We are looking for a GenAI Engineer (LLM Engineer) to build and scale LLM-powered SaaS applications with a secure, scalable, and high-performance architecture. In this role, you will be responsible for integrating Large Language Models (LLMs) into production applications, developing intelligent AI workflows, and building solutions that leverage Retrieval-Augmented Generation (RAG), Prompt Engineering, and Vector Databases.

As an AI Integration Engineer, you will work on integrating LLM APIs, designing and optimizing RAG pipelines, managing Vector Databases, and collaborating with product and engineering teams to deliver scalable AI-powered features. You will also ensure application security, monitor performance, optimize latency and cost, and build reliable AI solutions that enhance the overall SaaS platform.

Key Responsibilities

• Integrate LLM APIs to build intelligent automation, parsing, and conversational AI solutions.
• Design and develop Retrieval-Augmented Generation (RAG) Pipelines.
• Create and optimize Prompt Engineering workflows for AI applications.
• Build, manage, and optimize Vector Databases for efficient knowledge retrieval.
• Ensure data security, compliance, and high-performance AI architecture.
• Monitor and optimize AI model quality, latency, and operational cost.
• Collaborate with Product and Engineering teams to deliver scalable AI-powered SaaS features.

Experience Required

• 3+ years of backend development experience using Python, Go, or Node.js.
• Experience building LLM Applications using OpenAI, Claude, or Hugging Face.
• Hands-on experience with LangChain or LlamaIndex.
• Strong understanding of Retrieval-Augmented Generation (RAG).
• Experience with Vector Databases such as Pinecone, Weaviate, or pgvector.
• Experience working with Cloud Platforms (AWS, GCP, or Azure).
• Knowledge of APIs, Microservices, and Prompt Engineering.

Preferred

• Experience in FinTech or SaaS domain.
• Exposure to LLMOps and Model Fine-tuning.

Skills Required

Must Have

• Model Integration.
• Retrieval-Augmented Generation (RAG) Pipelines.
• Vector Database implementation and management.
• Security and Compliance best practices.
• AI Performance Monitoring and Optimization.

Preferred

• CI/CD for AI Applications.
• Observability for AI systems.

Education & Qualification

• B.Tech / BCA or Technical Certification.

Roles and Responsibilities

• Design, build, and maintain scalable backend services for web and mobile applications in a remote environment.
• Develop and evolve application features using established software engineering standards and best practices.
• Collaborate with product owners, architects, QA, and DevOps to deliver reliable releases on time.
• Translate business requirements into technical solutions, including data flow, service boundaries, and API contracts.
• Own the end-to-end lifecycle of backend components: from planning and implementation through testing, deployment, and monitoring.
• Ensure services are secure, performant, and maintainable, aligned with organizational policies and coding guidelines.
• Act as a technical mentor to engineers through reviews, pairing, documentation, and knowledge sharing.
• Identify risks early and propose practical mitigation strategies for performance, reliability, and maintainability.

Required Qualifications

• Demonstrated professional experience delivering production-grade backend systems.
• Strong experience building server-side applications using modern Java-based frameworks.
• Proven ability to design and implement RESTful services and maintain consistent API contracts.
• Hands-on experience with Spring-based development practices and enterprise application patterns.
• Solid understanding of application architecture, layering, dependency management, and modular design.
• Experience integrating backend services with external systems, databases, and messaging or scheduling mechanisms.
• Competence in writing automated tests and ensuring quality through CI-friendly workflows.
• Strong debugging and troubleshooting skills, with the ability to interpret logs, metrics, and traces.
• Excellent communication skills for remote collaboration, including clear updates and documentation.
• Ability to contribute to technical design discussions and provide pragmatic engineering guidance.

Key Responsibilities

• Implement backend features and enhancements while maintaining backward compatibility where required.
• Develop RESTful endpoints, validate input/output, and enforce consistent error handling and response structures.
• Build and maintain service-layer logic, including transaction handling and efficient data access patterns.
• Optimize performance by addressing bottlenecks in code, queries, concurrency, and external calls.
• Collaborate on system design: define APIs, service responsibilities, and integration approaches.
• Ensure security best practices are applied, including safe handling of authentication/authorization concerns.
• Write unit and integration tests, and support test execution in automated pipelines.
• Review pull requests for correctness, readability, maintainability, and adherence to standards.
• Monitor service behavior post-release and troubleshoot production issues with clear root-cause analysis.
• Maintain technical documentation, including API documentation, design notes, and operational guidance.
• Continuously improve engineering practices by suggesting refactors, patterns, and tooling enhancements.

Job Title: AI/ML Engineer

Location: Surat, Gujarat

Employment Type: Full-Time

Experience: 1–3 Years

About the Role

We are looking for a skilled AI/ML Engineer to design, develop, and deploy scalable, production-ready AI and Machine Learning solutions. The ideal candidate should have hands-on experience in Machine Learning, Deep Learning, Predictive Analytics, and modern AI technologies.

Key Responsibilities

• Develop, train, evaluate, and deploy Machine Learning and Deep Learning models.
• Build solutions for prediction, forecasting, classification, clustering, recommendation systems, and anomaly detection.
• Develop AI applications using LLMs, RAG, embeddings, LangChain, and vector databases.
• Perform data preprocessing, feature engineering, model evaluation, and performance optimization.
• Build and maintain AI/ML pipelines and integrate models with applications through APIs.
• Collaborate with product and engineering teams to develop AI-driven features.
• Monitor and improve deployed models and maintain relevant technical documentation.

Required Skills

• 1–3 years of experience in AI, Machine Learning, or Deep Learning.
• Strong knowledge of Python and AI/ML frameworks.
• Experience with data preprocessing, model training, evaluation, and deployment.
• Understanding of predictive analytics and modern AI application development.
• Familiarity with APIs and integrating ML models into applications.

Preferred Skills

• Experience with LLMs, RAG, LangChain, embeddings, and vector databases such as Pinecone, Milvus, Weaviate, Chroma, or FAISS.
• Knowledge of MLOps, Docker, Kubernetes, CI/CD, and cloud platforms such as AWS, Azure, or GCP.
• Experience or knowledge of Trading, FinTech, Wealth Management, Banking, or Financial Services is an advantage.
• Experience with time-series forecasting, financial datasets, market data, or predictive analytics is preferred.

Test Materialisation & Execution Engineer

Location: Bangalore (On-site/Hybrid)

Experience: 5–10 Years

About the Role

We are looking for a skilled Test Materialisation & Execution Engineer to design, build, and enhance testing infrastructure that enables reliable and efficient software validation. The role involves working on test frameworks, execution environments, automation systems, and developer tooling to improve software quality at scale.

The ideal candidate is a strong problem solver with hands-on experience in testing ecosystems, build systems, and scalable execution environments. You should be comfortable working with complex codebases and building solutions that help engineering teams ship reliable software faster.

Key Responsibilities

• Design and develop test execution frameworks and automation solutions.
• Build and maintain systems for test discovery, execution, reporting, and validation.
• Work with test runners, build systems, and development ecosystems to improve testing workflows.
• Develop scalable and reliable execution environments using sandboxed or containerized technologies.
• Integrate testing solutions with CI/CD pipelines and engineering workflows.
• Analyze test performance, reliability, and effectiveness to improve developer productivity.
• Work with engineering teams to identify and resolve flaky tests and improve test coverage.
• Build tools that enable safe execution of generated or untrusted code at scale.

Must Have Skills

• Hands-on experience with test frameworks and runners in at least one major programming ecosystem (Java, .NET, or similar).
• Strong understanding of build systems and software execution environments.
• Experience with sandboxed or containerized execution approaches.
• Strong programming skills in Python and/or TypeScript.
• Experience designing and implementing automation solutions.
• Ability to understand complex software systems and deliver production-ready solutions.

Good to Have

• Experience with CI/CD pipeline internals.
• Knowledge of code coverage tools and test analytics.
• Experience with flaky test detection and mitigation strategies.
• Exposure to test-impact analysis techniques.
• Experience safely executing untrusted, generated, or dynamically created code.
• Experience building developer tools or engineering productivity platforms.

What We Look For

• Strong ownership mindset and ability to deliver end-to-end solutions.
• Fast learner who can quickly understand unfamiliar codebases and technologies.
• Passion for improving developer productivity and software quality.
• Ability to solve complex technical challenges with minimal supervision.

Work Location

Bangalore – On-site / Hybrid

Experience Required: Minimum 8 Years

About the Role:

Key Responsibilities

• Design and manage organization-wide MIS reports, dashboards, and executive reports.
• Develop automated reporting solutions using Python, VBA Macros, Power Query, and Advanced Excel.
• Analyze large datasets and provide business insights to leadership.

Eligibility Criteria

• 5+ years of experience in Business Intelligence, MIS, Business Analytics, or Data Analytics.
• Strong analytical and logical thinking with the ability to understand business requirements and convert data into meaningful business insights.
• Experience in developing dashboards and management reports using any Business Intelligence tool (Power BI, Tableau, Zoho Analytics, etc.).

Apply Now:

https://zfrmz.com/pAKb2ynfomIsuNwRfRbV?utm_source=prolegion