AI LEAD L1

Job Description

Mandatory Skills Core:

Auto Gen, Pydantic AI, Python, Langfuse, Mem0 + Redis, RAG pipeline (vector search + retrieval), Embedding models

P referred Skills :

Pipecat, Lang Chain, ChromaDB

Job Description / Roles & Responsibilities (in Detail)

Stack: Core:

Auto Gen, Pydantic AI, Python, Langfuse, Mem0 + Redis, RAG pipeline (vector search + retrieval), Embedding models

Optional:

Pipecat, Lang Chain, ChromaDB

Scope:

Design and orchestrate multi-agent systems using Auto Gen & Pydantic AI

Implement RAG pipelines, memory management, and observability with Langfuse

Integrate security, performance, and quality gates into production systems

Prompt & Context engineering incl. memory management.

Guardrails:

Implement policy enforcement for prompt injection prevention

Add role-based access control (RBAC) for agent actions

Validate tool invocation safety and restrict sensitive operations

Apply content filtering for PII and compliance-sensitive data

Security & Compliance:

OAuth2/OIDC, JWT, secrets management (Azure Key Vault/Hashi Corp Vault), PII redaction

Quality/Evals:

Writing & monitoring Eval scores, A/B experiments; Langfuse metrics as quality gates

Performance:

Async workers (Celery/RQ), batching, Redis caching strategies

Observability:

Open Telemetry integration; dashboards for latency, throughput, error rates, token/cost

Experience:

5–8 years in software engineering, with recent hands-on experience in AI/LLM systems (1–2 years), strong OOP and dynamic programming skills