AI Engineer - LLM
Skills
About the role
This is a full-time AI Engineer role for a software professional with at least five years of experience, based in Bangalore. You will build production LLM and generative AI systems, including RAG applications and services that search large enterprise knowledge bases. The position sits at the intersection of software engineering, NLP, retrieval, agentic workflows, and financial-services technology.
What you’ll do
- Build AI applications that address business problems.
- Design production-grade RAG and LLM application architectures.
- Develop reusable AI services and production-ready applications.
- Work on retrieval accuracy, scale, relevance, and performance.
- Contribute to technical architecture and solution ownership.
- Collaborate with engineers and AI specialists on enterprise implementations.
What they’re looking for
- At least five years of professional software engineering experience.
- Approximately three or more years with machine learning, NLP, or related AI technologies.
- At least one and a half years building LLM or generative AI applications.
- Production-quality Python programming skills.
- Experience designing scalable software systems.
- Experience building or contributing to production RAG systems.
- Knowledge of prompt engineering, context engineering, embeddings, inference optimization, and response evaluation.
- Experience with document ingestion, chunking, vector search, semantic retrieval, and relevance evaluation.
Nice to have
- Agentic AI or autonomous workflow experience.
- Tool-based reasoning and AI orchestration.
- LangChain, Google ADK, LangGraph, or comparable frameworks.
- PyTorch or TensorFlow.
- MLOps, Kubernetes, cloud-native deployment, and production AI monitoring.
- Enterprise search or large-scale document processing.
- Financial services, banking, BFSI, or capital-markets experience.
- Experience in complex or regulated enterprise environments.
What’s on offer
- Full-time employment in Bangalore.
- The role offers exposure to advanced LLM technologies, enterprise knowledge systems, agent architectures, and production AI services.
- The posting does not state salary, work mode, visa sponsorship, or relocation support.
Questions about this role
How much experience is required?
The posting asks for at least five years in software engineering, about three years in ML or NLP, and at least one and a half years building LLM or generative AI applications.
What kind of AI systems will this role build?
The role covers production LLM applications, RAG systems, enterprise search, reusable AI services, and agentic workflows.
Which programming language is required?
Production-grade Python experience is required.
Is financial-services experience required?
It is listed as a preferred background, not a stated requirement.
Related roles
Solutions Engineer AI Engineer
Remote solutions engineering role in India for building conversational voice and video AI applications in life sciences. The role suits engineers with at least three years of Python, API, LLM, or AI solutions experience.
AI Engineer – Generative AI
Onsite AI Engineer role in Hyderabad, Ahmedabad, or Indore building generative-AI and agentic systems. The position suits an engineer with at least six years of experience across LLMs, RAG, Python, and cloud deployment.
Senior AI-Native Engineer
Senior hybrid AI engineering role in Gurgaon for an engineer with five or more years of experience and production AI/ML background. You'll design agentic applications, evaluation frameworks, and monitored AI capabilities end to end.
Senior AI-ML Engineer
A senior AI/ML engineering role at Ericsson in Bengaluru, building GenAI and machine learning capabilities across products and developer tooling.
Principal Engineer - Gen AI, LLM, RAG, Agentic AI
A principal engineering role at Wells Fargo in Bengaluru focused on GenAI, RAG and agentic AI architecture, evaluation and governance. Suited to a senior technical leader with deep GenAI stack and AI security expertise.
IN_Senior Associate_Azure AI/ML/Agentic AI Engineer_GCC_Advisory_Bangalore
An on-site Bengaluru role building agentic AI and RAG applications on the Azure AI stack at PwC's Advisory GCC. Suited to a Python engineer with 4-8 years of experience in Azure AI and agentic frameworks.