AI Product Engineer
cognologix
Job Description
- Perform work both independently and collaboratively as a project member.
- Collaborate with Product Management team, elicit GenAI use case specific requirements, explore and evaluate approaches
- Design, develop, and deploy Agentic AI applications for real-world business problems such as risk analysis, information search, audit & compliance checks etc.
- Own the end-to-end AI lifecycle: requirements, solution design, model/tech selection, prompt engineering /optimization, deployment, monitoring and continuous improvement.Own the end-to-end AI lifecycle: requirements, solution design, model/tech selection, prompt engineering /optimization, workflow development, deployment, monitoring and continuous improvement.
- Build and orchestrate Agentic AI systems using frameworks such as LangChain, LangGraph, LlamaIndex, Autogen, or similar, enabling reasoning, planning, and tool usage.
- Develop scalable GenAI services using Python, REST/GraphQL APIs, background jobs, and event-driven systems.
- Deploy GenAI solutions to production using cloud-native architectures, ensuring: Security, scalability, low latency, and cost optimization Responsible AI practices (guardrails, moderation, data privacy)
- Apply MLOps/LLMOps best practices including CI/CD for GenAI workflows, prompt versioning, experiment tracking, monitoring for hallucinations, token usage etc.
- Explore new tools, technologies, papers, frameworks in Gen AI domain.
- Contribute to code reviews, documentation, and knowledge sharing within the AI/ML team.
- Mentor, guide junior team members