Engineer III - App Engg & AI
Anblicks (company site, opens in a new tab)3+ yrsAhmedabadOn-siteDirect career pageEst. 10–18 LPA
Posted on 31 Aug
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Anblicks
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Anblicks you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain AI-enabled applications integrating LLMs, RAG pipelines, and agentic workflows with secure, observable, production-grade standards.
- Implement full-stack solutions including backend services, APIs, user interfaces, cloud-native deployment assets, and secure enterprise connectors.
- Ensure operational readiness, quality engineering, secure engineering, and Agile delivery including logging, telemetry, testing, code reviews, and documentation.
Minimum Requirements
- 3 to 5+ years software engineering experience, including at least 1 year in AI/ML or LLM-integrated applications.
- Proficient in Python or equivalent language for enterprise AI development.
- Experience with REST APIs, asynchronous processing, authentication, CI/CD, and deployments on major cloud platforms.
- Practical experience with LLM SDKs/APIs (prompt orchestration, RAG, tool calling), secure coding, privacy, and responsible AI controls.
Ideal Candidate Profile
- Experienced full-stack AI developer comfortable building and integrating complex LLM-driven workflows and enterprise-grade solutions.
- Skilled in managing end-to-end AI application lifecycle in fast-paced Agile environments with iterative evaluation and stakeholder feedback.
- Familiar with secure coding practices, operational readiness, and compliance requirements, especially in regulated domains like financial services.