Job Title: AI Engineer
Location: Bangalore
Experience: 7-12 years (7-9 for AM) & (9.5-12 for Manager)
Notice: 0-15 Days
Qualification required: BCA, BSC, MCA, B.Tech, M.Tech, BE.
Role Summary
An AI Engineer designs, develops, and deploys AI models and solutions, including Generative AI applications, to solve real-world business problems. This role involves hands-on coding, model training, and integration into production systems.
________________________________________
Key Responsibilities
- Design, build, and fine-tune machine learning, deep learning, and Generative AI models for real-world use cases.
- Develop Agentic AI systems using frameworks such as ADK, LangGraph, or equivalent for orchestration and reasoning.
- Build solutions leveraging LLMs, RAG pipelines, embeddings, and vector databases.
- Design and implement AI systems for text, structured/unstructured data, and conversational use cases.
- Apply core NLP techniques including classification, summarization, entity recognition, and semantic search.
- Develop scalable algorithms for search, retrieval, and real-time inference.
- Build and integrate AI microservices into enterprise systems using APIs, event-driven architectures, and cloud services.
- Deploy and operate AI workloads using Docker, Kubernetes, and managed cloud AI platforms (Azure ML, AWS SageMaker, GCP Vertex AI).
- Optimize solutions for performance, cost, latency, and security.
- Collect, preprocess, and manage large datasets for fine-tuning and inference.
- Continuously monitor and optimize models and prompts for accuracy, scalability, and efficiency.
- Partner with Solution Architects and business teams to translate requirements into production-ready AI solutions.
- Champion Responsible AI practices, including fairness, bias mitigation, and compliance.
________________________________________
Required Skills
- Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch).
- Strong understanding of Generative AI concepts (transformers, embeddings, fine-tuning).
- Experience with Agentic AI frameworks (ADK, LangGraph, AutoGen).
- Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment.
- Knowledge of prompt engineering, vector databases (Pinecone, Weaviate), and retrieval-augmented generation (RAG).
- Hands-on with cloud-native AI deployments (Azure, AWS, GCP).
- Familiarity with API-driven design, microservices, and event-driven architectures.
________________________________________
Qualifications
- Bachelor’s/Master’s in Computer Science, AI, Data Science, or related field.
- 3–9 years of experience in AI/ML development and deployment.
- Hands-on experience with LLMs and Generative AI applications.
Pay: ₹2,900,000.00 - ₹4,000,000.00 per year
Benefits:
- Cell phone reimbursement
- Commuter assistance
- Health insurance
- Internet reimbursement
- Leave encashment
- Life insurance
- Paid sick time
- Paid time off
- Provident Fund
Application Question(s):
- Are you currently living/ working in Bengaluru? Only need candidates from Bengaluru
- Have you previously applied for this role at KPMG Bangalore, directly or through a consultant/vendor?
- For how many years have you built and deployed models using Python with TensorFlow or PyTorch in production systems? (minimum 7 years)
- Can you describe a Generative AI or LLM application you personally developed and deployed (not just POCs)?
- Have you worked with Agentic AI frameworks such as ADK, LangGraph, or AutoGen for orchestration and reasoning?
- Have you deployed AI workloads using Docker/Kubernetes on cloud platforms like Azure ML, AWS SageMaker, or GCP Vertex AI?
- Have you implemented Retrieval-Augmented Generation (RAG) pipelines using vector databases such as Pinecone or Weaviate?
- Can you share an example where you applied Responsible AI practices (fairness, bias mitigation, compliance) in a project?
- We only need generic information for all answers, nothing that impacts your NDA
- In how many days can you join? 0-15 days preferred
- What is your CCTC?
- What is your ECTC (Asst Manager budget is 29 LPA, 7 to 9 years experience) and (Manager budget 40 LPA 9.5 to 12 years experience)
Work Location: In person
