Applied AI Engineer

Dotnet Applied AI Engineer - Assistant Maanger / Engineering manager

Exp -6-13 yrs

Joining Location - Hyderabad / Bangalore

Primary Skills - (.Net/C#)+(Angular/React)+(AWS)+ (AI/ML / Generative AI / GenAI / LLMs / Agents / Assistants) + (Team Management)

The successful candidate will possess:

Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

Required Qualifications:

A bachelors degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant factor.

6+ years of full-stack software engineering experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit and integration testing frameworks.

2+ years of experience building AI/ML and agentic applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration.

3+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or GCP, including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code and cost-aware engineering (FinOps accountability).

1+ years of experience in establishing engineering standards, including actively leading, mentoring, and guiding team members in the adoption and continuous improvement of these standards.

Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI-augmented spec-driven development.

Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent multi-agent orchestration tools) etc. to deliver high-quality products rapidly.

Other:

Ability to travel 10%, on average, based on the work you do and products you build.

Limited immigration sponsorship may be available.

Lead Applied AI Engineer I (AWS)