Artificial Intelligence Engineer

Codeforce 360; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 1,400,000 - 2,400,000; Full time

Job summary

Codeforce 360 in Hyderabad is seeking a hands-on AI engineer to build agentic AI applications using LangChain or LangGraph. You will work with LLM APIs, RAG architectures, and vector databases to deliver scalable AI solutions.

You will deploy on AWS/Azure/GCP with Docker/Kubernetes, CI/CD, and MLOps practices, and mentor junior engineers while coordinating with US-based stakeholders across time zones.

Qualifications

• Hands-on experience building agentic AI applications using LangChain, LangGraph, or equivalent orchestration frameworks.
• Strong Python proficiency with LLM APIs (Anthropic/OpenAI), RAG architectures, vector databases, and embeddings.
• Experience deploying AI solutions on AWS/Azure/GCP with Docker/Kubernetes, CI/CD, and LLMOps/MLOps practices.
• Ability to implement agentic capabilities task planning, tool use, retrieval, reasoning, and memory modules.
• Experience developing evaluation frameworks for hallucination mitigation, accuracy, and reasoning quality.
• Working knowledge of regulated-industry practices GxP, 21 CFR Part 11, HIPAA, auditability, and traceability.
• Proven ability to lead technical work independently and mentor junior/mid-level engineers.
• Strong communication skills; comfortable engaging with US-based stakeholders across time zones.

Skills

Agentic AI development

Python

LLM APIs

RAG architectures

Vector databases

Embeddings

LangChain

LangGraph

Tools

Docker

Kubernetes

AWS

Azure

GCP

CI/CD

Job description

Hands-on experience building agentic AI applications using LangChain, LangGraph, or equivalent orchestration frameworks.

• Strong Python proficiency with LLM APIs (Anthropic/OpenAI), RAG architectures, vector databases, and embeddings
• Experience deploying AI solutions on AWS/Azure/GCP with Docker/Kubernetes, CI/CD, and LLMOps/MLOps practices
• Ability to implement agentic capabilities task planning, tool use, retrieval, reasoning, and memory modules
• Experience developing evaluation frameworks for hallucination mitigation, accuracy, and reasoning quality
• Working knowledge of regulated-industry practices GxP, 21 CFR Part 11, HIPAA, auditability, and traceability
• Proven ability to lead technical work independently and mentor junior/mid-level engineers
• Strong communication skills; comfortable engaging with US-based stakeholders across time zones.

Good to Have

• Familiarity with Model Context Protocol (MCP), tool/function calling, and AI gateways
• Experience with observability and monitoring dashboards for agent performance and drift detection
• Prior exposure to clinical development, pharmacovigilance, or regulatory domain workflows
• Experience with life sciences, pharma, or healthcare IT environments

Contribution to reusable frameworks, shared components, or architecture standards at portfolio level.