Deqode

Key Skills:

• Agentic AI / AI Agents

• Python or Java

• LLMs & Generative AI

• RAG & Vector Databases

• LangChain / LangGraph / AutoGen / CrewAI

• REST APIs & Microservices

• Prompt Engineering

• AI Workflow Automation

Roles & Responsibilities:

• Design and develop AI agents and agentic workflows

• Build scalable backend services using Python or Java

• Integrate LLMs, APIs, tools, and external systems into AI workflows

• Develop RAG-based solutions and intelligent automation

• Design multi-step AI workflows with tool/function calling

• Evaluate, monitor, and optimize AI agent performance

• Collaborate with engineering and product teams to deliver production-ready AI solutions

Key Responsibilities

Administer, monitor, and support database platforms including Couchbase, PostgreSQL, and Oracle.

Perform database performance tuning, optimization, and troubleshooting.

Write and optimize complex SQL queries, stored procedures, and scripts.

Ensure database availability, reliability, backup, recovery, and security compliance.

Support production incidents, root cause analysis, and ongoing operational improvements.

Collaborate with application, infrastructure, and support teams to resolve database-related issues.

Required Skills

5 to 10 years of hands-on experience in Database Administration.

Strong experience with Couchbase, PostgreSQL, and/or Oracle databases.

Expertise in performance tuning, query optimization, indexing, and SQL development (Complex Queries, Stored Procedures, Scripts)

Experience with database monitoring, backup, recovery, and maintenance activities.

Production Support, Troubleshooting & RCA

Strong analytical and troubleshooting skills.

Nice to Have

Experience with cloud platforms such as AWS, Azure, or GCP.

Exposure to database automation and scripting

Required Skills:-

• 4+ years of experience in Software Testing (Manual & Automation).
• Strong experience with Selenium or Playwright.
• Hands-on experience in API Testing (Postman, REST Assured, Swagger, etc.).
• Experience with CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps, GitHub Actions).
• Strong understanding of Functional, Regression, and Non-functional Testing.
• Excellent analytical and debugging skills.

AI-Specific Skills

• Hands-on experience in GenAI / AI Testing.
• Experience testing LLM-based applications.
• Strong understanding of prompt engineering and prompt validation.
• Knowledge of LLM behavior, model variability, and non-deterministic outputs.
• Experience validating AI outputs for accuracy, hallucinations, bias, and safety.
• Test data management for AI applications.
• Understanding of Responsible AI testing concepts.

Description:

Analytical Engineer with strong Data Analyst and Data Modelling expertise required to translate business requirements into structured, analytics-ready datasets. Must have experience in Data Vault 2.0 / dimensional modelling and advanced SQL for data transformation and analysis. Role focuses on data profiling, validation, and delivery of trusted data for reporting and analytics. Experience with Azure/Databricks and enterprise data environments preferred. Strong stakeholder engagement and ability to bridge business and technical data requirements essential.

Must Have Skills

• Data Analysis
• Data Governance
• Data Modeling tool

Nice to Have Skills

• Business writing skills
• Governance, Risk and Controls
• Principles of project management
• Relevant regulatory knowledge
• Relevant software and systems knowledge

Role Overview

As an AI Quality Engineer, you will be the strategic lead for quality within our AI-driven product ecosystem. You will be responsible for validating non-deterministic AI outputs and microservices. You will use tools like Claude Code, Cursor, and Gemini, moving from manual oversight to high-velocity, AI-augmented delivery. You will ensure that our AI products are not only functional but reliable, ethical, and scalable.

Core Responsibilities

• AI-First Test Strategy & Planning: Define and implement the end-to-end test strategy for major AI product areas.
• AI-Augmented Automation: You will adopt Cursor and Claude Code to refactor existing frameworks, develop new frameowrk, migrate legacy framework to modern technologies and automate the creation of test suites.
• Defect Management & Root Cause Analysis: You will perform Root Cause Analysis, submit bugs and ensure their timely resolution.
• Documentation & Reporting: You will document your work and report on quality metrics to stakeholders.

Required Qualifications

• AI Toolchain Mastery: Expert-level experience using AI coding assistants (Claude Code, Cursor) and LLMs (Gemini, GPT-4) to accelerate the SDLC.
• SDLC Experience: Proven track record of product delivery in an Agile environment with a focus on CI/CD (ADO and GitHub Actions).
• Technical Stack: Proficiency in C#, Python or JavaScript and experience with modern testing frameworks (e.g., Selenium, Playwright, Nunit, PyTest).
• Autonomy: Ability to create cases, execute tests manually and automate with minimal oversight.
• Education/Experience: 2-3 years in Quality Engineering with a focus on Web and Mobile Applications testing.

Required Skills:-

• 5+ years of experience in Software Testing (Manual & Automation).
• Strong experience with Selenium or Playwright.
• Hands-on experience in API Testing (Postman, REST Assured, Swagger, etc.).
• Experience with CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps, GitHub Actions).
• Strong understanding of Functional, Regression, and Non-functional Testing.
• Excellent analytical and debugging skills.

AI-Specific Skills

• Hands-on experience in GenAI / AI Testing.
• Experience testing LLM-based applications.
• Strong understanding of prompt engineering and prompt validation.
• Knowledge of LLM behavior, model variability, and non-deterministic outputs.
• Experience validating AI outputs for accuracy, hallucinations, bias, and safety.
• Test data management for AI applications.
• Understanding of Responsible AI testing concepts.

Role Summary

We are seeking a skilled GenAI & Agentic AI Engineer with strong experience in building end‑to‑end AI/ML solutions, Generative AI applications, and agent‑based automation workflows. The ideal candidate will have a solid background in machine learning along with hands‑on expertise in LLMs, RAG, embeddings, vector databases, and Agentic AI frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.

Key Responsibilities

• Build and deploy GenAI applications using LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.).
• Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.
• Design and implement RAG pipelines, vector search solutions, and embedding‑based retrieval systems.
• Build scalable AI services using Python, FastAPI/Flask, and cloud platforms (Azure/AWS/GCP).
• Collaborate with cross‑functional teams to define use cases and convert them into production‑ready GenAI solutions.
• Implement hallucination reduction, prompt‑engineering strategies, and model evaluation methods.
• Integrate LLMs with enterprise applications, APIs, and automation workflows.
• Work with vector databases (FAISS, Pinecone, Chroma, Weaviate) for semantic search.
• Monitor, evaluate, and optimize GenAI models for accuracy, performance, and cost.

Required Skills & Experience

• 5+ years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation.
• 2+ years of hands‑on experience in Generative AI (LLMs, embeddings, RAG, LLM‑based apps).
• 6+ months of hands‑on experience with Agentic AI frameworks (CrewAI / AutoGen / LangGraph / LangChain Agents).
• Strong proficiency in Python and ML libraries (Scikit‑learn, Pandas, NumPy).
• Experience with OpenAI APIs, Azure OpenAI, HuggingFace, and prompt engineering.
• Familiarity with building scalable APIs using FastAPI, Flask, or Django.
• Hands‑on knowledge of cloud services (Azure/AWS/GCP) for AI deployment.
• Strong understanding of REST APIs, microservices, and integration patterns.
• Experience with Git, CI/CD, Docker, and model deployment best practices.

🚀 Hiring: .Net + Reactjs Developer

⭐ Experience: 5+ Years

📍 Location: Gurgaon

⭐ Work Mode:- 5 Days Work from office

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

We're looking for a skilled .NET Core + React.js Developer to join our engineering team.

✅ Required Skills

• Strong hands-on experience with .NET Core (C#).
• Experience developing applications using React.js and modern JavaScript (ES6+).
• Solid knowledge of SQL Server, T-SQL, stored procedures, and query optimization.
• Experience building REST APIs and microservices.
• Understanding of authentication and authorization mechanisms (JWT/OAuth2).
• Familiarity with Git, CI/CD pipelines, and Agile development practices.

⭐ Preferred Skills

• Azure DevOps or GitHub Actions
• Docker & Kubernetes
• Experience working with cloud-based applications is a plus.
• 
  

🎯 Mandatory Skills

• .NET Core (C#)
• React.js
• SQL Server

Why Join Us?

• Work on modern technologies and enterprise-scale applications.
• Collaborative and innovation-driven engineering culture.
• Opportunities to learn, grow, and make an impact.
• Exposure to cloud, DevOps, and microservices architecture.

Job Summary

We are looking for a Senior Backend Engineer with strong experience in Java, Spring Boot, and Microservices architecture. Candidates with server-side Kotlin development experience are highly preferred. Strong software engineering fundamentals, REST API development expertise, and experience building enterprise-scale applications are essential.

The ideal candidate should be passionate about clean code, testing, scalability, and product/platform engineering.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Java and/or Kotlin.
• Build and enhance RESTful APIs and microservices-based applications.
• Develop high-performance, secure, and reliable enterprise applications.
• Participate in system design, architecture discussions, and technical decision-making.
• Write clean, maintainable, and well-tested code following industry best practices.
• Implement and maintain automated unit tests, integration tests, and other testing strategies.
• Collaborate with Product, Engineering, and DevOps teams to deliver high-quality solutions.
• Troubleshoot production issues and optimize application performance.
• Mentor junior developers and contribute to engineering excellence initiatives.

Required Skills

• 6–8+ years of backend development experience.
• Strong proficiency in Java.
• Experience with server-side Kotlin (preferred) or willingness to learn and work extensively in Kotlin.
• Hands-on experience with Spring Boot and Microservices architecture.
• Strong experience developing REST APIs.
• Experience building enterprise-grade applications.
• Good understanding of software design patterns and object-oriented programming principles.
• Strong knowledge of unit testing frameworks such as JUnit, Mockito, or equivalent.
• Experience with Test-Driven Development (TDD) is highly desirable.
• Knowledge of CI/CD pipelines and version control systems such as Git.
• Experience working with relational and/or NoSQL databases.

🚀 Hiring: MERN Stack Developer

⭐ Experience: 3+ Years

📍 Location: Mumbai ( Andheri East)

⭐ Work Mode:- 5 Days Work From Office

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

We are looking for a MERN Stack Developer skilled in MongoDB, Express.js, React.js, and Node.js to build scalable, high-performing web applications.

💫 What We’re Looking For:

✅ Proficiency in React.js, Node.js, Express.js, MongoDB

✅Strong in JavaScript (ES6+), REST APIs, Git

✅Good problem-solving & debugging skills