39 Genrative Ai Jobs

Job Responsibilities: • Lead from the front as a hands-on subject matter expert, architecting and crafting scalable solutions, and driving data excellence across the organization • Architect a full ML Platform and build out the infrastructure to support scalability • Manage and mentor the team to ensure high-quality project delivery. • Plan and oversee AI projects, including data collection, model development, and deployment. • Evaluate AI model performance and optimize as needed for accuracy and efficiency. • Collaborate with stakeholders to understand business requirements and translate them into AI solutions. • Ensure compliance with data privacy and ethical AI practices. • Provide collaborative leadership to build out the AI function, MLEs, MLOps and Data Engineering • Define best AI/ML driven practices and AI lifecycle • Coach and mentor our team as we build scalable data and machine learning solutions • Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies • Inform and deliver on ambitious product roadmaps to accelerate growth

including embeddings, vector databases Position : PHP FullStack (Knowledge- GENAI ) +Python +Database SQL/ PostgreSQL Location : Pune/ Indore/ Kolkata Exp : 5+ Years OR 6+Years Budget Upto 25LPA Job Description below: Job Responsibilities Develop and maintain web applications using PHP, Laravel, Vue.js, JavaScript, HTML, and CSS. Configure nginx servers and work within Linux environments. Utilize Docker for containerization and deployment. Optimize application performance, security, and scalability. Design and integrate Generative AI-powered features using LLMs (e.g., OpenAI, Anthropic Claude) for intelligent assistance, content generation, or workflow automation. Leverage Generative AI tools (e.g., GitHub CoPilot, Cursor, Claude Code) to improve development efficiency and code quality. Participate in prompt engineering, model fine-tuning, and integrating APIs like ChatGPT, Gemini, or Hugging Face models into web products. Collaborate with internal team members to deliver well-tested, high-quality software solutions. Debug and troubleshoot issues across the front-end and back-end stack. Write clean, maintainable, and efficient code following best practices. Qualifications Strong proficiency in PHP and Laravel framework. Full stack is a must Experience with Vue.js for front-end development. Familiarity with nginx configuration and working in Linux environments. Solid understanding of JavaScript, HTML, and CSS. Experience with MySQL, PostgreSQL, or similar databases. Knowledge of RESTful API integration. Competency using Docker for containerized development. Hands-on experience integrating or working with Gen AI APIs or frameworks (OpenAI, LangChain, RAG pipelines, etc.). Experience with LLMOps practices, API integration, or AI-assisted user workflows is a strong plus. Working knowledge of AI-related architecture, including embeddings, vector DBs, and contextual assistants, is a bonus. Competencies / Personality Traits Strong problem-solving ability and attention to detail. Effective communicator, especially in remote/distributed teams. Self-directed and efficient in delivering contract-based work. Willingness to adopt new technologies as needed. Adaptable to fast-paced project timelines and changing priorities. Curious about AI and eager to explore how Gen AI can improve user experience and backend productivity. Prior Experience 5+ years of full-stack web development experience. Practical experience using Laravel, Vue.js, and Docker in production. Familiarity with Linux-based development environments. Experience building or integrating Gen AI capabilities in web applications preferred. Experience working as a contractor or freelance developer is a plus. Experience in Agile or sprint-based environments is helpful. Performance Measurement (KPIs/Metrics) Timely and high-quality completion of assigned development tasks. Code that meets quality, security, and performance standards. Effective use of Generative AI tools to accelerate development timelines and improve feature richness. Responsiveness and communication during the contract period. Minimal bugs or rework required after initial delivery. Notice Period - within 30 Days Intrested candidates can share their resumes with ritu.singh@calsoftinc.com

What you will be doing Design end-to-end AI and automation solutions for contact center and back-office operations, ensuring scalability, reliability, and security. Lead architectural discussions and solution design sessions for projects leveraging the Well-Architected Framework in public cloud environments, primarily AWS and Azure. Develop architectures for Generative AI use cases such as those for conversational AI, automated summarization, and workflow automation. Hands-on coding and development to build prototypes and POCs. Collaborate with business stakeholders, product managers, data scientists, and engineering teams to translate business requirements into robust technical solutions. Guide the implementation team on best practices, integration strategies, and technology selection. Perform architecture reviews, risk assessments, and design validations in accordance with organizational and industry standards. Maintain up-to-date knowledge of emerging AI, automation, and cloud technologies relevant to the contact center and back-office domains. Create clear and concise architecture documentation, technical diagrams, and presentation materials as needed. Serve as a trusted advisor and provide thought leadership across the AI Transformation team and broader organization. What you Bring • Minimum 7 years of experience in solution architecture, with a focus on cloud-native applications and services. Demonstrated expertise in designing and implementing AI-driven contact center and/or back-office automation solutions. Strong understanding and hands-on experience with at least one major public cloud provider (AWS, Azure, or GCP), including architectural best practices and security patterns. Proficiency in applying the Well-Architected Framework to solution design. Hands-on and extensive experience in at least one programming language C++, C#, Java or Python. Experience developing and delivering Generative AI solutions, such as conversational assistants, chatbots, or large language model integrations, is a significant advantage. Excellent technology fundamentals, including knowledge of microservices, APIs, data platforms, integration patterns, and security. Outstanding verbal and written communication skills, with the ability to convey complex technical topics to both technical and non-technical audiences. Demonstrated skill in stakeholder engagement, requirements gathering, and cross-functional collaboration. Preferred Qualifications Certifications in cloud architecture (e.g., AWS Solutions Architect, Azure Solutions Architect). Direct experience with contact center platforms, RPA tools, workflow automation, and enterprise AI/ML platforms. Background in delivering solutions for regulated industries (e.g., financial services, healthcare). Experience with Agile and DevOps delivery models. What We Offer Opportunity to work on cutting-edge AI and automation projects with a global impact. Dynamic, collaborative, and innovative team environment. Competitive compensation and benefits package. Continuous learning and professional development opportunities. Preferred candidate profile Looking for candidates who has hands on experience into Solution Architect and worked on AI driven contact centers. Ready to work into Hybrid role. Interested candidates can send their CV to esther.karkada@fisglobal.com

Dear Candidates, Please find the below JD, Location : Whitefield, Bangalore Contact : Ramya 9019493984 Requirement Minimum 8+ years of experience designing, building, and operating cloud-native applications at scale. Expertise in container orchestration frameworks like Kubernetes and containerization technologies like Docker. Expertise in AI/ML/data capabilities, platforms, frameworks and tools. • Proven track record deploying and managing cloud environments using Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation. Experience in designing and implementing highly available, scalable, and fault-tolerant systems. Development Lifecycle: End-to-end ownership of the entire software development lifecycle (SDLC) for complex enterprise platforms and products. This includes experience in design, prototyping, development (including unit, integration, and end-to-end testing), deployment, and ongoing operations. Technical Skills: Mastery of essential software development principles with a focus on clean code, design patterns, and best practices. In-depth expertise in at least two of the following programming languages: Python, Java, JavaScript, Golang, or C++. Solid understanding of distributed systems concepts and experience with distributed tracing tools. AI/ML Experience: Demonstrated experience in building, deploying, and managing Machine Learning (ML) and Artificial Intelligence (AI) platforms and services. Familiarity with MLOps practices, frameworks (TensorFlow, PyTorch), and tools is a plus Familiarity with modern LLMs and AI agent frameworks like LangChain, LlamaIndex , AutoGen etc. is a strong plus Thank you, Ramya

Role & responsibilities • Strong proficiency in Python, with a good understanding of its ecosystem and best practices. • Proficiency with AWS and cloud technologies. • Experience of infrastructure-as-code tools like Terraform • Knowledge with Visual Studio Code and other modern development environments • Solid understanding of data structures, algorithms, and software design patterns. • Familiarity with Linux/Unix and Windows operating systems. • Experience with software development methodologies (Agile, Waterfall, Lean). • Understanding of Generative AI concepts, including Large Language Models (LLMs) and their applications. • Proficiency with version control systems, particularly Git. • Good communication skills, able to explain technical concepts to team members and stakeholders. • Knowledge of relational and non-relational databases, SQL, and handling unstructured data. • Preferred candidate profile Education: Bachelor's degree in Computer Science, Information Systems, Mathematics, or equivalent work experience. • Experience Required: Approximately 6 years of software development experience. Your role and responsibilities: • Develop and implement components of Generative AI applications, ensuring code quality, performance, and reliability. • Participate in code reviews and contribute to the team's adoption of best practices in software development. • Collaborate with team members to implement technical requirements and contribute to technical solutions. • Assist in the collection, preprocessing, and curation of datasets for training generative AI models. • Contribute to gathering user feedback and participate in design iterations to enhance usability and satisfaction. • Maintain high code standards through peer code reviews and continuous learning. • Work on solving complex problems faced by the team, under the guidance of senior team members. • Collaborate effectively within geographically dispersed teams. • Participate in technical discussions with team members and contribute to documentation efforts.

Role -Backend Developer Location-Remote Exp- 7 Yrs + Must-have Skills: very strong Python and Django experience. API development (experience with API design, cross-system integrations) and debugging experience. Strong understanding of SQL, including performance and optimization. Nice to have skills: experience with background jobs (Celery, Temporal, etc) helpful, K8S experience helpful, AI/GenAI experience helpful. Ruby on Rails experience is a plus.

Job Title: Senior Engineer Python & LLMs Company: Xebia Experience Required: 6 to 10 Years Employment Type: Full-Time Work Mode: Hybrid (3 days/week in office) Locations: Chennai, Bangalore, Hyderabad, Pune, Jaipur, Bhopal, Gurugram Job Description: Xebia is hiring a Senior Engineer Python & LLMs to join our AI & Engineering team. We're looking for passionate individuals experienced in Python, Kubernetes, and LLMs to help us build scalable, intelligent applications. Key Responsibilities: Develop backend services using Python in cloud platforms (AWS, Azure, GCP) Deploy and manage applications using Kubernetes and Docker Integrate LLMs (OpenAI, Vertex AI, Hugging Face, etc.) into solutions Design and fine-tune prompts for GenAI applications Collaborate across teams to drive AI-driven feature delivery Must-Have Skills: Strong Python skills for API/backend development Hands-on with Kubernetes, Docker, and CI/CD Experience with cloud-native deployments (AWS/Azure/GCP) Proficiency with LLMs and prompt engineering Nice to Have: Vector databases (Pinecone, Weaviate, FAISS) MLOps pipelines and orchestration experience Understanding of cloud cost, security, and performance trade-offs Important: Only Immediate Joiners or Candidates with 15 Days Notice Period Will Be Considered Why Join Xebia? Work on real-world GenAI initiatives Be part of a globally respected engineering culture Enjoy continuous learning, certifications, and team collaboration To Apply: Send your CV to vijay.s@xebia.com with the subject line "Senior Engineer Python & LLMs" and include the following: Full Name Total Experience Current CTC Expected CTC Current Location Preferred Xebia Location (Chennai / Bangalore / Hyderabad / Pune / Jaipur / Bhopal / Gurugram) Notice Period / Last Working Day (if serving) Only 15 days accepted Primary Skills LinkedIn Profile

Hiring AI/ML Developer with hands-on LLM, Generative AI, chatbot development, Python (Pandas, Numpy), data pipelines & LLM tools (ChatGPT, Gemini, Claude). Strong English communication a must.

Immediate to 30days NP Hybrid Mode - 3 days WFO Payments Domain is Mandatory Baner , Pune JD : TP3 Developer Generative AI (7 Years Experience | 12 Years in GenAI) Key Responsibilities: GenAI Application Development: Contribute to the design and development of AI-powered applications leveraging Generative AI models such as LLMs. Assist in integrating these models into real-world business workflows. (1–2 years experience in GenAI-related projects preferred). Prompt Engineering & RAG Pipelines: Support the creation and refinement of prompts and Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain. Implement prompt chaining and retrieval flows under guidance. (1+ years of hands-on exposure ideal). Vector Database Integration: Implement and maintain vector store solutions for semantic search and knowledge retrieval. (1 year experience working with vector DBs preferred). AI Workflow Implementation: Build intelligent agents and multi-step automation pipelines using LLM APIs , chaining tools, and orchestration frameworks. Integrate with back-end systems using Java Spring Boot or Python FastAPI . (1+ years of experience with LLM-based workflows is a plus). Backend & Microservices: Develop robust backend services and REST APIs using Java (Spring Boot) and Python . Collaborate on system architecture, microservices design, and business logic development. (5+ years of backend development experience required, including 2–3 years in microservices/API work). CI/CD & Deployment: 2+ years of experience with DevOps tools like Docker, GitHub Actions, Jenkins, etc Database Support: Work with NoSQL databases (PostgreSQL) to support GenAI pipelines. (3+ years of experience in working with databases). Collaboration & Learning: Work under the guidance of senior engineers and AI architects. Proactively engage in learning new GenAI concepts and contribute to team discussions. (5–7 years total professional experience, with a strong learning and collaborative mindset). Required Qualifications: Technical Skills: Python: Strong programming skills with 5 + years of experience. Java (Spring Boot) – 3+ years of backend/API experience. GenAI Tools: 1–2 years of hands-on experience with Generative AI tools, including OpenAI APIs, Hugging Face Transformers, or similar libraries. LangChain or Equivalent: Exposure to LangChain or similar GenAI workflow tools for 1+ years . Vector Databases: Experience with Chroma, Pinecone, or Weaviate for 1+ years . Backend & Data: APIs & Microservices: At least 3+ years of experience in building backend services and REST APIs. Database Systems: Experience working with both SQL and NoSQL systems for 3–5 years . DevOps & Cloud: Exposure to Docker, CI/CD tools, and at least one cloud platform (AWS/GCP/Azure) for 2–3 years . Regards, Soniya S

Machine Learning, NLP, Deep Learning, GenAI LLMs, Prompt Engineering, RAG, Chatbots, GPT Python (Pandas, NumPy, Scikit-learn, XGBoost) Agentic AI, DDD, TDD, Hexagonal Architecture Terraform, Docker, REST/gRPC APIs, Git, Cloud (AWS/GCP/Azure)

Exposure To generative AI is must. Procurement Cloud Development team is looking for developers who are ready for new challenges in a fast-paced environment with experience in Java, JavaScript, REST. Job description displayed in the job posting Analyze, design develop, troubleshoot and debug software programs for commercial or end user applications. Writes code, completes programming and performs testing and debugging of applications. As a member of the software engineering division, you will perform high-level design based on provided external specifications. Specify, design and implement minor changes to existing software architecture. Build highly complex enhancements and resolve complex bugs. Build and execute unit tests and unit plans. Review integration and regression test plans created by QA. Communicate with QA and porting engineering as necessary to discuss minor changes to product functionality and to ensure quality and consistency across specific products. Duties and tasks are varied and complex needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience. Responsibilities displayed in the job posting Procurement Cloud is the key offering from the Oracle Applications Cloud Suite. Procurement Cloud is a fast growing division within Oracle Cloud Applications and have a variety of customers starting from a leading fast-food joint to world's largest furniture maker. Procurement Cloud Development works on different complex areas starting from a complex search engine to a time critical auctions/bidding process to core business functionalities like bulk order processing, just to name a few. As a member of our team, you will use the latest technologies, including JDeveloper, ADF, Oracle 12c Database, Oracle SQL, BPEL, Oracle Text, BC4J, web-services, and service oriented architectures (SOA). In addition to gaining this technical experience, you will also be exposed to the business side of the industry. Developers are involved in the entire development cycle, so you will have the chance to take part in activities such as working with the product management team to define the products functionality and interacting with customers to resolve issues. So are you looking to be technically challenged and gain business experience? Do you want to be part of a team of young, enthusiastic developers who know how to work and have fun at the same time? Well look no further. Join us and be the newest member of the Fusion Procurement Development! Skills/languages:: 1-8 years of experience in building Java based Applications. Good programming skills, excellent analytical/logical skills. Able to design a feature from end to end. Can think out of the box, has practical knowledge on the given technologies, can apply logic to solve a technical problem though might not have the background on the same. Should be persistent in his/her efforts. Experience in BPEL, Workflow System, ADF, REST Implementation, AI/ML, Scrum processes is a plus. Required: Java, OOPS Concepts, Spring boot, Microservices Optional: JDBC, XML, JavaScript, SQL, PL/SQL, Unix/Linux, REST, ADF, AI/ML, Scrum Analyze, design develop, troubleshoot and debug software programs for commercial or end user applications. Writes code, completes programming and performs testing and debugging of applications.

Hiring Now AVP, Operations Change Management Specialist | Pune Location: Pune Role: AVP Operations Change Management Specialist Experience: 12+ years (with 5 years relevant) in Data analysis, Business analysis, Project management, Transformation, Stakeholder engagement, Transformation and process optimization, Operations excellence Shift Timings: India (11 AM- 8 PM) Key Responsibilities: Lead end-to-end implementation of strategic change initiatives, with focus on operational efficiency. Collaborate with internal stakeholders, project managers, and SMEs to align changes with business goals. Design and execute change management strategies and training plans. Define and monitor KPIs to assess the effectiveness of change efforts. Support automation (including RPA) and operational modeling initiatives. Provide insights through data analysis to guide decision-making. Required Skillsets: Hands-on experience with data analysis tools SAS, SQL, Python (Generative AI Added advantage) Knowledge of Securities, FX, OTC Derivatives, or Listed F&O products Strong documentation and presentation skills Visio, SharePoint, MS Office Proven experience in stakeholder management, operational modelling , and automation support MBA (Finance) and certifications like PMP/Prince2 preferred Familiarity with tools like Blueworks Live and RPA requirements is a plus. Reach out to me at kanika@manningconsulting.in or connect on 9953939776 for more details.

Solutions Architect : Pre-Sales (Application Modernization & Digital Platforms) Role Summary We are looking for a seasoned Solutions Architect to lead pre-sales solutioning and technical design for application modernization initiatives. This role focuses heavily on application architecture including legacy system transformation, re-platforming, and modular enterprise app design — with working knowledge of cloud-native tools and DevOps principles. The ideal candidate is proficient in Java, Python, Node.js, and .NET, and well-versed in enterprise architecture best practices and design patterns that scale across organizations. Key Responsibilities Architect application modernization solutions during pre-sales engagements, aligning with client business needs and IT strategy. Analyze legacy application portfolios and propose modernization strategies such as rehosting, refactoring, rearchitecting, or rebuilding. Design scalable, resilient, and maintainable solutions using modern architecture patterns (microservices, event-driven, layered architecture). Leverage enterprise design patterns such as: Strangler Fig (incremental modernization) Domain-Driven Design (DDD) CQRS and Event Sourcing API Gateway and BFF (Backend-for-Frontend) Repository, Unit of Work, and Adapter patterns Produce solution architecture documents, estimates, and presentation material for RFPs/RFIs, proposals, and customer pitches. Guide PoC implementations, demo environments, and value accelerators. Ensure solution designs incorporate non-functional requirements: scalability, security, observability, availability, and performance. Technology Stack Languages/Frameworks: Java (Spring Boot, Hibernate, JPA) Python (FastAPI, Django, Celery) Node.js (Express, NestJS) .NET Core (.NET 6/7, ASP.NET Web API) Databases: PostgreSQL, MS SQL, MongoDB, Redis Integration: REST, gRPC, Kafka, RabbitMQ Architecture: Microservices, SOA, Modular Monoliths, Reactive Systems Cloud & DevOps (Secondary Focus) Exposure to AWS, Azure, or GCP cloud services (compute, storage, messaging, API management). Understanding of containerization (Docker, Kubernetes) and CI/CD pipelines. Familiarity with Infrastructure as Code (Terraform, Helm) and observability tools (Prometheus, Grafana, ELK). Best Practices & Architecture Governance Apply industry best practices such as: Twelve-Factor App principles SOLID design principles Secure coding practices (OWASP Top 10) Design-for-failure and graceful degradation Champion documentation standards, reusable reference architectures, and lightweight architecture decision records (ADRs). Participate in architecture review boards and provide guidance to ensure consistency across engagements. Pre-Sales Experience Proven experience creating solution blueprints, technical writeups, and estimates as part of bid responses and proposals. Conduct client workshops, technical discovery, and early-stage assessments. Support business development by identifying architectural differentiators and scalable patterns. Qualifications 10–16 years of experience in software architecture, including recent hands-on involvement in solutioning. Bachelor’s or Master’s degree in Computer Science or Engineering. Certifications preferred: TOGAF, CITA. Exposure to verticals like BFSI, Healthcare, Manufacturing, or Telecom is a plus.

Key Responsibilities: Understand and analyze business requirements, technical specifications, and use cases. Design, write, and execute automated test cases for web, mobile, or API applications. Maintain and update existing automation test scripts to accommodate changes. Use tools like Selenium , Playwright , Cypress , Appium , or Postman based on the project. Debug and troubleshoot failed tests using logs and reports. Work with developers and manual testers to understand issues and verify fixes. Contribute to continuous integration/continuous deployment (CI/CD) pipeline testing. Participate in daily stand-ups, sprint planning, and retrospective meetings. Document test results clearly and escalate defects appropriately. QA of Generative AI modules and features Must-Have Skills: Basic understanding of test automation concepts and frameworks. Experience with one or more automation tools (e.g., Selenium WebDriver, TestNG, JUnit, PyTest ). Programming knowledge in Java, Python, or JavaScript . Familiarity with version control tools (Git preferred). Understanding of SDLC and STLC . Basic knowledge of REST APIs and using tools like Postman for API testing. Good-to-Have Skills: Use of Generative AI in QA QA of Generative AI features

Role & responsibilities Focus on designing and developing proof of concepts (PoCs) and demonstrate the solution on a tight schedule. Utilize GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes. Work with data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory to build agentic workflow Embed/integrate GenAI agents (Copilot agents) into business platforms such as Workday, Teams, etc Manage small to medium-sized projects with minimal supervision. Automation of complex processes using GenAI agents, especially using the Azure GenAI echo system Advanced Python programming Hands-on experience with data storage systems, especially Snowflake, Azure Data Factory, Azure Fabric, and Azure Synaps Building Copilot agents and embedding them into systems such as Workday, Teams, etc Preferred candidate profile Bachelors or masters degree in AI, computer science, Engineering, mathematics or a related field. 2-4 years of experience in developing and deploying AI/ML solutions to production. Hands-on experience with no code, low code, and SDKs for AI system development. Proficiency in data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory. Experience with Azure Cloud, Azure AI Foundry, Copilot Studio, and frameworks such LangChain, LangGraph, MCP for building agentic systems. Strong understanding of Agile methodology and project management. Ability to manage projects independently and make decisions under ambiguity.

We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and deployment of advanced AI systems. You will work on cutting-edge machine learning models, natural language processing, computer vision, and AI infrastructure to solve real-world problems and drive innovation across our products and services. Key Responsibilities: Design, develop, and deploy scalable AI/ML models for production environments. Lead end-to-end AI project lifecycles from data collection and preprocessing to model training, evaluation, and deployment. Collaborate with cross-functional teams including data scientists, software engineers, and product managers. Optimize model performance and ensure robustness, fairness, and explainability. Stay current with the latest research and advancements in AI and machine learning. Mentor junior engineers and contribute to building a strong AI engineering culture. Required Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred). 5+ years of experience in AI/ML engineering with a strong portfolio of deployed models. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Experience with cloud platforms (AWS, Azure) and MLOps tools. Strong understanding of data structures, algorithms, and software engineering principles. Excellent problem-solving and communication skills. Preferred Qualifications: Experience with LLMs, RAG, or agentic AI (Crew AI) systems. Familiarity with vector databases, prompt engineering, and AI safety practices. Contributions to open-source AI projects or published research papers. Experience with real-time inference systems and edge AI.

About Position: We are seeking a highly skilled Senior Python AI Developer with proven experience in Generative AI, LangChain, and data pipeline integration tools like Logstash and Elasticsearch. Role: Python AI Developer Location: Pune Experience: 4-8 Years Job Type: Full Time Employment What You'll Do: Design and implement scalable and secure AI applications using Generative AI models (e.g., GPT, Claude, LLaMA). Develop and optimize pipelines using LangChain for prompt engineering, document retrieval (RAG), and intelligent agent workflows. Build RESTful APIs to expose AI/ML services and integrate them into applications. Architect and manage data flows from structured/unstructured sources using Logstash and Elasticsearch. Index, search, and analyze large datasets using Elasticsearch and integrate them with vector embeddings. Collaborate with product, data, and ML teams to define AI application scope and deliver robust solutions. Ensure performance, scalability, and security in AI and API services. Document system architecture, workflows, and API specifications. Expertise You'll Bring: 4+ years of professional experience in Python development. Strong hands-on experience with LangChain and Generative AI architectures. Proficiency in building and consuming REST APIs. Solid understanding of Elasticsearch (indexing, querying, vector search) and Logstash for data ingestion and transformation. Experience working with LLMs (OpenAI, Cohere, Hugging Face, etc.) and building RAG (Retrieval-Augmented Generation) pipelines. Familiarity with vector stores (e.g., FAISS, Weaviate, Pinecone). Strong knowledge of software engineering principles, version control (Git), and agile methodologies. Excellent problem-solving skills, with a focus on quality and attention to detail. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry's best Let's unleash your full potential at Persistent "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

Role - GenAI Expert Location - Bengaluru/Hyderabad/Noida/Gurgaon/Pune Role & responsibilities Solve real-world problems using cutting-edge LLM/GenAI/GPT technologies. Develop and deploy Python-based applications on Azure/AWS. Lead proof-of-concept to production transitions for AI/Data Science solutions. Collaborate with clients on innovative GenAI use cases. Preferred candidate profile Holds a B.Tech/BE (CS) or Masters (ML/Stats) from a Tier 1-2 institute. Strong hands-on experience with Python, SQL, and web frameworks (Flask/Django). Familiarity with frontend technologies (HTML, JavaScript, React) is a plus. Life Sciences/Pharma background? Even better! Perks and benefits Health Benefits Retirement Benefits Paid Time Off Flexible Benefits Hybrid / Full-Time Office / Remote options Inclusive environment encouraging diverse perspectives and ideas. Challenging and unique opportunities to contribute to a transforming organization. Technical challenges with global impact. Self-development support: Axtria Institute, external certifications, knowledge sharing. Sponsored Tech Talks & Hackathons. Possibilityto relocate to any Axtria office for short/long-term projects . Please note: We are looking for immediate joiners or professionals who can join on short notice. Candidates who have interviewed with us in the last 3 to 6 months are requested to skip this email.

Position Overview We are looking for an experienced AI/ML Lead to join our team in Bengaluru. The ideal candidate will bring a deep understanding of machine learning, artificial intelligence, and big data technologies, with proven expertise in developing scalable AI/ML solutions. You will lead technical efforts, mentor team members, and collaborate with cross-functional teams to design, develop, and deploy cutting edge AI/ML applications. Job Details Job Category: AI/ML Engineer Job Type: Full-Time Job Location: Bengaluru Experience Required: 5-10 Years About Us We are a multi-award-winning creative engineering company. Since 2011, we have worked with our customers as a design and technology enablement partner, guiding them on their digital transformation journeys. Roles and Responsibilities Backend Development Design, develop, and maintain robust backend systems to support AI/ML applications. Implement APIs and services to integrate AI models with frontend applications and other services. Ensure scalability, performance, and security of backend systems. Big Data Solutions Work with large-scale data processing frameworks like Hadoop and Spark, as well as CRMs (e.g., Salesforce) and databases (e.g., Postgres, MongoDB). Develop and optimize data pipelines for efficient data ingestion, processing, and storage. Ensure data integrity and consistency across multiple sources and formats. Machine Learning Develop, train, and deploy traditional machine learning models (e.g., regression/classification models, neural networks). Perform data analysis and feature engineering to improve model performance. Continuously monitor and refine models based on performance metrics. Generative AI Knowledge Base Solutions Design and implement generative AI models for knowledge base creation and maintenance. Develop systems to integrate generative AI with existing knowledge management platforms. Optimize generative models for high-quality, relevant output in knowledge base contexts. Collaboration and Communication Collaborate with data scientists, software engineers, and product managers. Communicate complex technical concepts effectively to non-technical stakeholders. Lead technical discussions and mentor junior team members. Research and Innovation Stay updated on advancements in AI, machine learning, and big data technologies. Conduct research to explore new methodologies and enhance existing solutions. Propose and implement innovative approaches to solve complex problems. Key Skills and Competencies Core Technical Skills Proficiency in data analytics, descriptive analytics, and predictive analytics. Experience with regression and classification models like Linear Regression, Logistic Regression, Decision Trees, Random Forest, and Neural Networks. Expertise in programming languages: Python, R, SQL, Java, C, and C++. Familiarity with AI/ML tools provided by cloud platforms (AWS, Azure, GCP) such as TensorFlow, SageMaker, and Azure ML. Hands-on experience working with LLM models. Proficiency in data modeling and data visualization. Additional Skills Strong problem-solving skills focused on product development. Proven track record of supporting global clients or internal stakeholders in data science projects. Knowledge of AI-related fields such as image processing and video analytics. Ability to work across time zones and geographic borders. Exceptional written and spoken communication skills to convey technical concepts effectively to non-technical audiences. Qualifications Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute. What We Offer Competitive salary and benefits package. Opportunity to work in a dynamic and innovative environment. Professional development and learning opportunities.

Should have exp with Agen c frameworks like Crew AI, Lang, graph, Swarm AI etc. Must have contributed significantly to the development of at least 2 Gen AI projects. Must have worked with mul ple Gen AI models including GPT, Claude, Qwen, Lama etc.

Role & responsibilities Define and own the AI/ML vision and roadmap aligned with business objectives and the digital strategy of the insurance organization. Lead the design and implementation of ML, deep learning, NLP, and GenAI solutions across core business functions. Spearhead use cases such as: Intelligent claims adjudication and fraud analytics Predictive underwriting and pricing optimization Risk scoring and customer lifetime value modeling Virtual assistants and GenAI for customer engagement OCR/NLP for document automation, NER, Spacey Drive adoption of GenAI technologies (e.g., ChatGPT, LLMs, LangChain) in areas like automated policy servicing, chatbots, and document summarization. Oversee end-to-end ML lifecycle from problem framing, data preparation, model training, to deployment and monitoring. Collaborate with engineering, product, actuarial, and operations teams to embed AI models into digital platforms. Establish robust MLOps practices and ensure scalability, reproducibility, and governance of models. Evaluate and implement AI platforms and tools (e.g. Vertex AI, AWS Sagemaker, Hugging Face, Databricks). Build and lead a team of data scientists, ML engineers, and AI researchers. Stay at the forefront of emerging AI trends and regulatory considerations relevant to the insurance industry. Preferred candidate profile Experience in insurance or fintech domain, with a good understanding of insurance workflows and actuarial concepts. Exposure to AI productivity tools like Cursor.io, GitHub Copilot, or Chat GPT for enhanced development velocity. Strategic thinking combined with the ability to be hands-on when needed. Excellent leadership, stakeholder management, and communication skills. Strong understanding of data privacy, model fairness, explainability, and regulatory compliance (e.g., IRDAI). ------------------------------------------------------------------------------------------------------- Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field (PhD preferred). 10+ years of experience in data science or machine learning, with at least 35 years in a leadership role. Proven track record of leading AI/ML teams in regulated industries such as insurance, banking, or healthcare. Deep knowledge of machine learning, NLP, deep learning frameworks (Tensor Flow, PyTorch), and model deployment techniques. Experience deploying AI models into production at scale using cloud-native MLOps tools. Expertise in Generative AI, LLMs, Vision LLMs, and Retrieval-Augmented Generation (RAG) is a strong plus. Tech Stack Required- Python , Statistics , Machine Learning Pipelines, Natural Language Processing , LLM, MLOps ,LLMOps, GenAi, AWS, Scikit-lear, keras, Classification | Summarization | Generation | Name Entity Recognition | BIO Tagging | Transformers | CNN | RNN | LSTM | BERT ), Docker | MLflow | Grafana | Wandb | Github Actions / CircleCi / Jenkins | Terraform | Paperspace | Kubernetic |AWS ), LLM, LLMOps, VertexAi, BadRock, OpenAi.

Job Descriptions 1. Job Title: Full-Stack AI Engineering Lead Experience: 4-6 Years Location: Pune The Role: As a Full-Stack AI Engineering Lead, you will be responsible for the end-to-end design, development, and deployment of sophisticated AI-powered applications. You will work closely with AI specialists, product managers, and other developers to translate complex requirements into robust, scalable, and user-friendly solutions. This role requires a strong foundation in full-stack development, a deep understanding of AI/ML concepts (particularly LLMs and GenAI), expertise in modern deployment practices, and a proactive approach to problem-solving and technical leadership within an Agile environment. Key Responsibilities: Design, develop, test, and deploy high-quality, scalable full-stack applications integrating AI/ML models, following Agile methodologies. Collaborate on the architecture and design of our AI applications, ensuring they meet performance, security, and scalability requirements. Work extensively with Large Language Models (LLMs), Generative AI techniques, and traditional Machine Learning models, integrating them into our product offerings. Develop and maintain backend services and APIs (Python/Java preferred) and robust middleware solutions. Build responsive and intuitive front-end interfaces. Manage and optimize databases (SQL and NoSQL) to support application needs. Leverage Docker and Containerization (e.g., Kubernetes) for packaging, deploying, and scaling applications. Deploy and manage applications on cloud platforms, with demonstrated experience in Azure or AWS . Stay abreast of futuristic developments in AI, full-stack technologies, and software engineering best practices, and champion their adoption where appropriate. Lead and mentor junior developers, fostering a culture of technical excellence and continuous learning. Utilize JIRA for task management and Confluence for documentation. Contribute to project planning, estimation, and execution, demonstrating strong project management skills to ensure timely delivery. Champion the use and contribute to the evolution of our internal Purple Fabric AI platform. Must-Have Skills & Experience: 4-6 years of professional experience in full-stack software development. Proven experience in developing and deploying applications leveraging AI, LLMs, Generative AI, and Machine Learning . Strong proficiency in full-stack development, with expertise in both front-end (e.g., React, Angular, Vue.js) and back-end technologies. Expertise in Python or Java for backend development. Solid experience with database technologies (e.g., PostgreSQL, MySQL, MongoDB) including schema design and optimization. Experience developing and consuming middleware services and APIs. Proficiency with JIRA for agile development and Confluence for technical documentation. Demonstrable project management skills , including planning, execution, and risk management. Hands-on experience with Docker and Containerization technologies (e.g., Kubernetes). Proven experience with deploying and managing applications on cloud platforms, specifically Azure or AWS . Demonstrated experience working in an Agile development environment. Excellent problem-solving, analytical, and communication skills. Ability to quickly learn and adapt to new technologies and platforms, including our in-house Purple Fabric AI platform. A proactive mindset, with a passion for innovation and staying ahead of futuristic developments in AI and software. Nice-to-Haves: Experience with specific Azure or AWS services relevant to AI/ML and application hosting. Knowledge of advanced Kubernetes concepts and management. Contributions to open-source projects or a strong portfolio of personal projects. 2. Job Title: Full-Stack AI Engineer Experience: 2-3 Years Location: Pune The Role: As a Full-Stack AI Engineer, you will be involved in the entire software development lifecycle, from concept and design to development, testing, and deployment of AI-driven applications using Agile practices. You will collaborate with senior developers and AI specialists to build features, integrate AI models, and ensure our applications are robust and user-friendly. This is an excellent opportunity for a developer passionate about both full-stack engineering, modern deployment techniques, and the cutting edge of AI. Key Responsibilities: Develop, test, and maintain full-stack applications, with a focus on integrating AI/ML functionalities, working within an Agile framework. Work with AI technologies including LLMs, Generative AI, and Machine Learning models under the guidance of senior team members. Contribute to the development of backend services and APIs using Python or Java . Assist in building and refining front-end components for our applications. Support database management and middleware integration tasks. Utilize Docker for Containerization of applications and assist in deployment processes. Gain hands-on experience with cloud services on Azure or AWS for application deployment and management. Actively learn about and apply futuristic developments in AI and software engineering. Utilize JIRA for tracking development tasks and Confluence for accessing and contributing to documentation. Participate in project planning and execution, developing project management skills and contributing to team goals. Get hands-on experience with our internal Purple Fabric AI platform and contribute to its application. Must-Have Skills & Experience: 2-3 years of experience in full-stack software development. Solid understanding and hands-on experience with AI concepts, including LLMs, Generative AI, and Machine Learning . Proficiency in full-stack development, including front-end and back-end technologies. Strong programming skills in Python or Java . Experience with database technologies (SQL or NoSQL). Familiarity with middleware concepts and API development/consumption. Working knowledge of JIRA and Confluence . Experience working with Docker and an understanding of Containerization principles. Familiarity with cloud platforms, specifically Azure or AWS , and basic deployment concepts. Experience or strong understanding of Agile development methodologies. Developing project management skills with an ability to manage tasks and contribute to project timelines. A strong desire to learn and keep up-to-date with futuristic developments in the AI field. Eagerness to learn and work with the Purple Fabric AI platform. Good communication and teamwork skills. Nice-to-Haves: Experience with a modern front-end framework (e.g., React, Angular, Vue.js). Experience with CI/CD tools. Exposure to Kubernetes.

Key Responsibilities: 10+ years - Architect to design scalable, production-grade AI/ML systems and data pipelines. Collaborate with stakeholders to identify and scope use cases for machine learning, deep learning, NLP, and computer vision. Lead the selection and implementation of AI/ML frameworks, platforms, and tools (e.g., TensorFlow, PyTorch, Scikit-learn). Guide teams in model development, training, evaluation, deployment, and monitoring in production environments. Define MLOps strategy for CI/CD, model versioning, retraining, and governance. Ensure solutions are optimized for performance, scalability, security, and compliance. Work closely with data engineers to ensure robust data pipelines, feature stores, and data quality standards. Serve as an AI thought leader within the organization, mentoring engineers and promoting best practices. Evaluate new AI technologies and platforms to drive innovation and maintain competitive advantage. Contribute to documentation, standards, and architecture governance.

Required Qualifications, Capabilities, and Skills: Solid understanding of backend performance optimization and debugging. Formal training or certification on software engineering concepts and proficient applied experience • Strong hands-on experience with Python Experience in developing microservices using Python with FastAPI. Commercial experience in both backend and frontend engineering Hands-on experience with AWS Cloud-based applications development, including EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis. Strong engineering background in machine learning, deep learning, and neural networks. Experience with containerized stack using Kubernetes or ECS for development, deployment, and configuration .Experience with Single Sign-On/OIDC integration and a deep understanding of OAuth, JWT/JWE/JWS. Knowledge of AWS SageMaker and data analytics tools. Proficiency in frameworks TensorFlow, PyTorch, or similar. Preferred Qualifications, Capabilities, and Skills: Familiarity with LangChain, Langgraph, or any Agentic Frameworks is a strong plus. Python engineering experience.

Project Role: Senior AI/ML Manager Work Experience: 8 to 14 Years Work location: Bengaluru/Kochi Must Have Skills: Machine Learning, NLP, Deep Learning, AI, Python, GenAI. Job Description Develop/leverage fit for purpose AIML models/algorithms/foundation models/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Assists with the ongoing development and implementation of an enterprise architecture. May devise and present business cases and program release plans to senior management with priority recommendations to maintain and evolve this architecture. Builds effective business relationships with business line managers and provides technical and system expertise as input to product concepts. May assist product development management to define IT strategic direction and assists in the mapping of projects to that strategic direction whilst ensuring product capabilities and process improvements are delivered over time within the framework of the IQVIA enterprise architecture. Participates in cross-functional product development teams, may also act as a consultant to provide system and technical advice. Keeps up to date with technology changes and identifies opportunities for implementation in future systems. Participates in R&D projects and may run those projects in compliance with standard project management practices. May mentor and assist lower-level architects and business analysts. Qualifications 10+ years of experience in engineering roles with team management experience 6-8 relevant years experience on NLP,GenAI/LLM, Machine Learning and Deep learning 6-8 relevant years of experience on Python Extensively work on NLP applications, ability to work on Machine learning model, Deep learning development Extensive knowledge in leveraging GenAI/LLM for developing innovative solutions to complex business problems. Solid understanding of LLMs, including fine-tuning methodologies and deployment strategies. Experience on text to transform natural language into useful features. Find and implement the right algorithms and tools for NLP tasks. Extend ML libraries and frameworks to apply in NLP tasks. Demonstrated experience in writing effective, scalable, and maintainable code Experience on Writing on effective and scalable code Experience on Unit Testing using Pytest or equivalent framework. A deep understanding and multi-process architecture and the threading limitations of Python. Must have experience working with REST APIs, and frameworks like Flask API and Fast API. Experience with Django or Pyramid framework is a good to have Knowledge of NER, Knowledge graphs is good to have. Education Qualification Master's Degree masters degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field