Role Overview
- We are looking for a hands-on GenAI Developer to implement and optimize Generative AI applications and pipelines. This role emphasizes implementation and execution, including coding, integration, monitoring, and optimization of LLM-powered workflows under the guidance of the Architect.
Key Responsibilities
- Integrate LLMs (Llama, OpenAI, Claude, Mistral, Gemini) and embedding models into applications.
- Implement agentic workflows using LangGraph, AgentCore, Google SDK, applying patterns such as Planner-Executor, Reflection Loops, and Multi-Agent Orchestration.
- Build and optimize data ingestion and retrieval pipelines including preprocessing, chunking, enrichment, embeddings, and vector indexing.
- Integrate coarse-grained controls (data masking, compliance filters, enterprise-wide security checks).
- Prototype in Jupyter Notebooks and transition solutions to production.
- Implement LLMOps practices:
- • Instrument pipelines for metrics (latency, cost, hallucination rate, accuracy, compliance violations).
- Build dashboards, alerts, and feedback loops.
- Automate evaluations (A/B testing, prompt regression checks, continuous accuracy testing).
- Collaborate with Architect to integrate knowledge graphs where applicable.
- Deploy and maintain solutions on AWS, GCP, or Azure leveraging GPU/compute environments.
Required Skills & Experience
- 4+ years of professional experience, with a minimum of 1 year focused on Generative AI technologies
- Strong programming in Python; working knowledge of JavaScript.
- Experience developing on cloud platforms (AWS, GCP, Azure) with GPU-backed compute.
- Proficiency with Jupyter Notebooks for experimentation.
- Hands-on with LLMs, embeddings, and vector search pipelines.
- Experience implementing agentic workflows with security guardrails.
- Familiarity with knowledge graphs is a plus.
- Proven experience in LLMOps implementation (logging, monitoring, evaluation pipelines, observability tools).
- Strong debugging, problem-solving, and execution focus.
Education Qualification
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