139 Autogen Jobs - Page 2

Job Role -Gen AI/Agentic AI Engineers Location - Bangalore/Gurugram Level - Senior Associate Experience - 4-8 years Skills & Experience Strong background in Python , ML engineering and API development ( FastAPIs ) Knowledge of tokenization libraries and GenAI/NLP techniques (RAG, embeddings, transformers). Hands-on with GenAI frameworks (LangChain, LlamaIndex, DSPy) and Agentic AI orchestration (LangGraph, MCP, A2A, AutoGen, etc.). Expertise with vector databases, elastic search, unstructured data Experience with cloud AI/ML services (AWS, Azure, GCP). Key Responsibilities Design and implement GenAI applications (chatbots, copilots, knowledge assistants). Build and manage Agentic AI workflows using orchestration frameworks (LangGraph, Crew AI, MCP, A2A). Apply ML/AI techniques (supervised/unsupervised learning, optimization, embeddings, retrieval). Integrate AI with enterprise data, APIs, and cloud-native architecture. Ensure scalability, security, and cost-effectiveness of deployed solutions.

As an Agentic AI Developer/Consultant, you will be responsible for designing, building, and deploying LLM-powered autonomous agents that possess the capabilities of reasoning, tool utilization, and executing long-horizon goals. Your role will involve architecting multi-agent systems that collaborate effectively, integrating LLMs with external tools and APIs, implementing memory modules, and driving Proof of Concepts towards production-grade systems. Collaboration with AI Strategy and Platform teams is crucial to define reusable patterns, guardrails, and agent behaviors. Continuous research and development are expected to stay ahead of industry trends and anticipate upcoming advancements in the field of AI systems. To excel in this role, you should have a minimum of 8 years of experience in software engineering or AI system development, with at least 2 years focusing on LLMs, agents, or similar paradigms. Proficiency in Python and a deep understanding of agentic stacks such as LangChain, LangGraph, CrewAI, AutoGen, and Semantic Kernel are essential. Strong software design fundamentals, including asynchronous programming, microservices architecture, and cloud-native workflows, will be advantageous. The successful candidate will have the ability to transform user stories into well-architected reasoning systems that require minimal human intervention. Innovation and the ability to write new pages in the agentic AI playbook are highly valued. Delivering tangible value through scalable solutions that effectively address real-world problems is a key measure of success. In return, you can expect to work in a high-autonomy, high-accountability culture with early access to cutting-edge agentic systems in enterprise settings. Direct engagement with leadership, collaborative peers, and challenging problem-solving opportunities are provided. Competitive compensation, substantial growth prospects, and exposure to global projects are part of the package.,

As a Senior LLM Engineer, you will be responsible for designing, building, and optimizing intelligent agents powered by Large Language Models (LLMs). Your primary focus will be on working with cutting-edge AI applications, pre-training LLMs, fine-tuning open-source models, integrating multi-agent systems, and deploying scalable solutions in production environments. Your key responsibilities will include developing and fine-tuning LLM-based models and AI agents for automation, reasoning, and decision-making. You will also be tasked with building multi-agent systems that coordinate tasks efficiently, designing prompt engineering, retrieval-augmented generation (RAG), and memory architectures, as well as optimizing inference performance and reducing hallucinations in LLMs. Additionally, you will be expected to integrate LLMs with APIs, databases, and external tools for real-world applications, implement reinforcement learning with human feedback (RLHF) and continual learning strategies, and collaborate with research and engineering teams to enhance model capabilities. To qualify for this role, you should have at least 5+ years of experience in AI/ML, with a minimum of 2+ years specifically focused on LLMs or AI agents. You should possess strong experience in Python, LangChain, LlamaIndex, Autogen, Hugging Face, etc. Experience with open-source LLMs such as LLaMA, Mistral, Falcon, etc. is also required. Hands-on experience in LLM deployments with strong inference capabilities using robust frameworks like vLLM is essential, as is expertise in building multi-modal RAG systems. Knowledge of vector databases (FAISS, Chroma) for retrieval-based systems, experience with LLM fine-tuning, downscaling, prompt engineering, and model inference optimization are all important qualifications. Familiarity with multi-agent systems, cognitive architectures, or autonomous AI workflows, as well as expertise in cloud platforms (AWS, GCP, Azure) and scalable AI deployments, will be beneficial. Strong problem-solving and debugging skills are also highly valued for this role.,

Design and build smart automation workflows using n8n, Zapier, and Make.com. Integrate APIs and connect third-party apps to streamline business processes. Utilize LLMs (e.g., OpenAI, Cohere) for tasks like summarization, data extraction, and decision logic. Create RAG pipelines utilizing vector databases such as Pinecone, ChromaDB, or Weaviate. Develop and test autonomous agents using LangChain, AutoGen, or similar frameworks. Write clean, modular code in Python or JavaScript to support custom workflow logic. Prototype ideas quickly and deploy real features used in production environments. Document workflows thoroughly and collaborate with developers, consultants, and product teams. Key Skills: Final-year students in Computer Science, AI/ML, Data Science, Information Systems, or related fields, who are willing to work full time after the internship. Curiosity & Initiative are essential you enjoy experimenting with new tools/technologies and are unafraid to break things to learn. Possess Basic to Intermediate Coding Skills and are comfortable with writing Python or JavaScript/TypeScript. Able to read API docs and write modular code. Familiarity (or willingness to learn) with Workflow Platforms such as n8n, Zapier, Make.com, or similar; if you haven't used n8n yet, assistance will be provided for onboarding. Knowledge of APIs, including understanding of RESTful APIs, JSON, and authentication mechanisms. Interest in AI/LLMs familiarity with LLMs basics or eagerness to dive into prompt engineering, embeddings, and RAG concepts. Problem-Solving Mindset ability to break down complex tasks into smaller steps, map flows, and anticipate edge cases. Strong Communication & Documentation skills capable of explaining workflows, documenting steps, and writing clean README/instructions. A Team Player open to feedback, collaboration in agile/scrum-like setups, and assisting peers in troubleshooting.,

Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences foreach other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: The Agentic Automation Engineer will develop and implement intelligent automation solutions using agentic frameworks like LangGraph, AutoGen, and CrewAI, integrating generative AI and Retrieval-Augmented Generation (RAG) techniques. This role requires deep expertise in Python, generative AI, and both open-source and closed-source LLMs, along with proficiency in databases and modern automation tools. The ideal candidate will collaborate with cross-functional teams to deliver scalable, high-impact automation workflows that enhance business processes. Responsibilities: Design and develop agentic automation workflows using frameworks such as LangGraph, AutoGen, CrewAI, and other multi-agent systems (e.g., MCP, A2A) to automate complex business processes. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced contextual understanding and accurate response generation in automation tasks. Integrate open-source LLMs (e.g. LLaMA) and closed-source LLMs (e.g., OpenAI, Gemini, Vertex AI) to power agentic systems and generative AI applications. Develop robust Python-based solutions using libraries like LangChain, Transformers, Pandas, and PyTorch for automation and AI model development. Implement and manage CI/CD pipelines, Git workflows, and software development best practices to ensure seamless deployment of automation solutions. Work with structured and unstructured data, applying prompt engineering and fine-tuning techniques to enhance LLM performance for specific use cases. Query and manage databases (e.g., SQL, NoSQL) for data extraction, transformation, and integration into automation workflows. Collaborate with stakeholders to translate technical solutions into business value, delivering clear presentations and documentation. Stay updated on advancements in agentic automation, generative AI, and LLM technologies to drive innovation and maintain competitive edge. Ensure scalability, security, and performance of deployed automation solutions in production environments. Experience: o 4+ years of hands-on experience in AI/ML, generative AI, or automation development. o Proven expertise in agentic frameworks like LangGraph, AutoGen, CrewAI, and multi-agent systems. o Experience building and deploying RAG-based solutions for automation or knowledge-intensive applications. o Hands-on experience with open-source LLMs (Hugging Face) and closed-source LLMs (OpenAI, Gemini, Vertex AI). Technical Skills: o Advanced proficiency in Python and relevant libraries (LangChain, Transformers, Pandas, PyTorch, Scikit-learn). o Strong SQL skills for querying and managing databases (e.g., PostgreSQL, MongoDB). o Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions), Git workflows, and containerization (e.g., Docker, Kubernetes). o Experience with Linux (Ubuntu) and cloud platforms (AWS, Azure, Google Cloud) for deploying automation solutions. o Knowledge of automation tools (e.g., UiPath, Automation Anywhere) and workflow orchestration platforms. Soft Skills: o Exceptional communication skills to articulate technical concepts to non-technical stakeholders. o Strong problem-solving and analytical skills to address complex automation challenges. o Ability to work collaboratively in a fast-paced, client-facing environment. o Proactive mindset with a passion for adopting emerging technologies. Preferred Qualifications Experience with multi-agent coordination protocols (MCP) and agent-to-agent (A2A) communication systems. Familiarity with advanced generative AI techniques, such as prompt chaining, tool-augmented LLMs, and model distillation. Exposure to enterprise-grade automation platforms or intelligent process automation (IPA) solutions. Contributions to open-source AI/automation projects or publications in relevant domains. Certification in AI, cloud platforms, or automation technologies (e.g., AWS Certified AI Practitioner, RPA Developer). Mandatory skill sets: Agentic, LLM, RAG, AIML, LangGchain Preferred skill sets: Agentic, LLM, RAG, AIML, LangGchain, Gen AI Years of experience required: 4-7 Years Education qualification: B.Tech/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills APA Style, Large Language Model (LLM) Fine-Tuning, Python (Programming Language) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery, Configuration Management (CM), Continuous Process Improvement + 36 more Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date Show more Show less

Position Description Company Profile: - At CGI, were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Job Title: AI-ML Engineer Position: Software Engineer (SE) / Senior Software Engineer (SSE) Experience: 3 years to 5 Years Category: zINACTIVE - Information Technology Main location: Bangalore Position ID: J0725-0526 Employment Type: Full Time Job Description: - AI-ML Engineer We are seeking a high-impact AI/ML Software Engineer to join our AI engineering team. The ideal candidate brings deep expertise in modern agentic frameworks such as Google ADK, CrewAI, AutoGen, or LangGraph, and hands-on experience in developing Model Context Protocols (MCP). This role is ideal for individuals passionate about engineering through automation, scaling AI architecture, and contributing to the next generation of agent-based systems. You will work closely with our CICD platform tooling and global architecture teams to enhance and productize our agentic SDLC platform. Key Responsibilities: Design, develop, and maintain Kubernetes-based containerized microservices and CICD automation pipelines that support SDLC. Build modular agent workflows capable of reasoning, collaborating, and adapting dynamically to context and goals. Develop and manage multi-agent systems using frameworks like Google ADK, CrewAI, or AutoGen. Build and optimize MCP pipelines, including context injection, memory caching, semantic retrieval, and embedding-based context scoping. Develop CLIs and SDKs to support MCP testing and integration. Collaborate with cross-functional teams including product, data analytics, and infrastructure to evolve tooling for agent development, prompt evaluation, and telemetry analysis. Fine-tune foundation models (e.g., GPT, Claude, Falcon) for enhanced domain-specific performance. Required Qualifications: Bachelors degree in computer science, Engineering, Mathematics, or a related technical field. 25 years of software engineering experience, with at least 2 years focused on AI/ML or developer platform teams. Strong coding skills in Python and Golang, with a track record of writing clean, secure, and scalable code. Proven experience in MCP implementation, ensuring efficient, coherent, and context-aware data flow in multi-agent LLM systems. Experience with Kubernetes, service mesh technologies (e.g., Istio), and Infrastructure-as-Code (IaC). Familiarity with distributed task orchestration and real-time agent execution environments. Your future duties and responsibilities Required Qualifications To Be Successful In This Role Together, as owners, lets turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction. Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our teamone of the largest IT and business consulting services firms in the world. Show more Show less

Job Title: Senior Engineer Location: Bengaluru, India - (Hybrid) At Reltio, we believe data should fuel business success. Reltios AI-powered data unification and management capabilitiesencompassing entity resolution, multi-domain master data management (MDM), and data productstransform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud delivers interoperable data where and when it&aposs needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brandsacross multiple industries around the globerely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our Customer First, we strive to ensure their success. We embrace our differences and are Better Together as One Reltio. We are always looking to Simplify and Share our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We Own It. Every day, we innovate and evolve, so that today is Always Better Than Yesterday. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If youre ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, lets talk! About The Role We are seeking a Senior Backend Engineer with a strong foundation in Java , solid Python capabilities, and hands-on experience building or supporting Agentic AI applications that integrate with Large Language Models (LLMs) . This role blends traditional backend engineering expertise with next-generation AI integration, requiring not just system design skills, but also creativity in prompt engineering and working with data-rich environments. You will contribute to the design and implementation of intelligent backend services that coordinate LLMs, agents, and data workflows to support enterprise-grade automation and decision-making systems. Key Responsibilities Develop robust, scalable Java-based backend systems that enable the orchestration of Agentic AI workflows. Integrate LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) into backend pipelines to power autonomous or semi-autonomous decision-making. Work closely with AI/ML teams to design agent architectures and LLM toolchains (using frameworks like LangGraph, Crew AI, AutoGen, etc.). Implement services and APIs that manage prompt chaining, tool invocation, and contextual memory for agents. Collaborate with data engineers to ensure clean, efficient, and real-time access to structured and semi-structured data. Apply prompt engineering best practices to improve agent behavior, task accuracy, and adaptability. Monitor and optimize service performance, reliability, and scalability in production environments. Contribute to code reviews, mentoring, and best practices for hybrid backend/AI development. Required Qualifications 5+ years of experience in backend engineering, with strong proficiency in Java for scalable, distributed systems. Practical knowledge of Python, particularly for scripting, API consumption, or integration with AI frameworks. Exposure to Agentic AI systems using tools such as LangGraph, Crew AI, AutoGen, or similar. Experience integrating or orchestrating LLMs within business workflows or intelligent assistants. Solid understanding of prompt engineering techniques (e.g., system messages, chaining, tool invocation prompts). Familiarity with data engineering concepts, including pipelines, data models, and ETL workflows. Strong grasp of object-oriented design, data structures, and algorithms. Preferred Qualifications Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, RAG pipelines). Background in building microservices or backend systems for data-rich AI/ML platforms. Experience with vector databases, embedding services, or semantic search integration. Knowledge of cloud platforms (AWS, GCP, or Azure), containerization (Docker), and DevOps best practices. Prior involvement in developing LLM-powered agents, copilots, or task bots is a strong plus. What We Offer Opportunity to work on cutting-edge backend and AI systems, including agentic automation and LLM innovation. A flexible hybrid work model in our Bangalore office. Competitive compensation with performance-based rewards. A culture that promotes engineering excellence, experimentation, and growth. Access to learning platforms, technical workshops, and industry-leading AI research. Why Join Reltio* Health & Wellness: Comprehensive Group medical insurance including your parents with additional top-up options. Accidental Insurance Life insurance Free online unlimited doctor consultations An Employee Assistance Program (EAP) Work-Life Balance: 36 annual leaves, which includes Sick leaves 18, Earned Leaves - 18 26 weeks of maternity leave, 15 days of paternity leave Very unique to Reltio - 01 week of additional off as recharge week every year globally Support for home office setup: Home office setup allowance. Stay Connected, Work Flexibly: Mobile & Internet Reimbursement No need to pack a lunchweve got you covered with a free meal.And many more.. Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Show more Show less

We are seeking a skilled, motivated, and quick-learner Full Stack Developer to join our team working on cutting-edge Gen AI development work. The successful candidate will be responsible for developing innovative applications and solutions using including frontend and backend. While the solutions will often utilize Retrieval Augmented Generation (RAG), Agentic frameworks the role will not be limited to this, and will involve various AI technologies. Develop and maintain web applications using Angular, NDBX frameworks, and other modern technologies. Design and implement databases in Postgres DB, apply & implement ingestion and retrieval pipelines using pgvector, neo4j, ensuring efficient and secure data practices. Use different generative AI models & frameworks such as LangChain, Haystack, LlamIndex etc for chucking, embeddings, chat completions, integration with different data sources etc. Familiarity and experience with different agentic frameworks and technique like Langgraph, AutoGen, CrewAI, tool using techniques like MCP (Model Context Protocol). Use Azure & AWS cloud platforms in implementation to stay relevant to company AI guidelines requirements. Usage of OpenAPI standards, API first approach to develop APIs for communication between different software components. Collaborate with the team members to integrate various GenAI capabilities into the applications, including but not limited to RAG. Write clean, maintainable, and efficient code that adheres to company standards. Conduct testing to identify and fix bugs or vulnerabilities. Use collaboration and versioning tools such as GitHub for effective team working and code management. Stay updated with emerging technologies and apply them into operations and activities. Show a strong desire for continuous learning and the ability to quickly adapt and implement new technologies. Bachelor's degree in Computer Science, Information Technology, or a related field with 6+ years of working experience. Proven experience as a Full Stack Developer or similar role in designing, developing and deploying end to end applications. Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery). Experience with Angular and NDBX frameworks. Good experience with database technology such as Postgres DB, vector databases. Experience developing APIs following the OpenAPI standards. Understanding & experience in various generative AI models on cloud platforms such as Azure/ AWS, including Retrieval Augmented Generation, Prompt engineering, Agentic RAG, Agentic frameworks, Model context protocols etc. Experience with collaboration and versioning tools such as GitHub Experience with docker images, containers to package up an application with all the parts it needs, such as libraries and other dependencies, and ship it all out as one package. Functional Demonstrated responsiveness and accuracy Strong collaboration and teamwork skills Behaviours Take Ownership & Accountability Assertiveness & Persuasiveness Great attention to detail and problem-solving skills. Self-motivated with a keen interest in learning and implementing new technologies.

DR Automation Specialist Short department description: This role places a primary focus on designing and implementing automation solutions using Amelia, while leveraging your DR knowledge to ensure those workflows are operationally resilient, regulatory compliant, and recovery-ready. Youll be at the intersection of AI, infrastructure automation, and DR orchestration—bringing intelligence and efficiency to critical IT operations. Key Tasks: Design, develop, and maintain intelligent automation workflows using the Amelia AIOps platform, integrating conversational AI, cognitive agents, and adaptive process logic to streamline IT operations. Generative AI and agentic frameworks (e.g., Langchain, AutoGen, Semantic Kernel, LangGraph) to enable dynamic response and decision-making capabilities. Integrate Amelia automation with enterprise IT ecosystems, including ITSM tools (ServiceNow), observability platforms (Splunk, Dynatrace), cloud environments (AWS, Azure, GCP), and DevOps pipelines. Develop and maintain reusable automation components, APIs, and integrations (REST, GraphQL, Kafka) to ensure scalable and modular automation architectures. Utilize AI/ML models (built using frameworks like TensorFlow, PyTorch, Huggingface) to enhance anomaly detection, root cause analysis, and predictive automation within Amelia workflows. Build and manage infrastructure-as-code (IaC) and automation scripts using tools such as Ansible, Terraform, and scripting languages (Python, Bash, Java) to support orchestration and self-healing capabilities. Support the automation of Disaster Recovery (DR) workflows, ensuring failover/failback processes are effectively orchestrated and aligned with RTO/RPO requirements across infrastructure and application layers. Lead the onboarding of new applications and services to the DR resiliency automation platform, customizing automation paths to meet organizational recovery policies and compliance needs. Collaborate with DR, IT Ops, and Cloud teams to ensure all DR workflows are validated, tested, and audit-ready, with automation logs and dashboards built into the Amelia environment. Support incident and problem management processes of DRRO service Contribute to the evolution of automation and DR best practices, incorporating the latest advances in AIOps, Generative AI, and cloud-native tooling into operational standards. Qualification, education, work experience: Bachelor’s or Master’s degree in Computer Science, Business Information Systems, or related field, or equivalent practical experience

We are seeking a talented AI Engineer to join our team. The ideal candidate will have expertise in machine learning, NLP, deep learning, and deploying AI models, with experience in advanced tools and frameworks across AI and backend development. Responsibilities: Develop and deploy AI models using machine learning , deep learning (CNNs, RNNs, LSTMs), and NLP ( GPT , BERT ). Work with advanced AI frameworks ( Langchain , AutoGen , Streamlit ) and backend frameworks ( FastAPI , Flask ). Implement reinforcement learning and autonomous decision-making systems. Leverage cloud platforms ( AWS: Bedrock, Sagemaker ) for model deployment and scalability. Integrate third-party services ( OpenAI , Azure Foundry ) and tools ( RelevanceAI , Huggingface ). Work with databases ( MongoDB , Postgres , Redis ) and distributed systems. Utilize advanced AI techniques like RAG , fine-tuning , LoRA , QLoRA , multi-model systems , and stable diffusion . Explore AI applications in video generation models ( text-to-video , image-to-video ). Skills Needed: Expertise in AI frameworks : Langchain , AutoGen , Streamlit . Strong experience with FastAPI , Flask , and cloud platforms ( AWS , Bedrock , Sagemaker ). Knowledge of third-party services ( OpenAI , Azure Foundry ) and tools ( RelevanceAI , Huggingface ). Solid experience with databases ( MongoDB , Postgres , Redis ). Proficient in machine learning , deep learning , NLP , and reinforcement learning . Hands-on experience with advanced AI techniques: RAG , fine-tuning , LoRA , QLoRA , SLM , LLM , stable diffusion , and video generation models .

Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences foreach other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: The Agentic Automation Engineer will develop and implement intelligent automation solutions using agentic frameworks like LangGraph, AutoGen, and CrewAI, integrating generative AI and Retrieval-Augmented Generation (RAG) techniques. This role requires deep expertise in Python, generative AI, and both open-source and closed-source LLMs, along with proficiency in databases and modern automation tools. The ideal candidate will collaborate with cross-functional teams to deliver scalable, high-impact automation workflows that enhance business processes. Responsibilities: Design and develop agentic automation workflows using frameworks such as LangGraph, AutoGen, CrewAI, and other multi-agent systems (e.g., MCP, A2A) to automate complex business processes. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced contextual understanding and accurate response generation in automation tasks. Integrate open-source LLMs (e.g. LLaMA) and closed-source LLMs (e.g., OpenAI, Gemini, Vertex AI) to power agentic systems and generative AI applications. Develop robust Python-based solutions using libraries like LangChain, Transformers, Pandas, and PyTorch for automation and AI model development. Implement and manage CI/CD pipelines, Git workflows, and software development best practices to ensure seamless deployment of automation solutions. Work with structured and unstructured data, applying prompt engineering and fine-tuning techniques to enhance LLM performance for specific use cases. Query and manage databases (e.g., SQL, NoSQL) for data extraction, transformation, and integration into automation workflows. Collaborate with stakeholders to translate technical solutions into business value, delivering clear presentations and documentation. Stay updated on advancements in agentic automation, generative AI, and LLM technologies to drive innovation and maintain competitive edge. Ensure scalability, security, and performance of deployed automation solutions in production environments. Experience: o 4+ years of hands-on experience in AI/ML, generative AI, or automation development. o Proven expertise in agentic frameworks like LangGraph, AutoGen, CrewAI, and multi-agent systems. o Experience building and deploying RAG-based solutions for automation or knowledge-intensive applications. o Hands-on experience with open-source LLMs (Hugging Face) and closed-source LLMs (OpenAI, Gemini, Vertex AI). Technical Skills: o Advanced proficiency in Python and relevant libraries (LangChain, Transformers, Pandas, PyTorch, Scikit-learn). o Strong SQL skills for querying and managing databases (e.g., PostgreSQL, MongoDB). o Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions), Git workflows, and containerization (e.g., Docker, Kubernetes). o Experience with Linux (Ubuntu) and cloud platforms (AWS, Azure, Google Cloud) for deploying automation solutions. o Knowledge of automation tools (e.g., UiPath, Automation Anywhere) and workflow orchestration platforms. Soft Skills: o Exceptional communication skills to articulate technical concepts to non-technical stakeholders. o Strong problem-solving and analytical skills to address complex automation challenges. o Ability to work collaboratively in a fast-paced, client-facing environment. o Proactive mindset with a passion for adopting emerging technologies. Preferred Qualifications Experience with multi-agent coordination protocols (MCP) and agent-to-agent (A2A) communication systems. Familiarity with advanced generative AI techniques, such as prompt chaining, tool-augmented LLMs, and model distillation. Exposure to enterprise-grade automation platforms or intelligent process automation (IPA) solutions. Contributions to open-source AI/automation projects or publications in relevant domains. Certification in AI, cloud platforms, or automation technologies (e.g., AWS Certified AI Practitioner, RPA Developer). Mandatory skill sets: Agentic, LLM, RAG, AIML, LangGchain Preferred skill sets: Agentic, LLM, RAG, AIML, LangGchain, Gen AI Years of experience required: 4-7 Years Education qualification: B.Tech/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills APA Style, Large Language Model (LLM) Fine-Tuning, Python (Programming Language) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery, Configuration Management (CM), Continuous Process Improvement + 36 more Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date Show more Show less

You are a highly skilled Data Scientist with expertise in AI agents, generative AI, and knowledge engineering, tasked with enhancing AI-driven cloud governance solutions. Your main focus will be on advancing multi-agent systems, leveraging LLMs, and integrating knowledge graphs (OWL ontologies) in a Python environment. Working at the intersection of machine learning, AI-driven automation, and cloud governance, you will be responsible for designing intelligent agents that adapt dynamically to cloud ecosystems. Your contributions will play a crucial role in FinOps, SecOps, CloudOps, and DevOps by providing scalable, AI-enhanced decision-making, workflows, and monitoring. Your key responsibilities will include designing, developing, and optimizing LLM-based multi-agent systems for cloud governance, implementing agent collaboration using frameworks like LangChain, AutoGen, or open-source MAS architectures, and developing adaptive AI workflows to enhance governance, compliance, and cost optimization. You will also be applying generative AI techniques such as GPT-4, Google Gemini, and fine-tuned BERT models to knowledge representation and reasoning, designing and managing knowledge graphs, OWL ontologies, and SPARQL queries for intelligent decision-making, and enhancing AI agent knowledge retrieval using symbolic reasoning and semantic search. Additionally, you will be developing embedding-based search models for retrieving and classifying cloud governance documents, fine-tuning BERT, OpenAI embeddings, or custom transformer models for document classification and recommendation, and integrating discrete event simulation (DES) or digital twins for adaptive cloud governance modeling. In the realm of cloud governance and automation, your tasks will involve working with multi-cloud environments (AWS, Azure, GCP, OCI) to extract, analyze, and manage structured/unstructured cloud data, implementing AI-driven policy recommendations for FinOps, SecOps, and DevOps workflows, and collaborating with CloudOps engineers and domain experts to enhance AI-driven automation and monitoring. To qualify for this role, you need to have at least 4+ years of experience in Data Science, AI, or Knowledge Engineering, strong proficiency in Python and relevant ML/AI libraries (PyTorch, TensorFlow, scikit-learn), hands-on experience with knowledge graphs, OWL ontologies, RDF, and SPARQL, expertise in LLMs, NLP, and embedding-based retrieval, familiarity with multi-agent systems, LangChain, AutoGen, and experience working with cloud platforms (AWS, Azure, GCP) and AI-driven cloud governance. Preferred qualifications include experience with knowledge-driven AI applications in cloud governance, FinOps, or SecOps, understanding of semantic search, symbolic AI, or rule-based reasoning, familiarity with event-driven architectures, digital twins, or discrete event simulation (DES), and a background in MLOps, AI pipelines, and cloud-native ML deployments. In return, you will have the opportunity to work on cutting-edge AI agent ecosystems for cloud governance in a collaborative environment that brings together AI, knowledge engineering, and cloud automation. Competitive compensation, benefits, and flexible work arrangements (remote/hybrid) are also part of the package. If you thrive in a fast-paced environment, demonstrate intellectual curiosity, and have a passion for applying advanced AI techniques to solve real-world cybersecurity challenges, this role is for you.,

We are looking for an Full Stack AI & Agentic Developer to join our product team. This role is for someone who has worked with AI tools, LLMs (like ChatGPT, Claude), and agent frameworks (LangChain, CrewAI, AutoGen).If you love building smart AI systems and applications that can work on their own, integrate with APIs, and solve real problems is the right role for you. Responsibilities: Build and integrate AI-powered applications using LLMs and AI APIs (OpenAI, Claude, Hugging Face). Create and manage AI agents using tools like LangChain, CrewAI, and AutoGen. Use prompt engineering to improve AI results and user experience. Work with vector databases (Pinecone, FAISS, Chroma) for AI search and knowledge retrieval. Collaborate with developers, designers, and researchers to build smart solutions. Deploy applications using Docker, Kubernetes, Vercel, Railway, and Supabase . Ensure applications run smoothly, are scalable, and perform well. Required Skills: 45 years of experience in AI/ML or Full Stack Development with AI integration . Strong knowledge of Python, JavaScript, React.js, Next.js, Node.js, and TypeScript . Experience with AI APIs (OpenAI, Claude, Hugging Face). Hands-on with LangChain, AutoGen, CrewAI, and similar frameworks. Understanding of prompt engineering and AI search (vector databases) . Knowledge of PostgreSQL, Supabase, Railway, Vercel . Comfortable using AI coding assistants like GitHub Copilot, Cursor, Tabnine . Good problem-solving, teamwork, and communication skills. Tech Stack Youll Use: Frontend: React, Next.js Backend: Node.js, Python Database: PostgreSQL, Supabase AI Tools: OpenAI, Claude, LangChain, CrewAI, AutoGen Vector DBs: Pinecone, FAISS, Chroma Deployment Tools: Docker, Kubernetes, Vercel, Railway, n8n Dev Tools: GitHub, Copilot, Cursor, Tabnine Why Join Us? Work on real AI innovation with the latest tools. Be part of a fast-growing and creative team . Build applications that make an impact. Grow your skills in the exciting world of AI .

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) 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.

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 Exp Range- 4 to 12Years Locations- PAN India JD - GenAI Engineer/Developer Role Overview: We are seeking a skilled 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 or .NET to 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.

As a Senior AI Architect at Copper Digital in Gurugram, you will be responsible for leading the design of cutting-edge AI solutions, particularly focusing on Generative AI, RAG models, Computer Vision, and OpenCV. Your role will involve building scalable, AI-driven applications to address complex business challenges. Your key responsibilities will include designing and implementing Generative AI, RAG, and Agentic AI solutions. You should be proficient in LangChain, LlamaIndex, AutoGen, and Semantic Kernel. Additionally, you will be developing recommendation systems, predictive models, and computer vision solutions using CNNs and image processing techniques. You will lead the end-to-end AI lifecycle from POC/MVP to production, leveraging expertise in Python, TensorFlow, PyTorch, and cloud platforms such as AWS, Azure, and Google Cloud. Ensuring AI ethics and bias mitigation in model development is also a crucial aspect of your role. Desired skills for this position include a strong background in LLMs like GPT, BERT, LLaMA, and Bloom, as well as experience with classical AI methodologies such as decision trees, SVMs, and reinforcement learning. Proficiency in cloud and data management, along with excellent communication skills to effectively convey complex AI solutions to stakeholders, is highly valued. If you are ready to drive AI innovation, lead impactful projects, and contribute to the advancement of AI technology, we encourage you to apply for this exciting opportunity at Copper Digital in Gurgaon.,

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role We are seeking a Transformation Lead with a strong background in Azure cloud architecture and hands-on experience in implementing Generative AI (GenAI) solutions. This role blends cloud-native application design with modern AI capabilities, supporting the organization's journey toward intelligent, scalable, and AI-augmented systems. Design and build secure, scalable applications using Azure services like App Services, Functions, and Azure DevOps. Design and implement GenAI solutions using frameworks like LangChain, LangGraph, Autogen, crewAI, or OpenAI Agent SDK to orchestrate multi-step reasoning and agent workflows. Design and deliver AI-powered solutions for production use cases such as intelligent document processing, automated content generation, enterprise search assistants, and decision-support systems. Apply techniques like Retrieval-Augmented Generation (RAG), prompt engineering, and model fine-tuning Your Profile Education: Bachelor's or Master's 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. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

About the Role: 13 Job Description: We are seeking a highly skilled and visionary Agentic AI Architect to lead the strategic design, development, and scalable implementation of autonomous AI systems within our organization. This role demands an individual with deep expertise in cutting-edge AI architectures, a strong commitment to ethical AI practices, and a proven ability to drive innovation. The ideal candidate will architect intelligent, self-directed decision-making systems that integrate seamlessly with enterprise workflows and propel our operational efficiency forward. Key Responsibilities As an Agentic AI Architect, you will: AI Architecture and System Design: Architect and design robust, scalable, and autonomous AI systems that seamlessly integrate with enterprise workflows, cloud platforms, and advanced LLM frameworks. Define blueprints for APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Strategic AI Leadership: Provide technical leadership and strategic direction for AI initiatives focused on agentic systems. Guide cross-functional teams of AI engineers, data scientists, and developers in the adoption and implementation of advanced AI architectures. Framework and Platform Expertise: Evaluate, recommend, and implement leading AI tools and frameworks, with a strong focus on autonomous AI solutions (e.g., multi-agent frameworks, self-optimizing systems, LLM-driven decision engines). Drive the selection and utilization of cloud platforms (AWS SageMaker preferred, Azure ML, Google Cloud Vertex AI) for scalable AI deployments. Customization and Optimization: Design strategies for optimizing autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Define methodologies for fine-tuning LLMs, multi-agent frameworks, and feedback loops to align with overarching business goals and architectural principles. Innovation and Research Integration: Spearhead the integration of R&D initiatives into production architectures, advancing agentic AI capabilities. Evaluate and prototype emerging frameworks (e.g., Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems for architectural viability. Documentation and Architectural Blueprinting: Develop comprehensive technical white papers, architectural diagrams, and best practices for autonomous AI system design and deployment. Serve as a thought leader, sharing architectural insights at conferences and contributing to open-source AI communities. System Validation and Resilience: Design and oversee rigorous architectural testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation strategies, ensuring alignment with compliance, ethical and performance benchmarks for robust production systems. Stakeholder Collaboration & Advocacy: Collaborate with executives, product teams, and compliance officers to align AI architectural initiatives with strategic objectives. Advocate for AI-driven innovation and architectural best practices across the organization. Qualifications: Technical Expertise: 12+ years of progressive experience in AI/ML, with a strong track record as an AI Architect , ML Architect, or AI Solutions Lead. 7+ years specifically focused on designing and architecting autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Expertise in Python (mandatory) and familiarity with Node.js for architectural integrations. Extensive hands-on experience with autonomous AI tools and frameworks : LangChain, Autogen, CrewAI, or architecting custom agentic frameworks. Proficiency in cloud platforms for AI architecture : AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI, with a deep understanding of their AI service offerings. Demonstrable experience with MLOps pipelines (e.g., Kubeflow, MLflow) and designing scalable deployment strategies for AI agents in production environments. Leadership & Strategic Acumen: Proven track record of leading the architectural direction of AI/ML teams, managing complex AI projects, and mentoring senior technical staff. Strong understanding and practical application of AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and advanced bias mitigation techniques within AI architectures. Exceptional ability to translate complex technical AI concepts into clear, concise architectural plans and strategies for non-technical stakeholders and executive leadership. Ability to envision and articulate a long-term strategy for AI within the business, aligning AI initiatives with business objectives and market trends. Foster collaboration across various practices, including product management, engineering, and marketing, to ensure cohesive implementation of AI strategies that meet business goals. What's In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - ----------------------------------------------------------- 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

As an experienced AI Software Engineer, you will be responsible for designing, developing, and deploying Agentic AI applications and advanced software solutions leveraging Large Language Models (LLMs) and modern AI tools. Your primary focus will be on building autonomous AI agents, integrating them with business systems, and delivering production-grade applications that effectively solve complex problems. Your key responsibilities will include designing and developing agentic AI systems capable of autonomous reasoning, planning, and execution. You will also be integrating LLMs (such as OpenAI, Anthropic, Mistral, LLaMA, etc.) into scalable software applications, and building and optimizing multi-agent workflows using frameworks like LangChain, AutoGen, CrewAI, or custom solutions. Additionally, you will implement vector databases (Pinecone, Weaviate, FAISS, Milvus) for semantic search and retrieval-augmented generation (RAG), fine-tune LLMs or use instruction-tuning and prompt engineering for domain-specific tasks, develop APIs, microservices, and backend logic to support AI applications, collaborate with product teams to identify opportunities for AI automation, and deploy applications to cloud platforms (AWS/GCP/Azure) with a focus on security, scalability, and reliability. Monitoring, testing, and improving model performance through real-world feedback loops will also be part of your responsibilities. To qualify for this role, you should have at least 2+ years of experience in software development using Python, Node.js, or similar technologies, along with 1+ years of hands-on experience in AI/ML development, specifically with LLMs. Additionally, you should have a minimum of 1 year of experience in building autonomous AI agents or agent-based applications, a strong understanding of AI orchestration frameworks like LangChain, AutoGen, CrewAI, etc., experience with vector databases and embedding models, and cloud deployment experience (AWS Lambda, EC2, ECS, GCP Cloud Run, Azure Functions). Strong problem-solving skills, the ability to work independently, and an ownership mindset are also required. Preferred skills for this role include experience with multi-modal AI (text, image, audio), knowledge of data pipelines, ETL, and real-time event-driven architectures, a background in NLP, transformers, and deep learning frameworks (PyTorch, TensorFlow), familiarity with DevOps, CI/CD pipelines, and container orchestration (Docker, Kubernetes), and contributions to open-source AI projects or publications in AI/ML. In return for your expertise, we offer a competitive salary, performance-based bonuses, flexible working hours, remote work opportunities, exposure to cutting-edge AI technologies and tools, and the opportunity to lead innovative AI projects with real-world impact. This is a full-time, permanent position with benefits including Provident Fund. If you meet the required qualifications and have the desired skills, we look forward to welcoming you to our team on the expected start date of 19/08/2025.,

The role of a Multidisciplinary AI Professional at OmicsVeu involves being at the forefront of innovation in healthcare, precision medicine, spatial biology, and multi-omics by harnessing advanced AI technologies. As a freelancer, you will have the opportunity to contribute to high-impact projects and develop solutions for global challenges. We are looking for dynamic professionals who can quickly adapt to evolving technological landscapes and effectively manage multiple domains. Intellectual curiosity, a passion for learning, and a drive to deliver AI-powered results are essential qualities for this role. Key responsibilities include developing and deploying AI Agents, integrating cutting-edge AI technologies to optimize business processes and scientific research, collaborating within cross-functional teams to deliver actionable insights, proactively identifying opportunities for AI enhancement, staying updated on industry trends, learning emerging tools, collaborating across teams to translate business and research needs into AI solutions, and continuously monitoring, optimizing, and scaling deployed agents. Essential attributes for this role include high adaptability and flexibility in a fast-paced environment, interdisciplinary thinking, solid understanding of AI concepts, tools, and deployments, excellent problem-solving and critical thinking skills, effective communication and collaboration, ethical and responsible conduct, and proven multitasking and prioritization abilities. Qualifications for this position include a Bachelor's degree or higher in relevant fields (advanced degrees are a plus), demonstrated success on interdisciplinary AI projects, and prior experience or strong familiarity with practical AI. OmicsVeu offers flexible, project-based opportunities on the forefront of AI and life sciences, collaboration with a visionary, multidisciplinary team, and opportunities for learning and professional growth. If you are ready to make a meaningful impact by leveraging AI across multidisciplinary domains, OmicsVeu invites you to join our team. Apply now and be a part of shaping the future of innovation.,

Role & responsibilities Agentic AI Development Design and implement autonomous AI agents using frameworks such as AutoGen , LangGraph , or CrewAI Develop multi-agent workflows for task orchestration, decision-making, and collaboration Have understanding of Google Agent Development Kit for building agents RAG & LLM Integration Build and optimize Retrieval-Augmented Generation (RAG) pipelines for contextual grounding of LLMs Integrate vector databases and embedding models for efficient document retrieval Cloud & Platform Engineering Deploy and manage AI workloads on Google Cloud Platform (GCP) using Vertex AI Python Engineering Write clean, modular, and scalable Python code for agent logic, API integrations, and data processing Implement testing, logging, and performance optimization for agentic systems Collaboration & Innovation Work closely with data scientists, ML engineers, and product teams to co-develop intelligent solutions Stay updated on the latest advancements in agentic AI, LLMs, and cloud-native AI architectures

Required skills 5+ years of professional experience in building Machine Learning models & systems 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents. Experience in driving the engineering team toward a technical roadmap. Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must. Understanding of Cloud services, including Azure, GCP or AWS Excellent communication skills to effectively collaborate with business SMEs Roles & Responsibilities: Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures. Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices. Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes. Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products. Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development. Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

What We’re Looking For: 3–4 years of experience in AI/ML, NLP, or Intelligent Automation Hands-on Python + Agentic AI frameworks (LangChain / Semantic Kernel / AutoGen / CrewAI etc.) Knowledge of LLM APIs, Vector Databases, RAG architectures

Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality : Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering. Experience with vector databases RDBMS, MongoDB and NoSQL databases. Proficiency in working with embeddings. Strong distributed systems skills and system architecture skills Experienced in building and running a large platform at scale. Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema. Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Good Knowledge of Kubernetes, and RESTful design. Prior experience in developing public cloud services or open-source ML software is an advantage Role and responsibilities - Collaborating with cross-functional teams to define AI project requirements and objectives ensuring alignment with overall business goals Conducting research to stay up to date with the latest advancements in generative AI machine learning and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance scalability and efficiency. Active participation in developer communities, open-source contributions, or personal GenAI projects Work closely with the GenAI development team to integrate AI models and applications with the existing/new tool, quality, and performance. Act as an authority, guiding junior engineers and collaborating teams, fostering a culture of development excellence, collaboration, and continuous learning. Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies Working with leadership and stakeholders to identify AI opportunities and promote strategy. Serve as a technical lead, overseeing and supervising projects and engineers on the team. Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies. Drive our technology vision and roadmap. Establish software development best practices, and lead by example in applying them Experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions Strong sense of software design and usability of ML systems Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. Proven experience as a Engineering Lead, hands on Software Engineering Manager, or similar role Develop natural language processing (NLP) solutions using GenAI, LLMs and custom transformer architectures. Adopt and customize LLM agent-based orchestration tools (LlamaIndex, Langchain, Semantic Kernel) for enterprise applications and use cases Implement information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Developing and/or tune Large Language Models (LLM) and Generative AI (GAI) Analyze, design, develop, support and maintain Big Data environment and code base, support traditional data pipelines and processes. Education Computer science, Data Engineering, or a related field graduates.

What You’ll Do: Hands-on with LangChain / Semantic Kernel / CrewAI / AutoGen Experience in LLMs, APIs, Cloud, Vector DBs, RAG Strong Python + AI/ML/NLP background