Artificial Intelligence Developer

Carelon Global Solutions; Gurugram District, Bengaluru; Hybrid; INR 2,600,000 - 4,200,000; Full time

Job summary

Carelon Global Solutions in India seeks an experienced AI/ML Engineer to design and deploy scalable LLM, RAG, and agent-based systems. You will architect inference pipelines and drive productionization with cost-aware optimizations.

You will collaborate with data science, research, and product teams to deliver robust, secure, and reproducible AI solutions, applying best practices in CI/CD and software engineering.

Qualifications

• Proficient in Python with strong data libraries (NumPy, Pandas, scikit-learn).
• Deep learning expertise with PyTorch or TensorFlow.
• Hands-on with LLM frameworks (Hugging Face Transformers, LangChain).
• Experience with agentic AI frameworks (AutoGen, CrewAI, LangGraph).
• Experience building RAG pipelines, semantic search, and vector stores.

Responsibilities

• Build and deploy scalable LLM, RAG, and agent-based systems.
• Architect LLM inference and deployment pipelines.
• Optimize models for production cost and performance.
• Collaborate with data science, research, and product teams.
• Ensure clean code, testing, reproducibility, and CI/CD.

Skills

Advanced Python

NumPy

Pandas

scikit-learn

PyTorch

TensorFlow

LLM frameworks

Hugging Face Transformers

LangChain

Agentic AI

AutoGen

CrewAI

LangGraph

RAG pipelines

Semantic search

Vector databases

Software engineering

Microservices

TDD

Concurrency

Prototype to production

Tools

None

Job description

Key Responsibilities

• Build and deploy scalable LLM, RAG, and agent-based systems
• Architect LLM inference and deployment pipelines
• Optimize models for efficient and cost-effective production
• Collaborate with data science, research, and product teams
• Ensure clean code, testing, reproducibility, and CI/CD
• Mentor junior engineers and drive engineering best practices
• Ensure ethical, secure, and responsible AI development

Required Skills

• Advanced Python with strong fundamentals in NumPy, Pandas, scikit-learn
• Deep learning expertise in PyTorch / TensorFlow
• Hands-on with LLM frameworks: Hugging Face Transformers, LangChain (prompting & fine-tuning)
• Strong experience with Agentic AI frameworks: AutoGen, CrewAI, LangGraph
• Expertise in RAG pipelines, semantic search, vector databases
• Strong software engineering practices: microservices, TDD, concurrency
• Ability to rapidly prototype and productionize GenAI solutions

Good-to-Have Skills

• Model optimization: Quantization (GPTQ, AWQ), pruning, distillation
• Multimodal AI (text, vision, audio): CLIP, BLIP, Whisper, LLaVA
• LLM serving using FastAPI and vector DBs (FAISS, Pinecone, Chroma)
• CI/CD pipelines, Airflow, Docker, Kubernetes / Helm
• Cloud AI deployments on AWS / Azure / GCP (e.g., SageMaker)
• MLOps & tracking: Git, MLflow
• Data pipelines & ELT/ETL using Snowflake