AI/ML Engineer – GenAI & LLM Applications role in Bangalore (Hybrid). The company is a digital engineering firm founded in 2020, specializing in AI-driven digital transformation for large enterprises.

Company: Recrew

Role: AI/ML Engineer – GenAI & LLM Applications

Location: Bangalore (Hybrid)

Experience:

5+ years of Python engineering experience with production REST API development
2+ years of hands-on LLM application development using LangChain, LlamaIndex, or LangGraph

Key Skills:

Python
REST API
LLM application development
LangChain
LlamaIndex
LangGraph
RAG pipelines
Pinecone
Milvus
Qdrant
ChromaDB
FastAPI
Flask
LoRA/QLoRA
Hugging Face Transformers
PyTorch
Docker
Kubernetes
vLLM
AWS Bedrock
Google Vertex AI
LangSmith
Weights & Biases
Arize Phoenix

Role Focus:

Embed with client product and engineering teams to architect and ship production-grade LLM-powered features end-to-end
Build and optimize RAG pipelines with advanced chunking strategies, hybrid search, re-ranking, and vector database management
Develop multi-agent systems and autonomous workflows with tool use, self-correction, and complex task execution
Fine-tune open-source LLMs using LoRA/QLoRA and implement 4-bit/8-bit quantization for cost-effective client deployment
Set up and maintain production AI infrastructure including vLLM-based model serving, containerized deployments via Docker/Kubernetes, and continuous evaluation pipelines
Implement AI safety and guardrail layers to mitigate hallucinations, enforce PII data protection, and monitor token usage and inference costs within client environments
Transform raw, unstructured client data into high-value AI features in close collaboration with client-side Data Engineering and Product teams

Nice to have:

Prior experience working in a client-facing or consulting delivery model where AI solutions were scoped, built, and handed off to enterprise clients
Experience building multi-agent systems using CrewAI, AutoGPT, or custom function-calling/tool-use architectures
Familiarity with AI safety frameworks, PII redaction pipelines, or responsible AI governance practices at the enterprise level
Exposure to supply chain, ERP, or data platform modernization use cases
AWS or GCP professional-level certification

Other:

Hybrid work model — flexibility to work remotely with structured in-office collaboration
Direct ownership of AI features shipping into live enterprise client products — visible impact from day one
Global collaboration across seven offices with exposure to diverse enterprise domains and client challenges

AI/ML Engineer – GenAI & LLM Applications

Skills Required

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Experience:

Key Skills:

Role Focus:

Nice to have:

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