JD:

Were looking for an AI Developer to design, build, and ship production-grade AI-powered features and systems. Youll work with LLMs, retrieval pipelines, and agentic workflows, turning prototypes into reliable, scalable products used by real customers.

Key Responsibilities
Design and build LLM-powered applications, including RAG pipelines, tool-calling agents, and multi-step workflows
Integrate foundation model APIs (Anthropic, OpenAI, Azure OpenAI, open-source models) into backend services
Develop prompt strategies, evaluation harnesses, and guardrails to improve output quality, safety, and consistency
Build and maintain data pipelines for embeddings, vector search, and knowledge ingestion
Monitor and optimize latency, cost, and reliability of AI systems in production
Collaborate with product, design, and platform teams to translate business problems into AI solutions
Write clean, tested, well-documented code and participate in code and design reviews
Stay current with advances in the AI ecosystem and evaluate recent tools and techniques

Required Qualifications
3+ years of software development experience, with at least 1 year building LLM or ML-based applications




Solid proficiency in Python (or TypeScript/C#) and REST/async API design
Hands-on experience with LLM APIs, prompt engineering, and function/tool calling
Experience with vector databases and embeddings (e.g., Azure AI Search, Pinecone, pgvector, Qdrant)
Familiarity with cloud platforms (Azure) and containerized deployment (Docker, Kubernetes)
Solid understanding of software engineering fundamentals: testing, CI/CD, version control, observability
Ability to communicate technical trade-offs clearly to both technical and non-technical stakeholders

Preferred Qualifications
Experience with agent frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen, MCP)
Experience building LLM evaluation pipelines and automated regression testing
Knowledge of fine-tuning, model distillation, or running open-source models
Understanding of security, privacy, and compliance considerations for AI systems (PII handling, prompt injection, tenant isolation)
Experience in multi-tenant SaaS or enterprise settings
Background in data engineering or MLOps

📌 Artificial Intelligence Engineer Ahmedabad (India)
🏢 Synoptek
📍 India