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.

Work arrangement
No