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 current tools and techniques

Required Qualifications

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




- Strong 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 environments
- Background in data engineering or MLOps

📌 Artificial Intelligence Engineer (Ahmedabad)
🏢 Synoptek
📍 Ahmedabad