AI/ML Engineer
2 days ago
AI/ML Engineer (LLMs, NLP, RAG)
Location:
Bangalore (Full-Time, Hybrid)
Experience:
3–5 Years
About the Role
We are building an
AI-driven Copilot for Hardware Engineering
that combines semantic search, retrieval-augmented generation (RAG), and multi-model orchestration to deliver intelligent, context-aware assistance.
As an AI/ML Engineer, you will be at the core of this platform, working on
LLM integration, NLP pipelines, semantic embeddings, and RAG systems
. You will design and optimize AI workflows that make engineering knowledge instantly accessible and actionable.
Key Responsibilities
- Implement semantic search using embeddings and vector databases.
- Develop RAG pipelines for contextual knowledge retrieval and AI responses.
- Design and train lightweight intent/domain detection classifiers.
- Experiment with AI model orchestration strategies (multi-model routing, fallback, optimization).
- Benchmark and optimize model performance across accuracy, latency, and cost.
- Collaborate with backend, data, and full stack teams to integrate AI features into production.
- Continuously improve AI routing, response quality, and retrieval accuracy.
Required Skills & Qualifications
- 3–5 years of experience in AI/ML or applied NLP.
- Strong programming skills in Python and ML frameworks.
- Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar).
- Experience with embeddings and vector databases.
- Solid understanding of RAG pipelines and semantic search systems.
- Familiarity with classification models (intent, domain detection).
- Knowledge of API integration, microservices, and containerized environments.
- Strong problem-solving and cross-functional collaboration skills.
Preferred (Good to Have)
- Experience with multi-model orchestration tools.
- Familiarity with knowledge ingestion pipelines (PDFs, APIs, technical documents).
- Exposure to hardware/software engineering domains.
- Experience with MLOps for deployment and monitoring.
Why Join Us?
- Work on
cutting-edge AI systems
(LLMs, RAG, semantic search, orchestration). - Be part of building a
first-of-its-kind AI Copilot for engineering
. - Collaborate with a team of passionate engineers across domains.
- Competitive compensation and growth opportunities in Bangalore's deep-tech ecosystem.
-
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