Title: Senior Ai Developer
Duration: 12 Months
Key Responsibilities
Design, develop, test, and deploy AI-powered applications and services.
Build enterprise AI solutions using Amazon Bedrock and related foundation-model platforms.
Develop Agentic AI and multi-agent workflows using LangChain, CrewAI, LangGraph, and similar frameworks.
Develop AI-powered coding and automation solutions using Claude Code and Codex.
Integrate LLMs, APIs, enterprise data sources, vector databases, and external tools.
Design and implement RAG, semantic search, embeddings, prompt engineering, and agent-based architectures.
Develop scalable Python-based APIs, microservices, and cloud-native applications.
Optimize model inference, latency, token usage, reliability, and cloud costs.
Build evaluation and monitoring processes to improve AI response quality and reduce hallucinations.
Implement secure and governed AI solutions aligned with enterprise requirements.
Use Git, CI/CD, Terraform, and DevOps practices to automate deployment and delivery.
Troubleshoot AI applications, integration issues, deployment pipelines, and production workloads.
Evaluate emerging AI technologies and recommend practical solutions.
Create technical documentation, architecture diagrams, implementation plans, and operational procedures.
Collaborate with product owners, architects, engineers, consultants, and business stakeholders
Required Qualifications
5+ years of software development experience.
2+ years of hands-on Generative AI / AI development experience.
Strong Python development experience.
Hands-on experience with Amazon Bedrock.
Experience with LangChain and/or LangGraph.
Experience developing Agentic AI / Multi-Agent systems.
Experience with CrewAI or similar agent orchestration frameworks.
Hands-on experience with Claude Code and Codex.
Strong understanding of:LLMs
RAG
Prompt Engineering
Vector Search
Embeddings
Semantic Search
Tool Calling
Agent Orchestration
Experience building REST APIs, FastAPI, microservices, and cloud-native applications.
Experience with AWS and/or other major cloud platforms.
Experience with Git, CI/CD, and DevOps.
Strong problem-solving and troubleshooting skills.
Excellent communication and collaboration skills.