About the Role

We’re building AI solutions that solve real enterprise problems — not demos, not proofs-of-concept that die in a slide deck, but production systems that ship and scale. We’re looking for an AI Engineer ready to take true ownership: from framing a business problem, through designing and building the solution, to seeing it adopted by real users.

You’ll design, develop, and deploy AI-powered applications using Generative AI, LLMs, agentic frameworks, and modern data infrastructure. You’ll partner with cross-functional teams to turn complex business challenges into working software — and continuously push on performance, reliability, and user experience.

What You’ll Do

Build

- Design, develop, and deploy AI-powered applications for real-world business problems using Python and modern AI frameworks
- Build applications leveraging Generative AI, LLMs, NLP, and AI agents — including multi-step and tool-using agentic workflows
- Design and implement RAG (Retrieval-Augmented Generation) pipelines, including chunking, embedding, and vector database strategies
- Integrate pre-trained and foundation models (via APIs or self-hosted) into production applications

Productionize
- Develop and integrate REST APIs and microservices around AI capabilities
- Evaluate, optimize, and monitor AI systems — accuracy, latency, cost, and safety — against business requirements
- Apply prompt engineering, guardrails, and evaluation frameworks to make LLM behavior reliable and auditable
- Follow strong engineering practices: system design, CI/CD, testing, and Git workflows

Deliver
- Drive end-to-end delivery of AI solutions — on time,



within scope, and aligned to expected outcomes
- Lead stakeholder engagement, change management, and user adoption to maximize business value
- Continuously explore recent models, frameworks, and patterns; bring back what’s worth adopting

Basic Qualifications

- Education: B.E. / B.Tech / M.Sc. / M.E. / M.Tech in Computer Science, Engineering, or a related field
- Experience: 3+ years in AI/ML engineering, with at least 1 year building LLM/GenAI applications

Must-Have Skills

- Strong programming skills in Python; working proficiency in TypeScript/JavaScript
- Hands-on experience with LLM APIs and foundation models (OpenAI, Anthropic, Gemini, or open-weight models)
- Experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, Hugging Face, or similar
- Strong understanding of RAG, embeddings, vector databases, prompt engineering, and AI agents
- Experience with SQL and NoSQL databases
- Solid grasp of API design, microservices, CI/CD pipelines, and Git workflows
- Familiarity with at least one cloud platform (AWS, Azure, or GCP) and containerization with Docker
- Strong communication and stakeholder management skills — able to work effectively across business and technical teams

Nice-to-Have Skills

- Model fine-tuning and evaluation (LoRA/PEFT, evals frameworks)
- Kubernetes and infrastructure-as-code
- MLOps / LLMOps tooling (experiment tracking, model registries, observability)
- Data engineering on modern platforms (Databricks, Snowflake, or equivalent)
- C++ or other systems-level programming experience
- Exposure to responsible AI practices: guardrails, red-teaming, PII handling

📌 Artificial Intelligence Engineer (Bengaluru)
🏢 Networth
📍 Bengaluru