Artificial Intelligence Engineer

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 modern 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.