to drive innovation, efficiency, and revenue growth. Team Management & Mentorship: Lead, mentor, and grow a high-performing team of data scientists and machine learning engineers. Foster a culture of collaboration, innovation, and continuous learning. Provide technical guidance and career development support to team members. End-to-End Project Ownership: Oversee the entire lifecycle of AI/ML projects, from ideation and requirements gathering to model development, deployment, and monitoring. Ensure projects are delivered on time, within budget, and to the highest quality standards. Technical Architecture & Development: Provide hands-on technical leadership in the design and architecture of scalable and production-ready AI/ML solutions. Stay current with the latest advancements in the field and guide the team in adopting best practices for model development, MLOps, and data governance. Cross-Functional Collaboration: Work closely with product managers, software engineers, and business stakeholders to identify and prioritize AI/ML use cases. Effectively communicate complex technical concepts and project outcomes to both technical and non-technical audiences. Model Governance & Ethics: Establish and enforce standards for model validation, performance monitoring, and ethical AI. Ensure our models are fair, transparent, and compliant with relevant regulations. Required Skills & Qualifications Educational Background: Degree in Computer Science or Maths, Artificial Intelligence, Statistics, or a related quantitative field. Professional Experience: A minimum of 10 years of professional experience in data science and machine learning, with at least 3-4 years in a leadership or management capacity. Proven Expertise: Demonstrated experience in developing and deploying a wide range of machine learning models, including but not limited to deep learning (CNNs, RNNs, Transformers), natural language processing (NLP), computer vision, and reinforcement learning. Technical Proficiency: Expert-level programming skills in Python. Extensive experience with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Strong experience with cloud platforms (AWS, Azure, or GCP) and their respective ML services (e.g., SageMaker, Azure ML, Vertex AI). Solid understanding of MLOps principles and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes). Proficiency in data manipulation and analysis using SQL and libraries like Pandas and NumPy. Leadership Acumen: Proven ability to lead and inspire technical teams. Excellent project management, communication, and interpersonal skills. Preferred A portfolio of patents or publications in reputable AI/ML journals or conferences. Experience working in a fast-paced, agile environment. Familiarity with big data technologies like Apache Spark or Hadoop. Experience with building and scaling AI solutions for [mention your specific industry, e.g., FinTech, Healthcare, E-commerce].

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure OpenAI Service Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Lead, you will be responsible for leading the effort to design, build, and configure applications using Azure AI Services, Microsoft Azure OpenAI Service and Azure PaaS components. Your typical day will involve collaborating with cross-functional teams, managing project timelines, and ensuring the successful delivery of high-quality applications. Roles & Responsibilities: - Lead the design, development, and deployment of applications using Microsoft Azure OpenAI Service, Azure AI Search (Cognitive Search), Azure Language Services (CLU), Microsoft Bot Framework/ Microsoft Power Virtual Agents (Microsoft Copilot Studio) and Azure PaaS. - Act as the primary point of contact for the project, collaborating with cross-functional teams to ensure project timelines are met. - Ensure the successful delivery of high-quality applications, adhering to best practices and industry standards. - Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and growth. - Stay updated with the latest advancements in Microsoft Azure OpenAI Service, Azure AI Search (Cognitive Search) and Azure Language Services (CLU) integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Strong experience with Microsoft Azure OpenAI Service, Azure AI Search (Cognitive Search), Azure Language Services (CLU) and Azure PaaS including API Management, Key Vault and Application Insights. - Must To Have Skills: At least 1+ year hands on experience in Azure based LLMs with knowledge in embeddings/vectorization and semantic/vector based indexing and search. Strong experience in LLM frameworks such as Langchain and Semantic Kernel. -Must to Have Skills: Experience with conversational AI with Microsoft Bot Framework or Power Virtual Agents (Microsoft Copilot Studio). Should have experience in integrating chatbot solutions with multiple channels. - Must To Have Skills: Strong understanding of software development best practices including Agile methodologies and industry standards with special focus on API, function app and logic app building. Experience with Python programming language, using Visual Studio Code IDE and Azure AI Studio. - Good To Have Skills: Knowledge of other vector databases, Knowledge Graphs and other programming languages such as C#. Experience with different LLMs such as Llama, Mistral etc. - Good To Have Skills: Experience with deployment of applications and containerization technologies such as Docker or Kubernetes. Good To Have Skills: Experience with all Azure AI services like Video Indexer, Computer Vision, Custom Vision, Document Intelligence. - Experience with database technologies such as SQL Server and Cosmos DB. - Solid grasp of software testing and quality assurance principles. - Knowledge of DevOps practices. Additional Information: - The candidate should have a minimum of years of experience in software development. - The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions. - This position is based at our Bengaluru office.