Job Title: Senior AI Engineer – LLMs | Agentic AI | RAG
Location: Bengaluru (Work from Office)
Employment Type: Full-Time
Industry: Artificial Intelligence | Enterprise SaaS | Product Development
About the Role
We are hiring on behalf of a fast-growing AI startup that is building next-generation enterprise AI solutions powered by Large Language Models (LLMs) and Agentic AI. This role offers the opportunity to work on cutting-edge AI systems that automate business workflows, integrate with enterprise applications, and solve complex real-world challenges.
As a Senior AI Engineer, you will play a key role in designing, developing, and deploying scalable AI applications while working closely with product, engineering, and leadership teams.
Key Responsibilities
- Design, build, and deploy production-grade AI applications using Large Language Models (LLMs).
- Develop intelligent AI Agents and Multi-Agent Systems for enterprise use cases.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings.
- Design AI workflows using frameworks such as LangChain, LangGraph, and other agent orchestration platforms.
- Integrate AI solutions with enterprise systems, APIs, CRMs, and internal platforms.
- Engineer scalable prompt management, context handling, and AI evaluation pipelines.
- Optimize AI applications for performance, reliability, safety, and latency.
- Collaborate with Product, Engineering, and Design teams to identify high-impact AI opportunities.
- Monitor, evaluate, and continuously improve deployed AI systems.
- Follow best practices for MLOps, LLMOps, CI/CD, and production deployments.
Required Skills & Qualifications
- Bachelor's degree in Computer Science, Artificial Intelligence, or a related technical field.
- 8+ years of overall experience in Artificial Intelligence, Machine Learning, NLP, or Generative AI.
- Strong programming experience in Python .
- Hands-on experience with Large Language Models such as OpenAI GPT, Claude, Llama, or similar .
- Expertise in Retrieval-Augmented Generation (RAG) architectures.
- Experience with Vector Databases such as Pinecone, ChromaDB, Weaviate, or FAISS.
- Strong experience with LangChain, LangGraph , or similar AI orchestration frameworks.
- Experience building Agentic AI and Multi-Agent Systems .
- Knowledge of prompt engineering, model evaluation, embeddings, and AI safety.
- Experience integrating enterprise APIs and third-party systems.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Understanding of MLOps/LLMOps, Docker, Kubernetes, CI/CD, and monitoring tools.
- Excellent communication and problem-solving skills.
Preferred Qualifications
- Experience working with enterprise AI products.
- Exposure to frameworks such as Temporal, n8n, CrewAI, AutoGen, or similar orchestration tools.
- Experience building production-scale AI systems serving enterprise customers.
- Familiarity with AI evaluation frameworks such as RAGAS, Giskard, DeepEval, or LangSmith.
- Startup experience is highly preferred.
Candidate Profile
We are specifically looking for candidates who:
- Have experience in AI-first companies, Generative AI companies, or Product-based organizations .
- Are passionate about building production-ready AI products.
- Are comfortable working in a fast-paced startup environment .
- Thrive in high-ownership roles and enjoy solving complex engineering problems.
- Have a strong product mindset and can collaborate effectively with cross-functional teams.
Why Join?
- Work on cutting-edge Agentic AI and enterprise AI products.
- Opportunity to build AI solutions used by global enterprises.
- High ownership and direct impact on product development.
- Collaborative engineering culture with strong learning opportunities.
- Competitive compensation and excellent career growth
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