Description

Key Responsibilities

Partner with customers to understand business needs and translate them into AI solutions.

Build and deploy LLM, RAG, AI-agent, and automation applications. Integrate AI solutions with enterprise systems, APIs, databases, and SaaS platforms.

Take solutions from POC → production → optimization.

Troubleshoot performance, scalability, security, and reliability issues.

Collaborate with Solutions Architects, Engineers, Product, and Customer teams.

Demonstrate measurable business impact from AI implementations.

Required Skills

Strong Python and software engineering fundamentals.

Hands-on experience with LLMs, GenAI, RAG, and AI agents.

Experience with REST APIs, SDKs, databases, and system integrations. Experience with AWS, Azure, or GCP. Strong SQL and data-handling skills.

Git, Docker, CI/CD, and production deployment experience.

Familiarity with frameworks such as LangChain, LangGraph, or LlamaIndex preferred.

Strong understanding of AI security, evaluation, and responsible AI practices preferred.

Customer & Business Skills

Strong customer-facing and consulting skills.

Excellent communication and presentation abilities. Ability to work with ambiguous requirements and move quickly from idea to implementation.

Strong business acumen and focus on measurable outcomes.

Experience 

3–7+ years in software engineering, AI/ML, data engineering, solutions engineering, or technical consulting.

Demonstrated experience taking AI solutions from prototype to production.

Bachelor's/Master's degree in Computer Science, Engineering, AI/ML, or equivalent experience

Key Skills

Education

Bachelor’s/Master’s degree