Engineer III - App Engg & AI

Anblicks Inc.; India; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Anblicks Inc. seeks an AI Developer to design, build, test, and support AI-enabled applications and integrations. The role blends software engineering with practical LLM, retrieval, and tool integration experience to deliver production-ready capabilities.

The candidate will work with architects and product stakeholders to translate validated use cases into secure, observable systems, emphasizing secure coding, privacy, and rapid iteration.

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 and REST APIs experience.
• Experience deploying applications on a major cloud platform and CI/CD pipelines.

Responsibilities

• AI application development: Build LLM-enabled features, RAG pipelines, agentic workflows, and model/API integrations.
• Full-stack implementation: Develop backend services, APIs, UI components, data integrations, and deployment assets.
• Model and prompt engineering: Develop prompts, grounding, structured outputs, tool calling, and evaluation harnesses.
• Integration engineering: Create secure connectors to enterprise APIs, workflow systems, and data platforms.
• Quality engineering: Develop unit, integration, security, and AI-quality tests including groundedness and latency evaluations.
• Operational readiness: Add logging, tracing, telemetry, and runbooks for diagnostics.
• Secure engineering: Follow secure coding practices and privacy requirements.
• Agile delivery: Estimate work, deliver sprint commitments, and participate in code reviews.
• Documentation: Document interfaces, configurations, and deployment procedures.

Skills

Python

REST APIs

CI/CD

Git

LLM SDKs

Prompt orchestration

RAG pipelines

Vector retrieval

Tool calling

Structured outputs

Azure OpenAI

Azure AI Foundry

Anthropic Claude

Tools

Azure OpenAI

Anthropic Claude

Model Context Protocol

LLM frameworks

Job description

Anblicks is seeking an AI Developer to design, build, test, and support AI-enabled applications and integrations. The role combines strong software engineering with practical experience using large language models, retrieval, tool integration, and agentic workflows. The successful candidate will work closely with architects and product stakeholders to convert validated use cases into secure, observable, production-ready capabilities.

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.