The Role
Build and deploy production AI systems, including LLM agent systems, RAG applications, data pipelines, forecasting models, and decision-support tools. Responsibilities include integrating structured data and APIs, deploying scalable ML infrastructure with Docker, Kubernetes, FastAPI, and cloud platforms, monitoring model performance, and translating business problems into AI solutions. The role requires strong Python, machine learning, LLM, data engineering, and production software development skills.
Summary Generated by Built In
Applied AI / LLM Systems Engineer
Location: Gurgaon
Team: AI/ML
Role Overview
We are looking for a highly skilled Applied AI Engineer to build and deploy production-grade AI systems across forecasting, data intelligence, and LLM-powered automation.
This role focuses on designing agentic AI systems, data pipelines, and predictive models that directly power business decision-making. You will work on building systems such as price intelligence engines, automated data pipelines, forecasting models, and LLM-powered decision agents.
The ideal candidate combines strong ML fundamentals, software engineering rigor, and experience deploying AI systems in production.
Key Responsibilities
Build Production AI Systems
- Design and deploy LLM-powered agent systems using frameworks like LangGraph, AutoGen, or LangChain
- Build AI pipelines integrating structured data, APIs, and external sources
- Implement RAG architectures for knowledge-driven applications
ML Infrastructure & Deployment
- Deploy models using:
- Docker
- Kubernetes
- FastAPI
- AWS / GCP
- Build scalable ML pipelines
- Implement model monitoring and performance tracking
AI Product Development
- Convert business problems into AI-driven solutions
- Build decision-support tools powered by ML models
- Work closely with leadership to implement AI-first workflows
Required Skills
Core AI / ML
- Strong experience with Python
- Machine learning frameworks:
- PyTorch
- Scikit-learn
- LightGBM / XGBoost
- Experience building time-series forecasting models
LLM Systems
- Experience building applications with:
- LangChain
- LangGraph
- AutoGen
- Experience with RAG architectures
- Familiarity with open-source models such as:
- LLaMA
- Mistral
- Mixtral
Data Engineering
- SQL and data modeling
- ETL pipeline development
- Web scraping and API integrations
Infrastructure
- Docker
- Cloud platforms (AWS/GCP/Azure)
- CI/CD pipelines
Good to Have
- Experience with agentic AI systems
- Vector databases (Pinecone, Weaviate, FAISS)
- Experience with price optimization systems
- Experience building data products or internal AI tools
Ideal Candidate Profile
- 3–5 years of experience in ML/AI engineering
- Strong programming and system design skills
- Experience shipping AI systems to production
- Ability to translate business problems into AI solutions
Skills Required
- 3-5 years of experience in machine learning or AI engineering
- Strong Python programming experience
- Experience with PyTorch and Scikit-learn
- Experience with LightGBM or XGBoost
- Experience building time-series forecasting models
- Experience building applications with LangChain, LangGraph, or AutoGen
- Experience with retrieval-augmented generation architectures
- Familiarity with open-source models such as LLaMA, Mistral, or Mixtral
- SQL and data modeling experience
- Experience developing ETL pipelines
- Experience with web scraping and API integrations
- Experience deploying models using Docker, Kubernetes, FastAPI, and cloud platforms
- Experience building scalable ML pipelines
- Experience implementing model monitoring and performance tracking
- Experience with CI/CD pipelines
- Strong programming and system design skills
- Experience shipping AI systems to production
- Ability to translate business problems into AI solutions
- Experience with agentic AI systems
- Experience with vector databases such as Pinecone, Weaviate, or FAISS
- Experience with price optimization systems
- Experience building data products or internal AI tools
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The Company
What We Do
Infinite Locus is an integrated brand, growth, and technology partner that works with businesses from strategy through execution. Its services span brand strategy and design, content and social media, performance marketing, SEO, CRO and CRM, alongside full-stack development, ERP and supply-chain systems, data intelligence, demand forecasting, AI, and automation. The company emphasizes tailored solutions, accountable delivery, and measurable business outcomes rather than handing strategy and execution to separate providers.
