Job highlights

- The candidate should be capable of driving AI architecture,solving complex engineering challenges,mentoring technical teams,and delivering scalable,production-ready AI solutions. Disclaimer: This job posting has been aggregated from external source
- Required Skills Qualifications
- Preferred Qualifications
- Experience: 10-14 Years

- Principal Engineer - AI/ML Position: Principal Engineer - AI/ML

Experience: 10-14 Years

About the Role

We are looking for an experienced Principal Engineer - AI/ML to lead the design, development, and implementation of advanced Artificial Intelligence and Machine Learning solutions. The role requires deep technical expertise in AI/ML engineering, Generative AI, Large Language Models (LLMs), and scalable machine learning architectures.

The incumbent will drive AI innovation, establish technical direction, build production-ready AI solutions, and work closely with engineering, product, and business teams to deliver intelligent, scalable, and high-performance applications.

Key Responsibilities

- Lead the architecture, design, and development of enterprise-grade AI/ML solutions.
- Design, develop, and deploy machine learning models for real-world business applications.
- Drive Generative AI initiatives, including LLM-based applications, AI agents, and Retrieval-Augmented Generation (RAG) solutions.
- Develop scalable AI/ML pipelines covering data preparation, model training, evaluation, deployment, and monitoring.
- Design and implement production-grade AI systems with a focus on scalability, reliability, performance, and security.
- Work on fine-tuning, prompt engineering, model optimization, and evaluation of LLMs.




- Build and integrate AI capabilities into existing applications, platforms, and enterprise systems.
- Establish best practices for MLOps, model lifecycle management, CI/CD, and continuous model monitoring.
- Evaluate emerging AI/ML frameworks, tools, and technologies to drive innovation.
- Collaborate with data scientists, software engineers, architects, and product stakeholders to translate business requirements into technical solutions.
- Provide technical leadership and mentorship to AI/ML engineers and development teams.
- Drive code quality, architectural standards, technical reviews, and engineering excellence.
- Ensure responsible AI practices, data privacy, model governance, and ethical AI implementation.

Required Skills Qualifications
- 10-14 years of experience in software engineering, AI/ML engineering, or related technology domains.
- Strong programming expertise in Python and experience with AI/ML frameworks.
- Hands-on experience with Machine Learning, Deep Learning, and Neural Networks.
- Strong understanding of Generative AI, LLMs, Transformers, and foundation models.
- Experience building RAG pipelines, vector databases, embeddings, and semantic search solutions.
- Hands-on experience with frameworks such as LangChain, LlamaIndex, Hugging Face,



or similar technologies.
- Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Strong knowledge of NLP, model training, fine-tuning, and model evaluation techniques.
- Experience deploying and scaling AI/ML models in production environments.
- Knowledge of cloud platforms such as AWS, Azure, or GCP.
- Experience with Docker, Kubernetes, APIs, microservices, and CI/CD pipelines.
- Understanding of MLOps, model monitoring, and AI system performance optimization.
- Solid problem-solving, analytical, and technical leadership skills.

Preferred Qualifications
- Experience developing autonomous AI agents and agentic workflows.
- Exposure to multi-agent systems and tool-calling architectures.
- Experience with vector databases such as Pinecone, Milvus, Weaviate, or FAISS.
- Knowledge of GPU-based model deployment and inference optimization.
- Experience with LLM observability, guardrails, and responsible AI frameworks.
- Experience building enterprise-scale AI products and platforms.

Ideal Candidate A technically strong AI/ML leader with deep hands-on expertise in machine learning, Generative AI, and LLM-based applications. The candidate should be capable of driving AI architecture, solving complex engineering challenges, mentoring technical teams, and delivering scalable, production-ready AI solutions. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Principal Engineer _ AI / ML (Bengaluru)
🏢 Mancer Consulting Services
📍 Bengaluru