CGI
AI/ML Backend Developer
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
14 September 2026
What they need
Position Description:
Position: AI/ML Backend Developer (API, Agentic AI RAG, Python)
Experience: 4-7 years
Category: Software Development/ Engineering
Shift: 12:00 PM-9:00 PM
Location: Bangalore/Hyderabad/Chennai/Pune/Mumbai
Position ID: J0926-0492
Employment Type: Full Time
Education Qualification: Bachelors degree in computer science or related field or higher with minimum 3 years of relevant experience.
We are seeking an experienced AI/ML Backend Developer with equal focus on software development to join our dynamic technology team. The ideal candidate will have a strong background in developing and deploying APIs, microservices, Gen AI models, and managing backend systems and integrations. You will play a key role in shaping the future of our technology by integrating cutting-edge AI/ML techniques into scalable backend solutions, including Retrieval-Augmented Generation (RAG) based applications, Agentic workflows using LangGraph, and autonomous Agentic AI systems.
Your future duties and responsibilities:
Develop, optimize, and maintain backend services for AI/ML applications.
Design and implement Retrieval-Augmented Generation (RAG) based applications for intelligent data retrieval and response generation.
Implement and deploy Gen AI and embedding models to production environments.
Monitor and improve the performance, reliability, and scalability of existing AI/ML services.
Design and implement robust data pipelines, RAG pipelines, Agentic Solutions using Langgraph, Langchain etc. and data processing workflows.
Identify and solve performance bottlenecks and optimize AI/ML algorithms for production.
Stay current with emerging AI/ML technologies and frameworks to recommend and implement improvements.
Design, build, and orchestrate multi-agent architectures, tool-calling mechanisms, and autonomous agent workflows for complex problem-solving
Required qualifications to be successful in this role:
Must to have Skills:
Minimum of 4 years of experience developing backend systems, specifically in Gen AI and AI/ML contexts.
Proven hands-on experience designing and deploying Agentic AI systems and multi-agent workflows in production environments.
Deep understanding of agentic concepts, including function calling/tool execution, dynamic task decomposition, multi-agent orchestration (especially using LangGraph), and persistent state management.
Proven experience in deploying machine learning models and RAG-based AI applications in production.
Hands-on experience with vector databases (Pinecone, Weaviate, FAISS) and semantic search implementations.
Proficiency in writing efficient, maintainable, and scalable backend code with Python (essential).
Experience with Backend development frameworks such as FastAPI, Celery, and batches.
Extensive knowledge of GenAI / RAG Frameworks including LangChain, LlamaIndex, and Hugging Face.
Experience working with cloud platforms (AWS, Azure, Google Cloud Platform).
Experience with Containerization and orchestration (Docker, Kubernetes) and deployment.
Experience with Data management and pipeline tools (Apache Kafka, Apache Airflow, Spark).
Experience with SQL databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra).
Proficiency with Machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Familiarity with Version Control (Git) and CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI/CD).
Strong analytical, problem-solving skills, and excellent communication and teamwork abilities.
Good-to-Have Skills:
Front end (full stack) development experience.
Experience with APISIX /API gateways.
Identity providers like KeyCloak.
Skills:
- Agentic AI
- Kubernetes
- Large Language Model (LLM)
- Postgre SQL
- Python
- Retrieval-Augmented Gen.(RAG)
- Cloud Native Development
- Model Context Protocol Servers
That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.
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