Anblicks is hiring AI Engineers in Ahmedabad Gujarat. Candidates who are available to join immediately are only requested to apply

Responsibilities

- AI application development: Build LLM-enabled features, RAG pipelines, agentic workflows, intelligent automation, and model/API integrations using clean, modular code.

- Full-stack implementation: Develop backend services, APIs, user-facing components, data integrations, and cloud-native deployment assets as required by the solution.

- Model and prompt engineering: Implement prompt templates, grounding, structured outputs, tool calling, context management, model routing, and evaluation harnesses.

- Integration engineering: Create secure connectors to enterprise APIs, workflow systems, knowledge repositories, data platforms, and approved external services.

- Quality engineering: Develop unit, integration, regression, security, and AI-quality tests, including groundedness, correctness, safety, latency, and cost evaluations.

- Operational readiness: Add logging, tracing, telemetry, exception handling, usage controls, runbooks, and support diagnostics.

- Secure engineering: Follow secure coding, secrets management, least privilege, privacy, data handling, and responsible AI requirements.

- Agile delivery: Estimate work, deliver sprint commitments, participate in design and code reviews, resolve defects, and maintain transparent delivery status.

- Documentation and knowledge transfer: Document code, configuration, interfaces, deployment procedures, architecture decisions, and operational guidance.

Required Qualifications

- 3 to 5+ years of software engineering experience,



including at least 1 year building AI/ML or LLM-integrated applications.

- Strong Python development skills or equivalent proficiency in a language used for enterprise AI applications.

- Experience with REST APIs, asynchronous processing, authentication, data access, testing, Git, and CI/CD.

- Practical experience with up-to-date LLM SDKs/APIs, prompt orchestration, RAG, vector retrieval, tool calling, and structured outputs.

- Experience deploying applications on a major cloud platform and troubleshooting across application, model, integration, and data layers.

- Ability to write maintainable, production-ready code and participate actively in peer reviews.

- Comfort working within short iteration cycles and adapting implementation based on evaluation evidence and stakeholder feedback.

- Working knowledge of privacy, secure coding, and responsible AI controls for enterprise applications.

Preferred Qualifications

- Experience with Azure AI Foundry, Azure OpenAI, Anthropic Claude, Model Context Protocol, or comparable AI platforms and frameworks.

- Experience with full-stack frameworks, containers, serverless services, API management, event-driven integration, and observability tools.

- Familiarity with prompt/model evaluation frameworks, synthetic test generation, red-team testing, and LLMOps practices.

- Experience integrating work-management, IT service-management, risk, compliance, or enterprise knowledge platforms.

- Experience in financial services, lending, auto finance, compliance, risk, or another regulated environment.

- Knowledge of SQL, data engineering, semantic layers, vector databases/search, or knowledge graphs.

📌 Artificial Intelligence Engineer (Ahmedabad)
🏢 Anblicks
📍 Ahmedabad