Gen AI Developer

Creative Synergies Group; Bengaluru; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A dynamic technology firm in Bengaluru is seeking a Senior Generative AI Developer to join their AI/ML team. This role involves designing and optimizing applications using cutting-edge Generative AI technologies. The ideal candidate has 5-8 years of software development experience, with a focus on AI/ML and Generative AI technologies. Key responsibilities include application development and collaborating with cross-functional teams. Strong programming skills in Python and experience with AI/ML libraries are essential for this position.

Qualifications

• 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.
• Proven ability to work in a collaborative, fast-paced, and innovative environment.

Responsibilities

• Design, develop, and deploy GenAI-driven applications.
• Implement Retrieval-Augmented Generation (RAG) and Agentic frameworks.
• Collaborate with cross-functional teams to ensure seamless AI implementation.

Skills

Generative AI frameworks expertise

Python

AI/ML libraries (TensorFlow, PyTorch, Hugging Face)

Experience with vector databases

Retrieval-Augmented Generation (RAG)

Education

Certification in AI/ML (e.g., TensorFlow, AWS Certified Machine Learning – Specialty)

Certification or coursework in Generative AI or related technologies

Tools

Pinecone

ChromaDB

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.
• Work closely with data engineers and scientists to integrate AI solutions into existing pipelines.
• Collaborate with cross-functional teams to ensure seamless AI implementation.
• Explore and implement best practices for utilizing cloud-native AI platforms, such as Amazon Bedrock and Azure OpenAI, to enhance solution delivery.
• 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

• 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

• 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.
• 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.