We are looking for AI Developer

Company :-Analytics Company

Location :- Bangalore

Exp ;- 7 to 10

Role Overview The AI Developer will build, test, and deploy scalable GenAI and agentic AI applications across analytics, operations and digital transformation engagements.

This role focuses on hands-on development of LLM-powered systems, RAG pipelines, agent orchestration frameworks, enterprise AI governance and AI automation workflows.

This is a technical individual contributor role in capability development & pre-sales team with a solid focus on engineering excellence and capability development.

Responsibilities

GenAI Application Development

- Develop LLM-powered applications using Python-based frameworks.
- Implement RAG pipelines and vector database integrations.
- Build prompt orchestration workflows and response optimization logic.

Agentic Workflow Implementation
- Develop AI agents with tool integration capabilities.
- Implement reasoning loops, memory modules, and execution controls.
- Integrate AI agents into backend systems and APIs.

Deployment & Optimization
- Build REST APIs and microservices for AI applications.
- Optimize inference performance, latency, and cost.
- Support CI/CD pipelines and cloud deployments.

Testing & Quality
- Implement evaluation metrics for hallucination control and accuracy.
- Debug and resolve performance bottlenecks.
- Document code, workflows, and solution design.

Experience and Competency Requirements
- 48 years of software development experience.
- 2+ years working with AI/ML or GenAI applications.
- Strong proficiency in Python.
- Experience with LLM APIs, embeddings, and vector databases.




- Exposure to cloud-based deployments and containerization.
- Strong analytical and debugging capabilities.
- Should have decent to good experience in data handling and analytics with python

Skills GenAI & LLM Frameworks (Mandatory)
- OpenAI APIs / Azure OpenAI
- LangChain / LangGraph / LlamaIndex
- Transformers (Hugging Face)
- Prompt engineering and evaluation frameworks

Agentic Systems & Orchestration
- Multi-agent design patterns (MCP, A2A, ReAct etc)
- Tool integrations and API orchestration
- Memory frameworks and contextual reasoning
- Guardrails, observability, and monitoring

Data & Infrastructure
- Vector databases (Pinecone, FAISS, Weaviate or equivalent)
- Python, FastAPI, REST services
- Docker, Kubernetes
- Cloud platforms (AWS, Azure, GCP)

Data Handling & Analytics Skills
- Data preprocessing and ETL for structured and unstructured data
- Data manipulation using Pandas, NumPy, and SQL
- Exploratory data analysis (EDA) and statistical analysis
- Data visualization (Matplotlib, Seaborn, Plotly, Tableau, Power BI)
- Metrics design for AI evaluation, monitoring, and performance measurement
- Knowledge of data quality, validation, and governance best practices

Advanced Capabilities Fine-tuning and model evaluation
- AI governance and responsible AI
- Cost optimization and performance benchmarking

Preferred Qualifications
- Experience in consulting, analytics, or managed services environments.
- Exposure to industry AI applications (Insurance, Healthcare, Banking, Media).
- Experience contributing to production-grade AI systems.

Interested Candidate please share your updated Profile :[email protected]

📌 Hiring For GenAI Engineer (Bengaluru)
🏢 CLARITY CONSULTING
📍 Bengaluru