Generative AI Engineer

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

Job summary

Creative Synergies Group is seeking a talented Generative AI Developer to join our innovative AI/ML team in Bengaluru, India. This role focuses on developing and optimizing applications using cutting-edge Generative AI technologies to solve real-world problems and drive innovation.

The ideal candidate will have 3-5 years of software development experience with a minimum of 2 years in Generative AI, including RAG techniques and data management. Strong Python skills are essential, along with familiarity with various AI/ML tools and platforms.

Qualifications

• 3 to 5 years of overall experience in software development, with at least 3 years focused on AI/ML.
• Minimum 2 years of experience specifically in Generative AI technologies.
• Proven ability to thrive in a collaborative, fast-paced, and innovative environment.

Responsibilities

• Design, develop, and deploy GenAI-driven applications for industrial challenges.
• Implement RAG and create optimized document chunking strategies.
• Collaborate with cross-functional teams for seamless AI implementation.
• Stay updated with trends in GenAI and AI/ML to ensure cutting-edge solutions.

Skills

Generative AI technologies

Python

Retrieval-Augmented Generation (RAG)

PySpark

SQL

Data embedding techniques

Tools

TensorFlow

PyTorch

Hugging Face Transformers

API integration

Job description

We are looking for a talented 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 and solve real‑world problems. You will be responsible for developing and optimizing GenAI‑based applications, implementing advanced techniques like Retrieval‑Augmented Generation (RAG), Retrieval Interleaved Generation (RIG), Agentic Frameworks, and vector databases. This is a collaborative role where you will work directly with customers’ 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

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.

3 to 5 years of overall experience in software development, with 3 years focused on AI/ML.

Minimum 2 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 stack 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.
• 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.