139 Autogen Jobs

Job Title: AI/ML Engineer Experience: 4 To 8 Years Location: Bangalore Key Responsibilities Design, build, and optimize AI/ML solutions for enterprise applications. Develop Generative AI applications with workflows such as RAG Build and deploy AI agents using frameworks like LangGraph, Crew, or PydanticAI . Implement LLM integration and optimize Prompt Engineering workflows (Eg ., GPT, Claude, LLaMA). Collaborate with cross-functional teams to integrate AI solutions into production systems. Utilize Databricks, REST APIs, WebSockets, and event-driven architectures for scalable deployments. Ensure adherence to SDLC best practices, CI/CD pipelines (Jenkins), and Git-based workflows. Leverage AI-augmented development tools for rapid prototyping. Knowledge of enterprise security, compliance, and governance in AI systems. Familiarity with model lifecycle and code management best practices . Required Skills 35 years of experience in Machine Learning/Artificial Intelligent. Experience in Generative AI application development. Strong proficiency in Python and modern software development practices. Hands-on experience with LLMs and prompt engineering . Experience in cloud-native deployment strategies . Strong understanding of agile methodologies and collaborative development . Exposure to MLOps/LLMOps workflows and model monitoring .

As a Senior GenAI / Agentic AI Specialist with 6-8 years of overall experience in AI/ML, including at least 2 years of hands-on expertise in Generative AI and agentic AI systems, your role will involve working with advanced AI models, designing agent workflows, and integrating AI systems into enterprise environments with a focus on scalability, security, and responsible AI practices. Key Responsibilities: - Work with Generative AI technologies including LLMs, diAusion models, and enterprise applications. - Develop and optimize agentic workflows, including multi-agent collaboration and orchestration. - Design and implement Generative AI solutions tailored for enterprise use cases. - Integrate AI agents with APIs, databases, and cloud services. - Apply prompt engineering, context management, and memory handling in agent systems. - Ensure Responsible AI practices are implemented and adhered to. - Deploy AI agents into production environments. - Optimize scalability and performance of AI systems. - Implement robust security practices including IAM, AD, ADLDS, roles, and service accounts. Required Skills & Qualifications: - 6-8 years of overall experience in AI/ML, with at least 2 years in Generative and Agentic AI. - Expertise in generative AI models and prompt engineering techniques. - Proficiency in Python/Java-based AI libraries for developing GenAI applications. - Hands-on experience with agentic AI systems including autonomous agents, multi-step reasoning, and tool orchestration. - Experience with frameworks such as LangGraph, LangChain, AutoGen, CrewAI, and Google ADK. - Practical exposure to MCP server implementation and agent-to-agent communication. - Experience designing and implementing retrieval-augmented generation (RAG) pipelines. - Experience building chatbots for platforms like Microsoft Teams or Slack. - Strong understanding and hands-on experience with vector databases. - Knowledge of context engineering. - Experience with reinforcement learning and fine-tuning LLMs. - Proven experience in building and deploying conversational chat applications. - Proficiency in containerization and orchestration using Kubernetes. - Experience working with SQL and NoSQL databases.,

Company: Technodysis Pvt Ltd Location: Bangalore Experience: 6 - 8 Years Notice Period: Immediate Joiners Preferred Job Description: We are seeking a Technical Lead AI Development to lead AI solution design and implementation. This role requires technical leadership in architecting LLM-based AI workflows and mentoring developers. Key Responsibilities: Lead a team/module in building AI-driven applications Architect solutions using LLMs and agentic frameworks Provide guidance on AI model design, prompt engineering, and fine-tuning Integrate APIs, tools, and external systems with AI agents Ensure high-quality coding standards, version control, and CI/CD practices Collaborate with cross-functional teams for solution delivery Mentor developers and promote innovation in AI/ML practices Required Skills & Qualifications: Bachelors/Masters degree in Computer Science, AI, or related field 5 - 8 years in AI/ML development with 12 years in a lead role Strong programming expertise in Python, TensorFlow, PyTorch Proven experience with LLMs, prompt engineering, and fine-tuning Proficiency in frameworks like LangChain, AutoGen, CrewAI Knowledge of vector databases and knowledge graph-based systems Strong leadership, communication, and mentoring skills If interested for this role then please share your updated resume along with CTC Details to chanchal.kumar@technodysis.com

As a Transformation Lead at Capgemini Invent, you will play a key role in driving the organization's journey towards intelligent, scalable, and AI-augmented systems. Your responsibilities will include: - Designing and building secure, scalable applications using Azure services like App Services, Functions, and Azure DevOps. - Implementing GenAI solutions using frameworks such as LangChain, LangGraph, Autogen, crewAI, or OpenAI Agent SDK to orchestrate multi-step reasoning and agent workflows. - Delivering AI-powered solutions for production use cases such as intelligent document processing, automated content generation, enterprise search assistants, and decision-support systems, employing techniques like Retrieval-Augmented Generation (RAG), prompt engineering, and model fine-tuning. Qualifications required for this role include: - Education: Bachelors or Masters degree in Computer Science, Engineering, or a related field. - Strong experience in Azure cloud services and infrastructure. - Practical understanding of GenAI frameworks such as LangChain, LangGraph, Autogen, crewAI, OpenAI Agent SDK. - Proficiency in Python for AI/ML development. - Experience working with LLMs and GenAI techniques such as prompt engineering and RAG. - Background in building microservices and serverless solutions. Joining Capgemini Invent will provide you with the opportunity to work in a flexible environment that supports remote work and offers flexible work hours, enabling you to maintain a healthy work-life balance. Additionally, you will benefit from career growth programs, diverse professions, and valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner with a strong heritage of over 55 years. They are trusted by clients to unlock the value of technology by addressing a wide range of business needs. With a team of 340,000 members in more than 50 countries, Capgemini is committed to accelerating the dual transition to a digital and sustainable world, creating tangible impact for enterprises and society.,

Role Overview: As a Senior Consultant in TMT Business Consulting Finance at EY, you will have the opportunity to work with Technology, Media & Entertainment, and Telecommunications organizations to help them evolve, transform, and stay competitive in the industry. Your role will involve creating compelling employee and customer experiences, ensuring operational excellence, safeguarding data and reputation, and supporting M&A strategies. You will play a key part in shaping the future of the technology revolution and contributing to building a better working world for all. Key Responsibilities: - Develop end-to-end GenAI solutions using LLMs (OpenAI, Claude, Llama, Gemini, etc.) - Build and manage multi-agent orchestration using frameworks like AutoGen, CrewAI, Semantic Kernel - Design document chunking, embedding, and indexing pipelines using Pinecone, Weaviate, FAISS, pgvector - Optimize RAG pipelines for latency, relevance, and safety - Create reusable prompt templates for zero-shot, few-shot, and chain-of-thought applications - Fine-tune open-source models using LoRA, QLoRA, or supervised datasets when needed - Containerize AI workflows using Docker/Kubernetes and deploy on Azure/AWS/GCP - Set up CI/CD pipelines, logging, monitoring, and automated evaluation metrics (hallucination, toxicity) - Maintain clean code, modular utilities, internal documentation, and reusable accelerator components for the GenAI Factory Qualifications Required: - 3-5 years of practical experience in building GenAI or Agentic AI applications with measurable business outcomes - Strong Python skills (asyncio, FastAPI, LangChain, Pydantic), basic JavaScript/TypeScript for integration plugins - Experience with LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and Hugging Face ecosystem - Expertise in machine learning algorithms and deep learning techniques (e.g., BERT, GPT, LSTM, CNN, RNN) - Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field Additional Company Details: At EY, you will have the opportunity to work with over 200,000 clients globally and be part of a team of 300,000 professionals, including 33,000 individuals in India. EY is committed to investing in the skills and learning of its employees, offering personalized Career Journeys and access to career frameworks to enhance roles, skills, and opportunities. The organization is dedicated to being an inclusive employer, striving to achieve a balance between delivering excellent client service and supporting the career growth and well-being of its employees.,

On Spot Offer !! Share your update CV on kanishk.mittal@thehrsolutions.in deepak.sharma@thehrsolutions.in Job Title: Gen AI Developer Location: Delhi , Delhi NCR, Gurgaon, Banglore, Mumbai, Pune, Chennai, Coimbitore , Ghaziabad Employment Type: Full-time Experience: 6-14 Years (Flexible based on role level) About the Role We are seeking a highly skilled Gen AI Developer to design, develop, and deploy cutting-edge Generative AI solutions. The ideal candidate will have strong expertise in machine learning, large language models (LLMs), and prompt engineering, with the ability to build scalable applications that leverage AI to solve real-world business challenges. Key Responsibilities Design, build, and deploy Generative AI models (LLMs, diffusion models, transformers) for business applications. Develop end-to-end AI pipelines including data preprocessing, model training, fine-tuning, and deployment. Implement prompt engineering, RAG (Retrieval Augmented Generation), Agentic AI , Azure Congnitive and model optimization techniques to improve performance. Integrate AI models into production-ready applications via APIs and microservices. Collaborate with cross-functional teams (data scientists, ML engineers, product teams) to align AI solutions with business needs. Stay up to date with the latest advancements in Gen AI, NLP, computer vision, and multimodal models . Ensure solutions comply with security, scalability, and ethical AI standards . Required Skills & Qualifications Strong proficiency in Python and frameworks like TensorFlow, PyTorch, Hugging Face Transformers . Hands-on experience with Large Language Models (OpenAI GPT, LLaMA, Mistral, Claude, etc.) . Experience in fine-tuning, training, and deploying LLMs . Knowledge of vector databases (FAISS, Pinecone, Weaviate, ChromaDB) for RAG implementations. Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Strong background in data structures, algorithms, and software engineering principles . Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks is a plus. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Prior experience building Gen AI-powered applications (chatbots, copilots, content generators, recommendation systems). Understanding of MLOps, CI/CD pipelines , and model monitoring. Knowledge of multimodal AI (text, image, audio, video) is desirable. Contributions to open-source Gen AI projects are a strong plus. Education Bachelors/Masters degree in Computer Science, Data Science, AI/ML, or related field . Equivalent practical experience will also be considered.

About The Company BP Energy is a global leader in the energy sector, committed to delivering innovative and sustainable energy solutions. With a rich history of operational excellence and a focus on technological advancement, BP Energy is dedicated to transforming the future of energy through cutting-edge innovation, responsible practices, and a commitment to reducing carbon emissions. The company fosters a dynamic and inclusive work environment that encourages continuous learning and professional growth, aiming to create value for stakeholders while contributing positively to society and the environment. About The Role We are seeking a highly experienced and visionary Staff AI Engineer to join BP Energy&aposs AI Acceleration organization. This role is pivotal in designing, developing, and deploying scalable AI-powered applications that provide tangible business value. The ideal candidate will possess a deep understanding of modern AI tooling, infrastructure, and disciplined software engineering principles. You will lead initiatives that involve building foundational AI platforms, integrating advanced AI models, and automating workflows to enhance operational efficiency and innovation across the enterprise. In this role, you will collaborate closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate complex technical ideas into impactful solutions. You will also provide technical mentorship, influence architectural decisions, and champion best practices in responsible AI deployment. This position offers an exciting opportunity to shape the future of AI at BP Energy, working on high-impact projects that drive real-world results and sustainability initiatives. Qualifications Required: 12+ years of professional software engineering experience with a proven track record of designing and deploying sophisticated systems in production environments. Strong programming skills in Python (preferred), Java, or similar languages, with extensive experience in developing microservices, APIs, and backend architectures. Deep understanding of software architecture, cloud infrastructure (AWS, Azure, GCP), and modern DevOps practices. Hands-on experience integrating machine learning models into production systems, including LLMs via APIs, fine-tuning, retrieval-augmented generation, embeddings, and agent-based frameworks. Comprehensive knowledge of large language models, vector-based search, unstructured data processing, and related AI technologies. Proven ability to work efficiently without compromising code quality, test coverage, or operational standards. Exceptional problem-solving skills, with a bias for action and the ability to navigate ambiguity and complexity effectively. Experience in technical mentorship and influencing cross-team initiatives. Excellent communication skills, capable of translating complex technical concepts into clear business insights. Preferred Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems. Experience with GenAI frameworks like LlamaIndex, Crew AI, AutoGen, or similar agent orchestration tools. Background in building reusable ML components or contributing to internal ML platform development. Experience working in embedded or forward-deployed teams requiring rapid iteration and close collaboration with business units. Proficiency with Python and ML/data science libraries such as scikit-learn, pandas, NumPy, PyTorch, TensorFlow. Understanding of machine learning fundamentals, including supervised and unsupervised learning, model evaluation, and statistical inference. Experience working with unstructured data types like documents, conversations, or images and transforming them into structured formats. Previous experience building chatbots, search engines, or generative AI interfaces. Background in platform engineering or internal developer tools teams is advantageous. Responsibilities Design, develop, and maintain production-grade AI applications and services, adhering to modern software engineering practices such as CI/CD, testing, observability, and cloud-native design. Define and implement foundational AI platforms, including conversational bots, AI-powered search, unstructured data processing, and GenAI solutions, ensuring reusability and scalability enterprise-wide. Lead architectural decisions, establishing guidelines for software development lifecycle, explainability, and responsible AI practices. Drive cross-functional initiatives with business stakeholders to rapidly develop and deploy AI solutions addressing high-priority challenges. Evaluate and integrate existing AI tools, frameworks, and APIs, including LLMs, vector databases, retrieval-augmented generation, and other relevant technologies. Champion automation across workflowsfrom data ingestion and preprocessing to model deploymentdefining success metrics and operational procedures. Partner with data scientists, product managers, and engineers to ensure end-to-end delivery, performance, and reliability of AI products. Stay abreast of emerging AI technologies, prioritizing practical applications that deliver tangible value. Contribute to internal knowledge bases, tooling libraries, and documentation to promote best practices organization-wide. Mentor engineering teams and data scientists, providing technical leadership and raising standards for rigor and impact. Benefits BP Energy offers a comprehensive benefits package designed to support the well-being and professional growth of our employees. This includes competitive salary packages, health insurance, retirement plans, and paid time off. We promote a flexible work environment with hybrid working arrangements to support work-life balance. Employees have access to continuous learning opportunities, technical training, and development programs. Additionally, BP Energy fosters an inclusive culture that values diversity, innovation, and collaboration, providing a platform for employees to thrive and make meaningful contributions to the future of energy. Show more Show less

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of Sr AI Research Scientist: Research and Development: Conduct original research on generative AI models, focusing on model architecture, training methodologies, fine-tuning techniques, and evaluation strategies. Maintain a strong publication record in top-tier conferences and journals, showcasing contributions to the fields of Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML). Experience with POCs on emerging and latest innovation in AI. Multimodal Development: Design and experiment with multimodal generative models that integrate various data types, including text, images, and other modalities to enhance AI capabilities. Agentic AI Systems: Develop and design autonomous AI systems that exhibit agentic behavior, capable of making independent decisions and adapting to dynamic environments. Design and Implementation: Lead the design, development, and implementation of generative AI models and systems, ensuring a deep understanding of the domain. Select suitable models, train them on large datasets, fine-tune hyperparameters, and optimize overall performance. Algorithm Optimization: Optimize generative AI algorithms to enhance their efficiency, scalability, and computational performance through techniques such as parallelization, distributed computing, and hardware acceleration, maximizing the capabilities of modern computing architectures. Data Preprocessing and Feature Engineering: Manage large datasets by performing data preprocessing and feature engineering to extract critical information for generative AI models. This includes tasks such as data cleaning, normalization, dimensionality reduction, and feature selection. Model Evaluation and Validation: Evaluate the performance of generative AI models using relevant metrics and validation techniques. Conduct experiments, analyze results, and iteratively refine models to meet desired performance benchmarks. Technical Leadership: Provide technical leadership and mentorship to junior team members, guiding their development in generative AI through work reviews, skill-building, and knowledge sharing. Ability to drive multiple teams and cross-collaborate to ensure the quality delivery. Documentation and Reporting: Document research findings, model architectures, methodologies, and experimental results thoroughly. Prepare technical reports, presentations, and whitepapers to effectively communicate insights and findings to stakeholders. Continuous Learning and Innovation: Stay abreast of the latest advancements in generative AI by reading research papers, attending conferences, and engaging with relevant communities. Foster a culture of learning and innovation within the team to drive continuous improvement. Mandatory technical & functional skills Machine learning frameworks - PyTorch or TensorFlow. Deep Learning algorithms - CNN, RNN, LSTM, Transformers LLMs ( BERT, GPT, etc.) and NLP algorithms. Design experience for fine Tuning of Open source LLMs from Huggingface, Meta- LLaMA 3.1, BLOOM, Mistral AI etc. GCP : Vertex AI or Azure : AI Foundry or AWS SageMaker Scientific understanding - PEFT - LORA, QLORA, etc. Exposure to GCP : Vertex AI or Azure : AI Foundry or AWS SageMaker In-depth conceptual understanding on emerging and latest innovation in AI. Stay current with AI trends - MCP, A2A protocol, ACP, etc. Preferred Technical & Functional Skills Langgraph/CrewAI/Autogen Large scale deployment of GenAI/DL/ML projects, with good understanding of MLOps /LLM Ops Ensure scalability and efficiency, handle data tasks, Cloud computing experience- Azure/AWS/GCP BigQuery/Synapse Key behavioral attributes/requirements Ability to mentor Managers and Tech Leads Ability to own project deliverables, not just individual tasks Understand business objectives and functions to support data needs RESPONSIBILITIES Roles & responsibilities Here are some of the key responsibilities of Sr AI Research Scientist: Research and Development: Conduct original research on generative AI models, focusing on model architecture, training methodologies, fine-tuning techniques, and evaluation strategies. Maintain a strong publication record in top-tier conferences and journals, showcasing contributions to the fields of Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML). Experience with POCs on emerging and latest innovation in AI. Multimodal Development: Design and experiment with multimodal generative models that integrate various data types, including text, images, and other modalities to enhance AI capabilities. Agentic AI Systems: Develop and design autonomous AI systems that exhibit agentic behavior, capable of making independent decisions and adapting to dynamic environments. Design and Implementation: Lead the design, development, and implementation of generative AI models and systems, ensuring a deep understanding of the domain. Select suitable models, train them on large datasets, fine-tune hyperparameters, and optimize overall performance. Algorithm Optimization: Optimize generative AI algorithms to enhance their efficiency, scalability, and computational performance through techniques such as parallelization, distributed computing, and hardware acceleration, maximizing the capabilities of modern computing architectures. Data Preprocessing and Feature Engineering: Manage large datasets by performing data preprocessing and feature engineering to extract critical information for generative AI models. This includes tasks such as data cleaning, normalization, dimensionality reduction, and feature selection. Model Evaluation and Validation: Evaluate the performance of generative AI models using relevant metrics and validation techniques. Conduct experiments, analyze results, and iteratively refine models to meet desired performance benchmarks. Technical Leadership: Provide technical leadership and mentorship to junior team members, guiding their development in generative AI through work reviews, skill-building, and knowledge sharing. Ability to drive multiple teams and cross-collaborate to ensure the quality delivery. Documentation and Reporting: Document research findings, model architectures, methodologies, and experimental results thoroughly. Prepare technical reports, presentations, and whitepapers to effectively communicate insights and findings to stakeholders. Continuous Learning and Innovation: Stay abreast of the latest advancements in generative AI by reading research papers, attending conferences, and engaging with relevant communities. Foster a culture of learning and innovation within the team to drive continuous improvement. Mandatory technical & functional skills Machine learning frameworks - PyTorch or TensorFlow. Deep Learning algorithms - CNN, RNN, LSTM, Transformers LLMs ( BERT, GPT, etc.) and NLP algorithms. Design experience for fine Tuning of Open source LLMs from Huggingface, Meta- LLaMA 3.1, BLOOM, Mistral AI etc. GCP : Vertex AI or Azure : AI Foundry or AWS SageMaker Scientific understanding - PEFT - LORA, QLORA, etc. Exposure to GCP : Vertex AI or Azure : AI Foundry or AWS SageMaker In-depth conceptual understanding on emerging and latest innovation in AI. Stay current with AI trends - MCP, A2A protocol, ACP, etc. Preferred Technical & Functional Skills Langgraph/CrewAI/Autogen Large scale deployment of GenAI/DL/ML projects, with good understanding of MLOps /LLM Ops Ensure scalability and efficiency, handle data tasks, Cloud computing experience- Azure/AWS/GCP BigQuery/Synapse Key behavioral attributes/requirements Ability to mentor Managers and Tech Leads Ability to own project deliverables, not just individual tasks Understand business objectives and functions to support data needs QUALIFICATIONS This role is for you if you have the below Educational Qualifications Masters (MS by Research)/PhD or equivalent degree in Computer Science Preferences to research scholars from Tier 1 colleges- IITs, NITs, IISc, IIITs, ISIs, etc. Work Experience 12+ Years of experience with strong record of publications (at least 5) in top tier conferences and journals #KGS Show more Show less

Greetings from SDG!! We are looking for you to join our SDG family!! SDG is a global cybersecurity, identity governance, risk consulting, and advisory company that advises and partners with clients to address their complex security, compliance, and technology needs and delivers on strategy, transformation, and long-term management of their cybersecurity and IAM programs. We help some of the largest brands in the world realize their business vision through a mix of strategic advice, expert systems integration, relevant technology recommendations, and smart managed services. Our value proposition to our customers is that we bring thought leadership to the table in each of our domains, a passion for customer success, and an eye to risk management in everything we do. Looking for notice serving candidates or immediate available. Position: Technical Architect Experience: 6+yrs Location: Noida (Hybrid) / Remote What Impact will you make? As the AI Technical Architect, you will lead the organizations strategic vision for GenAI and Agentic AI solutions, driving innovation through advanced AI technologies. Your contribution will shape the development of AI-driven solutions that deliver high value to the business and its customers Work youll do Primary Responsibilities and Daily Tasks Integrate AI Agents with Enterprise Platforms: Develop and maintain secure integrations with IAM/ITSM tools like ServiceNow, SailPoint, Saviynt, Okta, and Ping. Engineer Agent Workflows and Prompt Strategies: Build multi-step agent workflows using contextual memory, prompt chaining, and tool-based reasoning. Optimize Production AI Systems: Tune latency, caching, and inference efficiency in real-world deployments, using tools like LangSmith. Lead Technical Initiatives and Evaluate Tools: Assess new GenAI tooling, mentor developers, enforce standards, and guide system scalability and fault tolerance. Short-term and Long-term Goals Short-term: Rollout and enhance tailored AI Solution implementations and integrations Long-term: Develop a scalable AI architecture for continuous improvement in AI methodologies Enough about us, lets talk about you We are looking for a hands-on leader with an deep knowledge of Gen AI, Agent Architecture and implementation, capable of defining AI solutions at an enterprise level. Requirements: Essential Skills and Qualifications Technical Expertise: Agentic AI Frameworks: Expertise in one or more solutions like LangGraph, AutoGen, CrewAI, and Python-based orchestration. Production Deployment: Experience in deploying AI agents with real-time inference, within containerized deployments. Tools & Infrastructure: Deep hands-on experience with LangGraph, embedding models, fallback handling, and human-in-loop validation. Security & Access Management: Strong understanding of JWT, OAuth, RBAC, and secure API communication. Performance Monitoring: Skills in using observability tools like LangSmith and implementing tuning mechanisms. LLMs, Vector Stores & Retrieval Frameworks: Proficiency with Chromadb, Weaviate, RAG pipelines, and memory modules.

Location: Hyderabad, India | Employment Type: Full-Time Experience Level: 4+Years Company: Covasant Contact Person: Ranjith Reddy 9703455109 | ranjith.palle@covasant.cm | linkedin.com/in/ranjith-r-75a766227 Build the Future of AI with Covasant At Covasant , we don't just work with AI we engineer the next era of it. We're hiring mid-level to senior developers and AI leads to help us build next-generation agentic AI systems that are intelligent, collaborative, and scalable. This is your chance to go beyond prompt engineering and shape the architecture of autonomous, multi-agent AI solutions using tools like LangGraph, AutoGen, CrewAI , and more. If youve got the skills and curiosity to work on what the AI world will be talking about next year , we want to hear from you. Your Role Design and develop multi-agent LLM systems using LangGraph, AutoGen, or CrewAI. Build and deploy MCP servers , LLM gateways , and design Agent-to-Agent collaboration flows. Fine-tune language models for verticals like healthcare, manufacturing, or finance. Architect retrieval-augmented generation (RAG) systems with vector stores like FAISS, Pinecone, or Weaviate. Integrate tools like LangSmith , GuardrailsAI , and knowledge graphs to ensure trust, safety, and observability. Collaborate cross-functionally with product, data science, and engineering teams. What You Bring 2+ years in software development, with strong Python skills. Proven expertise in one or more: LangGraph , AutoGen , CrewAI . Deep understanding of Agent-based AI , LLM orchestration , and RAG pipelines . Experience fine-tuning LLMs and applying prompt engineering and domain adaptation . Familiarity with tools like LangSmith , PromptGuard , or Guardrails frameworks. Bonus If You Have Cloud experience (AWS, Azure, GCP) Familiarity with Docker, Kubernetes Exposure to multi-modal models (LLaMA, Mistral, Falcon) Frontend tech: React, Angular, or Vue CI/CD, MLOps, or LLMOps knowledge Important Were currently hiring mid-level, senior, and lead professionals with hands-on experience in AI/ML projects . These openings are not for freshers or professionals with less than 2 years of experience but we are planning something exciting for early-career AI talent soon! Why Join Covasant Work on real-world agentic AI systems ahead of industry trends Collaborative and innovation-first work culture Competitive pay, benefits & performance incentives Hybrid/flexible work setup A chance to lead and influence the next chapter in AI Let’s Connect If this excites you — whether or not you're actively job hunting — don’t miss the chance to explore this game-changing opportunity. Ranjith Reddy – 9703455109 ranjith.palle@covasant.cm Connect with me on LinkedIn – I’d love to stay in touch, even if this isn’t the right time. Apply now or just start a conversation. The future of AI doesn’t wait — and neither should you.

As a Backend Engineer at our fast-growing startup, you will play a crucial role in building a robust and scalable data platform that supports key commerce functions such as marketing, pricing, and inventory management. Collaborating with various teams, you will be responsible for designing backend services, data pipelines, and APIs that can efficiently handle high-volume operations across multiple markets. Emphasizing clean architecture, system reliability, and integration with AI/ML components, you will contribute to use cases like dynamic pricing and demand forecasting. Your key outcomes will include: - Writing clean, efficient, and maintainable code using modern languages and frameworks like Python, Node.js, and Java, while demonstrating a strong understanding of data structures and algorithms. - Developing robust applications with high test coverage through consistent unit and integration testing practices. - Designing data structures that are scalable and adaptable to different geographies and evolving marketplace requirements. - Leveraging AI tools for coding, debugging, and prototyping to enhance daily development workflows. - Balancing priorities and delivering results across multiple initiatives in a fast-paced and collaborative environment. - Embracing new technologies, including agentic systems, ML platforms, and domain-specific tools, for ongoing skill development. Preferred qualifications for this role include: - Previous experience in building backend systems for commerce, retail, or logistics platforms. - Exposure to distributed systems or event-driven architectures such as Kafka or Pub/Sub. - Familiarity with cloud-native development on AWS or GCP, including the use of managed services. - Understanding of MLOps workflows or experience collaborating with data science teams. - Experience in designing APIs that cater to diverse frontend and third-party integrations. - Contributions to open-source projects, technical blogs, or internal tooling. - Knowledge of agentic frameworks like LangChain and AutoGen, or a keen interest in AI-driven automation. In addition to possessing skills in Kafka, machine learning, AWS or GCP, MLOps, agentic frameworks, LangChain, AutoGen, Pub/Sub, Python, Node.js, and Java, you will thrive in this role by demonstrating a proactive and collaborative approach in a dynamic work environment. Join us in revolutionizing decision-making processes across various business functions with cutting-edge technology and innovative solutions.,

The responsibilities for this role include conducting original research on generative AI models, focusing on model architectures, training methods, fine-tuning, and evaluation strategies. You will be responsible for building Proof of Concepts (POCs) with emerging AI innovations and assessing their feasibility for production. Additionally, you will design and experiment with multimodal generative models encompassing text, images, audio, and other modalities. Developing autonomous, agent-based AI systems capable of adaptive decision-making is a key aspect of the role. You will lead the design, training, fine-tuning, and deployment of generative AI systems on large datasets. Optimizing AI algorithms for efficiency, scalability, and computational performance using parallelization, distributed systems, and hardware acceleration will also be part of your responsibilities. Managing data preprocessing and feature engineering, including cleaning, normalization, dimensionality reduction, and feature selection, is essential. You will evaluate and validate models using industry-standard benchmarks, iterating to achieve target KPIs. Providing technical leadership and mentorship to junior researchers and engineers is crucial. Documenting research findings, model architectures, and experimental outcomes in technical reports and publications is also required. It is important to stay updated with the latest advancements in NLP, DL, and generative AI to foster a culture of innovation within the team. The mandatory technical and functional skills for this role include strong expertise in PyTorch or TensorFlow. Proficiency in deep learning architectures such as CNN, RNN, LSTM, Transformers, and LLMs (BERT, GPT, etc.) is necessary. Experience in fine-tuning open-source LLMs (Hugging Face, LLaMA 3.1, BLOOM, Mistral AI, etc.) is required. Hands-on knowledge of PEFT techniques (LoRA, QLoRA, etc.) is expected. Familiarity with emerging AI frameworks and protocols (MCP, A2A, ACP, etc.) is a plus. Deployment experience with cloud AI platforms like GCP Vertex AI, Azure AI Foundry, or AWS SageMaker is essential. A proven track record in building POCs for cutting-edge AI use cases is also important. In terms of the desired candidate profile, experience with LangGraph, CrewAI, or Autogen for agent-based AI is preferred. Large-scale deployment of GenAI/ML projects with MLOps/LLMOps best practices is desirable. Experience in handling scalable data pipelines (BigQuery, Synapse, etc.) is a plus. A strong understanding of cloud computing architectures (Azure, AWS, GCP) is beneficial. Key behavioral attributes for this role include a strong ownership mindset, being able to lead end-to-end project deliverables, not just tasks. The ability to align AI solutions with business objectives and data requirements is crucial. Excellent communication and collaboration skills for cross-functional projects are also important.,

Job Title: Senior Data Scientist / Senior Gen AI Developer Location: PAN India Years of Experience: 4-10 years (Experience: 4- 10 years with at least 3-5 project lifecycle experience in data science.) with Bachelor/Master in Statistics/Economics, BE/BTech/MTech with above experience . Position Overview: This role requires a strong expertise in AI/ML with a focus on Generative AI, combined with business acumen to drive client transformation. In this role, you will be responsible for the design, development, and optimization of AI/ML & generative AI models, with a focus on leveraging Python for algorithm development, model implementation, and deployment. Key Responsibilities: Solution Development: Design and implement AI & Gen AI powered solutions using LLMs (eg. Open AI, Claude, Gemini, Llama3). Fine-tune AI/generative AI models using Python and machine learning libraries. Leverage Agentic AI frameworks such as CrewAI, AutoGen, and orchestrate interactions across vector DBs, RAG pipelines & APIs. Should have experience in developing different ML models for Regression / Classification, Clustering, and Time Series forecasting models as well. Data Processing: Manage and preprocess large datasets for training AI/ML models, ensuring clean, efficient data pipelines for optimal performance. Model Evaluation: Evaluate and iterate on model performance, applying techniques to improve accuracy, robustness, and efficiency. Collaboration: Work closely with other developers, data scientists, and product managers to define AI requirements, integrate models into products, and ensure the AI system meets business needs .Optimization: Optimize model performance for production environments, focusing on scalability and computational efficiency. Thought leadership: Stay updated with the latest trends in generative AI, contributing innovative ideas and applying cutting-edge research to development effo rts. Required skills & experience: Experience: 5+ years of professional experience with a focus on machine learning, deep learning, and 2+ years in generative AI applications. Python Expertise: Advanced proficiency in Python, with solid experience using machine learning and deep learning libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn, Pandas. Generative AI experience: Hands-on experience with tools/platforms like Open AI, LangChain, Hugging Face, Vertex AI, AWS Bedrock etc. and frameworks such as LangGraph, CrewAI, Autogen Data Handling: Experience working with large datasets, including preprocessing, cleaning, and augmenting data for AI model training. Model Deployment: Knowledge of deploying machine learning models into production environments, including familiarity with cloud services (AWS, GCP, Azure) and containerization tools (e.g., Docker). ML Algorithms & Statistics: Strong understanding of machine learning algorithms, statistics, and optimization techniques used in AI. Version Control: Proficiency in using version control systems such as Git for managing codebase and collaboration. Problem Solving: Strong analytical skills with the ability to tackle complex problems and devise efficient solutions in a fast-paced environment. Communication: Ability to clearly communicate technical concepts to both technical and non-technical stakeholders. Project experience in Python, PySpark ,SQL Familiarity with model interpretability and debugging tools. Familiarity with reinforcement learning and its applications to generative models. Experience working in Agile/Scrum environments. Experience with data visualisation tools, such as D3.js, GGplot, etc. Experience in other Visualization tools like Power BI, Tableau, Qlikview shall be added advantage. Show more Show less

Vinove Software & Services Ltd. (CMMi 3 & A Great Place To Work), We have urgent requirements for Multiple Skills - JS Developer (MEAN / MERN), Data Scientist (Gen Ai & Agentic Ai), .NET Developer, QA - Automation (Cypress, Playwright) and more and you can find the detailed job description and company information enclosed below for your reference. NOTE : #1. It will be WORK FROM OFFICE with EST TIME ZONE (4:00 PM (IST) to 1:00 AM (IST). #2. Transportation will be provided : DROP Only. #3. Need early joiners only (0 to 10 days notice) Vinove Software & Services (P) Ltd. 11th Floor, Max Square, Noida-Greater Noida Expressway, Sector 129, Noida, Uttar Pradesh 201304 Requirement #1. FullStack Developer (MEAN / MERN) with knowledge in VueJS Experience : 7 to 12 Years Number of vacancies : 05 Frontend: React/Angular/Vue, HTML5, CSS3, JavaScript/TypeScript Backend: Node.js, Java, Python, .NET Core basics Database: SQL + NoSQL (PostgreSQL, MongoDB, etc.) API development & integration (REST, GraphQL) Requirement #2. AI /ML & Agent Engineer (ML Engineers, Applied Scientists, and Prompt Engineers) Experience : 4 to 10 Years Number of vacancies : 03 LLM fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation) Multi-agent orchestration frameworks (LangChain, AutoGen, CrewAI, Haystack) Knowledge graph construction & reasoning Model evaluation (hallucination, alignment, safety) Requirement #3. .NET Developer - Backend / API Experience : 7 to 12 Years Number of vacancies : 05 .NET Core / .NET 6+ Web API development, Microservices Entity Framework, LINQ, SQL Server Authentication & Authorization (OAuth2, JWT, Azure AD) Requirement #3. DevOps Admin Experience : 7 to 12 Years Number of vacancies : 03 CI/CD pipeline (Jenkins, GitHub Actions, Azure DevOps) Containerization & Orchestration (Docker, Kubernetes, Helm) Cloud Infra (AWS/GCP/Azure) Monitoring & Logging (Prometheus, Grafana, ELK, CloudWatch) Requirement #4. DevOps Admin Experience : 7 to 12 Years Number of vacancies : 03 CI/CD pipeline (Jenkins, GitHub Actions, Azure DevOps) Containerization & Orchestration (Docker, Kubernetes, Helm) Cloud Infra (AWS/GCP/Azure) Monitoring & Logging (Prometheus, Grafana, ELK, CloudWatch) Requirement #5. QA - Automation Experience : 5 to 12 Years Number of vacancies : 04 Manual & automation test design Test management tools (Jira, TestRail) Coordination with dev + business teams Test automation frameworks (Selenium, Cypress, Playwright) API testing (Postman, RestAssured) Performance/load testing (JMeter, Locust) Regression & CI/CD test integration Interested candidate can apply with their recent PP size photograph & updated resume. Applying for requirement number: Candidate Name: Total Exp in : Current Organization: Current Location: Current CTC / In Hand: Expected CTC / In Hand: Notice Period to join: About the Company :- www.vinove.com Vinove Software & Services is an ISO 9001:2008 and NASSCOM Certified IT Co. with 20+ years of experience in the Web & mobile industry. Being a specialized firm for providing web services and solutions, we have mastered in dealing with both, National & International Clients. Vinove serves as an umbrella for its top notch ocular products and services because of its extensive background of using focused and proven strategies with technologies for all business requirements. Vinove is uniquely a strong combination of knowledge and experience. Its culture boasts of passionate, innovative and meticulous professionals. A Web and Mobile based IT Solution provider with offices in India, UK & USA. Our service portfolio includes fully customized web design and application development, Mobile Apps eBusiness Solutions. Please visit the following URLs to know about our business . http://www.vinove.com http://www.pixelcrayons.com http://www.valuecoders.com https://www.workstatus.io http://www.invoicera.com Achievements: CMMi : CMMI Level 3 Certified GPTW : Great Place To Work Winner : Deloitte Technology Fast 50 India Winner : Deloitte Technology Fast 500 Asia Pacific Winner : NASSCOM IT Emerge India 50 2011 Asia Red Hearing 100 Finalist eRetail Solution Provider India 2011 12 Magento Solution Silver Partner Proud DrupalCon Sponsors (Munich & Portland) Regards, Ajay Tandon Asst. Vice President Human Resources Vinove Software & Services (P) Ltd. | ValueCoders Services India Mob. +91.9953465075 | Skype - ajay.tandon@vinove.com Email. careers@vinove.com | ajay.tandon@vinove.com CMMi Level 3 || Great Place To Work || ISO 9001:2008 ** New York // London // Dubai // Gurgaon // Noida ** https://www.linkedin.com/in/ajay-tandon-%E2%99%9B-lion-%E2%99%9B-55b6859/

As a seasoned AI expert, you will collaborate with Product Managers, Engineers, and other stakeholders to deeply comprehend business requirements and transform them into actionable technical roadmaps. Your role will entail identifying and prioritizing AI use cases aligned with organizational objectives, devising a scalable implementation roadmap, and conducting ROI analysis for on-prem LLM deployments. You will be responsible for crafting sophisticated software designs that are underpinned by AI-powered experiences focusing on performance, scalability, security, reliability, and ease of maintenance. Utilizing modeling techniques such as UML and Domain-Driven Design, you will visualize intricate relationships between components to ensure seamless integrations. Your responsibilities will also include leading large-scale platform projects that deliver a myriad of services such as No-code workflow management, HRMS, Collaboration tools, Search engines, Document Management systems, and more for our employees. You will champion automated testing, continuous integration/delivery pipelines, MLOps, and agile methodologies across multiple teams. Additionally, you will spearhead efforts to integrate artificial intelligence capabilities with internal and external ecosystems to provide a seamless user experience. The ideal candidate for this role should possess a BTech/MTech/PhD in Computer Sciences with specialization in AI/ML, along with a proven track record of leading large-scale digital transformation projects. A minimum of 3+ years of hands-on experience in building AI-based applications using the latest Agentic frameworks is essential. As an accomplished leader with 12-14 years of experience in software design & development, you should be adept at designing and developing applications and workflows using the ACE framework. Hands-on experience in developing AI Agents based on various frameworks and fine-tuning LLMs for enterprise needs are crucial skills required for this role. Your expertise should extend to navigating through Natural Language Understanding, developing conversational experiences, and leveraging technologies like RAG and vector databases to enhance the effectiveness of AI models. Proficiency in Python programming and developing agents/tools in an AI Agentic framework is a must. You should have demonstrated experience in building data pipelines for structured and unstructured data, along with the ability to quickly adapt to evolving technology landscapes. Past experience with .NET Core ecosystem and front-end technologies like Angular/React/Javascript/Html/Css will be advantageous. In addition, you should be skilled in managing full-stack web applications built upon Graph/RESTful APIs/microservice-oriented architectures and have a strong grasp of telemetry capture, ingestion, and intelligence derivation on platforms. Your track record should showcase your ability to mentor peers effectively while maintaining attention to detail throughout the software development life cycle. Excellent verbal/written communication skills and exceptional presentation/public speaking talents are crucial for this role.,

REQUIRED CRITERIA • Bachelors degree in Computer Science, Engineering, Data Science, or equivalent practical experience. • 6+ years in product management, including 2+ years delivering ML- or AI-powered features. • Working knowledge of the ML lifecycle, with a strong emphasis on LLMs , prompt-engineering, and generative model evaluation techniques. • Proven ability to lead and influence engineers, designers, researchers, and GTM stakeholders in a matrix environment. • Exceptional written and verbal communication skills, comfortable translating between business and technical audiences. PREFERRED EXPERIENCE • Hands-on exposure to Generative AI and large-language-model architectures (e.g., RAG, finetuning, RLHF). • Experience designing or managing agentic AI / agent-builder frameworks (e.g., LangChain, AutoGen, CrewAI) to orchestrate multi-step analytical workflows. • Familiarity with AI governance frameworks and mitigating risks such as hallucination and bias in generative models. • Experience with retailers, CPGs, or other data-rich verticals. • Expertise in Agile/Scrum, product discovery frameworks, and design-thinking methodologies. KEY RESPONSIBILITIES • Build and maintain the product vision, strategy, and multi-quarter roadmap for our Generative AI oBerings, aligning with company OKRs and financial targets. • Deeply understand user problems through interviews, data analysis, and market research; translate insights into epics, user stories, and acceptance criteria for building sophisticated AI agents. • Partner with data scientists and ML engineers to select or train the right foundation models, balancing performance, safety, latency, and cost. • Define success both for users (adoption, retention, task success rate) and for models (hallucination rate, bias, guard-rail triggers). • Design the full evaluation pipeline for generative modelsoBline benchmarks, synthetic-data tests, red teaming, human-in-the-loop reviews, and online A/B deployments—and iterate based on learnings. • Instrument dashboards that track product KPIs and model-centric metrics in real-time; monitor for performance degradation and coordinate fine-tuning or rollback as needed. • Prioritize and manage the product backlog, ensuring clear scope for each sprint and release while removing impediments that block delivery. • Champion data governance, privacy, IP protection, and responsible-AI standards throughout the development process. • Drive go-to-market readiness: craft compelling demo narratives, create enablement materials, support documentation, and partner with sales on key deals. • Foster a culture of design thinking, rapid experimentation, and continuous improvement within a cross-functional, globally distributed team.

Job title - Senior AI/ML engineer Experience: 10+ Years Location: Remote (initially) Only candidates from Tamil Nadu will be considered Notice Period: Immediate to 30 Days About the Role We are seeking a highly experienced and visionary AI/ML Architect to lead the design and delivery of enterprise-grade AI solutions. This role demands deep expertise in software architecture, data platforms, and modern AI technologies, with a strong focus on GenAI, LLMs, and scalable data systems. You will work cross-functionally to drive innovation, performance, and measurable business impact. Core Competencies Required 1014 years in software architecture, with 56 years in AI/ML or data platform roles. 56 years in enterprise AI or large-scale data product management, with recent delivery experience. Strong grasp of classical ML, Transformers, embeddings, and GenAI architectures. Hands-on experience with LLMs (GPT, Claude), RAG pipelines, and agentic frameworks (CrewAI, AutoGen, LangChain). Expertise in data modeling, schema design, and managing batch/streaming ingestion pipelines. Ability to interpret and act on model performance metrics (accuracy, latency, drift, ROI). Proven experience balancing performance, governance, and scalability in cloud-native environments. Familiarity with vector databases (FAISS, Chroma), personalization engines, and real-time streaming platforms (Kafka, Flink). Experience with MLOps frameworks (MLflow, DVC) and observability tools (Prometheus, Grafana). Exposure to value realization frameworks and revenue impact analysis for AI products. Strong analytical mindset and ability to simplify complex AI concepts for business stakeholders. Effective cross-functional leadership and stakeholder management. Excellent communication, storytelling, and prioritization skills. Empathy for end users with a focus on trust, explainability, and adoption. Ability to balance technical trade-offs with business outcomes and drive measurable ROI. Nice-to-Have Tools & Technologies AI/ML: Transformers, LLMs (GPT, Claude, Gemma), Hugging Face, PyTorch, TensorFlow GenAI & Retrieval: RAG pipelines, prompt engineering, FAISS, Chroma, CrewAI, AutoGen, LangChain Storage & Modeling (any 2): PostgreSQL, MongoDB, Cassandra, S3, ADLS, Redshift, BigQuery Cloud Platforms: Azure OpenAI, AWS SageMaker Serving & Orchestration: KFServing, RedisAI, Kubernetes, Docker Explainability & Observability: WhyLabs, Prometheus, Grafana Analytics & ROI: PowerBI, Tableau Collaboration: Jira, Confluence, GitHub, CI/CD (Jenkins, GitLab CI) Company Description- Indsafri believes in the limitless potential of individuals to create and build anything imaginable. They leverage their deep industry experience and cutting-edge technology to help organizations transform for growth. They work with some of the best organizations around the world and have a global network of partners and talents. Indsafri believes that technology is at its best when it makes people smile. This is a place where with passion and intelligence, anything is possible. Interested candidates can reach out to Roohullah.Safiullah@indsafri.com / sowjanya.dommaraju@indsafri.com

812 years of experience inAI/ML or automation engineering. Strong hands-on experience with CrewAI or other LLM orchestration frameworks like LangChain, AutoGen, or Semantic Kernel. Proficiency in Python, including experience with async programming and API integration. Deep understanding of LLMs (OpenAI, Anthropic, Mistral, etc.) and prompt engineering. Design, develop and maintain Model Context Protocol (MCP) interfaces to support interoperability between simulation orAIcomponents. Familiarity with vector databases (e.g., Pinecone, FAISS, Chroma) and embeddings. Strong understanding of RAG concepts. Strong understanding of GIT MCP server implementation experience Experience building and deploying production-ready agent-based solutions. Strong problem-solving skills and ability to translate business requirements into technical implementations. Good to have knowledge of React.js/java script/CSS/HTML/node.js. Data base skills, Azure development and deployment experience, AWS development and deployment experience, Dynamo DB preferable

You should have a Bachelor's degree or equivalent in Computer Science, Engineering, or a related field. With at least 4+ years of total experience, including 2 years of hands-on experience in building and implementing AI solutions using tools such as ChatGPT, AI Agents, and Data Science methodologies. You must have proven expertise in fine-tuning small language models and experience collaborating with cross-functional teams to optimize workflows and improve outcomes using AI. Proficiency in AI agent frameworks like Autogen, Langflow, and OpenAI Swarm is required. You should also have a deep understanding of tools and features in Large Language Models (LLMs), strong knowledge of enterprise data architecture, familiarity with the AWS ecosystem, and demonstrated ability to lead and manage AI projects from concept to deployment, ensuring alignment with business objectives and stakeholder expectations. In addition, you should possess excellent communication and presentation skills to explain complex AI concepts to both technical and non-technical audiences. You must have proven ability to mentor and coach junior AI engineers and data scientists, as well as experience in conducting research, evaluating emerging AI trends, tools, and best practices to enhance products and services. This is a full-time, permanent position with benefits including health insurance, life insurance, provident fund, and the opportunity to work from home. The schedule is day shift, Monday to Friday. A total of 5 years of work experience is required for this role, and the work location is in person.,

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Applied AI ML Associate Sr at JPMorganChase within the Consumer and Community Bnaking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture. Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions. Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies. Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics. Promote software and model quality, integrity, and security across the organization. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments. Hands-on experience and expertise in software development frameworks and tools such as Java, Python and JavaScript. Deep understanding of distributed systems, cloud-native architectures, and modern machine learning technologies. Experience in cloud platforms such as AWS, GCP, or Azure. Knowledgeable in machine learning frameworks, ML Ops tools and practices. Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation). Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search). Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD). Hands-on experience with big data, pipeline, orchestration tools and real-time processing frameworks. Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences. Preferred qualifications, capabilities, and skills Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.

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 extensibility 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 extensibility 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, hands-on 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, frameworks and stacks such as Replit, Cursor, LangChain, n8n, LllamaIndex, AutoGen, CrewAI, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, GitHub Spark, Bolt, Lovable, Claude etc. is a must. This must be demonstrated using real examples of rapid solution prototyping - since this will be a key part of day-to-day deliverables in the role. We operate in a fast-paced environment with rapid exploration, iteration, and execution, as we develop the M365 Copilot extensibility platform. Your peers will be among the top professionals & the 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.

Company: Technodysis Pvt Ltd Location: Bangalore Experience: 6 - 8 Years Notice Period: Immediate Joiners Preferred Job Description: We are seeking a Module Lead AI Development to lead AI solution design and implementation. This role requires technical leadership in architecting LLM-based AI workflows and mentoring developers. Key Responsibilities: Lead a team/module in building AI-driven applications Architect solutions using LLMs and agentic frameworks Provide guidance on AI model design, prompt engineering, and fine-tuning Integrate APIs, tools, and external systems with AI agents Ensure high-quality coding standards, version control, and CI/CD practices Collaborate with cross-functional teams for solution delivery Mentor developers and promote innovation in AI/ML practices Required Skills & Qualifications: Bachelors/Masters degree in Computer Science, AI, or related field 68 years in AI/ML development with 1–2 years in a lead role Strong programming expertise in Python, TensorFlow, PyTorch Proven experience with LLMs, prompt engineering, and fine-tuning Proficiency in frameworks like LangChain, AutoGen, CrewAI Knowledge of vector databases and knowledge graph-based systems Strong leadership, communication, and mentoring skills If interested for this role then please share your updated resume along with CTC Details to chanchal.kumar@technodysis.com

Job Title: AI Developer Company: Technodysis Pvt Ltd Location: Bangalore Experience: 3 - 5 Years Notice Period: Immediate Joiners Preferred Job Description: We are looking for a passionate AI Developer to design and build intelligent AI agents, integrate LLMs, and leverage agentic AI frameworks to deliver next-gen AI solutions. Key Responsibilities: Design, build, and maintain AI agents with reasoning and planning capabilities Integrate and fine-tune LLMs (OpenAI, Google, open-source models) Implement frameworks like LangChain, AutoGen, CrewAI Develop and integrate APIs/tools for automation and data interaction Manage vector databases and knowledge graphs for contextual understanding Work closely with product, engineering, and data science teams Stay updated with AI/ML advancements and apply them in projects Required Skills & Qualifications: Bachelors degree in Computer Science, AI, or related field 35 years of experience in AI/ML development Strong Python skills; hands-on with TensorFlow, PyTorch, scikit-learn Experience with LLMs, prompt engineering, and fine-tuning Exposure to agentic frameworks (LangChain, AutoGen, CrewAI) Knowledge of vector DBs like Pinecone, Weaviate Familiarity with Git, CI/CD, and software best practices If interested for this role then please share your updated resume along with CTC Details to chanchal.kumar@technodysis.com

Job Title: AI Engineer Generative AI & Multi-Agent Systems Location : Pan India Mode : Hybrid (2 days/week WFO) Role Overview We are looking for a highly skilled Python Developer with hands-on experience in LLM-based systems and multi-agent orchestration using frameworks like AutoGen and LangChain . The ideal candidate will be responsible for designing, building, and fine-tuning intelligent agent workflows that interact via APIs and LLMs to solve complex enterprise problems. Key Responsibilities Architect and implement multi-agent systems using AutoGen, LangChain, or similar frameworks Design and develop scalable backend services using Python (FastAPI, Flask, Django) Integrate and fine-tune LLMs (OpenAI, Azure OpenAI) for enterprise use cases Build Retrieval-Augmented Generation (RAG) pipelines and prompt engineering strategies Collaborate with cross-functional teams to deploy GenAI solutions in production Ensure robust API integrations and agent communication protocols Mandatory Skills Advanced Python programming Experience with AutoGen or other multi-agent orchestration frameworks Hands-on with OpenAI API , Azure OpenAI , and LLM integration Strong understanding of prompt engineering , embeddings, and RAG Familiarity with cloud platforms (Azure preferred) Good to Have Experience with LangGraph, Hugging Face Transformers Knowledge of vector databases (FAISS, ChromaDB) Exposure to CI/CD pipelines and containerization (Docker, Jenkins)

Urgent Opening for one of the Service Based MNC - Saturday Virtual Interview ---On Spot Offer with one of the Well Renowned MNC !!!!! Interested Candidates Please Appy on priya.singhal@thehrsolutions.in / deepaksharma@thehrsolutions.in Exp Range- 6 to 12Years Locations- PAN India JD - GenAI Engineer/Developer Role Overview: We are seeking a skilled Gen AI / OpenAI Developer to join our dynamic team. The ideal candidate will have a robust understanding of AI and machine learning, with particular expertise in integrating OpenAI models with Microsoft's Power Platform (including Power Automate and Power Virtual Agents), Azure Cognitive Services, and agentic AI frameworks. This role also requires experience in Azure deployment of AI solutions and modern Autogen-based architectures for building intelligent multi-agent systems. Key Responsibilities: Design, develop, and optimize OpenAI-powered applications, including multi-agent frameworks, chatbots, and AI-based customer support systems. Leverage agentic technologies (e.g., Autogen framework) to implement AI agents capable of collaborating and completing complex tasks autonomously. Build and maintain backend services using Python support OpenAI integrations. Work with custom datasets, applying techniques such as chunking, embedding, and vector search for model fine-tuning and retrieval-augmented generation (RAG). Integrate Azure Cognitive Services (e.g., Text Analytics, Translator, Form Recognizer) to enhance functionality and intelligence of AI solutions. Ensure scalable and secure deployment of AI solutions on Azure, using services like Azure Functions, Azure App Service, and Azure Kubernetes Service (AKS). Regularly evaluate and fine-tune GPT models to ensure high performance and relevance. Collaborate with cross-functional teams, including product, design, and QA, to ensure seamless development and deployment pipelines. Stay up to date with advancements in OpenAI, Azure AI, and agent-based technologies, and proactively contribute innovative ideas. Required Skills and Experience: Bachelor's degree in Computer Science, Engineering, or related field. Proficient in Python or .NET for backend and AI integration development. Strong experience with OpenAI GPT models and their practical applications. Experience with agentic technologies (e.g., Autogen, LangGraph, CrewAI) for multi-agent systems. Familiarity with Microsoft Azure Cognitive Services and Azure AI Studio. Solid grasp of machine learning fundamentals, including training, fine-tuning, and evaluating language models. Practical knowledge of Natural Language Processing (NLP) techniques. Hands-on experience with CI/CD tools such as Google Cloud Build, Jenkins, GitHub Actions, or Azure DevOps. Ability to work collaboratively in an agile, team-oriented environment under tight deadlines. Excellent problem-solving, debugging, and analytical skills. Desirable Skills: Masters degree or higher in AI, ML, or a related technical field. Prior experience in chatbot development for customer service or enterprise use cases. Certification(s) in Microsoft Azure, OpenAI, or machine learning technologies. Experience deploying and managing OpenAI solutions in Azure environments. Familiarity with RAG architectures, Azure AI Search, and blob storage indexing. Knowledge of Copilot Studio, Power Platform AI builder, or Conversational AI tools.