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Having experience in Implementing Integration Solutions using Oracle Integration Cloud Service.

Developed integration between SaaS application (Oracle Cloud ERP, Oracle Cloud HCM) and between SaaS and PaaS application

Should have worked extensively on minimum 3-4 Technology Adapters like File, Database, Oracle ERP & FTP adapter

Should have excellent skill in Web Service technologies such as XML, XPath, XSLT, SOAP, WSDL, and XSD

Experience in all phases of software development lifecycle from gathering requirements to documentation, testing, implementation and support Ability to troubleshoot technical and configuration issues

Should be able to communicate effectively with the functional & technical groups and various technical team members.

Ensure completion of tasks, milestones, and components including Technical specifications, design specifications, configurations, quality assurance, implementations, and project reviews

AI/ML Engineer (GenAI | LangChain | RAG | Python)

Location: Pune (Onsite/Hybrid)

Experience: 1–3 Years

Employment Type: Full-Time

About the Role

We are looking for a passionate and hands-on AI/ML Engineer to join our growing engineering team. This role focuses on building production-grade AI-powered applications using modern Generative AI frameworks, Large Language Models (LLMs), backend technologies, and orchestration workflows.

The ideal candidate should have strong Python development skills along with practical experience working with LangChain, LangGraph, Vector Databases, Embeddings, and Retrieval-Augmented Generation (RAG) architectures. You will collaborate with senior engineers to design, develop, and deploy scalable AI solutions for enterprise applications.

Key Responsibilities

• Develop and maintain AI-powered applications using Python and FastAPI.
• Design and implement LangChain and LangGraph-based LLM workflows.
• Build and manage Vector Database integrations for embeddings and semantic search.
• Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent applications.
• Create reusable backend APIs and AI orchestration services.
• Write clean, maintainable, and production-ready code.
• Collaborate with engineering teams on AI solution architecture and implementation.
• Participate in code reviews, debugging, testing, and performance optimization.
• Integrate AI services into enterprise software applications.
• Contribute to prompt engineering, embedding optimization, and workflow improvements.

Required Skills

• 1–3 years of hands-on software development experience.
• Strong proficiency in Python programming.
• Experience building REST APIs using FastAPI.
• Hands-on experience with LangChain and LangGraph.
• Understanding of Large Language Models (LLMs) and prompt engineering.
• Experience working with Vector Databases and embedding-based search.
• Knowledge of Retrieval-Augmented Generation (RAG) architectures.
• Familiarity with Git and CI/CD practices.
• Strong debugging, analytical, and problem-solving skills.
• Understanding of software engineering best practices and clean coding principles.

Preferred Skills

• Exposure to AWS, Azure, or Google Cloud Platform.
• Experience with Docker and containerized deployments.
• Understanding of AI Agent workflows and autonomous systems.
• Basic knowledge of Machine Learning concepts.
• Experience with embedding optimization and inference pipelines.
• Familiarity with scalable AI backend architectures.
• Exposure to enterprise AI integrations and deployment workflows.

Ideal Candidate Profile

• Engineers with hands-on experience building AI-powered applications.
• Developers working on GenAI, LLM, Agentic AI, or RAG-based solutions.
• Python backend developers looking to transition into AI Engineering.
• Candidates with practical implementation experience using LangChain and Vector Databases.
• Engineers passionate about building scalable, production-grade AI systems.

Eligibility Criteria

• Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• 1–3 years of professional development experience.
• Strong coding, debugging, and problem-solving capabilities.
• Ability to work from Pune office as per business requirements.

Important Note

This is a practical implementation-focused role. Candidates will be evaluated based on real-world AI engineering experience, project ownership, debugging maturity, and practical understanding of AI workflows. Tutorial-only exposure to GenAI tools, LangChain, or LLMs will not be considered sufficient.

If you're excited about building real-world AI products using LLMs, RAG, Agentic Workflows, and modern AI frameworks, we'd love to hear from you.

Key Skills Required:

·         You will be part of the DevOps engineering team, configuring project environments, troubleshooting integration issues in different systems also be involved in building new features for next generation of cloud recovery services and managed services. 

·         You will directly guide the technical strategy for our clients and build out a new capability within the company for DevOps to improve our business relevance for customers. 

·         You will be coordinating with Cloud and Data team for their requirements and verify the configurations required for each production server and come with Scalable solutions.

·         You will be responsible to review infrastructure and configuration of micro services and packaging and deployment of application

To be the right fit, you'll need:

·         Expert in Cloud Services like AWS.

·         Experience in Terraform Scripting.

·         Experience in container technology like Docker and orchestration like Kubernetes.

·         Good knowledge of frameworks such as Jenkins, CI/CD pipeline, Bamboo Etc.

·         Experience with various version control system like GIT, build tools (Mavan, ANT, Gradle ) and cloud automation tools (Chef, Puppet, Ansible)

Company Name- uFaber Edutech Pvt Ltd.

Shift Timing/ Day- 10:30AM-7:30PM/11AM-8PM

Location-Pune,Kolkata,Mumbai,Noida

Website: www.ufaber.com

Who are we-

uFaber is a well-funded Edutech startup, founded by serial entrepreneurs from IIT Bombay to change the way we learn. We sell high-quality online courses on a variety of topics, from exam preparation to certifications. 

Role and Responsibilities-

• Dialing 50-80+ calls and counseling students who have enquired about the product/ services.
• Scheduling free demo lectures for the students.
• Doing post demo calls and closing sales.
• Maintaining a pipeline of all sales administration using CRM software.
• Work on targets and under pressure as this is a hardcore sales profile.
• Flexible to work on additional days and hours.

What we offer you-

Fixed Pay-3LPA

Performance based incentives-2 to 3LPA

Total Pay-5 to 6LPA

• Have at least 3 years work experience in Java 8 or higher / J2EE Java development.

• Have experience of agile systems development methodologies such as SCRUM
• Experience in designing the solution and implementation.
• Is a communicative, positive, outgoing and driven team player.
• Solution-oriented, see opportunities and proactively proposing new solutions, speak and write fluently in English.
• Good to have certifications in Java, Spring etc.
• Experience in Java 8.

• Experience in Spring Boot and other spring framework like Spring data, AOP etc.
• Experience in MongoDB/ Kafka / RabbitMQ etc.
• Experience in REST API
• Have worked on microservices
• Should have worked on minimum 2- 3 projects
• Experience in writing effective Unit test case for better coverage.
• Experience in writing good quality code by following code quality tools likes SonarQube etc.