Artificial Intelligence Engineer
HireAlpha
About the Role
Hiring an AI Engineer for a financial services client engagement. The role requires hands-on experience in AI.
Key Responsibilities
- Design, build, and deploy AI/ML and GenAI solutions (LLM apps, RAG pipelines, agents) into production.
- Write clean, tested Python code and expose models/agents through APIs.
- Prepare data, evaluate models/prompts, and monitor accuracy, cost, and latency after go-live.
- Work with product, data, and cloud teams to scale use cases from PoC to production.
- Follow responsible-AI, security, and MLOps practices (versioning, CI/CD, observability).
Requirements & Tech Stack
- AI
- LangChain/LangGraph
- Vector databases
- Cloud AI services (Vertex AI / Azure OpenAI / Bedrock)
- MLOps
- Docker/Kubernetes
Qualifications
- B.E./B.Tech/MCA/M.Tech in Computer Science, IT, or equivalent.
- Strong communication and stakeholder skills; able to work in client-facing teams.










