8 Agentic Jobs

About the Role We are looking for an experienced and visionary Generative AI Architect with 8-12 years of experience in AI/ML, including hands-on work with LLMs (Large Language Models) and Generative AI solutions . In this strategic technical leadership role, you will be responsible for designing and overseeing the development of advanced GenAI platforms and solutions that transform business operations and customer experiences. As the GenAI Architect, you will work closely with data scientists, ML engineers, product teams, and stakeholders to conceptualize, prototype, and scale generative AI use cases across the organization or client engagements. Key Responsibilities GenAI Solution Architecture & Design Lead the design and development of scalable GenAI solutions leveraging LLMs , diffusion models , and multimodal architectures . Architect end-to-end pipelines involving prompt engineering , vector databases , retrieval-augmented generation (RAG) , and LLM fine-tuning . Select and integrate foundational models (e.g., GPT, Claude, LLaMA, Mistral ) based on business needs and technical constraints. Technical Strategy & Leadership Define GenAI architecture blueprints, best practices, and reusable components for rapid development and experimentation. Guide teams on model evaluation, inference optimization , and cost-effective scaling strategies . Stay current on the rapidly evolving GenAI landscape and assess emerging tools, APIs, and frameworks. Collaboration & Delivery Work with product owners, business leaders, and data teams to identify high-impact GenAI use cases across domains like customer support, content generation, document understanding, and code generation. Support PoCs, pilots, and production deployments of GenAI models in secure, compliant environments. Collaborate with MLOps and cloud teams to enable continuous delivery, monitoring, and governance of GenAI systems. Required Qualifications & Experience Education: Bachelor's or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related technical field . PhD is a plus. Experience: 12–15 years in AI/ML and software engineering, with 3+ years focused on Generative AI and LLM-based architectures . Core Skills Deep expertise in machine learning , natural language processing (NLP) , and deep learning architectures . Hands-on experience with LLMs, transformers, fine-tuning techniques (LoRA, PEFT) , and prompt engineering . Proficient in Python , with libraries/frameworks such as Hugging Face Transformers, LangChain, OpenAI API, PyTorch, TensorFlow . Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG pipelines . Strong understanding of cloud-native AI architectures (AWS/GCP/Azure), containerization (Docker/Kubernetes), and API integration. Architectural & Leadership Skills Proven ability to design and deliver scalable, secure, and efficient GenAI systems . Strong communication skills for cross-functional collaboration and stakeholder engagement. Ability to mentor engineering teams and drive innovation across the AI/ML ecosystem. Nice-to-Have Experience with multimodal models (text + image/audio/video). Knowledge of AI governance, ethical AI, and compliance frameworks . Familiarity with MLOps practices for GenAI , including model versioning, drift detection, and performance monitoring.

Experience: 4+ years of overall experience, with at least 2+ years of hands-on work in Generative AI and Agentic systems Key Skills: Practical application of LLMs, Gen AI, Agentic frameworks (note: candidates may reference tools like CrewAI or AutoGen), prompt engineering, fine-tuning, RAG, multi-agent systems, and autonomous AI agents Technical Proficiency: Strong coding skills in Python; experience with ML frameworks like TensorFlow or PyTorch; familiarity with tools such as LangChain, and platforms like Databricks or AWS Role Type: Individual Contributor only please do not source candidates with a managerial background Location: Mumbai or Bangalore Shift Timing: 12:00 PM – 9:00 PM

Must have: Gen AI, Agentic AI, Computer Vision, Tensorflow, Pytorch.. etc.. Proficiency in programming languages such as Python, with hands on experience in AIML libraries, Gen AI, Cloud ML, Vertex AI services and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Solid understanding of Gen AI, Agentic AI, Prompt engineering, AIML concepts, algorithms, and techniques. Experience with data preprocessing, feature engineering, and data visualization. Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract actionable insights. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience deploying AIML models in cloud environments. Knowledge of software development practices, version control systems (e.g., Git), and agile methodologies. Excellent communication and collaboration skills to work effectively in cross-functional teams. Strong organizational and time management skills, with the ability to prioritize and manage multiple projects simultaneously. Good to have handson experience with NLP projects Responsibilities: Design and develop AIML models, algorithms, and applications to solve complex business problems. Collaborate with data scientists and subject matter experts to understand business requirements and translate them into AIML solutions. Implement and optimize AIML algorithms and models using programming languages such as Python, R, or Java. Conduct data preprocessing, feature engineering, and data exploration to ensure the availability of high-quality data for training and evaluation. Evaluate and benchmark different AIML models, frameworks, and tools to identify the most suitable solutions for specific use cases. Train, validate, and fine-tune AIML models using various techniques such as deep learning, reinforcement learning, and natural language processing. Deploy AIML models in production environments, ensuring scalability, performance, and reliability. Collaborate with software engineers to integrate AIML solutions into existing applications or develop new applications. Stay up-to-date with the latest advancements in AIML technologies, research papers, and industry trends. Provide technical guidance and support to junior team members and promote knowledge sharing within the COE team.

Java SDET with experience in J2EE, React, and exposure to GenAI/Agentic AI/LLM models to join our team.candidate will have expertise in enterprise-level web application development and a strong understanding of AI-driven technologies.

As a Engineer, you will be joining a team transforming healthcare and improving the lives and vitality of the millions of members we serve. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a background in backend engineering or data engineering with a strong foundation in Python and system integrations. The candidate should have hands-on experience in developing applications with advanced Python concepts, as well as expertise in integrating systems both in cloud and on-prem environments. You will be instrumental in building scalable, robust systems while integrating AI-based capabilities into our solutions. Key Responsibilities: Develop and maintain backend applications using Python, ensuring high performance and scalability. Implement advanced Python concepts such as Gang of Four patterns, asynchronous programming, and decorators to optimize application efficiency. Build and maintain APIs using frameworks like FastAPI and Django. Use Pydantic for data validation and modeling. Integrate various systems, including databases and APIs, both within cloud environments and on-premises systems. Handle transaction management, failure handling, validation, and retries to ensure reliability and fault tolerance. Work with cloud services, preferably AWS, for building and deploying scalable systems. Collaborate with cross-functional teams to integrate AI features into applications. Work with tools like Langchain, Langraph, and Agentic (experience is a plus) to enhance AI capabilities. Desired Qualifications: 11 to 13 years of application development experience with a focus on backend engineering or data engineering and transitioned into AI. Atleast 3+ years of Hands-on experience with Python frameworks such as FastAPI, Django, and Pydantic. Strong proficiency in Python and experience with advanced programming concepts. Experience in system integration across cloud and on-premises platforms. Familiarity with transaction management, failure handling, validation, and retries. Experience with cloud platforms, particularly AWS. Knowledge of AI tools and libraries (Langchain, Langraph, Agentic) is a plus. Solid understanding of backend application development principles and best practices. Strong problem-solving skills and the ability to adapt to new challenges in a fast-paced environment. Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field.

We are looking for an experienced and proactive Technical Product Owner (System Analyst) to join our AI-focused team. As a key liaison between the onshore Product Owner and the offshore development and QA team, you will be responsible for owning the product roadmap, defining technical requirements, and driving the implementation of backend and AI initiatives. This role is ideal for someone with strong technical expertise, exceptional communication skills, and a passion for delivering high-quality products in collaboration with cross-functional teams. Key Responsibilities: Collaborate with the onshore Product Owner to translate business objectives into detailed technical requirements and actionable tasks. Own the product roadmap and backlog, ensuring alignment with business priorities and team capacity. Act as the primary point of contact for the offshore development and QA team, ensuring clear communication of requirements, priorities, and timelines. Work closely with developers and QA engineers to design, validate, and deliver high-quality AI-integrated backend systems and workflows. Define acceptance criteria and review deliverables to ensure they meet functional, technical, and business requirements. Facilitate sprint planning, daily stand-ups, retrospectives, and other Agile ceremonies for the offshore team. Drive the adoption of best practices for backend development, system integration, and AI implementation. Monitor and report on the progress of initiatives, identifying risks and ensuring timely resolution of blockers. Maintain a strong understanding of the technical stack, including Python-based backend systems, APIs, and cloud services (preferably AWS). Advocate for continuous improvement in processes, tools, and team collaboration. Qualifications: 8 to 11 years of experience as a Technical Product Owner, System Analyst, or similar role in a technology-focused environment. Strong technical background, with experience in backend systems, APIs, and cloud platforms. Excellent understanding of Agile methodologies and experience working in Agile teams. Proven ability to write clear and concise user stories, technical requirements, and acceptance criteria. Hands-on experience collaborating with development and QA teams, especially in offshore/onsite models. Knowledge of Python, system integrations, and cloud services like AWS is a significant advantage. Exposure to AI tools and workflows (e.g., Langchain, Langraph, Agentic) is a plus. Exceptional communication and leadership skills, with the ability to influence and motivate cross-functional teams. Strong problem-solving and analytical skills, with a focus on delivering high-quality solutions. What We Are Looking For: A proactive leader capable of owning the product and driving initiatives from concept to delivery. A collaborative team player who can bridge the gap between business stakeholders and technical teams. Someone with a passion for technology, particularly AI, and a desire to continuously improve products and processes. Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field.

• Experience in machine learning, data mining and analysis for model development, validation, implementation in product integration. • Experience in large-scale data processing frameworks and technologies. • Programming languages- Python or Scala.

Job Title: Data Scientist Experience: 5-8 Years Location: Mumbai/ Pune Skills Required: 1) Knowledgeable in LLMs, RAG, Prompt strategies. 2) Develops AI models/prompts and ensures their relevance and performance for RAG use cases considering various client documents.