
AI/ML Developer
2 weeks ago
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, ₹1,000,000.00 per year
Benefits:
- Health insurance
- Paid sick time
- Paid time off
- Provident Fund
Work Location: In person
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