Senior Java Developer

Alpharetta, GA - USA

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

Required Skills Experience & Abilities:

Core Software Engineering Skills (Must Have)
- Strong coding in Python (often primary) and/or TypeScript/Java.
- Solid fundamentals: data structures APIs concurrency/async error handling clean architecture.
- Experience building microservices and integrating with internal/external APIs.
- Familiarity with CI/CD automated testing code reviews and release management. Agentic / LLM Engineering Skills (Must Have)
- Designing and implementing agent workflows: planning tool selection execution verification.
- Tool/function calling patterns and building reliable tool interfaces (idempotency retries timeouts).
- Prompt engineering plus prompt/version management and safe prompt templating.
- Handling non-determinism: evaluations guardrails deterministic fallbacks and replayable runs.
- Building multi-step orchestration (state machines DAGs workflow engines or agent frameworks). Retrieval Knowledge Integration (Often Required)
- Building RAG pipelines: chunking embeddings indexing retrieval strategies and reranking.
- Working knowledge of vector databases (e.g. Pinecone pgvector FAISS Weaviate) and search.
- Grounding and citation approaches; freshness and permission-aware retrieval. Reliability Safety and Governance
- Implementing guardrails: PII redaction prompt injection defenses policy filters and allow/deny tool lists.
- Designing for observability: tracing agent steps tool calls latency token/cost metrics.
- Building robust fallbacks (rule-based flows smaller models cached answers human escalation).
- Secure handling of secrets and credentials; least-privilege tool access. Evaluation & Quality (Critical for Agentic Systems)
- Creating evaluation suites: golden tasks regression sets scenario tests adversarial tests.
- Defining success metrics (task completion rate groundedness hallucination rate latency cost).
- Experience with A/B testing or online evaluation in production. Platform/Infrastructure (Preferred)
- Cloud experience (AWS/Azure/GCP) containers (Docker) optionally Kubernetes.
- Familiarity with scalable data pipelines and queues (Kafka/SQS/PubSub) for async agent work.
- Experience optimizing inference costs/latency (model choice batching caching token reduction).

Nice-to-Haves
- Experience with frameworks like LangChain LlamaIndex or workflow engines (Temporal Step Functions Airflow).
- Knowledge of security engineering relevant to LLM apps (prompt injection data exfiltration patterns).
- Domain expertise in the product area (e.g. telecom operations network management customer support). Soft Skills
- Strong cross-functional collaboration with product security and platform teams.
- Ability to translate business workflows into agent capabilities and measurable outcomes.
- Comfortable operating in ambiguity and iterating from prototype hardened production.

Required Skills Experience & Abilities: Core Software Engineering Skills (Must Have) - Strong coding in Python (often primary) and/or TypeScript/Java. - Solid fundamentals: data structures APIs concurrency/async error handling clean archit...

Required Skills Experience & Abilities: