Taggd
Senior Applied AI Engineer - Java/Python
- Compensation
- Not disclosed
- Location
- Gurgaon/Gurugram
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 6+ years
- Category
- Ai engineering
- Posted
Skills
Full description
Senior Applied AI Engineer
Full-Time - 7+ Years Experience
Role Summary :
We are looking for a Senior Applied AI Engineer (7+ years experience) to design and build AI-powered software systems. This role focuses on leveraging Java, Python, and relational databases, along with modern AI tools and frameworks, to rapidly prototype and scale AI-driven applications into production.
Key Responsibilities :
- Leverage AI-assisted coding tools such as Claude Code, GitHub Copilot, Cursor, and ChatGPT to accelerate development.
- Design and develop scalable backend services using frameworks like Spring Boot, FastAPI, Flask, or Django.
- Architect, design, and optimize relational databases (PostgreSQL, MySQL), including schema design and performance tuning.
- Build rapid Proof of Concepts (POCs) and convert them into robust, production-grade solutions.
- Integrate AI/LLM services such as OpenAI APIs and Anthropic Claude into applications.
- Collaborate cross-functionally with product, design, and engineering teams to deliver high-impact features.
- Ensure code quality through best practices including unit testing, code reviews, and CI/CD pipelines.
- Mentor junior engineers and contribute to technical decision-making and architecture.
Required Skills & Experience :
- 7+ years of professional software development experience.
- Strong proficiency in Java and Python.
- Solid experience in designing and building RESTful APIs.
- Deep expertise in relational databases, including SQL optimization, indexing, and schema design.
- Hands-on experience with AI-assisted development tools.
Experience working with AI/LLM frameworks such as :
- LangChain
- LangGraph
- AutoGen
- CrewAI
- Strong problem-solving skills and ability to work in fast-paced environments.
Nice-to-Have Skills :
- Experience with prompt engineering and LLM-based application development.
- Exposure to cloud platforms like AWS, GCP, or Azure.
- Hands-on experience with containerization and orchestration (Docker, Kubernetes).
- Familiarity with NoSQL databases such as MongoDB and Redis.
- Experience with Voice AI technologies (Whisper, ElevenLabs, Deepgram).