hsr layout bengaluru karnataka ai developer Jobs – 4369 Open Jobs Today

Gen AI Developer
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- Full-time
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Accenture —Bengaluru, Karnataka
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Acuity Knowledge Partners —Bengaluru, Karnataka
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Gen AI Developer

Creative Synergies Group -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

TensorFlow
Azure
Law
Master's degree
Databases
SQL
AWS
Bachelor's degree
Machine learning
Data management
Software development
APIs
B.E.
AI
Python

Full job description

Role

Gen AI Developer

Experience

5-8 Years

Educational Qualification

B.E / B. Tech, M.E/ M. Tech

Location

Bangalore

Technical Competencies

Gen AI, AI/ML, RAG, LLM

Job Description:

We are looking for a talented Senior Generative AI Developer to join our dynamic AI/ML team. This position offers an exciting opportunity to leverage cutting-edge Generative AI (GenAI) technologies to drive innovation to solve real world problems. You will be responsible for developing and optimizing GenAI-based applications, implementing advanced techniques like Retrieval-Augmented Generation (RAG), RIG (Retrieval Interleaved Generation), Agentic Frameworks and vector databases. This is a collaborative role where you will work directly with customer’s cross-functional teams to design, implement, and optimize AI-driven solutions. Exposure to cloud-native AI platforms such as Amazon Bedrock and Microsoft Azure OpenAI is highly desirable.

Key Responsibilities

Generative AI Application Development:
Design, develop, and deploy GenAI-driven applications to address complex industrial challenges.
Implement Retrieval-Augmented Generation (RAG) and Agentic frameworks

Data Management & Optimization:

Design and optimize document chunking strategies tailored to specific datasets and use cases.
Build, manage, and optimize data embeddings for high-performance similarity searches across vector databases.

Collaboration & Integration:

Work closely with data engineers and scientists to integrate AI solutions into existing pipelines.
Collaborate with cross-functional teams to ensure seamless AI implementation.

Cloud & AI Platform Utilization:

Explore and implement best practices for utilizing cloud-native AI platforms, such as Amazon Bedrock and Azure OpenAI, to enhance solution delivery.
Continuous Learning & Innovation:
Stay updated with the latest trends and emerging technologies in the GenAI and AI/ML fields, ensuring our solutions remain cutting-edge.

About the Candidate

The ideal candidate will have strong experience in Generative AI technologies, particularly in the areas of RAG, document chunking, and vector database management. They will be able to quickly adapt to evolving AI frameworks and leverage cloud-native platforms to create efficient, scalable solutions. You will be working in a fast-paced and collaborative environment, where innovation and the ability to learn and grow are key to success.

5 to 8 years of overall experience in software development, with at least 4 to 6 years focused on AI/ML.
Minimum 2 to 3 years of experience specifically working with Generative AI (GenAI) technologies.
Python, PySpark and SQL knowledge is necessary for tasks
Proven ability to work in a collaborative, fast-paced, and innovative environment.

Technical Skills:

Generative AI Frameworks & Technologies:
Expertise in Generative AI frameworks, including prompt engineering, fine-tuning, and few-shot learning.
Familiarity with frameworks such as T5 (Text-to-Text Transfer Transformation), LangChain, Lang Graph, Open-source tech stalk Ollama, Mixtral, DeepSeek.
Strong knowledge of Retrieval-Augmented Generation (RAG) for combining LLMs with external data retrieval systems.

Data Management:

Experience in designing chunking strategies for different datasets.
Expertise in data embedding techniques and experience with vector databases like Pinecone, ChromaDB etc
Programming & AI/ML Libraries:
Strong programming skills in Python.
Experience with AI/ML libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.

Cloud Platforms & Integration:

Familiarity with cloud services for AI/ML workloads (AWS, Azure).
Experience with API integration for AI services and building scalable applications.
Certifications (Optional but Desirable):
Certification in AI/ML (e.g., TensorFlow, AWS Certified Machine Learning – Specialty).
Certification or coursework in Generative AI or related technologies.

Job Features

Job Category

Digital Technologies

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