Job Description

We are looking for an

AI/LLM Developer

to design, build, and deploy

applications powered by Large Language Models (LLMs)

. You'll be responsible for developing intelligent, scalable, and production-ready solutions across domains such as

healthcare, education, and enterprise tools

. This role requires strong hands-on development skills, creativity in problem-solving, and a passion for building safe and impactful AI systems.

Key Responsibilities

Design, develop, and integrate

LLM-powered applications

and agentic workflows. Build

retrieval-augmented generation (RAG) pipelines

for structured, context-aware responses. Implement

multi-step reasoning

and function-calling systems for dynamic user interactions. Optimize model performance for

latency, accuracy, and cost-efficiency

. Collaborate with product teams, designers, and domain experts to co-develop solutions. Maintain

robust, well-documented, and testable code

ready for production environments. Implement

guardrails, evaluation frameworks, and safety checks

for reliable AI output. Deploy and monitor AI services using

MLOps and cloud platforms

.

Required Qualifications

Education:

Bachelor's or Master's degree in Computer Science, AI/ML, or related field.

Experience:

3-4 years in AI, ML, or software engineering. Proven

hands-on experience

building production-ready LLM applications or agentic systems. Strong proficiency in

Python

and modern LLM frameworks (e.g., LangChain, LangGraph, LlamaIndex). Experience with

multi-agent frameworks, LLM orchestration, and function-calling implementations

. Familiarity with

prompt engineering, evaluation methods, and guardrail techniques

to reduce hallucinations. Experience with

FastAPI, Flask, or Django

for API development and deployment. Solid understanding of

software engineering best practices

(testing, modular design, version control). Demonstrated ability to collaborate with

non-technical stakeholders

in healthcare or education domains.

Preferred Qualifications

Experience working in or adjacent to

regulated environments

(medical, aerospace, automotive, manufacturing). Knowledge of

regulatory frameworks

for AI/ML in medical devices (FDA, CE). Familiarity with

healthcare data standards

(HIPAA, HL7/FHIR) and clinical workflows. Background in

educational technology

or intelligent tutoring systems. Expertise in

MLOps, cloud deployment, and monitoring

for LLM services. Experience with

embedded AI systems

or

real-time inference

in hardware-constrained environments.
Job Types: Full-time, Permanent

Pay: ₹600,000.00 - ₹1,000,000.00 per year

Benefits:

Health insurance Paid sick time Paid time off Provident Fund
Work Location: In person