Associate Software Engineer

Tredence; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Tredence in Bangalore is seeking an AI Engineer to design, build, and deploy production-grade AI/ML and generative AI solutions. You will work at the intersection of software engineering and machine learning to bring intelligent applications to life.

Based in Bangalore with a hybrid model (4 days in office), the role focuses on scalable models, MLOps, and collaboration with data engineers and scientists to deliver real-world impact.

Qualifications

• Bachelor's or Master's in CS/AI/ML required.
• 3–5 years of AI/ML or software engineering experience with ML.
• Experience deploying ML models to production.
• Experience with LLMs, embeddings and vector databases.

Responsibilities

• Design and implement ML and generative AI solutions for business problems.
• Build, fine-tune, and evaluate models; integrate with LLMs.
• Develop scalable APIs and services for production use.
• Implement RAG pipelines, prompts, and agentic workflows where appropriate.
• Collaborate with data engineers and scientists on data pipelines.

Skills

Python

ML frameworks

LLMs & embeddings

APIs & CI/CD

Cloud services

MLOps

Education

Bachelor's or Master's in CS/AI/ML

Tools

Docker

Kubernetes

Git

Pinecone/FAISS/Weaviate

Job description

AI Engineer

Department

Studio

Location

Bangalore -- Hybrid (4 days/week in office)

Experience Required

3-5 years (Mid-Level)

Employment Type

Full-time

Role Summary

We are looking for an AI Engineer to design, build, and deploy production-grade AI/ML and generative AI solutions. You will work at the intersection of software engineering and machine learning to bring intelligent applications to life.

Key Responsibilities

• Design and implement machine learning and generative AI solutions to solve real-world business problems.
• Build, fine-tune, and evaluate models, including integration with large language models (LLMs) and foundation models.
• Develop scalable APIs and services to serve AI models in production environments.
• Implement retrieval-augmented generation (RAG) pipelines, prompt engineering, and agentic workflows where applicable.
• Collaborate with data engineers and data scientists to ensure high-quality data pipelines for training and inference.
• Establish MLOps/LLMOps practices for model versioning, monitoring, and continuous improvement.
• Optimize model performance, latency, and cost in production deployments.
• Stay current with emerging AI/ML tools, frameworks, and research to drive innovation.

Required Skills & Qualifications

• 3-5 years of experience in AI/ML engineering or software engineering with a strong ML component.
• Strong proficiency in Python and experience with ML/AI frameworks (PyTorch, TensorFlow, Hugging Face).
• Hands-on experience building and deploying machine learning models in production.
• Experience working with LLMs, embeddings, and vector databases (e.g., Pinecone, FAISS, Weaviate).
• Solid understanding of software engineering principles: APIs, version control, testing, and CI/CD.
• Experience with cloud AI/ML services (Azure OpenAI, AWS Bedrock/SageMaker, GCP Vertex AI).
• Strong problem-solving skills and ability to work in a fast-paced, evolving environment.

Preferred Qualifications (Good to Have)

• Experience with agentic frameworks (LangChain, LlamaIndex, or similar).
• Exposure to fine-tuning and optimizing open-source LLMs.
• Experience with containerization and orchestration (Docker, Kubernetes) for model deployment.
• Contributions to open-source AI/ML projects or published research.

Education

Bachelor's or Master's degree in Computer Science, AI/ML, or a related field.