Gen AI Developer at Capgemini · Hyderabad, Bengaluru (Bangalore), Pune, Chennai, Kolkata · 5 - 13 years · ₹15L - ₹40L / yr · Profitable · Posted 11 Sep 2026

We are seeking Generative AI Developers with strong Python programming and AI/ML expertise to build, deploy, and optimize LLM-powered applications. The role involves developing RAG solutions, AI agents, and enterprise GenAI applications while collaborating with cross-functional teams.
Key Responsibilities
- Develop and enhance Generative AI applications using LLMs and AI frameworks.
- Build and optimize RAG pipelines, vector search, and AI-powered workflows.
- Design effective prompts and fine-tune models using techniques such as LoRA and QLoRA.
- Develop REST APIs and integrate AI capabilities into enterprise applications.
- Deploy, monitor, and maintain AI solutions in cloud and containerized environments.
- Ensure code quality through testing, debugging, documentation, and code reviews.
- Follow Responsible AI, security, and data governance practices.
Required Technical Skills
- Strong proficiency in Python, OOP, APIs, debugging, and software development best practices.
- Good understanding of Data Structures & Algorithms, complexity analysis, and problem-solving.
- Hands-on experience with LLMs, Prompt Engineering, RAG, AI Agents, and embeddings.
- Experience with LangChain, LangGraph, LlamaIndex, Hugging Face, or similar frameworks.
- Knowledge of vector databases, semantic/hybrid search, and retrieval architectures.
- Experience with PyTorch, TensorFlow, or Keras.
- Familiarity with Docker, Git, CI/CD, and cloud platforms (Azure/AWS/GCP).
- Understanding of AI governance, data privacy, and Responsible AI principles.
Preferred Skills
- Experience with Agentic AI frameworks (CrewAI, AutoGen, Semantic Kernel).
- Exposure to Azure AI Foundry, Databricks, or enterprise AI platforms.
- Knowledge of multimodal AI applications.
Qualifications
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
- 5 years of software development experience, including AI/ML or Generative AI projects.
- Experience building and deploying production-grade AI solutions.
Assessment Focus Areas
Candidates will be evaluated on:
- Python coding and problem-solving
- Data Structures & Algorithms
- LLMs, RAG, and Agentic AI concepts
- API development and system design
- Cloud deployment and AI solution architecture

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- Application Development
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- Develop and optimize ETL pipelines for structured and unstructured data using data lakes and distributed storage solutions.
- Microservices Architecture
- Build modular, scalable applications using microservices principles for independent deployment and high availability.
- Performance Optimization
- Enhance application performance through load balancing, caching, and query optimization to deliver superior user experiences.
- Security & Compliance
- Apply secure coding practices, implement data encryption, and ensure compliance with industry security and privacy standards (e.g., PCI DSS, GDPR).
- Automation & Deployment
- Utilize CI/CD pipelines, Docker/Kubernetes, and monitoring tools for automated testing, deployment, and production monitoring.
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Requirements
Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Technical Expertise
- 4+ years of hands-on experience with Python frameworks (Django, Flask, FastAPI).
- Proficiency in RESTful APIs, GraphQL, and asynchronous programming.
- Strong knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB) and big data tools (Spark, Kafka).
- Familiarity with Kibana, Grafana, Prometheus for monitoring and visualization.
- Experience with AWS, Azure, or Google Cloud, containerization (Docker, Kubernetes), and CI/CD tools (Jenkins, GitLab CI).
- Working knowledge of testing tools: PyTest, Selenium, SonarQube.
- Experience with API integrations, booking flows, and payment gateway integrations (travel domain knowledge is a plus, but not mandatory).
Soft Skills
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Job Description: Python Backend Developer
Experience: 7-12 years
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Job Overview:
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- Develop and maintain robust backend services and APIs using Python, Django, and Flask.
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- Experience with cloud services like AWS, Azure, or GCP.
- Familiarity with Docker and containerization.
- Knowledge of CI/CD practices.
Why Join Wissen Technology?
- Opportunity to work on innovative projects with a cutting-edge technology stack.
- Competitive compensation and benefits package.
- A supportive environment that fosters professional growth and learning.
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